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Article

A Simple Stability-Indicating UPLC Method for the Concurrent Assessment of Paracetamol and Caffeine in Pharmaceutical Formulations

1
Department of Pharmacy, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia
2
Department of Pharmaceutical Chemistry, College of Clinical Pharmacy, Imam Abdul Rahman Bin Faisal University, Dammam 34222, Saudi Arabia
3
Department of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 11942, Saudi Arabia
4
Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha 61421, Saudi Arabia
5
Department of Pharmaceutical Chemistry, College of Pharmacy, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 11942, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Separations 2023, 10(1), 50; https://doi.org/10.3390/separations10010050
Submission received: 10 December 2022 / Revised: 6 January 2023 / Accepted: 11 January 2023 / Published: 12 January 2023
(This article belongs to the Special Issue Analysis of Natural Products and Synthetic Drugs by HPLC or HPTLC)

Abstract

:
A fixed-dose combination of paracetamol (PCM) and caffeine (CAF) tablets/capsules is the most frequently used over-the-counter medicine for fever and headache. In this paper, a simple, reliable, sensitive, rapid, and stability-indicating ultra-performance liquid chromatography (UPLC) analytical method was proposed for simultaneously assessing PCM and CAF in pharmaceutical formulations. The UPLC method was developed on an Acquity UPLC® CSHTM C18 column, and the column oven temperature was maintained at 35 ± 5 °C with isocratic elution by using a solution of methanol and water (30:70, v/v). The maximum absorbance of PCM and CAF was observed at 272.5 nm. The flow rate was 0.2 mL/min, and the injection volume was 1 µL, with the total run time of 2 min for the separation of PCM and CAF. The proposed UPLC method was validated according to the ICH guidelines, and it demonstrated excellent linearity, with correlation coefficients of 0.9995 and 0.9999 over the concentration ranges of 40–400 and 7–70 ng/mL for PCM and CAF, respectively. The mean retention times of 0.82 ± 0.0 and 1.16 ± 0.02 were observed for PCM and CAF, respectively. The limits of detection and quantification were 16.62 and 3.86 for PCM, respectively, and 50.37 and 11.70 for CAF, respectively. PCM and CAF were subjected to acidic, alkali, oxidative, phytochemical, dry-heat, and wet-heat degradation. The method was found to well separate the analytes’ peaks from degradation peaks, with no alterations in retention times. The proposed method is linear, precise, accurate, specific, and robust, and it can indicate stability and be used for the quantitative assessment of pharmaceutical formulations comprising PCM and CAF within a short period of time.

1. Introduction

Currently, drug analysis is one of the utmost concerns in the pharmaceutical industry. It can assist in selecting the dosage form by determining the strength of the active pharmaceutical ingredients, and it can detect scums in preparations [1]. Moreover, drug analysis is applicable not only to pharmaceutical industries but also to quantitative estimations of prohibited or abused substances in doping cases [2,3]. Therefore, the quantitative determination of these ingredients in formulations and biological fluids can help optimize their utilization and evade their adverse effects [4].
Paracetamol (acetamenophen, PCM) is a frequently used over-the-counter medicine for headache, body ache, arthritis, toothache, and fever, and it is commercially available in different dosage forms [5,6,7,8] (Figure 1A). Caffeine (CAF), chemically known as 1,3,7-trimethyl xanthine, is a pseudo-alkaloid and is used as a psychoactive drug globally (Figure 1B) [9]. Other than this, CAF is used as a diuretic, CNS, and CVS stimulant [10], and it has potential antitumor activity [11]. The combination of PCM and CAF is most commonly used worldwide in clinical settings to treat conditions in humans, such as migraine headaches, a chronic and common disorder characterized by the recurrence of moderate-to-severe headaches, which mostly affect one side of the head; body aches; and fevers [12,13,14,15]. Thus, the qualitative and quantitative standardization of PCM and CAF in multicomponent drug formulations is required.
The literature has reported several analytical methods for concurrently estimating PCM and CFN in pharmaceutical formulations and body fluids. For simultaneously estimating PCM and CAF in several pharmaceutical formulations, many high-performance liquid chromatography (HPLC) methods are used [15,16,17,18,19,20,21,22]. Moreover, PCM and CAF are estimated in human body fluids by employing HPLC [23] and liquid chromatography–mass spectrometry [24] techniques. Several other techniques, including high-performance thin-layer chromatography [25,26,27], UPLC [6], several voltametric techniques [28,29,30], spectrophotometric methods [31,32], and FT-IR spectroscopy [33], are also used for the concurrent estimation of PCM and CAF. This study developed a new rapid, economical, specific, and stability-indicating UPLC method for the simultaneous assessment of PCM and CAF in formulations.

