Next Article in Journal
Production of Trehalose from Maltose by Whole Cells of Permeabilized Recombinant Corynebacterium glutamicum
Next Article in Special Issue
TLC–Densitometric Analysis of Selected 5-Nitroimidazoles
Previous Article in Journal
Research on the Optimization Method of Safety Input Structure in Coal Mine Enterprise
Previous Article in Special Issue
Assessment of a Diverse Array of Nitrite Scavengers in Solution and Solid State: A Study of Inhibitory Effect on the Formation of Alkyl-Aryl and Dialkyl N-Nitrosamine Derivatives
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

UPLC Technique in Pharmacy—An Important Tool of the Modern Analyst

by
Paweł Gumułka
1,2,
Joanna Żandarek
1,2,
Monika Dąbrowska
2,* and
Małgorzata Starek
2,*
1
Doctoral School of Medical and Health Sciences, Jagiellonian University Medical College, 16 Łazarza St., 31-530 Kraków, Poland
2
Department of Inorganic and Analytical Chemistry, Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna St., 30-688 Kraków, Poland
*
Authors to whom correspondence should be addressed.
Processes 2022, 10(12), 2498; https://doi.org/10.3390/pr10122498
Submission received: 17 October 2022 / Revised: 17 November 2022 / Accepted: 22 November 2022 / Published: 24 November 2022

Abstract

:
In recent years, ultra-efficient liquid chromatography (UPLC) has gained particular popularity due to the possibility of faster separation of small molecules. This technique, used to separate the ingredients present in multi-component mixtures, has found application in many fields, such as chemistry, pharmacy, food, and biochemistry. It is an important tool in both research and production. UPLC created new possibilities for analytical separation without reducing the quality of the obtained results. This technique is therefore a milestone in liquid chromatography. Thanks to the increased resolution, new analytical procedures, in many cases, based on existing methods, are being developed, eliminating the need for re-analysis. Researchers are trying to modify and transfer the analytical conditions from the commonly used HPLC method to UPLC. This topic may be of strategic importance in the analysis of medicinal substances. The information contained in this manuscript indicates the importance of the UPLC technique in drug analysis. The information gathered highlights the importance of selecting the appropriate drug control tools. We focused on drugs commonly used in medicine that belong to various pharmacological groups. Rational prescribing based on clinical pharmacology is essential if the right drug is to be administered to the right patient at the right time. The presented data is to assist the analyst in the field of broadly understood quality control, which is very important, especially for human health and treatment. This manuscript shows that the UPLC technique is now an increasingly used tool for assessing the quality of drugs and determining the identity and content of active substances. It also allows the monitoring of active substances and finished products during their processing and storage.

Graphical Abstract

1. Introduction

Over the years, the high-performance liquid chromatography (HPLC) technique has gained immense popularity in most analytical laboratories. The liquid chromatograph is believed to be the third most popular laboratory equipment, right after balance and pH meters. Of course, as with any technique, it is constantly being improved. At the beginning of the 1970s, columns (filled with non-porous, irregularly shaped silicate gel of about 40 µm in size) with very low efficiency (the number of theoretical plates was about 1000 per 1 m bed) were commercially available. Later, columns with a grain of 10 μm in diameter were produced, followed by silica gel columns with spherical, porous grains with a diameter of 5 μm. These increased the yield to about 12,000 theoretical plates with a column length of 150 mm. In the 1990s, columns with grains of 3 µm in diameter were created. Subsequently, it was found that further grain reduction was not justified due to the costs and problems associated with their use. The breakthrough year was 2004 when a completely new model of the Waters UPLC liquid chromatograph equipped with columns with a grain diameter of 1.7 µm appeared on the market. It can now be concluded that UPLC (e.g., ultra-performance liquid chromatography) has proven to be a milestone in liquid chromatography [1]. This technique, serving to separate the components present in mixtures, has found application particular to the analysis of thermally labile or low-volatile compounds. In recent years, it has gained particular popularity due to the possibility of faster separation of small molecules [2]. Chromatographic columns with particles <2 μm are used here, applied in equipment capable of working under high pressure. The flow rates are lower than in classical HPLC, but due to the increase in yield, the total separation time is shortened. This allows the particles to be separated quickly with high efficiency. UPLC is therefore an effective chromatography technique that offers a wide flow range and significantly reduces analysis time.
The basic principle upon which UPLC is based is that as the size of the fill particles decreases, so does the efficiency and hence the resolution. After particle size reduction to less than 2 µm, the efficiency shows a significant increase and does not decrease at increased line velocities or flow rates, in accordance with the van Deemter equation. It is known that the smaller the grain diameter of the column packing, the lower the height of the theoretical plate, i.e., the higher the column efficiency, will be. The minimum of the van Deemter curve corresponds to the ideal flow velocity at which the highest column efficiency is obtained [3]. Thanks to the use of smaller particles, the speed of analysis and the so-called peak capacity (number of peaks per unit time) tend to maximum values. In addition, to improve the efficiency, an increased temperature range should be used (this increases the flow rate of the mobile phase by reducing its viscosity, i.e., significantly lowering the back pressure) and monolithic columns (consisting of a solid piece with flow paths connected by skeletons, so-called passage pores).
The remaining components of the van Deemter equation depend on the grain size. Smaller grains reduce the height, i.e., the column has more theoretical plates per unit length (it is more efficient). Due to the small grains, the analyte can migrate faster to/from the grain as its diffusion path is shorter. This elutes the analyte as a narrow peak (spends less time in the stationary phase where the bandwidth is extended). For example, assuming the grain size will decrease from 5 to 1.7 μm with a constant column length, the resolution should improve 1.7 times, the analysis should be 3 times shorter, the sensitivity will increase 1.7 times, and the pressure will be 27 times higher [4]. However, assuming a constant column length to grain size ratio, the resolution will not change, the analysis will be 9 times shorter, the sensitivity 3 times higher, and the pressure 9 times higher. These dependencies are the reason why producers are constantly working to reduce grain size.
As already mentioned, the separation efficiency increases as the particle size decreases. With smaller particles, the pressure in the column increases significantly, resulting in very high pressures in longer columns. Thus, 1.9 µm columns of the same length as normal 5 µm HPLC columns cannot be used for standard LC systems. For this reason, UPLC columns have lower or similar yields than standard HPLC columns. This translates into faster analysis time but not always better performance.
The main advantages of the UPLC technique include the reduction of analysis time and increased sensitivity and resolution. These changes became possible thanks to the new design of chromatograph elements, including columns, pumps, dozers, and detectors with a reduced volume of measuring cells. The use of short columns and their low packing (1.7 µm) significantly shortened the analysis time. Small column packing forced the use of high pressures (about 1200 bar), and heating the column lowers the viscosity of the solutions, thus increasing the sample flow rate through the system. These changes make it possible to obtain very fast measurement cycle times while maximizing efficiency, which results in a reduction of the dead volume and a shorter stabilization time of the system [5]. The reduction in time reduced analysis costs through more efficient use of the equipment and reduced solvent consumption. At the same time, the increased efficiency of the system allows more information to be obtained than in HPLC.
In theory, the transition from classic to modern UPLC systems should be quick and easy. However, some problems do arise, and training is needed to avoid mistakes, such as those related to other software or with the selection of the appropriate columns. Currently, practically every manufacturer of chromatographic equipment offers equipment capable of working with the pressure required by columns with grains with a diameter of less than 2 µm. Initially, only C18 columns were available, while today, almost all modifications to silica are offered, i.e., C8, phenyl, HILIC, silica, amide, fluoro-phenyl, and phenyl-hexyl. The development was initiated by BEH technology (Ethylene Bridged Hybrid, columns with silica packing reinforced with ethylene bridges), thanks to which the columns are able to operate at a pressure of 15,000 psi (approx. 1000 bar). Another version is High-Strength Silica (HSS) fillings, which are useful in the determination of polar analytes. Unfortunately, they show lower resistance to high pH but, at the same time, higher retention. The latest type of filling is CSH (Charged Surface Hybrid). These are modifications of the BEH columns by giving the surface of the additional charge. Thanks to this procedure, columns filled with these beds (C18, fluoro-phenyl, and phenyl-hexyl) have a wide range of selectivity and make it possible to analyze alkaline compounds tested in acidic phases with low ionic strength (e.g., 0.1% formic acid).
In addition to speed, it is important to increase the resolution. Sample complexity is a huge problem when working with multi-component drug products or molecules with multiple chiral centers. The key to success in such cases is new methods, i.e., apparatus conditions that allow for quick changes of columns or mobile phases. In this case, the use of smaller columns with quick system balancing and the possibility of simultaneous measurement of several quality parameters is an important advantage of UPLC.
The introduction of the UPLC technique created new possibilities for analytical separation without reducing the quality of the obtained results. Many experts have argued that UPLC will replace conventional HPLC techniques. Unfortunately, one of the major disadvantages of UPLC is the financial factor. These expensive devices are not available in all laboratories, and not every researcher will be able to reproduce a given method in his laboratory. Another problem is column padding. When transferring a method from HPLC to UPLC, it is advisable to use the same type of packing. Unfortunately, many existing HPLC fillings are not available in the UPLC version. Moreover, UPLC operates at very high pressures, and the lifetime of the used columns is shortened. Another problem is some aggressive, non-polar solvents that are incompatible with these devices, making it impossible, for example, to separate inorganic ions and polysaccharides.
A very important element of an efficient UPLC system is the selection of the detector. Depending on its type, the sensitivity of the method may increase two to three times in relation to HPLC [6]. Optical detectors based on absorbance, tunable UV/visible detectors, fluorimetric and mass spectroscopy (MS) detectors, etc. are generally used with HPLC. The features of UPLC (i.e., speed, resolution, and sensitivity) make it best suited for use with a mass spectrometer. For MS analyses, source ionization is more efficient with UPLC due to increased peak concentrations with reduced chromatographic dispersion at lower flow rates [7]. The profitability of using the UPLC–MS apparatus makes it a practical tool in the laboratory. This applies in particular to the possibility of working at low flows (on columns with a diameter of 1.0 mm) and the possibility of avoiding flux split, which is a very good tool for qualitative and quantitative characterization of complex mixtures using the resolving power of chromatography and the ability of mass spectrometry to identify separated compounds.
The main fields of application of UPLC are chemistry, pharmacy, foodstuffs, biochemistry, and the chemistry of compounds used in the heavy metal industry [8,9,10,11,12]. The UPLC systems are also important tools in research and production. For example, they are used to detect the presence of performance-enhancing drugs in samples provided by athletes [13] to check the purity of manufactured drugs [14] or in the food industry to determine the concentration of important ingredients (e.g., vitamins in juices) [15]. These methods can be used to assess the number of ingredients present in a sample as well as to determine purity in the process of ensuring the quality control of test compounds [16]. For example, many dishonest spice producers use Sudan as a red dye to improve the aesthetic value of their products. The existing UPLC method for identifying this dye in food products can give a quick and truthful answer [17]. UPLC is also used to separate and identify amino acids, nucleic acids, proteins, hydrocarbons, pesticides, carbohydrates, antibiotics, steroids, and many other compounds [18]. UPLC apparatuses also prove themselves during the determination of additives used in electroplating [19] and the analysis of explosives [20]. In the field of ecology, the UPLC–MS method is known to determine the level of pesticides in groundwater [21] as well as to analyze wastewater in terms of the content of medicinal substances [22].
The UPLC method finds more and more applications in the field of drug substance analysis, especially drug identification. Many researchers attempt to modify and transfer the assay conditions from the commonly used HPLC method to the UPLC method [23]. When analyzing the available publications, it can be noticed that UPLC systems are starting to displace standard HPLC systems, especially in the pharmaceutical industry [24]. Thanks to the increased resolution, new analytical procedures are refined, in many cases based on existing methods, eliminating the need for re-analysis.
Our goal was to collect the latest applications of the UPLC analytical method in drug quality analysis that appeared after 2000. We focused on drugs commonly used in medicine that belong to various pharmacological groups. Rational prescribing based on clinical pharmacology is essential if the right drug is to be administered to the right patient at the right time. This requires, inter alia, specific knowledge about the drugs used, especially their quality, which is directly related to the safety of use. This manuscript shows that the UPLC technique is now an increasingly used tool for assessing the quality of drugs and determining the identity and content of active substances. It also allows the monitoring of substances and finished products during their processing and storage. The collected information is a summary of the available analytical procedures using the UPLC technique in the analysis of biologically active compounds belonging to various therapeutic groups in pharmaceutical preparations.

2. Conditions for UPLC Analysis of Medicinal Substances

2.1. Cardiovascular Drugs

Cardiovascular drugs are substances used in diseases related to the structure and function of the heart and blood vessels, such as arrhythmias, blood clots, coronary artery disease, high or low blood pressure, high cholesterol, heart failure, stroke, circulatory disorders, and others. These include a large number of prescription drugs, and the type of cardiovascular disease the patient has will determine which drug to use [25,26,27,28]. Some examples of drugs most commonly used in cardiovascular medicine include anticoagulants (e.g., heparin, warfarin, etc.), antiplatelet drugs (e.g., clopidogrel and lopidogrel), angiotensin converting enzyme (ACE) inhibitors (e.g., captopril and enalapril), angiotensin receptor blockers (ARBs and sartan) such as candesartan or valsartan, beta-blockers (e.g., bisoprolol and sotalol), calcium channel blockers (e.g., amlodipine and diltiazem), diuretics (e.g., chlorothiazide and furosemide), vasodilators such as isosorbide and hydralazine, digoxin used to treat arrhythmias to slow the heart rate, and other drugs used to regulate abnormal heart rhythms that include, but are not limited to, quinidine, lidocaine, amiodarone, and adenosine. Table 1 presents details of the analysis of drugs from this therapeutic group for which the UPLC technique was used.

2.2. Nonsteroidal Anti-Inflammatory Drugs (NSAIDs)

NSAIDs are widely used around the world due to their wide availability and range of effects. They are usually given to control pain, fever, and inflammation. They are often used to relieve the symptoms of headaches, toothaches, painful periods, sprains, colds and flu, arthritis, and other causes of long-term pain [65,66,67,68]. There are many different NSAIDs available, but they all work in the same way by blocking cyclooxygenase (COX) enzymes, which are responsible for the production of prostaglandins, a group of compounds that control many different processes in the body. NSAIDs are a group of compounds with heterogeneous chemical structures and applications. However, they all have at least three things in common: identical pharmacological properties, the same basic mechanism of action, and similar side effects. According to chemical structure, NSAIDs can be classified into salicylates (e.g., acetylsalicylic acid), indole acetic acid derivatives (e.g., indomethacin), phenylacetic acid derivatives (e.g., diclofenac), phenylpropionic acid derivatives (e.g., naproxen), fenamic acid derivatives (e.g., mefenamic acid), enolic acid derivatives (e.g., piroxicam), and others. Another classification (important for clinicians) based on the ability to inhibit COX distinguishes non-selective COX-1 inhibitors (e.g., ibuprofen, diclofenac, naproxen, and indomethacin), selective COX-1 inhibitors (such as acetylsalicylic acid at cardiac doses), selective COX-2 inhibitors (coxibs), and preferential COX-2 inhibitors (e.g., meloxicam, nimesulide). All NSAIDs are usually used to treat pain, fever, and inflammation. Ibuprofen, nabumetone, coxibs, and diclofenac are most commonly used in rheumatology, indomethacin in neonatology, celecoxib for familial adenomatous polyposis, and ketorolac for acute pain that usually requires narcotics. Aspirin is a unique NSAID, not only because of its many uses but because it is the only NSAID that inhibits the clotting of blood for a prolonged period of time. The parameters of the UPLC method used to analyze these drugs are summarized in Table 2.

2.3. Antibiotics

Antibiotics are one of the most commonly used drug classes to treat bacterial infections. They work by destroying or slowing down the growth of bacteria [95,96,97,98]. A class of antibiotics is a group of different drug substances with similar chemical and pharmacological properties. Their chemical structures may look similar, and drugs of the same class may kill the same or related bacteria. The main classes of antibiotics are penicillins, including five classes, such as aminopenicillins, pseudomone penicillins, beta-lactamase inhibitors, natural penicillins, and penicillinase-resistant penicillins (e.g., amoxicillin, ampicillin, etc.); tetracyclines with a broad spectrum of activity against many bacteria (among others such as doxycycline and tetracycline); cephalosporins (e.g., cefaclor and ceftriaxone); quinolones (fluoroquinolones; e.g., ciprofloxacin and moxifloxacin); lincomycins (e.g., clindamycin and lincomycin); macrolides used as an alternative for people allergic to penicillin (e.g., clarithromycin and erythromycin); sulfonamidessuch as sulfamethoxazole and trimethoprim; glycopeptides used to treat methicillin-resistant Staphylococcus aureus (MRSA) (e.g., dalbavancin and vancomycin); aminoglycosides (among others such as gentamicin and tobramycin); and carbapenems often used as “last-line” measures to prevent resistance (e.g., imipenem and ertapenem). Details on the conditions for the analysis of antibiotics by the UPLC method are presented in Table 2.