2. Results and Discussion

2.1. Analytical Method Optimization

Preliminary studies with various mobile phases were conducted to obtain the suitable eluent phase for the resolution and separation of PCM and CAF. The mobile phase was selected depending on the cost of the solvents, polarities, and the solubility of the standard. Several mobile phases in various quantities of solvents, such as isopropyl alcohol, acetonitrile, formic acid, methanol, and water, were studied. In the isocratic mode using a C18 column with an oven temperature of 35 °C maintained constant using a flow rate of 0.2 mL/min, methanol and water (30:70, v/v) provided high resolutions of PCM and CAF within the minimum retention time. Moreover, for PCM and CAF, the absorbance maximum was observed at 272.5 nm, when the spectrum indexes for PCM and CAF were recorded using the PDA mode (Figure 2). As a result, the assessment of PCM and CAF took place at 272.5 nm. The mean retention times of 0.82 ± 0.0 and 1.16 ± 0.02 were observed for PCM and CAF, respectively (Figure 3), within 2 min of the total runtime (Figure 4 and Figure 5). The assessing factors used for selecting the optimum UPLC conditions were the solvent’s cost effectiveness; shorter analysis time; the reproducibility of the retention times; and the separation of peaks from mixtures.

2.2. Method Validation

To assess the various parameters for the concurrent assessment of PCM and CAF, the ICH guidelines were used. The linearity of the procedure was assessed by studying the regression of the standard calibration curve. The linear coefficient regression analysis was found to be r2 0.9995 and 0.9999 for PCM and CAF, respectively (Figure 6 and Figure 7). The method showed the linearities of 40–200 and 7–70 ng/mL for PCM and CAF, respectively. These findings suggest the reliability of the UPLC method for the concurrent assessment of PCM and CAF. The LODs were 16.62 and 3.86 ng/mL for PCM and CAF, respectively, and the LOQs were 50.37 and 11.70 ng/mL for PCM and CAF, respectively (Table 1). These results indicate the method’s sensitivity for the concurrent assessment of both PCM and CAF. The accuracy of the proposed procedure was assessed by investigating recovery by employing the standard inclusion technique at three concentrations of standard PCM and CAF. Moreover, the mean recovery results were within 98.80–101.14%, and the % RSD was below the value specified by the ICH guidelines (Table 2). The precision of the ultra-performance liquid chromatography was examined, and it is presented as percentage RSD. Table 3 presents the precision results for the concurrent quantification of these ingredients using UPLC. The % RSDs of PCM and CAF for intra-day precision were 0.32–1.01 and 0.68–1.03, respectively, and those for inter-day precision were 0.91–1.30 and 0.75–1.02, respectively. This procedure was precise because the % RSD was <2. The robustness of the procedure was examined by slightly modifying the chromatographic settings. The small changes in the flow rate (±1) and wavelength (±2) did not adversely affect the proposed method. The robustness results showed no considerable differences after the modification of the chromatographic conditions. These results suggest that the proposed UPLC procedure exhibited a high robustness (Table 4).

2.3. Analytical Assays

The proposed UPLC procedure was used for simultaneously assessing PCM and CAF in formulations (tablets and capsules). The chromatograms of PCM and CAF from marketed tablets and capsules were identified by comparing the retention times of 0.82 ± 0.0 for PCM and 1.16 ± 0.02 for CAF with those of standard PCM and CAF using the UPLC procedure. Figure 5 summarizes the recorded chromatograms of PCM and CAF in the marketed tablets and capsules, which revealed that the chromatograms of PCM and CAF are similar to those of standard PCM and CAF in marketed tablets and capsules. To estimate the amounts of PCM and CAF in the tablets (Tab-1, Tab-2, and Tab-3) and the capsule (Cap-1), the samples were examined using the proposed procedure. The results are presented in Table 5. The obtained mean amounts of PCM and CAF are compared with their defined concentrations in Table 5. The amounts of PCM and CAF were within the recommended range of 90%–110% for the labeled quantity in the analyzed fixed-dose combination tablets and capsule [34].

2.4. Forced Degradation of PCM and CAF

Stressed sample solutions were prepared and assessed as described previously. The extent of degradation was calculated as % recoveries of several stressed sample solutions. The results for various stressed samples are presented in Table 6. The chromatograms of the degraded samples showed satisfactory separation and resolutions. The retention times of PCM and CAF did not considerably shift in the presence of degradation peaks, indicating the stability of the proposed method.
PCM showed complete loss upon exposure to 2 M HCl, 2 M NaOH, and 30% H2O2, and CAF exhibited considerable degradation in 2 M HCl and 30% H2O2 and complete loss in 2 M NaOH (Figure 8). Photolytic degradation was not substantial for PCM and CAF (Figure 9). The dry-heat samples did not show any additional peaks or substantial degradation. However, the wet-heat samples exhibited considerable degradation and two additional peaks, and the percentages of drug recovery were 96.78% and 93.66% for the stressed samples of PCM and CAF, respectively (Figure 10). The room-temperature sample did not show substantial degradation. Under all stress conditions, the retention times of PCM and CAF remained constant. Thus, the developed method is stable and can be employed to separate both PCM and CAF, even in the presence of degraded products. The analytes were estimated quantitatively, and the degradation products were separated, demonstrating the specificity of the UPLC procedure and its stability-indicating power.

2.5. Comparison with Reported Analytical Methods

To study performance, few chromatographic characteristics of the proposed UPLC method were compared with those of existing methods; the comparison is presented in Table 7. Several chromatographic characteristics, including run time, linearity range, and retention time, of the proposed procedure were in contrast with those of some published studies. However, the linearity range (PCM 40–400 ng/mL and CAF 7–70 ng/mL) of the proposed procedure is lower than that of the reported methods. The linearity ranges of the UPLC-MS method presented in the literature have been reported to be 0.05–250 for PCM and 0.01–5 µg/mL for CAF, which were also inferior to those of the UPLC method [24]. The run time of the proposed procedure is considerably short and, thus, highly satisfactory for the separation of PCM and CAF. For PCM and CAF, the retention times of 0.82 and 1.16 min, respectively, obtained using the proposed method are substantially less than those acquired using other methods, except for those reported by Jena et al. (2017). Jena et al. reported the retention times of 0.68 and 1.78 min for PCM and CAF, respectively; this retention time for CAF is higher than that obtained with the proposed UPLC method. Compared with that of the reported methods, the mobile phase composition of the current method is simple and does not use any buffer for separating PCM and CAF. The stability-indicating method proposed for concurrently assessing PCM and CAF is better than other published methods in terms of simplicity, precision, spontaneity, and robustness.

3. Materials and Methods

3.1. Materials

PCM and CAF (purity ≥ 99%) were purchased from Sigma Aldrich. Other HPLC-grade solvents used were procured from Chroma solve (Germany). Tablet and capsule formulations were obtained from a pharmacy in Rakkah, Dammam, Saudi Arabia.

3.2. Chromatographic Conditions

The analytical procedure was developed on a Waters UPLC by using a photodiode array (PDA) detector with a column oven. PCM and CAF were separated on a C18 column (1.7 µm, 2.1 × 50 mm) maintained at 35 ± 5 °C by using Empower software. A mixture of water and methanol (70:30, v/v) was used as the mobile phase, with an injection volume of 1 µL for isocratic elution at a flow rate of 0.2 mL/min and a detection wavelength of 273 nm.

3.3. Stock Solutions

Standard stock solutions of PCM and CAF (400 and 140 µg/mL, respectively) were prepared in a solution of water and methanol (70:30, v/v). Then, 1 mL of each standard of PCM and CAF was mixed to obtain the concentrations of 200 and 70 µg/mL, respectively. All the samples were filtered using 0.22 µm membrane filters.

3.4. Sample Preparation

Four pharmaceutical formulations were used as samples. Among these, two commercial tablets comprised PCM (500 mg) and CAF (65 mg), one tablet comprised PCM (500 mg) and CAF (30 mg), and one capsule comprised PCM (500 mg) and CAF (30 mg). These samples are denoted as Tab-1 (PCM: 500 mg and CAF: 30 mg), Tab-2 and Tab-3 (PCM: 500 mg and CAF: 65 mg), and Cap-1 (PCM: 500 mg and CAF: 30 mg). A total of 10 samples of each of the aforementioned commercial tablets and the capsule were weighed accurately. An amount of powdered Tab-1, Tab-2, Tab-3, and Cap-1 was separately dissolved in 100 mL of a water and methanol (70:30, v/v) solution and sonicated for 10 min to dissolve the powders completely. Then, 1 mL of this solution was diluted ten times by using the same solvent for analyses. All the samples were filtered using a 0.22 µm filter before analyses.

3.5. Method Validation

The UPLC method was validated according to the ICH guidelines [36,37,38] for the estimation of PCM and CAF; this included the following validation characteristics: precision, specificity, accuracy, robustness, LOD, and LOQ.
Specificity is the capability of an analytical procedure to detect analytes in the presence of other components and existing excipients. The specificity of the UPLC procedure was determined by comparing the retention time and the peak apex acquired during the sample tests for PCM and CAF with the retention time and the peak apex of standard PCM and CAF.
The linearity of the proposed method was assessed by plotting the peak areas obtained using the injection of PCM and CAF against the concentration employed for the calibration graph. The calibration curves were analyzed for regression analyses.
The accuracy of the procedure was estimated by studying recovery by employing the standard accumulation technique at three concentrations of PCM and CAF. A known quantity of PCM and CAF was examined, and the amounts were calculated. This experiment was performed in triplicate.
The inter-day and intra-day precisions of the developed procedure were measured. Intra-day precision was examined at three concentrations of 80, 100, and 200 ng/mL for PCM and at three concentrations of 17.5, 35, and 70 ng/mL for CAF, and the actual concentrations of PCM and CAF were estimated in triplicate within a day. The same procedure was used for the determination of intra-day precision. The concentrations of PCM and CAF were estimated, and the relative standard deviation (RSD) was calculated.
The robustness of the procedure was determined by analyzing the effects of slight variations in the experimental settings. Robustness was assessed by changing the flow rate, wavelength, and column oven temperature.
The LOD and LOQ of the developed procedure were assessed using a signal to noise ratio based method.