2.4. Antifungal and Anthelmintic Drugs

Most antifungal drugs interfere with the biosynthesis or integrity of ergosterol, the major sterol in the fungal cell membrane. Others disrupt the fungal cell wall. Based on their mechanism of action, they can be classified into five classes: polyenes, azoles, allylamines, echinocandin, and other agents (including griseofulvin and flucytosine) [99,100,101].
Polyene antifungal drugs interact with sterols in the cell membrane (for example, amphotericin B, nystatin, or pimaricin). Azoles are the most widely used antifungal drugs and act mainly by inhibiting 14α-demethylase, the fungus cytochrome P450 enzyme. There are two groups in clinical use: imidazoles (ketoconazole, miconazole, and clotrimazole) and triazoles (fluconazole, itraconazole, and voriconazole). Newer antifungal drugs include the echinocandin class (e.g., caspofungin) and second generation triazoles (e.g., voriconazole and posaconazole). Allylamines (naphtifine and terbinafine) inhibit ergosterol biosynthesis at the level of squalene epoxidase. The drug morpholine, amorolfine, inhibits the same pathway at a later stage. Griseofulvin is an antifungal antibiotic produced by Penicillium griseofulvum, active in vitro against most dermatophytes. Anthelmintics are a type of medicine used to treat helminth infections in animals. The main drugs used in the treatment of tapeworm infections are albendazole and praziquantel. Other drugs in this group include quinacrine, diethylcarbamazine, mebendazole, or phenothiazine. An antibiotic, hygromycin, is also used as an anthelmintic agent in the form of a livestock feed additive.
Miconazole (as a substance) was determined using the column Thermo Scientific Hypersil Gold C18 (50 × 4.6 mm, 1.9 µm) as the stationary phase, and isocratic elution of the mobile phase, containing solvents acetonitrile, methanol, and ammonium acetate (30:32:38, v/v). The separation was carried out with a flow rate of 2.5 mL/min, and spectrophotometric detection was carried out at a wavelength of 235 nm [102]. Dongre et al. compared the condition of UPLC assays with the HPLC technique based on the determination of the primaquine substance. Analysis was carried out with a BAH C18 (50 × 2.1 mm, 1.7 µm) column, and a mixture of 0.01% aqueous trifluroacetic acid and acetonitrile (75:25, v/v) as a mobile phase, with a flow rate of 0.5 mL/min. Detection was in the UV range at 265 nm [103]. The mixture of the nine active substances (flubendazole, pipamperone, cinnarizine, ketoconazole, miconazole, rabeprazole, itraconazole, domperidone, and propiconazole) was analyzed in surface waters using HSS T3 (100 × 2.1 mm, 1.8 μm) column, and gradient elution of the mobile phase (A-water:acetonitrile (95:5, v/v); B-water:acetonitrile (5:95, v/v)) with a flow rate of 0.5 mL/min. Gradient conditions were as follows: 0–4.38 min, linear from 20 to 100% B; 4.38–6.46 min, isocratic 100% B; 6.46–6.67 min, linear from 100 to 20% B; 6.67–9.59 min, isocratic 20% B. The authors noted the matrix effect seen during HPLC analyzes. In the case of the UPLC technique with MS detection, using the internal standard, the matrix effect does not occur, which greatly simplifies the procedure. They wanted to limit the matrix effect in quantitative UPLC–MS determinations which is very evident in HPLC [104]. Whereas secnidazole, fluconazole, and azithromycin (in the form of tablets) were determined using a BEH-Shield RP18 (100 × 2.1 mm, 1.7 µm) column. The mobile phase containing a phosphate buffer (A) and acetonitrile (B) with linear gradient eluent program (time [min]/%B: 0/5, 1.5/5, 3/30, 5/90, 8/90, 9/5, 10/5) was used with a flow rate of 0.3 mL/min and UV detection at 210 nm. The authors also analyzed the drug degradation process, finding the degradation in an alkaline environment [105]. Elkady et al. developed a method for the determination of tinidazole and hydrocortisone in substances, vaginal tablets, and cream. The separation of components was carried out on an Acquity Eclipse plus C18 (100 × 2.1 mm, 1.7 µm) column using a mobile phase with the following composition: 0.02 M anhydrous KH2PO4 (with 0.2% triethylamine) pH6 with orthophosphoric acid (A) and acetonitrile (B) and flow rate 0.3 mL/min. The eluent gradient program was as follows: 0/50, 2/70, 5.6/70, 5.7/50, 7/50 (time [min]/%B). The established conditions and spectrophotometric detection in UV at a wavelength of 220 nm also allowed for the analysis of impurities present in the tested material [106]. Clotrimazole in substance and human plasma was analyzed on an Acquity BEH C-18 (50 × 2.1 mm, 1.7 µm) column and a mixture of water with 0.2% ammonium acetate and 0.1% formic acid (A) and methanol (B) in a volume ratio 18:82 (A:B). The flow rate of the eluent was 0.1 and 0.7 mL/min, and MS-MS detection was performed [107].

2.5. Antipsychotics, Antidepressants, and Drugs Used in Diseases of the Nervous System

Neuropsychiatric symptoms are often associated with cognitive decline. Antipsychotics are a type of medication that is available with a prescription to treat certain types of mental health problems, such as schizophrenia, schizoaffective disorder, certain forms of bipolar disorder, depression, psychotic symptoms of personality disorder, and Alzheimer’s disease. Some antipsychotics are also used to treat other health problems, including physical problems (e.g., persistent hiccups, problems with balance, and nausea), agitation, and psychotic experiences in dementia. Antipsychotic drugs can help calm and control symptoms but do not treat the underlying disease [108,109,110,111]. When overused for a long period of time, they can have serious side effects. They are divided into two main groups: typical (first-generation) and atypical (second-generation). The main difference between them is that atypical drugs block dopamine, and typical drugs block dopamine and affect serotonin levels. Atypical antipsychotics, usually the drugs of first choice for the treatment of schizophrenia, include risperidone, quetiapine, ziprasidone, aripiprazole, and clozapine. Typical antipsychotics are older-generation substances such as chlorpromazine, flupentixol, haloperidol, or loxapine.
Antidepressants help reduce the symptoms of depressive disorders by changing the chemical balance of neurotransmitters in the brain [112,113,114]. The change in mood and behavior is due to a chemical imbalance. Neurotransmitters (i.e., serotonin, dopamine, and norepinephrine) are the link between neurons. Antidepressants inhibit the reuptake of neurotransmitters by selective receptors, thus increasing the concentration of a specific neurotransmitter around the nerves. They are used not only in the treatment of depression but also nervousness, diabetic peripheral neuropathic pain, post-traumatic stress disorder, etc. Antidepressant drugs can be divided into five groups: tricyclic antidepressants (TCAs), selective serotonin reuptake inhibitors (SSRIs), monoamine oxidase inhibitors (MAOIs), serotonin norepinephrine reuptake inhibitors (SNRIs), and norepinephrine and specific serotonergic antidepressants (NASSA). They include bupropion, clomipramine, amitriptyline, fluoxetine, doxepin, desipramine, and moclobemide.
The nervous system is a complex system that coordinates the activities of the entire body. Clinical neuroscience is the part of medicine that focuses on the nervous system (central and peripheral) [115,116,117]. This system can be affected by many different conditions, for example, benign and malignant neoplasms, degenerative diseases (e.g., Alzheimer’s and Parkinson’s disease) or pituitary disorders, epilepsy, and demyelinating diseases (e.g., multiple sclerosis). Currently available treatments for many diseases of the nervous system focus primarily on relieving symptoms. The symptoms of Parkinson’s disease are often treated with co-beneldopa, co-kareldopa, or ropinirole. Alzheimer’s disease progression can be slowed down by donepezil or memantine. Seizures can be controlled with anticonvulsants such as carbamazepine or levetiracetam. The conditions of UPLC analysis of drugs from the above-mentioned groups are summarized in Table 3.

2.6. Antiviral Drugs

Antiviral drugs are substances that enter cells infected with a virus. They work by inhibiting the attachment of the virus, preventing genetic copying of the virus and the production of viral proteins necessary for its reproduction [133,134,135]. Viral infections are one of the most common human ailments (causing e.g., colds, flu, warts, etc.); they can also cause infectious diseases, such as HIV/AIDS, Ebola, or COVID-19. Due to the main difference in how a virus replicates in the host cell, there are different classes of antivirals (generally divided into 13 groups). They have been formally approved for the treatment of human infectious diseases such as HIV infection, hepatitis B virus (HBV), HCV, herpes virus, influenza virus, human cytomegalovirus, varicella zoster virus, respiratory syncytial virus, and human papillomavirus. Some examples are acyclovir, zanamivir, and amantadine.
The acyclovir in the cream samples was determined using a Syncronis C18 (100 × 3.0 mm, 1.7 µm) column and a mobile phase with a composition A-0.1 M ammonium acetate buffer and B-acetonitrile, tetrahydrofuran, and water (90:4:6, v/v/v); gradient elution: (time [min]/%B] set as 0/3, 1.4/3, 2.8/60, 4/60, 4.5/3, 5/3); and a flow rate of 0.5 mL/min. Spectrophotometric detection was performed at a wavelength of 250 nm. It has been proven to be a good method to separate the active ingredient from impurities and cream ingredients [136]. Vukkum et al. developed a new procedure for the determination of abacavir using the BEH C8 (50 × 2.1 mm, 1.7 µm) column as a stationary phase and a mixture of solvents: A-0.10% o-phosphoric acid in water and B-0.10% o-phosphoric acid in methanol. The mobile phase gradient was used (time [min]T/%B): 0/8, 5/40, 6/40, 6.01/8. The flow rate was 0.4 mL/min, and detection was carried out in the UV range at a wavelength of 220 nm (for the assay of active substance) and with the use of mass spectrometry (for the analysis of impurities) [137]. Another research team performed a determination of five drugs, such as dolutegravir, elvitegravir, raltegravir, nevirapine, and etravirine. The analyzes were carried out with the use of a BEH C18 (50 × 2.1 mm, 1.7 µm) column and a gradient elution (time [min]/%A;B;C: 0/80;20;0, 5/10;90;0, 5.1/10;0;90, 5.9/10;0;90, 6.0/80;20;0, 10.0/80;20;0) of the mobile phase with the following composition: A-0.1% formic acid in water, B-0.1% formic acid in acetonitrile, C-1% formic acid in acetonitrile, with a flow rate of 0.475 mL/min. Eluted components were detected and analyzed using mass spectroscopy [138]. Velpatasvir and sofosbuvir in the form of tablets and substances were analyzed by the UPLC technique using a BEH C18 (150 × 2.1 mm, 1.7 μm) column and a mobile phase containing diammonium phosphate buffer pH6:acetonitrile (40:60, v/v). The flow rate was 0.1 mL/min and spectrophotometric detection was set at 280 nm [139]. Another research team performed drug (lamivudine, zidovudine, nevirapine) determination in tablets and substances. The analyzes were carried out with the use of an RP C-18 (100 × 2.1 mm, 1.8 μm) column and isocratic elution of the mobile phase: methanol-phosphate buffer pH5 (70:30, v/v) with a flow rate of 1.0 mL/min. Components were detected spectrophotometrically at 260 nm [140].

2.7. Antihistamine Drugs

Histamine is a substance that plays an important role in many different body processes, including stimulation of the secretion of gastric acid, dilation of blood vessels, contraction of muscles in the intestines and lungs, and transmission of messages between nerve cells. It is also released if the body encounters an allergen threat. Then it causes the blood vessels to widen, leading to allergy symptoms. Its molecule is an endogenous ligand of histamine receptors, G protein-coupled receptors (GPCR), H1 to H4 [141,142,143]. Drugs that block the action of histamine, called antihistamines, are generally used to treat histamine-mediated allergic conditions but also anorexia, headaches, anaphylaxis, vertigo, Parkinson’s disease (to decrease stiffness and tremors), and some types of bone pain. They are divided into two main groups: the first generation—crossing the blood–brain barrier (e.g., clemastine, and hydroxyzine) and the second generation—not penetrate the blood–brain barrier (e.g., loratadine, cetirizine, and ranitidine). The main metabolite of loratadine, desloratadine, is pharmacologically more potent than the parent compound. It does not easily penetrate the central nervous system readily and therefore has minimal sedative effects.
Desloratadine in the form of a substance and syrup was determined using a BEH C8 (100 × 2.1 mm, 1.7 µm) column and a mobile phase with the composition: A-phosphate buffer, B-acetonitrile:methanol:water (50:25:25, v/v/v) (gradient elution, time [min]/%B: 0.0/27, 4.5/32.4, 5.2/80, 5.4/80, 5.5/27, 7.0/27) with a flow rate of 0.4 mL/min. Detections were performed under UV at a wavelength of 272 nm [144]. Rao et al. also conducted studies with desloratadine in the form of tablets. They used a BEH C18 column (50 × 2.1 mm, 1.7 µm) as the mobile phase and a mixture of the following composition as the eluent: A-phosphate buffer:methanol:acetonitrile (80:15:5, v/v/v) and B-phosphate buffer:tetrahydrofuran:acetonitrile (30:5:70, v/v/v). The mobile phase flow gradient was set to 0.0/0, 1.5/0, 5.5/80, 6.5/80, 7.0/0, 8.0/0 (time [min]/%B). The flow rate was 0.6 mL/min, and the UV detection (at 280 nm) allowed the determination of the active substance content and analysis of the process of its degradation [145]. Dimetindene (as a substance) was analyzed using a BEH C18 (50 × 2.1 mm, 1.7 µm) column and gradient elution (time [min]/%B): 0.0–5.0/95–5, where: A-acetonitrile and B-formic acid. The flow rate was 0.3 mL/mi, and the detection was by mass spectrometry. The conducted research allowed for the analysis of the degradation process of the active substance [146]. Schmidt et al. determined the ebastine content in the tablets using a BEH C18 column (50 × 2.1 mm, 1.7 µm) and a mixture of A-10 mM acetate buffer and B-acetonitrile:2-propanol (1:1, v/v) as the mobile phase. The elution rate of 0.5 mL/min was carried out with the gradient: 0.0–3.0/30–90 (time [min]/%B) and the UV detection at λ = 210 nm [147]. The mixture of ambroxol and cetyrizine in the form of a tablet and oral solution was analyzed on an Agilent Eclipse plus C18 column (50 × 2.1 mm, 1.8 μm) with a mixture of solutions 0.01 M phosphate buffer (A) and 0.1% trimethylamine in acetonitrile (B). The gradient elution was carried out according to the program (time [min]/%B): 0.0/30, 0.2/30, 3.0/95, 3.1/30, 3.5/30. The flow rate was 0.5 mL/min. Spectrophotometric detection in UV at a wavelength of 237 nm allowed for the quantitative analysis of the active substance [148]. Chambers et al. presented the analytical procedure for the determination of ibuprofen, pseudoephedrine, and chlorpheniramine in tablets. They used an Acquity BEH C18 (50 × 2.1 mm, 1.7 µm) column as a stationary phase and a mixture of A (0.1% triethylamine buffer pH3.2 with phosphoric acid and acetonitrile (80:20, v/v)) and B (0.1% triethylamine buffer pH3.2 with phosphoric acid and acetonitrile (50:50, v/v)) as the eluent. Gradient conditions were as follows: 1/5, 2/5–80, 1/80 (time [min]/%B). The determined value of the flow rate was 0.4 mL/min and UV detection was at 220 nm. The developed conditions made it possible to carry out a degradation study of the active substance [70].

2.8. Other Drugs

In the group of active substances presented in this subchapter, there are active substances from different therapeutic groups [65,96]. A large group consists of compounds influencing the hormonal balance, used both in hormone replacement therapy, e.g., gestodene, estradiol, and in anti-cancer treatment (e.g., abiraterone, finasteride). Another part consists of substances used in the treatment of hyperglycemia (sitagliptin and metformin) and anticancer drugs, both classic cytotoxic drugs (topotecan) and targeted drugs (imatinib). Preparations used in lung diseases constitute a large group of drugs that were not considered before. These include inhaled β2 mimetics (salbutamol and fenoterol) as well as other asthma medications, e.g., montelukast. In addition to those mentioned, there are also such drugs as lansoprazole and omeprazole, used in the treatment of peptic ulcer disease; tramadol, a strong pain reliever from the opioid group; and tolterodine and darifenacin, used mainly in the treatment of urinary incontinence. The parameters of the UPLC analysis used to research these drugs are presented in Table 4.

2.9. Summary

It can be seen that the UPLC technique is now an increasingly used tool in the analysis of drugs. It allows the identification of various chemical components and the determination of their content, which translates into a wide range of applications in scientific research and production. This article provides a general overview of medically important drugs and their analysis by UPLC. The above UPLC applications in the analysis of pharmaceutical substances focused on compounds with biological activity belonging to various pharmacological groups commonly used in medicine. This work focuses on the characteristics of the systems used in the analysis of active substances in drugs, also in the presence of other co-existing ingredients.
UPLC methods are used to separate mixtures and identify many chemical compounds (in addition to those listed above, also amino acids, nucleic acids, proteins, steroids, etc.) [183], check the purity of manufactured drugs to ensure product quality [73], monitor the kinetics of chemical reactions (including the synthesis of new structures of potential therapeutic importance) [184], study physicochemical properties, i.e., lipophilicity (alongside the commonly used TLC method) [185,186], perform isomer analysis [187], or complete stability tests in changing environmental conditions [188]. Maximized pressure, minimal lag, and fast injections enable very fast cycle times while maximizing peak yields. For example, when assaying a combination tablet containing diclofenac, paracetamol, and camylofin, the UPLC analysis time was shown to be four times shorter compared to HPLC, and solvent consumption was approximately sixteen times lower [83]. The results of HPLC and UPLC analyses for piracetam were also compared, recording 10 times lower LOD and LOQ values for the same assay in favor of UPLC and a six-times shorter analysis time in isocratic mode [128]. By using UPLC instead of HPLC for the determination of erythropoietin, the total analysis time was reduced from 20 to 4 min while obtaining a greater range of linearity of the method [168]. Precisely because of the speed, resolution, and sensitivity of the apparatus, UPLC methods are very well suited for use with a mass spectrometer, which increases the possibilities of this technique and makes it a practical and reliable tool for more laboratories, allowing for precise solvent administration, perfect reproducibility, and minimal sample transfer.
With the growing need for accurate measurements to support drug discovery and further development, the demand for selective and sensitive chromatographic methods has significantly increased. Although quantification by HPLC has many advantages, these analyses pose many challenges for technical development related to the insufficient recovery of components after extraction (new requirements for sample preparation). The features of the UPLC technique, i.e., increased analytical sensitivity, linear dynamic range, or high repeatability, enable the measurement of low concentrations of ingredients, demonstrating its suitability for the purposes of discovering new drugs and quality control of raw materials and products as well as clinical trials.
The main advantages of UPLC (i.e., shortening the analysis time and reducing the volume of the mobile phase) indicate a great development possibilities of this technique. Compared to HPLC-based methods, UPLC, thanks to better chromatographic resolution (ensures the elimination of the potential influence of a complicated matrix), increased sensitivity, and shorter analysis times, reduces the cost and increases the efficiency of the analysis required to develop and validate the method. The list of developed protocols is a contribution to the existing trend and limitations in this area of research. According to the assumptions of ‘green chemistry’, better and better solutions for drug analysis should be sought, e.g., by searching for less toxic solvents (characterized by high viscosity, high thermal stability, and low vapor pressure). Problems may include high pressure or insufficient quality of solvents. To avoid these complications, particular attention must be paid to the temperatures of the dispenser, filters, and pumps or rotating loops, etc. It is especially important to regularly clean the entire system.
Future trends in drug analysis aim at minimizing both the size of chromatographic columns and their fillings, increasing the resolution and sensitivity of detection as well as minimizing the time and cost of these tests. Transferring the conditions from HPLC to UPLC is not difficult, but there are a few issues to consider, generally related to instrumentation requirements (to achieve higher pressures and maintain accuracy and precision at lower flow rates, higher capacity pumps and components are required). Moreover, such a procedure requires time and resources to optimize. Our work is intended to be a source of such information about the already adapted methodology of assays. This knowledge can complement the drug information database and storage guidelines, increasing the number of tools for quality control and safer treatments.

3. Conclusions

As we can see, the UPLC technique is already an established and rapidly developing field with many possible applications in the analysis of pharmaceutical substances. The use of the UPLC technique for the analysis of medicinal substances in various pharmaceutical products presented in this manuscript indicates the great importance of this technique in the analysis of drugs while also showing the problems that can occur when adapting the method conditions from the HPLC system to the UPLC. This topic may turn out to be even more important when analyzing medicinal substances in a more complex matrix, i.e., biological material. The presented conditions of analytical procedures using the UPLC technique confirm its advantages, such as high resolution, sensitivity, and shorter analysis time. Thus, transferring the legacy conditions of the HPLC method to the UPLC may be a beneficial process. The presented data show that UPLC can become a basic tool of an analyst’s work to improve the quality of pharmaceutical analysis and research capabilities. As you know, the more information we have about a given active substance (its quality, stability, interaction with other substances, etc.), the effectiveness of the therapy in which a drug containing this substance is used will be more effective.