3.6. Forced Degradation of PCM and CAF

A stock solution comprising PCM (170 µg/mL) and CAF (90 µg/mL) was prepared and used for further studies. The forced degradation of PCM and CAF was performed to study the stability-indicating property and specificity of the proposed method.
This study was conducted by following the ICH guidelines [15,36,39]. The standard samples of PCM and CAF were degraded under different stress conditions, namely, acidic, alkali, oxidative, phytochemical, dry-heat, wet-heat, and normal conditions. For acidic and alkaline degradation, the samples were refluxed for 2 h at 80 °C with 2 M HCl and 2 M NaOH, respectively. Similarly, oxidative degradation was performed using 30% H2O2, and the sample was heated for 30 min at 60 °C. Photochemical-induced degradation was performed using methanol in the sample, and the sample was exposed to sunlight for 1 day (8:00 to 16:00 at 40–44 °C). Wet-heat degradation was performed using methanol in the sample, and the mixture was refluxed for 2 h, whereas dry-heat degradation was conducted by heating the sample in an oven at 100 °C for 2 h.
All the samples were diluted to obtain PCM (85 µg/mL) and CAF (45 µg/mL), except for the dry-heat sample. The dry-heat samples were diluted to 75 µg/mL for both PCM and CAF. Then, 1 µL was injected into the system, and a chromatogram was recorded to measure sample stability.

4. Conclusions

This study presented a simple, rapid, precise, accurate, and stability-indicating UPLC-PDA procedure for concurrently determining PCM and CAF in pharmaceutical formulations. The method was demonstrated to be superior compared with previous analytical reports in terms of its simplicity, fast speed, time efficiency, and cost effectiveness, with a short run time of 2 min, which reduces solvent utilization. Furthermore, the mobile phase comprising methanol and water (30:70, v/v), used for sample preparation and washing the column, extended the method’s considerable cost effectiveness compared to that of other methods. The proposed method also provided a detailed account of the quantification of PCM and CAF under stress conditions, indicating the excellent specificity of the UPLC procedure and its stability-indicating power. This is advantageous from economic and environmental perspectives. Therefore, the proposed procedure is suitable for quality control analysis and stability studies of pharmaceutical formulations comprising PCM and CAF as ingredients.

Author Contributions

Conceptualization, W.A. and P.A.; methodology, W.A., Y.A.H., A.A. and S.S.; software, W.A. and P.A.; validation, W.A., S.W. and P.A.; formal analysis, A.A., P.A. and M.S. (Manal Suroor); investigation, W.A., M.S.(Mohammad Sarafroz) and M.S. (Manal Suroor); data curation, W.A., A.A. and S.W.; writing—original draft preparation, W.A., P.A. and S.S.; writing—review and editing, S.W., A.A. and Y.A.H.; supervision, W.A., A.A. and Y.A.H.; project administration, W.A., S.W. and P.A. 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.

Acknowledgments

All authors are thankful to Mohammed Al-Mana College for Medical Sciences for providing instrumentation facility.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

PCMparacetamol
CAFcaffeine
UPLCultra-performance liquid chromatography
ICHInternational Council for Harmonization
LODlimit of detection
LOQlimit of quantification
H2O2hydrogen peroxide