Author Contributions

Conceptualization, M.S. and P.G.; methodology, P.G. and J.Ż.; validation, M.D. and M.S.; investigation, P.G. and J.Ż.; writing—original draft preparation, P.G. and M.S.; writing—review and editing, M.S. and M.D.; visualization, M.S.; supervision, M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. MacNair, J.E.; Lewis, K.C.; Jorgenson, J.W. Ultrahigh-pressure reversed-phase liquid chromatography in packe capillary columns. Anal. Chem. 1997, 69, 983–989. [Google Scholar] [CrossRef]
  2. Chawla, G.; Ranjan, C. Principle, instrumentation and applications of UPLC: A novel technique of liquid chromatography. Open Chem. J. 2016, 3, 1–16. [Google Scholar] [CrossRef]
  3. Chesnut, S.M.; Salisbury, J.J. The role of UHPLC in pharmaceutical development. J. Sep. Sci. 2007, 30, 1183–1190. [Google Scholar] [CrossRef] [PubMed]
  4. Yang, Y.; Hodges, C.C. Assay transfer from HPLC to UPLC for higher analysis throughput. Waters Sep. Sci. Redef. 2005, 5, 31–35. [Google Scholar]
  5. Szulfar, J. Transfer metod HPLC do UHPLC. Laborant 2010, 1, 8–14. [Google Scholar]
  6. Patil, V.P.; Tathe, R.D.; Devdhe, S.J.; Angadi, S.S.; Kale, S.H. Ultra performance liquid chromatography: A review. Int. Res. J. Pharm. 2011, 2, 39–44. [Google Scholar]
  7. Plumb, R.S.; Castro-Perez, J.; Granger, J.H.; Beattie, I.; Joncour, K.; Wright, A. Ultra-performance liquid chromatography coupled to quadrupole-orthogonal time-of-flight mass spectrometry. Rapid Commun. Mass Spectrom. 2004, 18, 2331–2337. [Google Scholar] [CrossRef]
  8. Zhang, H.; Li, Q.; Qiao, G.; Qiu, Z.; Wen, Z.; Wen, X. Optimizing the supercritical carbon dioxide extraction of sweet cherry (Prunus avium L.) leaves and UPLC-MS/MS analysis. Anal. Methods 2020, 12, 3004–3013. [Google Scholar] [CrossRef] [PubMed]
  9. Huang, R.; Cathey, S.; Pollard, L.; Wood, T. UPLC-MS/MS analysis of urinary free oligosaccharides for lysosomal storage diseases: Diagnosis and potential treatment monitoring. Clin. Chem. 2018, 64, 1772–1779. [Google Scholar] [CrossRef] [PubMed]
  10. Chen, L.; Weng, Q.; Ma, J. A new UPLC-MS/MS method validated for quantification of jervine in rat plasma and the study of its pharmacokinetics in rats. J. Anal. Meth. Chem. 2019, 2019, 5163625. [Google Scholar] [CrossRef] [Green Version]
  11. Yang, N.; Wang, H.; Lin, H.; Liu, J.; Zhou, B.; Chen, X.; Wang, C.; Liu, J.; Li, P. Comprehensive metabolomics analysis based on UPLC-Q/TOF-MSE and the anti-COPD effect of different parts of Celastrus orbiculatus Thunb. RSC Adv. 2020, 10, 8396–8420. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Rathod, R.H.; Chaudhari, S.R.; Patil, A.S.; Shirkhedkar, A.A. Ultra-high performance liquid chromatography-MS/MS (UHPLC-MS/MS) in practice: Analysis of drugs and pharmaceutical formulations. Future J. Pharm. Sci. 2019, 5, 6. [Google Scholar] [CrossRef] [Green Version]
  13. Wang, Z.; Lu, J.; Zhang, Y.; Tian, Y.; Yuan, H.; Xu, Y. Applications and challenges in using LC-MS/MS assays for quantitative doping analysis. Bioanalysis 2016, 8, 1307–1322. [Google Scholar] [CrossRef]
  14. Kumar, A.; Saini, G.; Nair, A.; Sharma, R. UPLC: A preeminent technique in pharmaceutical analysis. Acta Pol. Pharm. 2012, 69, 371–380. [Google Scholar]
  15. Pullancheri, D.; Vaidyanathan, G.; Gayathree, N. Qualitative and Quantitative Analyses of Water Soluble Vitamins and Flavonoids in Pomegranate Aril Juice, Skin, and Commercially Available Fruit Juice Using the ACQUITY UPLC H-Class with PDA Detector. WATERS Application Note, APNT134731961. 2013. Available online: https://gimitec.com/file/720004644en.pdf (accessed on 16 October 2022).
  16. Rab, R.A.; Zahiruddin, S.; Ibrahim, M.; Husain, F.; Parveen, R.; Khan, W.; Ahmad, F.J.; Khan, A.A.; Ahmad, S. HPTLC and UPLC-MS/MS methods for quality control analysis of itrifal formulations of unani system of medicine. J. AOAC Int. 2020, 103, 649–658. [Google Scholar] [CrossRef] [PubMed]
  17. Li, C.; Wu, Y.L.; Shen, J.Z. UPLC-ESI-MS/MS analysis of Sudan dyes and Para Red in food. Food Addit. Contam. 2010, 27, 1215–1220. [Google Scholar] [CrossRef]
  18. Chu, Y.; Tong, Z.; Dong, X.; Sun, M.N.; Gao, T.C.; Duan, J.S.; Wang, M. Simultaneous determination of 98 pesticide residues in strawberries using UPLC-MS/MS and GC-MS/MS. Microchem. J. 2020, 156, 104975. [Google Scholar] [CrossRef]
  19. Perkola, N.; Sainio, P. Survey of perfluorinated alkyl acids in finnish effluents, storm water, landfill leachate and sludge. Environ. Sci. Pollut. Res. 2013, 20, 7979–7987. [Google Scholar] [CrossRef] [PubMed]
  20. Oehrle, S.A. Analysis of explosives using ultra performance liquid chromatography (UPLC®) with UV and/or mass spectrometry detection. J. Energy Mater. 2008, 26, 197–206. [Google Scholar] [CrossRef]
  21. Mezcua, M.; Agüera, A.; Lliberia, J.L.; Cortés, M.A.; Bagó, B. Application of ultra performance liquid chromatography–tandem mass spectrometry to the analysis of priority pesticides in groundwater. J. Chromatogr. A 2006, 1109, 222–227. [Google Scholar] [CrossRef]
  22. Yuan, S.; Wang, X.; Wang, R.; Luo, R.; Shi, Y.; Shen, B.; Liu, W.; Yu, Z.; Xiang, P. Simultaneous determination of 11 illicit drugs and metabolites in wastewater by UPLC-MS/MS. Water Sci. Technol. 2020, 82, 1771–1780. [Google Scholar] [CrossRef] [PubMed]
  23. Makwana, S.; Patil, V.B.; Patel, M.; Upadhyay, J.; Shah, A. A validated stability-indicating method for separation of prucalopride drug by HPLC: Method transfer to UPLC. Anal. Chem. Lett. 2021, 11, 580–595. [Google Scholar] [CrossRef]
  24. Gumustas, M.; Kurbanoglu, S.; Uslu, B.; Ozkan, S.A. UPLC versus HPLC on drug analysis: Advantageous, applications and their validation parameters. Chromatographia 2013, 76, 1365–1427. [Google Scholar] [CrossRef]
  25. Antman, E.M.; Arnold, J.M.O.; Friedman, P.L.; Smith, T.W. Pharmacokinetic drug interactions between digoxin and antiarrhythmic agents and calcium channel blocking agents: An appraisal of study methodology. Cardiovasc. Drugs Ther. 1987, 1, 183–189. [Google Scholar] [CrossRef]
  26. Ferroni, P.; Della-Morte, D.; Pileggi, A.; Valente, M.G.; Martini, F.; La Farina, F.; Palmirotta, R.; Meneghini, L.F.; Rundek, T.; Ricordi, C.; et al. Impact of statins on the coagulation status of type 2 diabetes patients evaluated by a novel thrombin-generation assay. Cardiovasc. Drugs Ther. 2012, 26, 301–309. [Google Scholar] [CrossRef] [PubMed]
  27. Kaila, T.; Iisalo, E.; Lehtonen, A.; Saarimaa, H. Extent of beta1- and beta2-receptor occupancy in plasma assesses the antagonist activity of metoprolol, pindolol, and propranolol in the elderly. Cardiovasc. Drugs Ther. 1993, 7, 839–849. [Google Scholar] [CrossRef]
  28. Procaccini, D.E.; Sawyer, J.E.; Watt, K.M. Pharmacology of cardiovascular drugs. In Critical Heart Disease in Infants and Children, 3rd ed.; Ungerleider, R.M., Nelson, K., Cooper, D., Meliones, J., Jacobs, J., Eds.; Elsevier: Amsterdam, The Netherlands, 2019; pp. 192–212. [Google Scholar]
  29. Antil, P.; Kaushik, D.; Jain, G.; Srinivas, K.S.; Thakur, I. UPLC method for simultaneous determination of valsartan & hydrochlorothiazide in drug products. J. Chromat. Sep. Tech. 2013, 4, 1000182. [Google Scholar]
  30. Codevilla, C.F.; Lange, A.D.C.; de Mello Andrade, J.M.; Segalin, J.; Fröehlich, P.E.; Bergold, A.M. Photodegradation kinetics of lodenafil carbonate, structure elucidation of two major degradation products using UPLC-MS/MS and in vitro cytotoxicity. Anal. Methods 2013, 5, 6511–6516. [Google Scholar] [CrossRef]
  31. Devu, S.; Gupta, A.; Srinivas, K.S.; Gupta, R.S.; Semwal, V.P. Development and validation of stability indicating RP-UPLC method for simultaneous determination in fixed dose combination of ezetimibe and simvastatin. J. Chromat. Sep. Tech. 2012, 3, 1000131. [Google Scholar] [CrossRef] [Green Version]
  32. Dendeni, M.; Cimetiere, N.; Amrane, A.; Ben Hamida, N. Impurity profiling of trandolapril under stress testing: Structure elucidation of by-products and development of degradation pathway. Int. J. Pharm. 2012, 438, 61–70. [Google Scholar] [CrossRef]
  33. Gomas, A.R.; Ram, P.R.; Srinivas, N.; Sriramulu, J. Degradation pathway for pitavastatin calcium by validated stability indicating UPLC method. Am. J. Anal. Chem. 2010, 2, 83–90. [Google Scholar] [CrossRef] [Green Version]
  34. Krishnaiah, C.; Reddy, A.R.; Kumar, R.; Mukkanti, K. Stability-indicating UPLC method for determination of valsartan and their degradation products in active pharmaceutical ingredient and pharmaceutical dosage forms. J. Pharm. Biomed. Anal. 2010, 53, 483–489. [Google Scholar] [CrossRef] [PubMed]
  35. Kasawar, G.B.; Farooqui, M.N. Simultaneous determination of amlodipine besylate and benazepril hydrochloride in pharmaceutical dosage form by LC. Anal. Sci. 2009, 25, 1495–1498. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Kumar, K.K.; Rao, C.K.; Lakshmi, M.V.; Mukkanti, K. A validated stability indicating RP-UPLC method for atrovastain calcium. Am. J. Anal. Chem. 2012, 3, 392–399. [Google Scholar] [CrossRef]
  37. Kumar, M.N.; Reddy, V.K.; Sharma, H.K.; Kaleemullah, T.; Reddy, T.C.S.; Reddy, G.T.; Sreenivas, N.; Sen, G. A simple and sensitive RP-UPLC method for the simultaneous determination of N-hydroxybenzotriazole, cinchonidine and 1,3-dicyclohexyl urea contents in fosinopril sodium drug substance. E J. Chem. 2012, 9, 2058–2067. [Google Scholar] [CrossRef]
  38. Kumar, K.K.; Rao, C.K.; Madhusudan, G.; Mukkanti, K. Rapid simultaneous determination of olmesartan, amlodipine and hydrochlorothiazide in combined pharmaceutical dosage form by stability-indicating ultra performance liquid chromatography. Am. J. Anal. Chem. 2012, 3, 50–58. [Google Scholar] [CrossRef] [Green Version]
  39. Kadav, A.A.; Vora, D.N. Stability indicating UPLC method for simultaneous determination of atorvastatin, fenofibrate and their degradation products in tablets. J. Pharm. Biomed. Anal. 2008, 48, 120–126. [Google Scholar] [CrossRef]
  40. Kurbanoglu, S.; San Miguel, P.R.; Uslu, B.; Ozkan, S.A. Stability-indicating UPLC method for the determination of bisoprolol fumarate and hydrochlorothiazide: Application to dosage forms and biological sample. Chromatographia 2014, 77, 365–371. [Google Scholar] [CrossRef]
  41. Mallikarjuna, S.; Ramalingam, P.; Sriram, P.; Garima, J.; Srinivas, S.K. Development and validation of stability-indicating RP-UPLC method for simultaneous estimation of amlodipine besylate and atorvastatin calcium in pharmaceutical dosage forms. J. Chromatogr. Sep. Tech. 2013, 4, 1000187. [Google Scholar]
  42. Nalwade, S.; Reddy, V.R.; Rao, D.D.; Rao, I.K. Rapid simultaneous determination of telmisartan, amlodipine besylate and hydrochlorothiazide in a combined poly pill dosage form by stability-indicating ultra performance liquid chromatography. Sci. Pharm. 2011, 79, 69–84. [Google Scholar] [CrossRef] [Green Version]
  43. Otašević, B.; Milovanović, S.; Zečević, M.; Golubović, J.; Protić, A. UPLC method for determination of moxonidine and its degradation products in active pharmaceutical ingredient and pharmaceutical dosage form. Chromatographia 2014, 77, 109–118. [Google Scholar] [CrossRef]
  44. Plumb, R.S.; Jones, M.D.; Rainville, P.D.; Nicholson, J.K. A rapid simple approach to screening pharmaceutical products using ultra-performance LC coupled to time-of-flight mass spectrometry and pattern recognition. J. Chromatogr. Sci. 2008, 46, 193–198. [Google Scholar] [CrossRef] [Green Version]
  45. Ram, V.; Kher, G.; Dubal, K.; Dodiya, B.; Joshi, H. Development and validation of a stability indicating UPLC method for determination of ticlopidine hydrochloride in its tablet formulation. Saudi Pharm. J. 2011, 19, 159–164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Sahu, K.; Sahu, S.; Shaharyar, M.; Siddiqui, A.A. Comparative study of forced degradation behavior of telmisartan by UPLC and HPLC and development of validated stability indicating assay method according to ICH guidelines. J. Chromatogr. Sep. Tech. 2012, 3, 1000129. [Google Scholar] [CrossRef] [Green Version]
  47. Seshadri, R.K.; Desai, M.M.; Raghavaraju, T.V.; Krishnan, D.; Rao, D.V.; Chakravarthy, I.E. Simultaneous quantitative determination of metoprolol, atorvastatin and ramipril in capsules by a validated stability-indicating RP-UPLC method. Sci. Pharm. 2010, 78, 821–834. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Trivedi, H.K.; Patel, M.C. Development and validation of a stability-indicating RP-UPLC method for determination of rosuvastatin and related substances in pharmaceutical dosage form. Sci. Pharm. 2012, 80, 393–406. [Google Scholar] [CrossRef] [PubMed]
  49. Kormány, R.; Molnár, I.; Fekete, J.; Guillarme, D.; Fekete, S. Robust UHPLC separation method development for multi-API product containing amlodipine and bisoprolol: The impact of column selection. Chromatographia 2014, 77, 1119–1127. [Google Scholar] [CrossRef]
  50. Wingert, N.R.; dos Santos, N.O.; Nunes, M.A.G.; Gomes, P.; Müller, E.I.; Flores, É.M.M.; Steppe, M. Characterization of three main degradation products from novel oral anticoagulant rivaroxaban under stress conditions by UPLC-Q-TOF-MS/MS. J. Pharm. Biomed. Anal. 2016, 123, 10–15. [Google Scholar] [CrossRef]
  51. Dhekale, N.H.; Bindu, K.H.; Kirankumar, K.Y.; Gore, A.H.; Anbhule, P.V.; Kolekar, G.B. Development and optimization of a multivariate RP-UPLC method for determination of telmisartan and its related substances by applying a two-level factorial design approach: Application to quality control study. Anal. Methods 2014, 6, 5168–5182. [Google Scholar] [CrossRef]
  52. Paczkowska, M.; Zalewski, P.; Garbacki, P.; Talaczyńska, A.; Krause, A.; Cielecka-Piontek, J. The development and validation of a stability-indicating UHPLC-DAD method for determination of perindopril l-arginine in bulk substance and pharmaceutical dosage form. Chromatographia 2014, 77, 1497–1501. [Google Scholar] [CrossRef] [Green Version]
  53. Uslu, B.; Özden, T. HPLC and UPLC methods for the simultaneous determination of enalapril and hydrochlorothiazide in pharmaceutical dosage forms. Chromatographia 2013, 76, 1487–1494. [Google Scholar] [CrossRef]
  54. Wren, S.A.C.; Tchelitcheff, P. UPLC/MS for the identification of beta-blockers. J. Pharm. Biomed. Anal. 2006, 40, 571–580. [Google Scholar] [CrossRef] [PubMed]
  55. Al-Tannak, N.F. UHPLC-UV method for simultaneous determination of perindopril arginine and indapamide hemihydrate in combined dosage form: A stability-indicating assay method. Sci. Pharm. 2018, 86, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Zheng, S.; Luo, S.-B.; Mei, Y.-B.; Guo, J.; Tong, L.-J.; Zhang, Q.; Ye, X.-Y. Simultaneous determination of rivaroxaban and enalapril in rat plasma by UPLC–MS/MS and its application to a pharmacokinetic interaction study. Eur. J. Drug Metab. Pharmacokinet. 2019, 44, 229–236. [Google Scholar] [CrossRef]
  57. Elkady, E.F.; Tammam, M.H.; Elmaaty, A.A. Stability indicating HPLC-UV vs. UPLC-DAD for estimation of atorvastatin simultaneously with aspirin, clopidogrel and their related impurities in bulk and capsules. Anal. Chem. Lett. 2017, 7, 596–610. [Google Scholar] [CrossRef]
  58. Mantena, B.P.V.; Rao, S.V.; Appa Rao, K.M.C.; Ramakrishna, K.; Reddy, R.S. Method development and validation for the determination of potential impurities present in azilsartan medoxomil tablets by reverse phase-ultra performance liquid chromatography. Anal. Chem. Lett. 2014, 4, 287–301. [Google Scholar] [CrossRef]
  59. Mantena, B.P.V.; Rao, S.V.; Suryakala, D.; Ramakrishna, K.; Reddy, R.S. Rapid analytical technique for the quantification of specified and unspecified impurities present in amlodipine besylate and olmesartan medoxomil fixed dose combination drug product using ethylene-bridged RP-UPLC column. Anal. Chem. Lett. 2016, 6, 795–819. [Google Scholar] [CrossRef]
  60. Mantena, B.P.V.; Rao, S.V.; Suryakala, D.; Ramakrishna, K.; Reddy, R.S. Development and validation of RP-UPLC method for the determination of process and degradant impurities present in dabigatran etexilate mesylate capsules using high strength silica-T3 sorbent column. Anal. Chem. Lett. 2016, 6, 595–611. [Google Scholar] [CrossRef]
  61. Mohan, T.S.S.J.; Jogia, H.A.; Mukkanti, K. Novel stability-indicating UHPLC method development and validation for the quantification of perindopril, amlodipine and their impurities in pharmaceutical formulations: Application of QbD approach. Chromatographia 2020, 83, 1197–1220. [Google Scholar] [CrossRef]
  62. Mohan, T.S.S.J.; Jogia, H.A.; Mukkanti, K. A stability indicating UHPLC method for the simultaneous estimation of perindopril, indapamide in presence of potential impurities: An application of QbD for robustness study. Anal. Chem. Lett. 2020, 10, 477–497. [Google Scholar] [CrossRef]
  63. Palaric, C.; Molinié, R.; Cailleu, D.; Fontaine, J.-X.; Mathiron, D.; Mesnard, F.; Gut, Y.; Renaud, T.; Petit, A.; Pilard, S. A deeper investigation of drug degradation mixtures using a combination of MS and NMR data: Application to indapamide. Molecules 2019, 24, 1764. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Cui, Y.; Li, Y.; Li, X.; Fan, L.; He, X.; Fu, Y.; Dong, Z. A simple UPLC/MS-MS method for simultaneous determination of lenvatinib and telmisartan in rat plasma, and its application to pharmacokinetic drug-drug interaction study. Molecules 2022, 27, 1291. [Google Scholar] [CrossRef] [PubMed]
  65. Pathan, S.A.; Mitra, B.; Cameron, P.A. A systematic review and meta-analysis comparing the efficacy of nonsteroidal anti-inflammatory drugs, opioids, and paracetamol in the treatment of acute renal colic. Eur. Urol. 2018, 73, 583–595. [Google Scholar] [CrossRef] [PubMed]
  66. Brune, K.; Hinz, B. The discovery and development of antiinflammatory drugs. Arthritis Rheum. 2004, 50, 2391–2399. [Google Scholar] [CrossRef]
  67. Synoweć, J.; Pogorzelczyk, K.; Robakowska, M.; Ślęzak, D.; Żuratyński, P.; Nadolny, K.; Mędrzycka-Dąbrowska, W. The consequences of using widely available non-steroidal anti-inflammatory drugs (NSAIDs). Med. Rodz. 2018, 3, 281–291. [Google Scholar] [CrossRef]
  68. Bindu, S.; Mazumder, S.; Bandyopadhyay, U. Non-steroidal anti-inflammatory drugs (NSAIDs) and organ damage: A current perspective. Biochem. Pharmacol. 2020, 180, 114147. [Google Scholar] [CrossRef]
  69. Nováková, L.; Solichová, D.; Solich, P. Advantages of ultra performance liquid chromatography over high-performance liquid chromatography: Comparison of different analytical approaches during analysis of diclofenac gel. J. Sep. Sci. 2006, 29, 2433–2443. [Google Scholar] [CrossRef]
  70. Rao, D.D.; Sait, S.S.; Mukkanti, K. Development and validation of an UPLC method for rapid determination of ibuprofen and diphenhydramine citrate in the presence of impurities in combined dosage form. J. Chromatogr. Sci. 2011, 49, 281–286. [Google Scholar] [CrossRef] [Green Version]
  71. Sethi, N.; Anand, A.; Chandrul, K.K.; Jain, G.; Srinivas, K.S. Development and validation of a stability-indicating RP-UPLC method for the quantitative analysis of nabumetone in tablet dosage form. J. Chromatogr. Sci. 2012, 50, 85–90. [Google Scholar] [CrossRef] [Green Version]
  72. Tettey-Amlalo, R.N.O.; Kanfer, I. Rapid UPLC-MS/MS method for the determination of ketoprofen in human dermal microdialysis samples. J. Pharm. Biomed. Anal. 2009, 50, 580–586. [Google Scholar] [CrossRef]
  73. Venkatarao, P.; Kumar, M.N.; Kumar, M.R. Novel validated stability-indicating UPLC method for the estimation of naproxen and its impurities in bulk drugs and pharmaceutical dosage form. Sci. Pharm. 2012, 80, 965–976. [Google Scholar] [CrossRef] [Green Version]
  74. Dabhi, B.; Parmar, B.; Patel, N.; Jadeja, Y.; Patel, M.; Jebaliya, H.; Karia, D.; Shah, A.K. A stability indicating UPLC method for the determination of levofloxacin hemihydrate in pharmaceutical dosage form: Application to pharmaceutical analysis. Chromatogr. Res. Int. 2013, 2013, 432753. [Google Scholar] [CrossRef] [Green Version]
  75. Gupta, H.; Aqil, M.; Khar, R.K.; Ali, A.; Sharma, A.; Chander, P. Development and validation of a stability-indicating RP-UPLC method for the quantitative analysis of sparfloxacin. J. Chromatogr. Sci. 2010, 48, 1–6. [Google Scholar] [CrossRef] [Green Version]
  76. Nguyen, D.T.-T.; Guillarme, D.; Rudaz, S.; Veuthey, J.-L. Validation of an ultra-fast UPLC-UV method for the separation of antituberculosis tablets. J. Sep. Sci. 2008, 31, 1050–1056. [Google Scholar] [CrossRef] [PubMed]
  77. Reddy, G.N.K.; Prasad, V.V.S.R.; Maiti, N.J.; Nayak, D.; Maharana, P.K. Development and validation of a stability indicating UPLC method for determination of moxifloxacin hydrochloride in pharmaceutical formulations. Pharm. Anal. Acta 2011, 2, 1000142. [Google Scholar]
  78. Zalewski, P.; Talaczyńska, A.; Korban, P.; Garbacki, P.; Mizera, M.; Cielecka-Piontek, J. An approach to transfer methods from HPLC to UHPLC techniques in some carbapenems. Chromatographia 2014, 77, 1483–1487. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Cui, Y.; Tang, L.; He, B.; Liu, R.; Li, Q. Simultaneous determination of four main impurities in cefuroxime lysine by ultra fast liquid chromatography-tandem mass spectrometry: Application to the analysis of products in stability testing. Anal. Methods 2015, 7, 1958–1964. [Google Scholar] [CrossRef]
  80. Rigo-Bonnin, R.; Gomez-Junyent, J.; García-Tejada, L.; Benavent, E.; Soldevila, L.; Tubau, F.; Murillo, O. Measurement of ceftolozane and tazobactam concentrations in plasma by UHPLC-MS/MS. Clinical application in the management of difficult-to-treat osteoarticular infections. Clin. Chim. Acta 2019, 488, 50–60. [Google Scholar] [CrossRef]
  81. Dobrova, A.O.; Golovchenko, O.S.; Bezruk, I.V.; Ivanauskas, L.; Georgiyants, V. Simultaneous determination of amoxicillin and potassium clavulanate in combined medicinal forms: Procedure transfer from HPLC to UPLC. Ces. Slov. Farm. 2020, 69, 186–193. [Google Scholar]
  82. Krishna, M.V.V.N.M.; Rao, S.V.; Venugopal, N.V.S.; Mantena, B.P.V. Simultaneous determination of acetaminophen and tramadol impurities in combination product of acetaminophen and tramadol tablets by UPLC with trifunctional octadecyl column. Anal. Chem. Lett. 2015, 5, 306–318. [Google Scholar] [CrossRef]
  83. Makwana, S.; Patel, M.; Prajapati, D.; Shingala, C.; Upadhyay, J.; Shah, A. NSAID drugs and a new approach of method transfer from classical HPLC to a modern UPLC instrument. Chromatogr. Res. Int. 2016, 2016, 1596021. [Google Scholar] [CrossRef] [Green Version]
  84. Nguyen, N.V.T.; Tran, T.N.T.; Nguyen, M.Q.; Nguyen, T.K. Rapid and simultaneous determination of paracetamol, ibuprofen and related impurity of ibuprofen by UPLC/DAD. Pharm. Sci. Asia 2018, 45, 213–220. [Google Scholar] [CrossRef]
  85. Reddy, R.S.; Krishna, R.M.; Vekaria, N.A.; Sumathi, R.V.; Mantena, B.P.V. Determination of potential impurities of naproxen sodium in soft gelatin capsules dosage by using ultra performance liquid chromatography. Anal. Chem. Lett. 2016, 6, 55–69. [Google Scholar] [CrossRef]
  86. Szeitz, A.; Edginton, A.N.; Peng, H.T.; Cheung, B.; Riggs, K.W. A validated enantioselective assay for the determination of ibuprofen in human plasma using ultra performance liquid chromatography with tandem mass spectrometry (UPLC-MS/MS). Am. J. Anal. Chem. 2010, 1, 47–58. [Google Scholar] [CrossRef] [Green Version]
  87. Chambers, E.; Diehl, D.; Mazzeo, J. A Rapid and Sensitive SPE-UPLC/MS/MS Method for Determination of Ropinirole in Human Plasma. WATERS The Application Notebook. 2005, pp. 31–34. Available online: https://www.waters.com/content/dam/waters/en/app-notes/2009/720002162/720002162-de.pdf (accessed on 16 October 2022).
  88. Eid, M.A.; Yusof, N.A.; Faruq, M.; Abdullah, J.; Sulaiman, Y. Quantitative measurement of amoxicillin in ibuprofen tablets using UPLC. Measurement 2016, 93, 465–472. [Google Scholar] [CrossRef]
  89. Kirkham, K.; Meadows, K. Rapid Separation of Ibuprofen, Ibuprofen-Related Compound C, and Valerophenone Using Advanced UHPLC and Sub-2 µm Solid Core Column Technologies. Thermo Fisher Scientific Application Note. 2022, p. 21183. Available online: https://appslab.thermofisher.com/App/1925/rapid-separation-ibuprofen-ibuprofenrelated-compound-c-valerophenone-using-advanced-uhplc-sub2-%C2%B5m-solid-core-column-technologies (accessed on 16 October 2022).
  90. Feliu, C.; Konecki, C.; Candau, T.; Vautier, D.; Haudecoeur, C.; Gozalo, C.; Cazaubon, Y.; Djerada, Z. Quantification of 15 antibiotics widely used in the critical care unit with a LC-MS/MS system: An easy method to perform a daily therapeutic drug monitoring. Pharmaceuticals 2021, 14, 1214. [Google Scholar] [CrossRef] [PubMed]
  91. Reddy, Y.; Kumar, K.; Reddy, M.; Mukkanti, K. RP-UPLC method development and validation for the simultaneous estimation of ibuprofen and famotidine in pharmaceutical dosage form. Pharm. Methods 2012, 3, 57–60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Singh, S.; Choidhary, N.; Rai, J.; Siddiqui, I.; Sharm, S. A validated RP-UPLC method development for simultaneous estimation of lansoprazole and naproxen in bulk and tablet dosage form. Asian J. Pharm. Clin. Res. 2013, 6, 150–152. [Google Scholar]
  93. Yan, H.; Liu, W.; Xia, Q.; Pan, Y. Simultaneous determination of 12 nonsteroidal anti-inflammatory drugs illegally added into antirheumatic TCM preparations by UPLC-MS/MS. Chin. Pharm. 2017, 12, 3871–3875. [Google Scholar]
  94. Elzayat, E.M.; Ibrahim, M.F.; Abdel-Rahman, A.A.; Ahmed, S.M.; Alanazi, F.K.; Habib, W.A. A validated stability-indicating UPLC method for determination of diclofenac sodium in its pure form and matrix formulations. Arab J. Chem. 2017, 10, S3245–S3254. [Google Scholar] [CrossRef]
  95. Kapoor, G.; Saigal, S.; Elongavan, A. Action and resistance mechanisms of antibiotics: A guide for clinicians. Anaesthesiol. Clin. Pharmacol. 2017, 33, 300–305. [Google Scholar] [CrossRef] [PubMed]
  96. Sun, D.S.; Kissler, S.M.; Kanjilal, S.; Olesen, S.W.; Lipsitch, M.; Grad, Y.H. Analysis of multiple bacterial species and antibiotic classes reveals large variation in the association between seasonal antibiotic use and resistance. PLoS Biol. 2022, 20, e3001579. [Google Scholar] [CrossRef] [PubMed]
  97. Pauter, K.; Szultka-Młyńska, M.; Buszewski, B. Determination and identification of antibiotic drugs and bacterial strains in biological samples. Molecules 2020, 25, 2556. [Google Scholar] [CrossRef] [PubMed]
  98. Chen, J.; Ying, G.-G.; Deng, W.-J. Antibiotic residues in food: Extraction, analysis, and human health concerns. Agric. Food Chem. 2019, 67, 7569–7586. [Google Scholar] [CrossRef]
  99. Chen, S.C.A.; Sorrell, T.C. Antifungal agents. Med. J. Aust. 2017, 187, 404–409. [Google Scholar] [CrossRef]
  100. Owens, J.N.; Skelley, J.W.; Kyle, J.A. The fungus among us: An antifungal review. US Pharm. 2010, 35, 44–56. [Google Scholar]
  101. Ghannoum, M.A.; Rice, L.B. Antifungal agents: Mode of action, mechanisms of resistance, and correlation of these mechanisms with bacterial resistance. Clin. Microbiol. Rev. 1999, 12, 501–517. [Google Scholar] [CrossRef] [Green Version]
  102. O’Connor, N.; Geary, M.; Wharton, M.; Sweetman, P. The determination of miconazole and its related production impurities together with basic solution stability studies using a sub 2 μm chromatographic column. J. Chromatogr. Sci. 2012, 50, 199–205. [Google Scholar] [CrossRef] [Green Version]
  103. Dongre, V.G.; Karmuse, P.P.; Rao, P.P.; Kumar, A. Development and validation of UPLC method for determination of primaquine phosphate and its impurities. J. Pharm. Biomed. Anal. 2008, 46, 236–242. [Google Scholar] [CrossRef]
  104. Van De Steene, J.C.; Lambert, W.E. Comparison of matrix effects in HPLC-MS/MS and UPLC-MS/MS analysis of nine basic pharmaceuticals in surface waters. J. Am. Soc. Mass Spectrom. 2008, 19, 713–718. [Google Scholar] [CrossRef] [Green Version]
  105. Yanamandra, R.; Chaudhary, A.; Bandaru, S.R.; Patro, B.; Murthy, Y.L.N.; Ramaiah, P.A.; Sastry, C.S.P. UPLC method for simultaneous separation and estimation of secnidazole, fluconazole and azithromycin in pharmaceutical dosage forms. E J. Chem. 2010, 7, S363–S371. [Google Scholar] [CrossRef]
  106. Elkady, E.F.; Tammam, M.H.; Elmaaty, A.A. HPLC-UV vs. UPLC-DAD for estimation of tinidazole, benzyl alcohol and hydrocortisone acetate simultaneously with tioconazole and its related impurities in bulk and pharmaceutical formulations. Anal. Chem. Lett. 2017, 7, 153–169. [Google Scholar] [CrossRef]
  107. Lisi, L.; Ciotti, G.M.P.; Navarra, P. Development of an UPLC-MS/MS method for quantitative analysis of clotrimazole in human plasma samples. Separations 2020, 7, 62. [Google Scholar] [CrossRef]
  108. Gardner, D.M.; Baldessarini, R.J.; Waraich, P. Modern antipsychotic drugs: A critical overview. Can. Med. Assoc. J. 2005, 172, 1703–1711. [Google Scholar] [CrossRef] [Green Version]
  109. Morrison, A.P.; Law, H.; Carter, L.; Sellers, R.; Emsley, R.; Pyle, M.; French, P.; Shiers, D.; Yung, A.R.; Murphy, E.K.; et al. Antipsychotic drugs versus cognitive behavioural therapy versus a combination of both in people with psychosis: A randomised controlled pilot and feasibility study. Lancet Psychiat. 2018, 5, 411–423. [Google Scholar] [CrossRef] [Green Version]
  110. Zhu, J.; Hou, W.; Xu, Y.; Ji, F.; Wang, G.; Chen, C.; Lin, C.; Lin, X.; Li, J.; Zhuo, C.; et al. Antipsychotic drugs and sudden cardiac death: A literature review of the challenges in the prediction, management, and future steps. Psychiatry Res. 2019, 281, 112598. [Google Scholar] [CrossRef] [PubMed]
  111. Maguire, M.; Singh, J.; Marson, A. Epilepsy and psychosis: A practical approach. Pract. Neurol. 2018, 18, 106–114. [Google Scholar] [CrossRef]
  112. Sharma, K.B. Antidepressants: Mechanism of action, toxicity and possible amelioration. J. Appl. Biotechnol. Bioeng. 2017, 3, 437–448. [Google Scholar]
  113. Artigas, F.; Nutt, D.J.; Shelton, R. Mechanism of action of antidepressants. Psychopharmacol. Bull. 2002, 36, 123–132. [Google Scholar]
  114. Cipriani, A.; Furukawa, T.A.; Salanti, G.; Chaimani, A.; Atkinson, L.Z.; Ogawa, Y.; Leucht, S.; Ruhe, H.G.; Turner, E.H.; Higgins, J.P.T.; et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: A systematic review and network meta-analysis. Lancet 2018, 391, 1357–1366. [Google Scholar] [CrossRef] [Green Version]
  115. Morofuji, Y.; Nakagawa, S. Drug development for central nervous system diseases using in vitro blood-brain barrier models and drug repositioning. Curr. Pharm. Des. 2020, 26, 1466–1485. [Google Scholar] [CrossRef]
  116. Gribkoff, V.K.; Kaczmarek, L.K. The need for new approaches in CNS drug discovery: Why drugs have failed, and what can be done to improve outcomes. Neuropharmacology 2017, 1, 11–19. [Google Scholar] [CrossRef] [Green Version]
  117. Winek, K.; Soreq, H.; Meisel, A. Regulators of cholinergic signaling in disorders of the central nervous system. J. Neurochem. 2021, 158, 1425–1438. [Google Scholar] [CrossRef]
  118. Bindu, K.H.; Reddy, I.U.; Anjaneyulu, Y.; Suryanarayana, M.V. A stability-indicating ultra-performance liquid chromatographic method for estimation of related substances and degradants in paliperidone active pharmaceutical ingredient and its pharmaceutical dosage forms. J. Chromatogr. Sci. 2012, 50, 368–372. [Google Scholar] [CrossRef]