References

  1. Siddiqui, M.R.; AlOthman, Z.A.; Rahman, N. Analytical techniques in pharmaceutical analysis: A review. Arab. J. Chem. 2017, 10, S1409–S1421. [Google Scholar] [CrossRef] [Green Version]
  2. Khorshed, A.A.; Khairy, M.; Banks, C.E. Electrochemical determination of antihypertensive drugs by employing costless and portable unmodified screen-printed electrodes. Talanta 2019, 198, 447–456. [Google Scholar] [CrossRef]
  3. Duan, C.; Wu, Y.; Yang, J.; Chen, S.; Pu, Y.; Deng, H. Simultaneous Determination of Cortisol, Cortisone, and Multiple Illicit Drugs in Hair among Female Drug Addicts with LC-MS/MS. Molecules 2021, 26, 516. [Google Scholar] [CrossRef] [PubMed]
  4. Terzopoulou, Z.; Papageorgiou, M.; Kyzas, G.Z.; Bikiaris, D.N.; Lambropoulou, D.A. Preparation of molecularly imprinted solid-phase microextraction fiber for the selective removal and extraction of the antiviral drug abacavir in environmental and biological matrices. Anal. Chim. Acta. 2016, 913, 63–75. [Google Scholar] [CrossRef] [PubMed]
  5. Tunca, K. Quantitative Analysis of Paracetamol, Acetyl cysteine and Guaifenesin in Commercial Cold Medicines by UV-Vis Spectroscopy. Sop. Trans. Anal. Chem. 2014, 1, 40–47. [Google Scholar] [CrossRef]
  6. Jena, B.R.; Babu, S.M.; Pradhan, D.P.; Swain, S. UPLC Analytical Method Development and Validation for the Simultaneous Estimation of Paracetamol and Caffeine Capsules Dosages Form. Pharm. Regul. Aff. 2017, 6, 186. [Google Scholar] [CrossRef] [Green Version]
  7. Foudah, A.I.; Shakeel, F.; Alqarni, M.H.; Aljarba, T.M.; Alshehri, S.; Alam, P. Simultaneous Detection of Chlorzoxazone and Paracetamol Using a Greener Reverse-Phase HPTLC-UV Method. Separations 2022, 9, 300. [Google Scholar] [CrossRef]
  8. Ilango, K.B.; Gowthaman, S.; Seramaan, K.I.; Chidambaram, K.; Bayan, M.F.; Rahamathulla, M.; Balakumar, C. Mucilage of Coccinia grandis as an Efficient Natural Polymer-Based Pharmaceutical Excipient. Polymers 2022, 14, 215. [Google Scholar] [CrossRef]
  9. Alvi, S.N.; Hammami, M.M. Validated HPLC Method for Determination of caffeine Level in Human Plasma using Synthetic Plasma: Application to Bioavailability Studies. J. Chromatogr. Sci. 2011, 49, 292–296. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Nehlig, A.; Daval, J.L.; Debry, G. Caffeine and the central nervous system: Mechanisms of action, biochemical, metabolic and psychostimulant effects. Brain Res. Rev. 1992, 17, 139–170. [Google Scholar]
  11. Ali, A.A.; Raouf, H.H.A. Synthesis and Antitumor Activity of New Pyrimidine and Caffeine Derivatives. Lett. Drug Des. Discov. 2015, 12, 471–478. [Google Scholar] [CrossRef]
  12. Graham, G.G.; Davies, M.J.; Day, R.O.; Mohamudally, A.; Scott, K.F. The modern pharmacology of paracetamol: Therapeutic actions, mechanism of action, metabolism, toxicity and recent pharmacological findings. Inflammopharmacology 2013, 21, 201–232. [Google Scholar] [CrossRef]
  13. Schug, S.A.; Goddard, C. Recent advances in the pharmacological management of acute and chronic pain. Ann. Palliat. Med. 2014, 3, 263–275. [Google Scholar]
  14. Jendrzejewska, I.; Goryczka, T.; Pietrasik, E.; Klimontko, J.; Jampilek, J. X-ray and Thermal Analysis of Selected Drugs Containing Acetaminophen. Molecules 2020, 25, 5909. [Google Scholar] [CrossRef] [PubMed]
  15. Altun, M.L. HPLC Method for the Analysis of Paracetamol, Caffeine and Dipyrone. Turk. J. Chem. 2002, 26, 521–528. [Google Scholar]
  16. Aminu, N.; Chan, S.Y.; Khan, N.H.; Farhan, A.B.; Umar, M.N.; Toh, S.M. A Simple Stability-Indicating HPLC Method for Simultaneous Analysis of Paracetamol and Caffeine and Its Application to Determinations in Fixed-Dose Combination Tablet Dosage Form. Acta. Chromatogr. 2019, 31, 85–91. [Google Scholar] [CrossRef]
  17. Mohammed, O.J.; Hamzah, M.J.; Saeed, A.M. RP–HPLC Method Validation for Simultaneous Estimation of Paracetamol and Caffeine in Formulating Pharmaceutical Form. Res. J. Phar. Technol. 2021, 14, 4743–4748. [Google Scholar] [CrossRef]
  18. Soponar, F.; Staniloae, D.; Moise, G.; Szaniszlo, B.; David, V. Simultaneous determination of paracetamol, propyphenazone and caffeine from pharmaceutical preparations in the presence of related substances using a validated hplc-dad method. Rev. Roum. Chim. 2013, 58, 433–440. [Google Scholar]
  19. Pereira, F.J.; Rodríguez-Cordero, A.; López, R.; Robles, L.C.; Aller, A.J. Development and Validation of an RP-HPLC-PDA Method for Determination of Paracetamol, Caffeine and Tramadol Hydrochloride in Pharmaceutical Formulations. Pharmaceuticals 2021, 14, 466. [Google Scholar] [CrossRef]
  20. Acheampong, A.; Gyasi, W.O.; Darko, G.; Apau, J.; Addai-Arhin, S. Validated RP-HPLC method for simultaneous determination and quantification of chlorpheniramine maleate, paracetamol and caffeine in tablet formulation. SpringerPlus 2016, 5, 625. [Google Scholar] [CrossRef] [Green Version]
  21. Rahimi, M.; Khorshidi, N.; Rouhollah, H. Simultaneous determination of paracetamol and caffeine in aqueous samples by ultrasound-assisted emulsification microextraction coupled with high-performance liquid chromatography. Sep. Sci. Plus. 2020, 3, 561–570. [Google Scholar] [CrossRef]
  22. Cunha, R.R.; Chaves, S.C.; Ribeiro, M.M.; Torres, L.M.; Muñoz, R.A. Simultaneous determination of caffeine, paracetamol, and ibuprofen in pharmaceutical formulations by high-performance liquid chromatography with UV detection and by capillary electrophoresis with conductivity detection. J. Sep. Sci. 2015, 38, 1657–1662. [Google Scholar] [CrossRef] [PubMed]
  23. Belal, F.; Omar, M.A.; Derayea, S.; Zayed, S.; Hammad, M.A.; Saleh, S.F. Simultaneous determination of paracetamol, caffeine and codeine in tablets and human plasma by micellar liquid chromatography. Eur. J. Chem. 2015, 4, 468–474. [Google Scholar] [CrossRef]
  24. Wang, A.; Sun, J.; Feng, H.; Gao, S.; He, Z. Simultaneous Determination of Paracetamol and Caffeine in Human Plasma by LC–ESI–MS. Chromatographia 2008, 67, 281–285. [Google Scholar] [CrossRef]
  25. Tavallali, H.; Zareiyan, S.F.; Naghian, M. An efficient and simultaneous analysis of caffeine and paracetamol in pharmaceutical formulations using TLC with a fluorescence plate reader. J. AOAC Int. 2011, 94, 1094–1099. [Google Scholar] [CrossRef] [Green Version]
  26. Chabukswar, A.R.; Thakur, V.G.; Dharam, D.L.; Shah, M.H.; Kuchekar, B.S.; Sharma, S.N. Development and validation of HPTLC method for simultaneous estimation of paracetamol, ibuprofen and caffeine in bulk and pharmaceutical dosage form. Res. J. Pharm. Technol. 2012, 5, 1218–1222. [Google Scholar]
  27. Halka-Grysinska, A.; Slazak, P.; Zareba, G.; Markowski, W.; Klimek-Turek, A.; Dzido, T.H. Simultaneous determination of acetaminophen, propyphenazone and caffeine in cefalgin preparation by pressurized planar electrochromatography and highperformance thin-layer chromatography. Anal. Methods 2012, 4, 973–982. [Google Scholar] [CrossRef]
  28. Minh, T.T.; Phong, N.H.; Duc, H.V.; Khieu, D.Q. Microwave synthesis and voltametric simultaneous determination of paracetamol and caffeine using an MOF-199-based electrode. J. Mat. Sci. 2018, 53, 2453–2471. [Google Scholar] [CrossRef]
  29. Silva, T.A.; Zanin, H.; Jos-Corat, E.; Fatibello-Filho, O. Simultaneous Voltammetric Determination of Paracetamol, Codeine and Caffeine on Diamond-like Carbon Porous Electrodes. Electroanalysis 2016, 29, 907–916. [Google Scholar] [CrossRef]
  30. Feyisa, T.Y.; Kitte, S.A.; Yenealem, D.; Gebretsadik, G. Simultaneous Electrochemical Determination of Paracetamol and Caffeine Using Activated Glassy Carbon Electrode. Anal. Bioanal. Electrochem. 2020, 12, 93–106. [Google Scholar]
  31. Boltia, S.A.; Soudi, A.T.; Elzanfaly, E.S.; Zaazaa, H.E. Simultaneous determination of paracetamol, orphenadrine citrate, and caffeine ternary mixture by different spectrophotometric methods. J. Appl. Spectrosc. 2019, 6, 731–739. [Google Scholar] [CrossRef]
  32. Moţ, A.C.; Soponar, F.; Medvedovici, A.; Sârbu, C. Simultaneous Spectrophotometric Determination of Aspirin, Paracetamol, Caffeine, and Chlorphenamine from Pharmaceutical Formulations Using Multivariate Regression Methods. Anal. Lett. 2010, 43, 804–813. [Google Scholar] [CrossRef]
  33. Nugrahani, I.; Manosa, E.Y.; Chintya, L. FTIR-derivative as a green method for simultaneous content determination of caffeine, paracetamol, and acetosal in a tablet compared to HPLC. Vib. Spectrosc. 2019, 104, 102941. [Google Scholar] [CrossRef]
  34. British Pharmacopoeia Commission. British Pharmacopoeia; British Pharmacopoeia Commission: London, UK, 2009.
  35. Dewani, A.P.; Patra, S. A single HPLC-DAD method for simultaneous analysis of paracetamol, phenylephrine, caffeine, and levocetirizine in bulk powder and tablet formulation: Application to in-vitro dissolution studies. J. Chil. Chem. Soc. 2015, 60, 2734. [Google Scholar] [CrossRef] [Green Version]
  36. Ahmad, W.; Yusuf, M.; Ahmad, A.; Hassan, Y.A.; Amir, M.; Wahab, S. Development and Validation of Ultra Performance Liquid Chromatography (UPLC) Method for the Quantitative Estimation of Caffeine in Non-Alcoholic Soft and Energy Drinks. J. AOAC Int. 2022, 105, 1146–1152. [Google Scholar] [CrossRef] [PubMed]
  37. ICH. Validation of Analytical Procedures: Text and Methodology Q2 (R1); ICH: Geneva, Switzerland, 2005; Volume 2005. [Google Scholar]
  38. Ahmad, W.; Zaidi, S.M.A.; Mujeeb, M.; Ansari, S.H.; Ahmad, S. HPLC and HPTLC methods by design for quantitative characterization and in vitro anti-oxidant activity of polyherbal formulation containing Rheum emodi. J. Chromatogr. Sci. 2014, 2, 911–918. [Google Scholar] [CrossRef]
  39. ICH Harmonised Tripartite Guidelines. “Stability testing of new drug substances and products, Q1A (R2)”, In international Conference on Hormonization of Technical Requirements for Registration of Pharmaceutical for Human Use. 2003. Available online: https://database.ich.org/sites/default/files/Q1A%28R2%29%20Guideline.pdf (accessed on 20 November 2022).
Figure 1. Chemical structures of (A) PCM and (B) CAF.
Figure 1. Chemical structures of (A) PCM and (B) CAF.
Separations 10 00050 g001
Figure 2. Spectra of PCM and CAF obtained via PDA detector in (A) standard, (B) Tab-1, (C) Tab-2, (D) Tab-3, (E) Cap-1.
Figure 2. Spectra of PCM and CAF obtained via PDA detector in (A) standard, (B) Tab-1, (C) Tab-2, (D) Tab-3, (E) Cap-1.
Separations 10 00050 g002
Figure 3. Chromatogram of PCM and CAF at 273 nm.
Figure 3. Chromatogram of PCM and CAF at 273 nm.
Separations 10 00050 g003
Figure 4. Overlay chromatogram of standard PCM and CAF of different levels.
Figure 4. Overlay chromatogram of standard PCM and CAF of different levels.
Separations 10 00050 g004
Figure 5. Stacked chromatograms of standard PCM and CAF and formulations: (A) standard, (B) Tab-1, (C) Tab-2, (D) Tab-3, (E) Cap-1.
Figure 5. Stacked chromatograms of standard PCM and CAF and formulations: (A) standard, (B) Tab-1, (C) Tab-2, (D) Tab-3, (E) Cap-1.
Separations 10 00050 g005
Figure 6. Calibration curve of PCM.
Figure 6. Calibration curve of PCM.
Separations 10 00050 g006
Figure 7. Calibration curve of CAF.
Figure 7. Calibration curve of CAF.
Separations 10 00050 g007
Figure 8. Chromatogram of PCM and CAF after forced degradation by 2 M HCl.
Figure 8. Chromatogram of PCM and CAF after forced degradation by 2 M HCl.
Separations 10 00050 g008
Figure 9. Chromatogram of PCM and CAF for photolytic degradation.
Figure 9. Chromatogram of PCM and CAF for photolytic degradation.
Separations 10 00050 g009
Figure 10. Chromatogram of PCM and CAF for wet heat degradation.
Figure 10. Chromatogram of PCM and CAF for wet heat degradation.
Separations 10 00050 g010
Table 1. Linear regression analysis for the concurrent quantification of PCM and CAF via UPLC.
Table 1. Linear regression analysis for the concurrent quantification of PCM and CAF via UPLC.
ParametersParacetamol (PCM)Caffeine (CAF)
Linearity range ng/mL40–4007–70
Correlation coefficient (R2)0.99950.9999
LOD16.623.86
LOQ50.3711.70
Table 2. Accuracy of PCM and CAF contents.
Table 2. Accuracy of PCM and CAF contents.
Concentration ng/mLConc. Found (ng/mL) ± SD% Recovery% RSD
Paracetamol
4040.33 ± 0.30100.710.27
10099.49 ± 1.0299.490.48
200197.61 ± 1.1198.800.32
Caffeine
1414.09 ± 0.15100.640.44
3535.40 ± 0.30101.140.61
7069.18 ± 0.8798.820.29
Table 3. Precision of UPLC method for the concurrent quantification of PCM and CAF.
Table 3. Precision of UPLC method for the concurrent quantification of PCM and CAF.
AmountIntra-Day PrecisionInter-Day Precision
ng/mLMean Peak Area ± SD% RSDMean Peak Area ± SD% RSD
Paracetamol
801,838,879.49 ± 12,548.570.681,782,189.92 ± 19,573.911.09
1002,327,147.74 ± 7629.420.322,227,539.85 ± 28,977.181.30
2004,766,558.97 ± 48,335.171.014,530,725.72 ± 41,486.140.91
Caffeine
17.5565,071.77 ± 4217.980.74524,396.78 ± 5356.171.02
351,160,103.46 ± 7986.680.681,106,601.09 ± 8302.870.75
702,308,756.33 ± 23,827.561.032,282,042.71 ± 20,951.760.91
Table 4. Results of robustness of PCM and CAF.
Table 4. Results of robustness of PCM and CAF.
Compound Name Mean Peak Area ± SDMean Rt Area ± SD% RSD of Area% RSD of Rt
ParacetamolFlow rate mL/Min0.12,303,872.31 ± 5875.080.83 ± 0.030.250.44
0.22,325,199.84 ± 2500.150.82 ± 0.010.101.22
0.32,311,573.43 ± 26,773.890.85 ± 0.001.150.58
Change in wavelength (nm)2712,306,660.26 ± 12,685.840.83 ± 0.0050.540.66
2732,325,754.95 ± 2387.250.82 ± 0.0010.100.20
2752,312,139.36 ± 20,891.050.84 ± 0.020.900.29
Column oven temperature30 °C2,301,993.59 ± 17,963.030.84 ± 0.0090.781.11
35 °C2,325,088.28 ± 2125.320.82 ± 0.000.090.09
40 °C2,311,969.69 ± 5126.760.85 ± 0.010.221.17
CaffeineFlow rate mL/Min0.11,131,460.71 ± 9370.951.17 ± 0.000.820.56
0.21,160,798.46 ± 1281.091.16 ± 0.080.110.68
0.31,153,484.54 ± 11,663.541.18 ± 0.071.010.62
Change in wavelength (nm)2711,137,662.35 ± 8282.211.15 ± 0.040.720.36
2731,159,837.97 ± 1511.621.16 ± 0.020.130.21
2751,147,068.33 ± 15,097.401.17 ± 0.0041.310.38
Column oven temperature30 °C1,131,329.02 ± 10,126.081.15 ± 0.020.890.17
35 °C1,159,771.30 ± 2830.961.16 ± 0.000.240.38
40 °C1,152,934.33 ± 12,675.511.17 ± 0.0021.090.22
Table 5. PCM and CAF contents in fixed-dose combinations.
Table 5. PCM and CAF contents in fixed-dose combinations.
Brand NameLabeled ClaimObserved Content% w/w
PCM (mg)CAF (mg)PCM (mg)CAF (mg)PCMCAF
Tab 150030484.1330.1496.98 ± 1.12100.46 ± 0.43
Tab 250065512.3767.73102.48 ± 0.73104.20 ± 0.36
Tab 350065492.3167.4598.46 ± 0.52103.69 ± 0.32
Cap 150030510.2230.45102.04 ± 0.61101.50 ± 0.31
Table 6. Results for stress degradation studies of PCM and CAF.
Table 6. Results for stress degradation studies of PCM and CAF.
Compound NameDegradation ConditionRecovery (%) (±SD, n = 3)
PCMAcid0
Base0
H2O20
Sunlight97.87 ± 0.09
Dry Heat96.19 ± 0.02
Wet Heat96.78 ± 0.02
Room Temp99.89 ± 0.03
CAFAcid91.51 ± 0.06
Base0
H2O212.49 ± 0.02
Sunlight98.35 ± 0.08
Dry Heat99.73 ± 0.04
Wet Heat93.66 ± 0.03
Room Temp102.21 ± 0.04
Table 7. Comparison of some chromatographic characteristics of the current UPLC procedure with previously published methods for concurrent quantification of PCM and CAF.
Table 7. Comparison of some chromatographic characteristics of the current UPLC procedure with previously published methods for concurrent quantification of PCM and CAF.
S.NTechniqueColumnRun TimeLinearity (µg/mL)RtRef
1HPLCC189PCM: 0.409–400 µg
CAF: 0.151–200 µg
PCM: 4.88
CAF: 5.84
[12]
2HPLCC1810PCM: 15–300 µg
CAF: 2.5–50 µg
PCM: 2.6
CAF: 3.5
[13]
3HPLCC1810PCM: 0.5–25 µg
CAF: 0.1–30 µg
PCM: 3.4
CAF: 5.3
[14]
4HPLCC1820PCM: 42.8–127.6 µg
CAF: 9.4–25 µg
PCM: 6.14
CAF: 14.44
[15]
5HPLCC1817PCM: 0.8–270 µg
CAF: 0.4–250 µg
PCM: 3.8
CAF: 5.3
[16]
6HPLCC1815PCM: 1–500 µg
CAF: 1–150 µg
PCM: 4.2
CAF: 7.2
[17]
7HPLCC1817PCM: 30–1100 ng
CAF: 50–400 ng
PCM: 6.5
CAF: 12.1
[18]
8HPLCC1810PCM: 15–300 µg
CAF: 0.01–5 µg
NR[19]
9UPLCC187P PCM: 325–2600 PPM
CAF: 30–240 PPM
PCM: 0.68
CAF: 1.78
[6]
10UPLC-MSC184.5PCM: 0.05–25 µg
CAF: 0.01–5 µg
NR[21]
11HPLCC1824PCM: 250–750 µg
CAF: 15–45 µg
PCM: 11.03
CAF: 15.36
[35]
12UPLCC182.0PCM: 40–400 ng/mL
CAF: 7–70 ng/mL
PCM: 0.82
CAF: 1.16
CI
NR: not reported, CI: current investigation.
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Ahmad, W.; Hassan, Y.A.; Ahmad, A.; Suroor, M.; Sarafroz, M.; Alam, P.; Wahab, S.; Salam, S. A Simple Stability-Indicating UPLC Method for the Concurrent Assessment of Paracetamol and Caffeine in Pharmaceutical Formulations. Separations 2023, 10, 50. https://doi.org/10.3390/separations10010050

AMA Style

Ahmad W, Hassan YA, Ahmad A, Suroor M, Sarafroz M, Alam P, Wahab S, Salam S. A Simple Stability-Indicating UPLC Method for the Concurrent Assessment of Paracetamol and Caffeine in Pharmaceutical Formulations. Separations. 2023; 10(1):50. https://doi.org/10.3390/separations10010050

Chicago/Turabian Style

Ahmad, Wasim, Yousif Amin Hassan, Ayaz Ahmad, Manal Suroor, Mohammad Sarafroz, Prawez Alam, Shadma Wahab, and Shahana Salam. 2023. "A Simple Stability-Indicating UPLC Method for the Concurrent Assessment of Paracetamol and Caffeine in Pharmaceutical Formulations" Separations 10, no. 1: 50. https://doi.org/10.3390/separations10010050

APA Style

Ahmad, W., Hassan, Y. A., Ahmad, A., Suroor, M., Sarafroz, M., Alam, P., Wahab, S., & Salam, S. (2023). A Simple Stability-Indicating UPLC Method for the Concurrent Assessment of Paracetamol and Caffeine in Pharmaceutical Formulations. Separations, 10(1), 50. https://doi.org/10.3390/separations10010050

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