  119. Chhalotiya, U.K.; Patel, H.B.; Bhatt, K.K. Development and validation of an ultra performance liquid chromatography method for venlafaxine hydrochloride in bulk and capsule dosage form. Indian J. Pharm. Sci. 2010, 72, 814–818. [Google Scholar] [CrossRef] [Green Version]
  120. Krishnaiah, C.; Murthy, M.V.; Kumar, R.; Mukkanti, K. Development of a stability-indicating UPLC method for determining olanzapine and its associated degradation products present in active pharmaceutical ingredients and pharmaceutical dosage forms. J. Pharm. Biomed. Anal. 2011, 54, 667–673. [Google Scholar] [CrossRef]
  121. Li, K.Y.; Zhou, Y.G.; Ren, H.Y.; Wang, F.; Zhang, B.K.; Li, H.D. Ultra-performance liquid chromatography-tandem mass spectrometry for the determination of atypical antipsychotics and some metabolites in in vitro samples. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2007, 850, 581–585. [Google Scholar] [CrossRef]
  122. Rao, D.D.; Sait, S.S.; Reddy, A.M.; Chakole, D.; Reddy, Y.R.; Mukkanti, K. Analysis of duloxetine hydrochloride and its related compounds in pharmaceutical dosage forms and in vitro dissolution studies by stability indicating UPLC. J. Chromatogr. Sci. 2010, 48, 819–824. [Google Scholar] [CrossRef] [Green Version]
  123. Trivedi, R.K.; Patel, M.C. Development and validation of a stability indicating RP-UPLC method for determination of quetiapine in pharmaceutical dosage form. Sci. Pharm. 2011, 79, 97–111. [Google Scholar] [CrossRef] [Green Version]
  124. Thakkar, R.S.; Saravaia, H.T.; Ambasana, M.A.; Kaila, H.O.; Shah, A.K. A chromatographic determination of aripiprazole using HPLC and UPLC: A comparative validation study. Indian J. Pharm. Sci. 2011, 73, 439–443. [Google Scholar]
  125. Huang, X.; Zhang, S.; Ma, Y.; Yang, H.; He, C.; Tian, R.; Mei, H.; Liu, L.; Zhang, B. Bioequivalence of two quetiapine extended release tablets in Chinese healthy volunteers under fasting and fed conditions and effects of food on pharmacokinetic profiles. Drug Des. Dev. Ther. 2019, 13, 255–264. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Krishnaiah, C.H.; Murthy, M.V.; Reddy, A.R.; Kumar, R.; Mukkanti, K. Development and validation of ropinirole hydrochloride and its related compounds by UPLC in API and pharmaceutical dosage forms. J. Chinese Chem. Soc. 2010, 57, 348–355. [Google Scholar] [CrossRef]
  127. Oláh, E.; Bacsói, G.; Fekete, J.; Sharma, V.K. Determination of ng/mL levetiracetam using ultra-high-performance liquid chromatography-photodiode absorbance. J. Chromatogr. Sci. 2012, 50, 253–258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  128. Sahu, K.; Shaharyar, M.; Siddiqui, A.A.; Sahu, S. Establishment of inherent stability on piracetam by UPLC/HPLC and development of a validated stability-indicating method. Arab. J. Chem. 2017, 10, S576–S582. [Google Scholar] [CrossRef]
  129. Gumustas, M.; Uslu, B.; Ozkan, S.A.; Aboul-Enein, H.Y. Validated stability-indicating HPLC and UPLC assay methods for the determination of entacapone in pharmaceutical dosage forms. Chromatographia 2014, 77, 1721–1726. [Google Scholar] [CrossRef]
  130. Thakkar, R.; Saravaia, H.; Shah, A. Determination of antipsychotic drugs known for narcotic action by ultra performance liquid chromatography. Anal. Chem. Lett. 2015, 5, 1–11. [Google Scholar] [CrossRef]
  131. Nadella, P.N.; Ratnakaram, V.N.; Navuluri, S. QbD-based uplc method for quantification of brexpiprazole in presence of impurities and application to in vitro dissolution. J. Chromatogr. Sci. 2021, 59, 223–240. [Google Scholar] [CrossRef] [PubMed]
  132. Pawar, A.; Pandita, N. Statistically designed, targeted profile UPLC method development for assay and purity of haloperidol in haloperidol drug substance and haloperidol 1 mg tablets. Chromatographia 2020, 83, 725–737. [Google Scholar] [CrossRef]
  133. Bryan-Marrugo, O.L.; Ramos-Jiménez, J.; Barrera-Saldaña, H.; Rojas-Martínez, A.; Vidaltamayo, R.; Rivas-Estilla, A.M. History and progress of antiviral drugs: From acyclovir to direct-acting antiviral agents (DAAs) for Hepatitis C. Med. Univ. 2015, 17, 165–174. [Google Scholar] [CrossRef] [Green Version]
  134. Lartey, M.; Torpey, K.; Barker, C.I.S. Antiviral drugs. In Side Effects of Drugs Annual; Aronson, J.K., Ed.; Elsevier: Amsterdam, The Netherlands, 2012; Volume 34, pp. 447–477. [Google Scholar]
  135. De Clercq, E.; Li, G. Approved antiviral drugs over the past 50 years. Clin. Microbiol. Rev. 2016, 29, 695–747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  136. Pilarova, P.; Kastner, P.; Nejedly, T.; Klimes, J. Development and validation of rapid UHPLC method for determination of aciclovir, its impurities and preservatives in topical cream. Anal. Methods 2013, 5, 2610–2614. [Google Scholar]
  137. Vukkum, P.; Deshpande, G.R.; Babu, J.M.; Muralikrishna, R.; Jagu, P. Stress degradation behavior of abacavir sulfate and development of a suitable stability-indicating uhplc method for the determination of abacavir, its related substances, and degradation products. Sci. Pharm. 2012, 80, 903–921. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  138. Bollen, P.D.J.; de Graaff-Teulen, M.J.A.; Schalkwijk, S.; van Erp, N.P.; Burger, D.M. Development and validation of an UPLC-MS/MS bioanalytical method for simultaneous quantification of the antiretroviral drugs dolutegravir, elvitegravir, raltegravir, nevirapine and etravirine in human plasma. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2019, 1105, 76–84. [Google Scholar] [CrossRef] [PubMed]
  139. Kamal, A.H.; Mabrouk, M.M.; Bebawy, L.I.; Mekky, M.A. Spectrophotometric and robust UPLC methods for simultaneous determination of velpatasvir and sofosbuvir in their tablet. Microchem. J. 2019, 149, 103996. [Google Scholar] [CrossRef]
  140. Mondal, P.; Mahender, K.; Padmaja, B. A novel UPLC-PDA method for the simultaneous determination of lamivudine, zidovudine and nevirapine in bulk and tablet dosage form. Anal. Chem. Lett. 2018, 8, 131–138. [Google Scholar] [CrossRef]
  141. Simons, F.E.R.; Simons, K. H1 Antihistamines: Current status and future directions. World Allergy Organ. J. 2008, 1, 145–155. [Google Scholar] [CrossRef]
  142. Keller, G.A.; Di Girolamo, G. Antihistamines: Past answers and present questions. Curr Drug Saf. 2010, 5, 58–64. [Google Scholar] [CrossRef]
  143. Panula, P.; Chazot, P.L.; Cowart, M.; Gutzmer, R.; Leurs, R.; Liu, W.L.S.; Stark, H.; Thurmond, R.L.; Haas, H.L. International Union of Basic and Clinical Pharmacology. XCVIII. Histamine receptors. Pharmacol. Rev. 2015, 67, 601–655. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  144. Kumar, N.; Sangeetha, D.; Reddy, P.S.; Prakash, L. A validated stability-indicating RP-UPLC method for simultaneous determination of desloratadine and sodium benzoate in oral liquid pharmaceutical formulations. Sci. Pharm. 2012, 80, 153–165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Rao, D.D.; Satyanarayana, N.V.; Reddy, A.M.; Sait, S.S.; Chakole, D.; Mukkanti, K. A validated stability-indicating UPLC method for desloratadine and its impurities in pharmaceutical dosage forms. J. Pharm. Biomed. Anal. 2010, 51, 736–742. [Google Scholar] [CrossRef]
  146. Havlíková, L.; Pannyová, A.; Matysová, L.; Solich, P. Development of novel stability-indicating method for the determination of dimethindene maleate and its impurities. Chromatographia 2013, 76, 1545–1551. [Google Scholar] [CrossRef]
  147. Schmidt, A.H.; Molnár, I. Using an innovative Quality-by-Design approach for development of a stability indicating UHPLC method for ebastine in the API and pharmaceutical formulations. J. Pharm. Biomed. Anal. 2013, 78–79, 65–74. [Google Scholar] [CrossRef] [PubMed]
  148. Trivedi, R.K.; Patel, M.C.; Jadhav, S.B. A rapid, stability indicating RP-UPLC method for simultaneous determination of ambroxol hydrochloride, cetirizine hydrochloride and antimicrobial preservatives in liquid pharmaceutical formulation. Sci. Pharm. 2011, 79, 525–544. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Binnor, A.K.; Mukkanti, K.; Suryanarayana, M.V.; Roy, S.B. Stability-indicating UPLC method for tramadol HCl impurities in the tramadol injection after dilution by infusion fluids (5% dextrose and 0.9% sodium chloride). Sci. Pharm. 2013, 81, 1003–1015. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  150. Brown, S.D.; Connor, J.D.; Smallwood, N.C.; Lugo, R.A. Quantification of lansoprazole in oral suspension by ultra-high-performance liquid chromatography hybrid ion-trap time-of-flight mass spectrometry. Int. J. Anal. Chem. 2011, 2011, 832414. [Google Scholar] [CrossRef] [PubMed]
  151. Arellano, C.; Gandia, P.; Lafont, T.; Jongejan, R.; Chatelut, E. Determination of unbound fraction of imatinib and N-desmethyl imatinib, validation of an UPLC-MS/MS assay and ultrafiltration method. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2012, 907, 94–100. [Google Scholar] [CrossRef] [PubMed]
  152. Churchwell, M.I.; Twaddle, N.C.; Meeker, L.R.; Doerge, D.R. Improving LC-MS sensitivity through increases in chromatographic performance: Comparisons of UPLC-ES/MS/MS to HPLC-ES/MS/MS. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2005, 825, 134–143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Berg, T.; Strand, D.H. 13C labelled internal standards-A solution to minimize ion suppression effects in liquid chromatography-tandem mass spectrometry analyses of drugs in biological samples? J. Chromatogr. A 2011, 1218, 9366–9374. [Google Scholar] [CrossRef] [PubMed]
  154. Davadra, P.M.; Mepal, V.V.; Jain, M.R.; Joshi, C.G.; Bapodra, A.H. A validated UPLC method for the determination of process-related impurities in azathioprine bulk drug. Anal. Methods 2011, 3, 198–204. [Google Scholar] [CrossRef] [PubMed]
  155. Jones, M.D.; Plumb, R.S. The application of sub-2-μm particle liquid chromatography-operated high mobile linear velocities coupled to orthogonal accelerated time-of-flight mass spectrometry for the analysis of ranitidine and its impurities. J. Sep. Sci. 2006, 29, 2409–2420. [Google Scholar] [CrossRef]
  156. Noori, R.E.; Abdoli, M.A.; Farrokhnia, A.; Ghaemi, A. Solid waste generation predicting by hybrid of artificial neural network and wavelet transform. J. Environ. Stud. 2009, 35, 25–30. [Google Scholar]
  157. Hasegawa, T.; Takahashi, K.; Saijo, M.; Ishii, T.; Nagata, T. Rapid determination of theophylline, theobromine and caffeine in dietary supplements containing guarana by ultra-performance liquid chromatography. Shokuhin Eiseigaku Zasshi J. Food Hyg. Soc. Jpn. 2009, 50, 304–310. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  158. Khan, S.R.; Tawakkul, M.; Sayeed, V.A.; Faustino, P.; Khan, M.A. Stability characterization, kinetics and mechanism of degradation of dantrolene in aqueous solution: Effect of pH and temperature. Pharmacol. Pharm. 2012, 3, 281–290. [Google Scholar] [CrossRef] [Green Version]
  159. Trivedi, R.K.; Patel Mukesh, C.; Kharkar Amit, R. Determination of mesalamine related impurities from drug product by reversed phase validated UPLC method. E J. Chem. 2011, 8, 131–148. [Google Scholar]
  160. Malleswararao, C.S.N.; Suryanarayana, M.V.; Mukkanti, K. Simultaneous determination of sitagliptin phosphate monohydrate and metformin hydrochloride in tablets by a validated UPLC method. Sci. Pharm. 2012, 80, 139–152. [Google Scholar] [CrossRef] [Green Version]
  161. Malati, V.; Reddy, A.R.; Mukkanti, K.; Suryanarayana, M.V. A novel reverse phase stability indicating RP-UPLC method for the quantitative determination of fifteen related substances in ranolazine drug substance and drug product. Talanta 2012, 97, 563–573. [Google Scholar] [CrossRef]
  162. Murthy, M.V.; Krishnaiah, C.; Srinivas, K.; Rao, K.S.; Kumar, N.R.; Mukkanti, K. Development and validation of RP-UPLC method for the determination of darifenacin hydrobromide, its related compounds and its degradation products using design of experiments. J. Pharm. Biomed. Anal. 2013, 72, 40–50. [Google Scholar] [CrossRef]
  163. Owen, S.C.; Lee, M.; Grissom, C.B. Ultra-performance liquid chromatographic separation and mass spectrometric quantitation of physiologic cobalamins. J. Chromatogr. Sci. 2011, 49, 228–233. [Google Scholar] [CrossRef] [Green Version]
  164. Nanduri, V.V.S.S.R.; Adapa, V.S.S.P.; Kura, R.R. Development and validation of stability-indicating HPLC and UPLC methods for the determination of bicalutamide. J. Chromatogr. Sci. 2012, 50, 316–323. [Google Scholar] [CrossRef] [Green Version]
  165. Nageswari, A.; Reddy, K.V.S.R.K.; Mukkanti, K. Stability-indicating UPLC method for determination of imatinib mesylate and their degradation products in active pharmaceutical ingredient and pharmaceutical dosage forms. J. Pharm. Biomed. Anal. 2012, 66, 109–115. [Google Scholar] [CrossRef]
  166. Nováková, L.; Matysová, L.; Solich, P. Advantages of application of UPLC in pharmaceutical analysis. Talanta 2006, 68, 908–918. [Google Scholar] [CrossRef]
  167. Rao, P.V.; Kumar, M.N.; Kumar, M.R. A novel, validated stability-indicating UPLC method for the estimation of lansoprazole and its impurities in bulk drug and pharmaceutical dosage forms. Sci. Pharm. 2013, 81, 183–193. [Google Scholar] [PubMed] [Green Version]
  168. Rane, S.S.; Ajameri, A.; Mody, R.; Padmaja, P. Development and validation of RP-HPLC and RP-UPLC methods for quantification of erythropoietin formulated with human serum albumin. J. Pharm. Anal. 2012, 2, 160–165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  169. Saini, P.K.; Jain, C.L.; Singh, R.M.; Mathur, S.C.; Singh, G.N. Development and validation of a RP-ultra performance liquid chromatographic method for quantification of topotecan hydrochloride in bulk and injection dosage form. Indian J. Pharm. Sci. 2010, 72, 494–497. [Google Scholar] [PubMed] [Green Version]
  170. Srinivasu, P.; SubbaRao, D.V.; Vegesna, R.V.K.; Babu, K.S. A validated stability-indicating LC method for fluocinonide in the presence of degradation products, its process-related impurities and identification of degradation products. Am. J. Anal. Chem. 2010, 1, 113–126. [Google Scholar] [CrossRef] [Green Version]
  171. Vinay, K.B.; Revanasiddappa, H.D.; Xavier, C.M.; Ramesh, P.J.; Raghu, M.S. A stability indicating UPLC method for the determination of tramadol hydrochloride: Application to pharmaceutical analysis. Chromatogr. Res. Int. 2012, 2012, 870951. [Google Scholar] [CrossRef] [Green Version]
  172. Yanamandra, R.; Vadla, C.S.; Puppala, U.; Patro, B.; Murthy, Y.L.N.; Ramaiah, P.A. A new rapid and sensitive stability-indicating UPLC assay method for tolterodine tartrate: Application in pharmaceuticals, human plasma and urine samples. Sci. Pharm. 2012, 80, 101–114. [Google Scholar] [CrossRef]
  173. Yanamandra, R.; Vadla, C.S.; Puppala, U.M.; Patro, B.; Murthy, Y.L.N.; Parimi, A.R. Development and validation of a rapid RP-UPLC method for the simultaneous estimation of bambuterol hydrochloride and montelukast sodium from tablets. Indian J. Pharm. Sci. 2012, 74, 116–121. [Google Scholar] [CrossRef] [Green Version]
  174. Yamashita, T.; Dohta, Y.; Nakamura, T.; Fukami, T. High-speed solubility screening assay using ultra-performance liquid chromatography/mass spectrometry in drug discovery. J. Chromatogr. A 2008, 1182, 72–76. [Google Scholar] [CrossRef]
  175. Zhou, N.; Qian, Q.; Qi, P.; Zhao, J.; Wang, C.; Wang, Q. Identification of degradation products and process impurities from terbutaline sulfate by UHPLC-Q-TOF-MS/MS and in silico toxicity prediction. Chromatographia 2017, 80, 793–804. [Google Scholar] [CrossRef]
  176. Tian, H.; Xu, Y.; Wang, J.; Tian, W.; Sun, J.; Zhang, T.; Zhou, Q.; Shao, C. Effects of plasma albumin on the pharmacokinetics of esomeprazole in ICU patients. Biomed. Res. Int. 2018, 2018, 6374374. [Google Scholar] [CrossRef] [PubMed]
  177. Van Nuland, M.; Venekamp, N.; de Vries, N.; de Jong, K.A.M.; Rosing, H.; Beijnen, J.H. Development and validation of an UPLC-MS/MS method for the therapeutic drug monitoring of oral anti-hormonal drugs in oncology. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2019, 1106–1107, 26–34. [Google Scholar] [CrossRef] [PubMed]
  178. Yang, X.; Mei, C.; He, X.; He, L.; Lu, X.; Tong, H.; Lou, Y. Quantification of venetoclax for therapeutic drug monitoring in chinese acute myeloid leukemia patients by a validated UPLC-MS/MS method. Molecules 2022, 27, 1607. [Google Scholar] [CrossRef] [PubMed]
  179. Benzel, J.; Bajraktari-Sylejmani, G.; Uhl, P.; Davis, A.; Nair, S.; Pfister, S.M.; Haefeli, W.E.; Weiss, J.; Burhenne, J.; Pajtler, K.W.; et al. Investigating the central nervous system disposition of actinomycin D: Implementation and evaluation of cerebral microdialysis and brain tissue measurements suqpported by UPLC-MS/MS quantification. Pharmaceutics 2021, 13, 1498. [Google Scholar] [CrossRef] [PubMed]
  180. Bao, Z.; Cheng, Y.-C.; Luo, M.Z.; Zhang, J.Y. Comparison of the purity and impurity of glucagon-for-injection products under various stability conditions. Sci. Pharm. 2022, 90, 32. [Google Scholar] [CrossRef]
  181. Xue, Y.; Sheng, Y.; Wang, J.; Huang, Q.; Zhang, F.; Wen, Y.; Liu, S.; Jiang, Y. Fast screening and identification of illegal adulterated glucocorticoids in dietary supplements and herbal products using UHPLC-QTOF-MS with all-ion fragmentation acquisition combined with characteristic fragment ion list classification. Front. Chem. 2021, 9, 785475. [Google Scholar] [CrossRef]
  182. Ares, A.M.; Fernández, P.; Regenjo, M.; Fernández, A.M.; Carro, A.M.; Lorenzo, R.A. A fast bioanalytical method based on microextraction by packed sorbent and UPLC–MS/MS for determining new psychoactive substances in oral fluid. Talanta 2017, 174, 454–461. [Google Scholar] [CrossRef]
  183. Szkudzińska, K.; Smutniak, I.; Rubaj, J.; Korol, W.; Bielecka, G. Method validation for determination of amino acids in feed by UPLC. Accred. Qual. Assur. 2017, 22, 247–252. [Google Scholar] [CrossRef]
  184. Hemida, M.; Haddad, P.R.; Lam, S.C.; Coates, L.J.; Riley, F.; Diaz, A.; Gooley, A.A.; Wirth, H.-J.; Guinness, S.; Sekulic, S.; et al. Small footprint liquid chromatography-mass spectrometry for pharmaceutical reaction monitoring and automated process analysis. J. Chromatogr. A 2021, 1656, 462545. [Google Scholar] [CrossRef]
  185. Henchoz, Y.; Guillarme, D.; Martel, S.; Rudaz, S.; Veuthey, J.-L.; Carrupt, P.-A. Fast log P determination by ultra-high-pressure liquid chromatography coupled with UV and mass spectrometry detections. Anal. Bioanal. Chem. 2009, 394, 1919–1930. [Google Scholar] [CrossRef] [Green Version]
  186. Ciura, K.; Dziomba, S.; Nowakowska, J.; Markuszewski, M.J. Thin layer chromatography in drug discovery process. J. Chromatogr. A 2014, 1520, 9–22. [Google Scholar] [CrossRef] [PubMed]
  187. Reyes-Reyes, M.L.; Roa-Morales, G.; Melgar-Fernández, R.; Reyes-Pérez, H.; Gómez-Oliván, L.M.; Gonzalez-Rivas, N.; Bautista-Renedo, J.; Balderas-Hernández, P. Chiral recognition of abacavir enantiomers by (2-hydroxy) propyl-β-cyclodextrin: UHPLC, NMR and DFT studies. J. Incl. Phenom. Macrocycl. Chem. 2015, 82, 373–382. [Google Scholar] [CrossRef]
  188. Andreassen, T.N.; Falch, B.M.H.; Spigset, O. A UPLC–MSMS method for the analysis of olanzapine in serum—With particular emphasis on drug stability testing. J. Chromatogr. B 2015, 1006, 112–120. [Google Scholar] [CrossRef] [PubMed]
Table 1. UPLC technique in the analysis of cardiovascular drugs.
Table 1. UPLC technique in the analysis of cardiovascular drugs.
Active SubstanceSampleColumnMobile Phase
(Gradient: Time [min]/%B)
Flow RateDetectionCommentsRef
Valsartan Hydrochlorothiazydcombined
tablets
Kromasil Eternity C-18
(50 × 2.1 mm, 3.5 μm)
A-methanol; B-0.1% triethylamine pH3; A:B (75:25, v/v)0.6 mL/minUV 225 nmassay[29]
LodenafiltabletsBEH C18 (50 × 2.1 mm, 1.7 μm)A-methanol; B-0.1% formic acid pH4; A:B (55:45, v/v)0.4 mL/minMSphotodegradtion; cytotoxicity; determination of degradation products[30]
Ezetynibe
Simvastatin
tabletsKromasil Eternity TM C18
(50 × 2.1 mm, 2.5 μm)
A-acetonitrile; B-0.01 M ammonium acetate
buffer pH6.7; Gradient elution
0.35 mL/minUV 235 nmdegradation study[31]
TrandolaprilsubstanceBEH C18 (100 × 2.1 mm, 1.7 μm)A-ammonium bicarbonate in water
B-acetonitrile; A:B (68:32, v/v)
0.4 mL/minUV 211 nm;
QTOF-MS
degradation study[32]
PitawastatinsubstanceBEH C18 (100×2.1 mm, 1.7 μm)A-phosphate buffer; B-acetonitrile;
Gradient: 0/45, 2/45, 2.5/100, 4/100, 4.5/45, 5/45
0.3 mL/minUV 245 nmdegradation study[33]
Valsartantablets, substanceBEH C18 (100×2.1 mm, 1.7 μm)A-1% acetic acid buffer, acetonitrile (90:10, v/v)
B-acetic acid buffer, acetonitrile (10:90, v/v)
Gradient: 0.01/20, 1/40, 3.5/55, 6.5/80, 8.5/80, 8.9/20, 9.5/20
0.3 mL/minUV 225 nmdegradation study[34]
Amlodipine
Benazepril
combined tabletsBEH C8 (100 × 2.1 mm, 1.7 μm)A-phosphate buffer pH3
B-acetonitrile, methanol (1:1, v/v); A:B (45:55, v/v)
0.3 mL/minUV 237 nmdifferent columns tests[35]
Atorvastatintablets,
substance
Zorbax Extended C18
(50 × 3.0 mm, 1.8 µm)
A-acetonitrile; B-phosphoric acid
Gradient: 0.01/50, 8/90, 10.1/10
0.5 mL/minUVassay[36]
FosinoprilsubstanceHSS C18 (100 × 2.1 mm, 1.8 µm)A-phosphate buffer; B-acetonitrile; Gradient: 0.01/20, 12/80, 20/80, 20.2/20, 25/200.1 mL/minUV 205 nmmonitoring during production; degradation study; detection of impurities[37]
Olmesartan Amlodypine HydrochlortiazidetabletsZorbax SB Phenyl
(50 × 2.1 mm, 1.8 μm)
A-0.053 M sodium perchlorate, acetonitrile (90:10, v/v)
B-0.053 M sodium perchlorate acetonitrile (10:90, v/v)
Gradient: 0/10, 2/50, 4/80, 6/10
0.7 mL/minUV 271, 215,
237 nm
combined tablet; degradation study[38]
Atorvastatin Fenofibratecombined tabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-acetate buffer; B-acetonitrile; Gradient: 0/50, 1/70, 1.4/85, 2.2/500.5 mL/minUV 247 nmdetection of impurities[39]
Bisoprolol Hydrochlortiazidecombined tablets,
urine
BEH C18 (50 × 2.1 mm, 1.7 μm)A-acetonitrile; B-phosphoric buffer
Gradient: 0/85, 0.6/80, 1.4/40
0.7 or 0.9 mL/minUV 225 nmassay[40]
Amlodipine
Atorvastatin
tabletsKromasil C18, (50 × 2.1 mm, 3.5 μm)A-acetonitrile; B-triethylamine
Gradient: 0/30, 0.5/36, 1.3/60, 2.05/30
0.8 mL/minUV 240 nmdegradation study[41]
Telmisartan Amlodipine HydrochlorotiazidetabletsBEH C18 (100 × 2.1 mm, 1.7 µm)A-0.053 M sodium perchlorate, acetonitrile (90:10, v/v)
B-0.053 M sodium perchlorate, acetonitrile (20:80, v/v)
Gradient: 0/5, 1.2/5, 1.6/40, 4/40, 4.1/5, 4.5/5
0.6 mL/minUV 237, 271 nmassay[42]
MoxonidinetabletsC18 Hypersil Gold
(100 × 2.1 mm, 1.9 µm)
A-methanol; B-ammonium acetate buffer
(10 mM, pH3.43); A:B (0.9:99.1, v/v) or (6:94, v/v)
0.87 mL/minUV 255 nm;
MS
degradation study[43]
SimvastatintabletsBEH C18 (100 × 2.1 mm, 1.7 µm)A-acetonitrile; B-ammonium acetate
Gradient: 0–5/50–0, 5.5/0, 5.6/50
0.8 mL/minMSassay; differences in product series[44]
TiclopidinetabletsZorbax SB-C18
(50 × 4.6 mm, 1.8 µm)
A-methanol; B-0.01 M ammonium acetate
buffer pH5; A:B (80:20, v/v)
0.8 mL/minUV 235 nmdegradation study[45]
TelmisartansubstanceBEH C18 (150 × 2.1 mm, 1.7 μm)A-acetonitrile; B-water; A:B (70:30, v/v)0.2 mL/minUV 230 nmdegradation study[46]
Metoprolol Atorvastatin
Ramipril
combined tabletsZorbax XDB-C18
(50 × 4.6 mm, 1.8 μm)
A-0.0045 M sodium lauryl sulfate; B-acetonitrile
A:B (50:50 v/v)
1.0 mL/minUV 210 nmassay[47]
RosuvastatintabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-0.1% trifluoroacetic acid; B-acetonitrile
Gradient: 0/55, 3.5/60, 6.5/85, 7.5/85, 7.6/55, 10/55
0.3 mL/minUV 240 nmdegradation study; identification of degradation products[48]
Bisoprolol AmlodypinesubstanceB CSH C18 (50 × 2.1 mm, 1.7 μm)A-phosphate buffer; B-acetonitrile
Gradient: 0–10/10–90
0.5 mL/minUVcomputer simulation[49]
RivaroxabantabletsEclipse Plus C18
(2.1 × 50 mm, 1.8 μm)
A-water adjusted to pH4 with ammonium hydroxide
B-acetonitryl; A:B (63:37 v/v)
0.2 mL/minQTOF-MSdegradation study; identification of degradation products[50]
TelmisartansubstanceBEH C18 (100 × 2.1 mm, 1.7 μm)A-potassium phosphate
B-acetonitrile, methanol, water (7.5:1.5:1.0) v/v/v)
Gradient: 0/55, 4/55, 5/70, 7.5/70, 7.7/55, 8/55
0.33 mL/minUV 235 nmdegradation study; analysis of impurities[51]
PerindoprilltabletsPoroshell 120 Hilic
(4 × 150 mm, 2.7 μm)
A-acetonitrile; B-0.1% formic acid; A:B (20:80 v/v)1.0 mL/minUV 230 nmSeparation of cis and trans isomers; degradation study[52]
Enalapril HydrochlorotiazidetabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-phosphoric acid; B-acetonitrile
Gradient: 0/5, 2/20, 4/60, 5/60, 6/5
0.5 mL/minUV 210 nmdegradation study[53]
Oxprenolol
Metoprolol
Acebutolol
Atenolol
Propranolol
Pindolol
Alprenolol
substanceBEH C18 (100 × 2.1 mm, 1.7 μm)A-0.1% trifluoroacetic acid in water
B-0.1% trifluoroacetic acid in acetonitryl
Gradient: 0–10/20–50
0.5 mL/minUV 270 nm;
MS;
NMR
comparison of various detectors[54]
Perindopril IndapamidetabletsBEH C18 (50 × 2.1 mm, 1.7 μm)A-0.01% formic acid in water pH4
B-acetic acid, acetonitrile (40:60 v/v); Gradient: 0.01/15, 2.5/30, 7/30, 9/70, 10/70, 11/15, 13/15
0.3 mL/minUV 227 nmdegradation study[55]
Rivaroxaban
Enalapril
plasmaBEH C18 (50 × 2.1 mm, 1.7 μm)A-acetonitrile; B-0.1% formic acid
Gradient: 0–0.5/80–5, 0.5–2.9/5 2.9–3/5–80, 3–4/80
0.3 mL/minMSpharmacokinetics study; interactions[56]
Atorvastatin Acetylosalicylic acid
Clopidogrel
combined capsulesEclipse plus C18
(100 × 2.1 mm, 1.7 μm)
A-20 mM anhydrous KH2PO4 buffer containing 0.2% triethylamine pH2.7 with o-phosphoric acid
B-acetonitrile; A:B (55:45, v/v)
0.3 mL/minDAD
240, 220 nm
Comparison with HPLC; analysis of impurities[57]
AzilsartantabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-0.1% o-phosphoric acid in water pH3B-acetonitrile; Gradient: 0/35, 5/60, 7/60, 7.1/35, 10/350.5 mL/minUV 215 nmassay[58]
Amlodipine
Olmesartan
combined tabletsBEH C8 (100 × 2.1 mm, 1.7 μm)A-0.1% orthophosphoric acid in water; B-acetonitrile
Gradient: 0/22, 6/35, 10/60, 11.5/70, 12/70, 12.5/22, 15/22
0.5–0.7 mL/minUV 237 nmdegradation study; analysis of impurities[59]
DabigatrancapsulesHSS-T3 (100 × 2.1 mm, 1.8 μm)A-0.1% orthophosphoric acid in water pH3.5 with triethyl amine; B-acetonitril
Gradient: 0/20, 12/60, 12.1/60, 15/60, 15.1/20, 18/20
0.18 mL/minUV 290 nmdegradation study; analysis of impurities[60]
Perindopril
Amlodipine
combined tabletsAgilent SD C18
(50 × 3.0 mm, 1.8 μm)
A-0.1% perchloric acid; B-acetonitrile
Gradient: 0.01/15, 2.5/30, 6/34, 8.5/60, 12/90, 12.5/90, 13/15, 15/15
0.8 mL/minUV 215 nmdegradation study; analysis of impurities[61]
Perindopril
Indapamide
tabletsAgilent SB 18 (50 × 3.0 mm, 1.5 μm)A-0.1% perchloric acid; B-acetonitrile
Gradient: 0.01/15, 2.5/30, 7/30, 9/70, 10/70, 11/15, 13/15
0.8 mL/minUV 215 nmdegradation study; analysis of impurities[62]
IndapamidesubstanceAcquity HSS T3
(100 × 2.1 mm, 1.8 μm)
A-water with 0.1% formic acid
B-acetonitrile with 0.1% formic acid
Gradient: 0/10, 2/10, 8/50, 9/50, 10/80, 11/80, 12/10, 15/10
0.5 mL/minUV 274 nm;
MS
degradation study[63]
Lenvatinib
Telmisartan
substance,
plasma
X Select HSS T3
(100 × 2.1 mm, 2.5 μm)
A-water with 0.1% formic acid and 5 mM ammonium acetate; B-acetonitrile with 0.1% formic acid
Gradient: 2/60, 2–3/60–90, 3–4/90, 4–4.1/910–60, 4.1–5.1/60
0.25 mL/minMS-MSassay[64]
Table 2. UPLC technique in the analysis of NSAIDs and antibiotics.
Table 2. UPLC technique in the analysis of NSAIDs and antibiotics.
Active SubstanceSampleColumnMobile Phase
(Gradient: Time [min]/%B)
Flow RateDetectionCommentsRef
Diclofenacgel, substanceBEH C18 (50 × 2.1 mm, 1.7 μm)
BEH C18 (100 × 2.1 mm, 1.7 μm)
A-methanol; B-phosphoric acid pH2.5
A:B (65:35, v/v)
0.4 or 0.45 mL/minUV 254 nmpollutants study; comparison of various columns[69]
Ibuprofen
Diphenhydramine
combined tabletsBEH C18 (50 × 2.1 mm, 1.7 μm)A-0.1% triethylamine buffer pH3.2 with phosphoric acid, acetonitrile (80:20, v/v)
B-0.1% triethylamine buffer pH3.2 with phosphoric acid, acetonitrile (50:50 v/v)
Gradient: 0/0, 7.5/50, 17/50, 17.5/0, 20/0
0.4 mL/minUV 220 nmdegradation study[70]
NabumetontabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-5 mM ammonium acetate
B-acetonitrile; A:B (25:75, v/v)
0.3 mL/minUV 230 nmassay[71]
Ketoprofenmicrodialyzate, human skinBEH C18 (100 × 2.1 mm, 1.7 μm)A-acetonitrile; B-methanol; C-water
A:B:C (60:20:20, v/v/v)
0.3 mL/minUV 255 nm;
MS
assay (very high sensitivity)[72]
NaproxentabletsBEH C18 (50 × 4.6 mm, 1.7 μm)A-dihydrophosphate buffer, methanol (90:10, v/v); B-methanol, acetonitryl (50:50, v/v)
Gradient: 0.01/20, 2/30, 5/50, 6/70, 8.5/70, 9.5/20, 11/20
0.3 mL/minUV 260 nmdegradation study[73]
LevofloxacintabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-buffer (20 mM KH2PO4 + 1 mL triethylamine in 1 L of water pH2.5 with orthophosphoric acid
B-acetonitrile; A:B (77:23 v/v)
0.4 mL/minUV 294 nmdegradation study[74]
Sparfloxacinsubstance,
tablets,
eye drops
HSS T-3 (100 × 2.1 mm, 1.8 μm)A-orthophosphoric acid; B-water
Gradient: 1/10, 2/10, 3/25, 4/10, 5/10
0.5 mL/minUV 290 nmassay[75]
Isoniazid
Pirazynamide Rifampicin
combined tabletsShield RP18 (50 × 2.1 mm, 1.7 μm)A-50 mM phosphate buffer; B-acetonitrile
Gradient: 0–0.3/2, 0.3–1/2–40, 1–1.2/40, 1.2–1.7/40–2
1.0 or 1.5 mL/minUV 254 nmassay; column testing at different temperatures[76]
MoxifloxacinetabletsHSS C-18 (100 × 2.1 mm, 1.8 μm)A-phosphate buffer; B-methanol; C-acetonitrile
A:B:C (60:20:20, v/v/v)
0.3 mL/minUV 296 nmdegradation study[77]
Doripenem Meropenem TebipenemsubstanceKinetex C18
(100 × 2.1 mm, 1.7, 2.6, 5 µm)
A-acetonitrile; B-ammonium acetate
A:B (4:96 or 10:90 or 7:93, v/v)
0.5 or 1.0 mL/minUV 298 nmdegradation study[78]
CefuroximtabletsKinetex C-18
(100 × 2.1 mm, 1.7 µm)
A-0.1% formic acid; B-methanol
A:B (88:12, v/v)
0.7 mL/minUV 278 nm;
MS
determination of diastereomers in crystalline, amorphous and tablet form; degradation study[79]
Ceftalozone
Tazobactam
plasmaBEH-Shield RP18 (100 × 2.1 mm, 1.7 μm)A-0.1% formic acid in water
B-0.1% formic acid in acetonitrile
Gradient: 0–0.5/2, 0.5–2/2–50, 2–2.5/50–98
0.4 mL/minMS TQDassay[80]
Amoxicillin
Clavulanate
tabletsACQUITY BEH C18 (50 × 2.1 mm, 1.7 μm)A-buffer solution pH4.4; B-methanol
A:B (98:2, v/v)
0.1 mL/minUV 220 nmcomparison with HPLC[81]
Acetaminophen
Tramadol
tabletsHSS T3 (100 × 2.1 mm, 1.8 μm)A-0.1% perchloric acid in water; B-acetonitrile
Gradient: 0/10, 4/10, 8/15, 15/25, 25/35, 25.1/10
0.5 mL/minUV 215 nmdegradation study, analysis of impurities[82]
Diclofenac
Paracetamol
Camylofin
combined tabletsHSS C18 (50 × 2.1 mm, 1.8 μm)A-20 mM ammonium acetate buffer pH3
B-methanol; A:B (33:67, v/v)
0.25 mL/minUV 220 nmdegradation study; transferred from HPLC[83]
Paracetamol
Ibuprofen
combined tabletsBEH C18 (100 × 2.1 mm, 1.7 µm)A-0.01% aqueous triethylamine pH7
B-methanol
Gradient: 0–2.5/2, 2.5–4.5/2–50, 4.5–7/50–98
0.2 mL/minUV DAD230 nmcomparison with HPLC; analysis of impurities[84]
Naproxengelatin capsulesBEH C18 (100 × 2.1 mm, 1.7μm)A-0.1% orthophosphoric acid in water pH3
B-acetonitrile
Gradient: 0/35, 3/35, 10/70, 10.5/35, 13/35
0.5 mL/minUV 230 nmdegradation study; analysis of impurities[85]
Ibuprofenhuman plasmaBEH Phenyl (150 × 2.1 mm, 1.7 µm)A-10 mM ammonium acetate with 0.1% formic acid in water
B-10 mM ammonium acetate with 0.1% formic acid in acetonitrile, methanol (64:36, v/v)
Gradient: 0–12/65, 12.1–14/65–100
0.2–0.5 mL/minMS/MSdegradation study; transferred from HPLC[86]
CefuroximinjectionsShim-pack XR-ODS (75 × 3 mm, 2.2 μm)A-acetonitrile; B-formic acid
A:B (70:30, v/v)
0.3 mL/minMS/MSanalysis of impurities[79]
Ibuprofen
Pseudoephedrine
Chlorpheniramine
tabletAcquity BEH (50 × 2.1 mm, 1.7 μm)A-0.1% formic acid in water
B-0.1% formic acid in methanol
Gradient: 1/5, 2/5–80, 1/80
0.3 mL/minMSassay[87]
AmoxicillintabletBEH C18 (100 × 2.1 mm, 1.7 μm)A-phosphate buffer pH5; B-methanol
A:B (95:5, v/v)
0.3 mL/minUV 230 nmassay[88]
IbuprofensubstanceAccucore XL C18 (150 × 4.6 mm, 4 μm)A-water with 1% chloroacetic acid pH3
B-acetonitrile; A:B (40:60, v/v)
2.0 mL/minUV 254 nmdetermination of impurities[89]
Antibiotics 1substance,
plasma
Acquity HSS T3 (50 × 2.1 mm, 1.8 μm)A-water with 0.1% formic acid
B-acetonitrile with 0.1% formic acid
Gradient: 0/0, 3.6/85.5, 3.601/95, 4.1/95, 4.11–5.5/0
0.3 mL/minMS-MSassay[90]
Ibuprofen
Famotidine
tabletAcquity BEH C-18 (50 × 2.1 mm, 1.7 μm)A-50 mM sodium acetate buffer pH5.5
B-methanol; A:B (25:75, v/v)
0.3 mL/minUV 260 nmassay[91]
Lansoprazole
Naproxen
substance,
tablet
Phenomenex Luna C18 (250 × 4.6 mm, 5 μm)A-methanol; B-water; A:B (8:2, v/v)1.0 mL/minPDAassay[92]
NSAIDs 2preparationsHypersil Golden C18A-5 mM ammonium formate
B-methanol; Gradient
0.2 mL/minMS-MSassay[93]
Diclofenacsubstance, tabletAcquity BEH C18 (50 × 2.5 mm, 1.7 μm)A-0.05 M acetate buffer pH2.5
B-acetonitrile; A:B (50:50, v/v)
0.5 mL/minPDA 254 nmdegradation study[94]
1 Amoxicillin, Aztreonam, Cefazolin, Cefepime, Cefotaxime, Cefoxotin, Ceftazidine, Ciprofloxacin, Clindamycin, Dapomycin, Ertapenem, Linezolid, Meropenem, Ofloxacin, Piperacillin. 2 Acetaminophen, Acetylsalicylic acid, Aminopyrine, Meloxicam, Ibuprofen, Naproxen, Nimesulide, Diclofenac, Indomethacin, Ketoprofen, Celecoxib.
Table 3. UPLC technique in the analysis of antipsychotics, antidepressants, and drugs used in diseases of the nervous system.
Table 3. UPLC technique in the analysis of antipsychotics, antidepressants, and drugs used in diseases of the nervous system.
Active SubstanceSampleColumnMobile Phase
(Gradient: Time [min]/%B)
Flow RateDetectionCommentsRef
PaliperidontabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-phosphate buffer; B-acetonitrile, water (9:1, v/v)
Gradient: 0.01/16, 6/16
0.45 mL/minUV 238 nmdegradation study[118]
VenlafaxinecapsulesBEH C18 (100 × 2.1 mm, 2.0 μm)A-dipotassium hydrogen phosphate
B-acetonitrile; A:B (30:70, v/v)
0.75 mL/minUV 227 nmassay[119]
Olanzapinetablets,
substance
BEH C18 (100 × 2.1 mm, 1.7 µm)A-triethylamine buffer pH6.8, acetonitrile, methanol (50:20:30, v/v/v); B-water, acetonitrile (10:90, v/v)
Gradient: 0.01/0, 5/20, 6.5/90, 8/100, 9/0, 10/0
0.3 mL/minUV 250 nmdegradation study; analysis of impurities; comparison with HPLC[120]
Quetiapine
Aripiprazole Perospirone
substanceBEH C18 (100 × 2.1 mm, 1.7 μm)A-acetonitrile; B-ammonium acetate
A:B (62:38, v/v)
0.3 mL/minMSassay[121]
DuloxetintabletsZorbax XDB C-18 (50 × 4.6 mm, 1.8 μm)A-0.01 M KH2PO4 buffer pH4, tetrahydrofuran, methanol (67:23:10, v/v/v)
B-0.01 M KH2PO4 buffer pH4, acetonitrile (60:40 v/v)
Gradient: 0/0, 6/0, 8/100, 13/100, 14/0, 16/0
0.6 mL/minUV 236 nmdegradation study[122]
QuetiapinetabletsAgilent Eclipse Plus C18 (50 × 2.1 mm, 1.8 μm)A-triethylamine in water pH7.2
B-acetonitrile, methanol (80:20, v/v)
Gradient: 0/30, 0.5/30, 3/95, 4/95, 4.1/30, 5/30
0.5 mL/minUV 252 nmdetermination of impurities[123]
AripiprazoletabletsBEH C8 (50 × 2.1 mm, 1.7 μm)A-acetonitrile; B-20 mM ammonium acetate
A:B (90:10, v/v)
0.25 mL/minUV 240 nmcomparison with HPLC[124]
QuetiapineplasmaBEH Phenyl (50 × 2.1mm, 1.7 µm)A-10 mM ammonium acetate with 0.3% formic acid in water; B-acetonitrile; A:B (70:30, v/v)0.5 mL/minMSbioequivalence study[125]
RopiniroltabletsBEH C8 (100 × 2.1 mm, 1.7 μm)A-phosphate buffer, acetonitrile (90:10, v/v)
B-phosphate buffer, acetonitrile (50:50, v/v)
Gradient: 0.01/55, 1.7/55, 2.9/98, 3.5/98, 3.6/55, 4.5/55
0.27 mL/minUV 250 nmdegradation study; analysis of impurities; comparison with HPLC[126]
LevetiracetambloodBEH C18 (100 × 2.1 mm, 1.7 μm)A-acetonitrile; B-0.01 M phosphate buffer
A:B (10:90, v/v)
0.2 mL/minUV 215 nmdifferent ways of the extraction[127]
PiracetamsubstanceBEH C18 (150 × 2.1 mm, 1.7 μm)A-acetonitrile; B-water
A:B (25:75 v/v)
0.15 mL/minUV 210 nmdegradation study; comparison with HPLC[128]
EntacaponetabletsHSS C18 (50 × 2.1 mm, 1.8 μm)A-acetonitrile; B-water
A:B (43:57, v/v)
0.5 mL/minUV 225 nmdegradation study; comparison with HPLC[129]
Antidepressants 1dosage formBEH C18 (50 × 2.1 mm, 1.7 μm)A-acetonitrile; B-10 mM ammonium acetate
Gradient: 0/45, 1.75/70, 2.5/80, 3.8/80, 3.9/45, 5/45
0.3 mL/minUV 215 nmassay[130]
BrexpiprazoletabletsBEH C18 (50 × 2.1 mm, 1.7 μm)A-buffer (10 mM KH2PO4 pH2); B-acetonitile
A:B (67:33, v/v)
0.5 mL/minUV 215 nmdegradation study[131]
Haloperidolsubstance, tabletCSH fluorophenyl (150 × 2.1 mm, 1.7 μm)A-0.1% fluoroacetic acid with 10 mM ammonium acetatein water; B-acetonitrile, methanol (80:20, v/v)
Gradient: 0/20, 15/40, 19.5/20, 23/20
0.3 mL/minUV 246, 220 nmstability tests; photodegradation study[132]
1 Venlafaxine, Escitalopram, Fluoxetine, Candesartan, Risperidone, Trihexyphenidyl, Thioridazine, Aripiprazole, Trifluoperazine.
Table 4. UPLC technique in the analysis of other drugs from various therapeutic groups.
Table 4. UPLC technique in the analysis of other drugs from various therapeutic groups.
Active SubstanceSampleColumnMobile Phase
(Gradient: Time [min]/%B)
Flow RateDetectionCommentsRef
Tramadolsolution for injectionsBEH C18 (100 × 2.1 mm, 1.7 μm)A-0.2% trifluoroacetic acid buffer B-methanol, acetonitrile (75:25, v/v)
Gradient: 0/20, 15/60, 16/20, 20/20
0.2 mL/minUV 275 nmstability test after reconstitution in saline and glucose[149]
Lansoprazolecapsules, suspensionsBEH C18 (100 × 2.1 mm, 1.7 μm)A-water; B-acetonitrile with 0.1% formic acid
A:B (60:40 v/v)
0.2 mL/minMS,
TOF-MS
stability testing[150]
ImatynibplasmaBEH Shield RP18 (50 × 2.1 mm, 1.7 μm)A-ammonium formate in waterB-acetonitrile, 0.1% formic acid
Gradient: 0/2, 0.5/2, 0.5–2.5/2–50, 2.5–3/50–90,3–4.5/90
0.4 mL/minMS/MSassay[151]
Clenbuterol Terbutalin
Salbutamol
Fenoterol
Genistein
Daidzein
Tamoxifen
Ephedrine Pseudoephedrine
substanceAcquity RP (50 × 1.0 mm, 1.7 μm)A-acetonitrile; B-0.1% formic acid
A:B (40:60, v/v)
0.2 mL/minMScomparison with HPLC[152]
Amphetamine MethamphetamineurineBEH C18 (50 × 2.1 mm, 1.7 μm)A-ammonium formate; B-methanol Gradient: 0–0.15/5, 0.15–0.3/5–30, 0.3–2/30–40, 2–3/40–50, 3–4.2/50–98, 4.2–5.2/98, 5.2–5.4/98–5, 5.4–5.8/50.4 mL/minMS/MSassay[153]
AzathioprinesubstanceBEH C18 (100 × 2.1 mm, 1.7 μm)A-0.05% trifluoroacetic acid in water; B-acetonitrile
Gradient: 0/3, 1/3, 3.5/60, 4/60, 4.1/3, 5/3
0.35 mL/minUV 220 nmassay[154]
RanitidinesubstanceBEH C18, C8, phenyl, C18 Shield(100 × 2.1 mm, 1.7 μm)A-ammonium bicarbonate; B-methanolGradient: 0/4, 1/16, 4/36, 7/900.45 mL/minUV 230 nm;
MS
degradation study; comparison of different columns and eluents; comparison with HPLC[155]
Dienogest
Finasterid
Gestodene Levonorgestrel Estradiol Ethinylestradiol
substanceBEH C18 (50 × 2.1 mm, 1.7 μm)A-acetonitrile; B-water; A:B (48:52, v/v)0.55 mL/minUV 210 nmpurity testing[156]
Caffeine
Theobromine
Theophilline
tabletsBEH C18 (2.1 × 50 mm, 1.7 μm)A-ammonium acetate; B-acetonitrile
Gradient: 0–1/5, 2–2.5/20, 3–3.5/80
0.6 mL/minUV 275 nmassay in dietary supplements[157]
DantrolensubstanceBEH C18 (50 × 2.1 mm, 1.7 μm)A-2.5 mM sodium acetate buffer pH4.5
B-acetonitrile; A:B (75:25, v/v)
0.5 mL/minUV 375 nm;
MS; NMR
degradation study[158]
MesalazinetabletsBEH C18 (50 × 2.1 mm, 1.7 µm)A-buffer pH2.2; B-buffer pH6, methanol,
acetonitrile (890:80:30, v/v/v)
Gradient: 0/10, 3/10, 13/90, 13.1/10, 15/10
0.7 mL/minUV 220 nmassay[159]
Sitagliptine
Metformin
combined tabletsBEH C8 (100 × 2.1 mm, 1.7 µm)A-phosphoric acid; B-acetonitrile
Gradient: 0/8.0, 2/8.0, 4/45, 6/45, 8/8, 10/8
0.2 mL/minUV 210 nmassay[160]
RanolazinetabletsBEH RP18 (100 × 2.1 mm, 1.7 μm)A-acetonitrile, phosphate buffer pH7.3, triethylamine (10:90:0.1, v/v/v)
B-acetonitrile, phase A (55:45, v/v)
Gradient: 0.01/17, 1.5/17, 3.5/45, 5.5/60, 8/65, 12/70, 13/95, 15/95, 15.5/17, 18/17
0.3 mL/minUV 223 nmdegradation study[161]
DarifenacintabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-triethylamine + phosphate buffer (1:1000, v/v), acetonitrile (80:20, v/v)
B-triethylamine + phosphate buffer (1:1000, v/v), acetonitrile (15:85, v/v)
Gradient: 0/15, 2/15, 10/50, 14/74, 14.1/15, 15/15
0.3 mL/minUV 210 nmassay[162]
Cyanocobalamin (vitamin B12)substanceBEH C18 (50 × 1.0 mm, 1.7 μm)A-0.1% trifluoroacetic acid in water
B-0.1% trifluoroacetic acid in acetonitrile
Gradient: 0–0.25/5, 0.25–2.5/5–40, 2.5–3/40, 3–3.5/40–5
0.32 mL/minUV 254 nmassay[163]
Bicalutamidetablets, substanceHSS T3 (100 × 2.1 mm, 1.8 μm)A-0.001 M sodium dihydrogen orthophosphate pH6 with sodium hydroxide
B-acetonitrile, phase A (90:10, v/v)
Gradient: 0/28, 26/55, 29.3/55, 31.3/28, 34/28
0.5 mL/minUV 220 nmdegradation study; analysis of impurities[164]
ImatinibtabletsBEH C18 (50 × 2.1 mm, 1.7 μm)A-0.05 M ammonium acetate pH9.5
B-acetonitrile, methanol (40:60, v/v)
Gradient: 0.01/42, 5/42, 7/80, 8/42, 9/42
0.3 mL/minUV 237 nmdegradation study[165]
Triamcinolone
Hydrocortisone
Indometacin
Etradiol
creams,
gels
BEH C18 (2.1 × 50 mm, 1.7 μm)A-acetonitrile; B-water; A:B (40:60, v/v)0.6 mL/minUV 240 nmassay[166]
LanzoprasoletabletsBEH-C18 (50 × 2.1 mm, 1.7 μm)A-8 mL triethylamine in 20 mM KH2PO4 buffer pH7 with orthophosphoric acid, methanol (90:10, v/v/v)
B-methanol, acetonitrile (50:50, v/v)
Gradient: 0.01/20, 2/30, 5/50, 6/70, 8.5/70, 9.5/20, 11/20
0.3 mL/minUV 285 nmdegradation study[167]
ErythropoietinsubstanceBEH C18 (50 × 2.1 mm; 1.7 μm)A-0.1% trifluoroacetic acid in water B-0.1% trifluoroacetic acid in acetonitrile
Gradient: 0/15, 0.12/15, 0.33/30, 0.62/36, 2.62/65, 3.19/100, 3.76/15, 4.05/15
0.35 mL/minUV 210 nmassay in human serum albumin; comparison with HPLC[168]
Topotecansolution for injections,
substance
BEH C18 (50 × 2.1 mm, 1.7 μm)A-0.1% orthophosphoric acid in water
B-acetonitrile
Gradient: 0/10, 0.5/10, 1/20, 2/20, 3/10, 4/10
0.4 mL/minUV 260 nmassay[169]
BortezomibsubstanceULTRAFAST Shimpack XR-ODS-II (100 × 3 mm, 2.2 μm)A-potassium dihydrogen phosphate buffer
B-acetonitrile
Gradient: 0/20, 2/30, 5/50, 6/70, 8/20, 10/20
0.6 mL/minUV 270 nm;
MS
analysis of impurities[170]
TramadoltabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-potassium dihydrogen phosphate buffer
B-acetonitrile; A:B (60:40 v/v)
0.5 mL/minUV 226 nmdegradation study[171]
Tolterodinetablets, serum,
urine
BEH C18 (100 × 2.1 mm, 1.7 μm)A-0.025% trifluoroacetic acid in waterB-0.025% trifluoroacetic acid in acetonitryl
Gradient: 0/30, 4/80, 6/80, 6.1/30
0.3 mL/minUV 220 nmassay[172]
Bambuterol MontelukasttabletsBEH C18 (100 × 2.1 mm, 1.7 μm)A-0.025% trifluoroacetic acid in waterB-0.025% trifluoroacetic acid in acetonitrile
Gradient: 0/30, 1.5/40, 3/90, 6/90, 6.1/30
0.3 mL/minUV 210 nmassay[173]
Uracil Chlorphromazine Imipramine
Clozapin
Diltiazem
Bifonazole
substanceBEH C18 (50 × 2.1 mm, 1.7 μm)A-0,1% formic acid in water; B-acetonitrile
Gradient: 0/5, 1/90, 1.1/5, 2/5
0.3 mL/minMSsolubility testing in various media; comparison with HPLC[174]
TerbutalinesubstancePhenomenex luna C18 (150 × 2.0 mm, 3 μm)A-ammonium formate buffer; B-methanol
Gradient: 0–6/5, 6–15/5–30, 15–20/30–80, 20–23/80–90, 23–23.1/90–5
0.3 mL/minQTOF-MSdegradation study; in silico toxicity tests[175]
EsomeprazoleplasmaBEH C18 (50 × 2.1 mm, 1.7 μm)A-acetonitrile with 0,1% formic acid
B-ammonium formate with water
Gradient: 0–0.7/80, 0.8–1.7/80–20, 1.8–2.3/20, 2.4–3/20
0.4 mL/minQTOF-MSpharmacokinetics study[176]
Abiraterone
Letrozole
Anastrozole Bicalutamid
plasmaBEH C18 (50 × 2.1 mm, 1.7 μm)A-0.1% formic acid in water
B-acetonitrile, methanol (50:50, v/v)
Gradient: 0–4/45, 4–5/100, 5–6/45
0.6 mL/minMSassay[177]
Pseudoephedrine
Chlorpheniramine Ibuprofen
tabletAcquity BEH (50 × 2.1 mm, 1.7 μm)A-0.1% formic acid in water
B-0.1% formic acid in methanol
Gradient: 1/5, 2/5–80, 1/80
0.3 mL/minMSassay[87]
Hydrocortisone Tinidazolesubstance, vaginal tablet, creamAcquity Eclipse plus C18 (100 × 2.1 mm, 1.7 μm)A-0.02 M anhydrous KH2PO4 (with 0.2% triethylamine) pH6 with orthophosphoric acid
B-acetonitrile
Gradient: 0/50, 2/70, 5.6/70, 5.7/50, 7/50
0.3 mL/minUV 225, 295 nmdetermination of impurities[106]
Lenvatinib
Telmisartan
substance,
plasma
X Select HSS T3 (100 × 2.1 mm, 2.5 μm)A-water with 0.1% formic acid and 5 mM ammonium acetate
B-acetonitrile with 0.1% formic acid
Gradient: 2/60, 2–3/60–90, 3–4/90, 4–4.1/910–60, 4.1–5.1/60
0.25 mL/minMS-MSassay[64]
Venetoclaxhuman plasmaAcquity BEH (100 × 2.1 mm, 1.8 μm)A-0.1% formic acid in water; B-acetonitrile
Gradient: 0–0.3/5, 0.3–2/5–95, 2–2.5/95, 2.5–2.6/95–5, 2.6–4/5
0.4 mL/minMS-MSassay[178]
Actinomycin Dsubstance,
brain tissue, plasma
Peptide C18 (50 × 2.1 mm, 1.7 μm)A-5% acetonitrile in water with 0.1% formic acid
B-acetonitrile with 0.1% formic acid
Gradient: 0–0.5/40, 0.5–2/40–100
0.5 mL/minMS-MSmicrodialysis model[179]
Famotidine IbuprofentabletAcquity BEH C-18 (50 × 2.1 mm, 1.7 μm)A-50 mM sodium acetate buffer pH5.5
B-methanol; A:B (25:75, v/v)
0.3 mL/minUV 260 nmassay[91]
Glucagonfor injectionAcquity BEH 300 C-18 (100 × 2.1 mm, 1.7 μm)A-phosphate buffer pH2.7 (with phosphoric acid)
B-acetonitrile, water (4:6, v/v); A:B (65:35, v/v)
0.4 mL/minUV 214 nmstability study[180]
Lansoprazole
Naproxen
substance,
tablet
Phenomenex Luna C18 (250 × 4.6 mm, 5 μm)A-methanol; B-water; A:B (8:2, v/v)1.0 mL/minPDAassay[92]
Glucocorticoids 1
Clobetasol
Beclomethasone
Flucinonide
Desonide
tabletHSS T3 (100 × 2.1 mm, 1.8 μm)A-0.1% formic acid with 5 mM ammonium formate in water; B-0.1% formic acid in acetonitrile
Gradient: 0–10/30–95, 10–15/95
0.2 mL/minQTOF-MSdetermination in dietary supplements[181]
Cathinones 2
Opiates
Cocaine/related compounds
Scopolamine
oral fluidAcquity BEH Shield RP18 (100 × 2.1 mm, 1.7 μm)A-0.1% formic acid in water
B-0.1% formic acid in acetonitrile
Gradient: 0–0.2/10, 3.5/70, 4/10
0.4 mL/minMS-MSassay[182]
1 Prednisolone, Prednisone, Riamocinolone acetonide, Dexamethasone, Hydrocortisone, Cortisone. 2 Morphine, 6-Monoacetylmorphine, Cocaine, Cocaethylene, Benzoylecgonine, Methadone, Methylenedioxypyrovalerone, Mephedrone, Methylone, Buprenorphine, Naloxone, Pentedrone, Ethylone, Butylone, Ethylcathinone, Ethylcathinone ephedrine metabolite, Methylephedrine metabolite, Pyrovalerone, Flephedrone, Scopolamine.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Gumułka, P.; Żandarek, J.; Dąbrowska, M.; Starek, M. UPLC Technique in Pharmacy—An Important Tool of the Modern Analyst. Processes 2022, 10, 2498. https://doi.org/10.3390/pr10122498

AMA Style

Gumułka P, Żandarek J, Dąbrowska M, Starek M. UPLC Technique in Pharmacy—An Important Tool of the Modern Analyst. Processes. 2022; 10(12):2498. https://doi.org/10.3390/pr10122498

Chicago/Turabian Style

Gumułka, Paweł, Joanna Żandarek, Monika Dąbrowska, and Małgorzata Starek. 2022. "UPLC Technique in Pharmacy—An Important Tool of the Modern Analyst" Processes 10, no. 12: 2498. https://doi.org/10.3390/pr10122498

APA Style

Gumułka, P., Żandarek, J., Dąbrowska, M., & Starek, M. (2022). UPLC Technique in Pharmacy—An Important Tool of the Modern Analyst. Processes, 10(12), 2498. https://doi.org/10.3390/pr10122498

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop