Next Article in Journal
Measuring the Residual Levels of Fenpyroximate and Its Z-Isomer in Citrus Using Ultra-High-Performance Liquid Chromatography–Tandem Mass Spectrometry and Assessing the Related Dietary Intake Risks
Previous Article in Journal
Application of Fe-MOFs in Photodegradation and Removal of Air and Water Pollutants: A Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Advancements in Preprocessing and Analysis of Nitrite and Nitrate since 2010 in Biological Samples: A Review

1
Department of Chemistry, School of Forensic Medicine, China Medical University, Shenyang 110122, China
2
Liaoning Province Key Laboratory of Forensic Bio-Evidence Sciences, Shenyang 110122, China
3
Center of Forensic Investigation, China Medical University, Shenyang 110122, China
4
Forensic Analytical Toxicology Department, School of Forensic Medicine, China Medical University, Shenyang 110122, China
5
First Clinical College, China Medical University, Shenyang 110122, China
*
Author to whom correspondence should be addressed.
Molecules 2023, 28(20), 7122; https://doi.org/10.3390/molecules28207122
Submission received: 12 September 2023 / Revised: 10 October 2023 / Accepted: 12 October 2023 / Published: 17 October 2023

Abstract

:
As a substance present in organisms, nitrite is a metabolite of nitric oxide and can also be ingested. Nitrate is the metabolite of nitrite. Therefore, it is necessary to measure it quickly, easily and accurately to evaluate the health status of humans. Although there have been several reviews on analytical methods for non-biological samples, there have been no reviews focused on both sample preparation and analytical methods for biological samples. First, rapid and accurate nitrite measurement has significant effects on human health. Second, the detection of nitrite in biological samples is problematic due to its very low concentration and matrix interferences. Therefore, the pretreatment plus measuring methods for nitrite and nitrate obtained from biological samples since 2010 are summarized in the present review, and their prospects for the future are proposed. The treatment methods include liquid–liquid microextraction, various derivatization reactions, liquid–liquid extraction, protein precipitation, solid phase extraction, and cloud point extraction. Analytical methods include spectroscopic methods, paper-based analytical devices, ion chromatography, liquid chromatography, gas chromatography–mass spectrometry, electrochemical methods, liquid chromatography–mass spectrometry and capillary electrophoresis. Derivatization reagents with rapid quantitative reactions and advanced extraction methods with high enrichment efficiency are also included. Nitrate and nitrate should be determined at the same time by the same analytical method. In addition, much exploration has been performed on formulating fast testing through microfluidic technology. In this review, the newest developments in nitrite and nitrate processing are a focus in addition to novel techniques employed in such analyses.

1. Introduction

Nitrite has extensive applications as a food additive for meat preservation. A moderate amount of nitrite has bacteriostatic and preservative effects, but excessive or long-term intake of nitrite can lead to various diseases, such as circulatory system failure, cancer, and teratogenicity [1,2,3,4]. In the field of forensic medicine, there are many cases of nitrite poisoning, as nitrite penetrates the bloodstream and can stimulate hemoglobin leading to irreversible conversion to methemoglobin, thereby impairing oxygen uptake and delivery [2,4]. On the other hand, nitrogen oxide (NO), as a new type of cell messenger molecule, has a role in numerous physiological and pathological processes in the body, and has received wide attention from the medical community over the past few years [4,5]. The determination of nitrate and nitrite content can indirectly reflect the level of NO as NO can be quickly converted into nitrate as well as nitrite due to its extremely short half-life and in vivo chemical instability [6,7,8]. Unfortunately, there is no simple and feasible means of analyzing nitrate and nitrite obtained from biological samples. In particular, nitrite concentration in the human body is very low, approximately one hundred times lower than that of nitrate, while nitrite toxicity is several hundred times that of nitrate [2]. Consequently, a rapid, simple, specific and responsive method is urgently required to measure nitrite and nitrate in biological samples to predict the health of humans or monitor nitrite poisoning.
However, many researchers have reviewed the methods for the determination of nitrite in recent years, such as Moorcroft and colleagues in 2001 [7], who reviewed nitrate and nitrite detection mainly acquired from environmental samples. In 2005, Tsikas et al. [8] summarized various quantitative approaches to examine nitrate and nitrite as metabolic products of NO in human biological fluids. In 2007, Jobgen et al. [9] described different high-performance liquid chromatography (HPLC) methods used to examine nitrate and nitrite in biological samples. Wu et al. (2013) [10] reviewed the methods to determine NO-derived nitrate and nitrite ions obtained from biological samples. In 2017, Wang et al. [4] updated the methods used for determination of nitrate and nitrite. All these reviews mainly focused on assays for nitrate together with nitrite. Wierzbicka et al. (2020) summarized the detection methods for nitrate and nitrite in water systems, sewage, as well as in food [11]. The sample pretreatment and determination methods should be chosen according to the matrices present. Thus, analytical methods suitable for both environmental and food matrices may not necessarily be applicable for measuring nitrate and nitrite in biological samples. Given that nitrite and nitrate have low concentrations and high water solubility, selecting suitable extraction and clean-up procedures to examine these analytes in biological samples is important. Most reviews have focused on measurement methods used primarily for non-biological samples.
With this background, an up-to-date and comprehensive review is urgently needed. In this article, we summarize the pretreatment and determination methods for nitrite and nitrate since 2010. Moreover, we compare various sample pretreatment methods and various detection methods. In addition, we express our views on future development trends. The objective of this article is to supply more comprehensive information about the pretreatment and determination methods for nitrite and nitrate in biological samples for analytical chemist.

2. Sample Pretreatment

Sample pretreatment for accurate nitrite and nitroxide measurement in biological specimens is important for three reasons. First, the biological sample matrix is complex. Second, biological specimens have low NO and nitrite content. Third, nitrite and NO are unstable, and are often metabolized into other forms. Therefore, appropriate sample pretreatment methods are needed to ensure the sensitivity of the subsequent determination. Simple sample pretreatment technologies [12,13], liquid–liquid extraction (LLE) [14,15,16,17], cloud point extraction (CPE) [18,19,20],liquid phase microextraction (LPME) [21,22,23,24,25], on-line solid phase extraction (SPE) [26], solid phase microextraction (SPME) [27], aqueous two-phase extraction (ATPE) [28], and electromembrane extraction (EME) [29] are summarized in Table 1.

2.1. Simple Sample Treatment

Biological samples have many impurities affecting nitrate and nitrite determination, such as minerals, proteins, urea, fatty acids, ammonia, sugars, biological amines, and amino acids [10]. Moreover, macromolecules, such as enzymes, soluble proteins, lipids, and hemoglobin, are usually found in the serum and urine, and can interfere with reactions such as derivatization and reduction. In addition, other substances can cause colorimetry interference. Nitrite and nitrate are usually found in biological samples such as urine and saliva, matrices of which have less interference than blood. The dilution method is used for pretreatment of urine and saliva. Whole blood and red blood cells interfere with the determination of nitrite because they contain hemoglobin, whereas serum and plasma without hemoglobin do not interfere with nitrate and nitrite determination. However, in forensic science, whole blood and red blood cells should not be the first choice for nitrite detection. Protein precipitation for blood samples and decolorization for urine samples are the basic means of sample preparation. For protein precipitation, researchers may use alkaline solution and salt solutions such as NaOH and ZnSO4, as well as acetonitrile, methanol, and other organic solvents; or ultrafiltration methods [12,18,19]. Ultrafiltration, a frequently used method for eliminating large molecules such as proteins, may fail to screen out certain low molecular weight compounds including glucose and amino acids.

2.2. Evolution of Liquid–Liquid Extraction

The LLE method has found widespread application as a trace enrichment approach in analytical chemistry. However, conventional LLE has clear disadvantages, such as a need for abundant organic solvents with high purity and toxicity, a low enrichment factor (EF), time-consuming operation, and environmental pollution [14,15,16,17]. To overcome these problems and adapt to the development of modern analytical technology, CPE, LPME, and ATPE have emerged in recent years, thus addressing the disadvantages of LLE.
CPE, an emerging LLE technology using a surfactant to extract the analyte from samples, with little or no organic solvent, is an environmentally friendly sample pretreatment method [19,20].
Pourreza et al. [20] reported some key parameters which had an impact on CPE extraction efficiency, such as the amount of Triton X-100, equilibrium time, as well as the influence of incubation time and equilibration temperature, with Triton X-100 as a CPE solvent. The optimal conditions have been found to be 8 mL of Triton X-100, a 30 min equilibrium time, an 80 °C equilibrium temperature, and a 25 min incubation time. This method is used for water and sausage samples, and recoveries of 91.2−103.0% are obtained. An approach on the basis of the Griess reaction and CPE technique was explored by Zhao et al. [19], which was adopted to examine blood and urine samples for nitrite content with non-ionic surfactant Triton-X114 as an extraction solvent, yielding a recovery ranging from 92.6% to 101.2%. The process of CPE is given in Figure 1.
Another LLE mode, ATPE, utilizes aqueous solutions with completely different natures in both liquid phases for the purpose of realizing phase separation. It has the advantages of fast processing speed and no inactivation or denaturation of bioactive substances. Liu et al. [28] used tetrahydrofuran as the extraction solvent in ATPE to extract the derivatization of nitrite and then analyze nitrite in urine samples by spectrofluorimetric determination, thus obtaining recoveries of 93.3–105.0%.

2.3. Liquid Phase Microextraction

LPME, used as an innovative sample preprocessing technique in the 1990s, does not have the drawbacks of traditional LLE, including cumbersome operation, use of large amounts of organic solvents, and environmental pollution. LPME has the advantages of low solvent consumption (only microliter level), high extraction efficiency, and easy operation and automation [23,25,38,39].
Dispersion liquid–liquid microextraction (DLLME), a newer microextraction technology based on LLE, ref. [21], was first developed by Rezaee and colleagues in 2006. The extraction system consists of three parts: extraction solvent, dispersion solvent and sample solution. The ability of the dispersing solvent is miscibility with the other two components, dispersing the extraction solvent to very fine droplets, dispersing into the water phase. Figure 2 shows the common procedure of DLLME.
Senra-Ferreiro et al. [23] detected nitrite in water samples via headspace single drop liquid phase microextraction (HS-SDME) plus micro-spectrophotometry, and investigated several key parameters such as acetic acid concentration, extractant phase volume and composition, sample volume, ionic intensity, sample agitation, temperature and microextraction times. Under optimized conditions, a limit of detection (LOD) of 1.5 μg/L and an EF of 193 were obtained.
Ionic liquid (IL) as a “green chemical” solvent is replacing the toxic, combustible and volatile organic solvents of traditional LLE [40,41]. Owing to its advantages such as simple operation, rapidity, high enrichment efficiency, and diminished use of extraction agent, ionic liquid-dispersive liquid–liquid microextraction (IL-DLLME) is applicable for combined use with instrumental methods covering gas chromatography and liquid chromatography [42]. He et al. [24] utilized the ionic liquid 1-octyl-3-methylimidazolium bis[(trifluoromethyl)sulfonyl]imide ([OMIM][Tf2N]) as an extraction solvent in combination with a HPLC-UV detector to analyze nitrite in saliva, and obtained a good EF (413) and extraction recovery (ER) of 94.2%.
A hydrophobic deep eutectic solvent is similar to IL in terms of physical properties and phase behavior, which can serve as a novel green extraction solvent to substitute IL. Deep eutectic solvents were composed of hydrogen bond acceptor and hydrogen bond donor at a certain mole ratio [25,43]. Zhang et al. [25] used deep eutectic solvents-based DLLME (DESs-DLLME) plus HPLC to detect nitrite levels in saliva and urine samples from humans, and successfully used this method to measure nitrite in three environmental water specimens and two biological samples, with recoveries ranging from 90.5% to 115.2%.
EME is a novel sample pretreatment technology representing a new development in combining liquid phase microextraction with an electric field. Tan et al. [29] pioneered EME coupled with ion chromatography to examine amniotic fluids for nitrite level determination. EME performed more efficiently than HF-LPME, exhibiting a higher EF (6.4) and shorter extraction time (5 min). Figure 3 shows the procedure of EME reported by Tan et al. [29].

2.4. SPE plus SPME

SPE, compared with traditional LLE, markedly improves isolation and purification efficiency. Traditional SPE procedure usually contains four steps: precondition of cartridges, sample loading, washing and elution of analytes. Notably, on-line SPE is labor-saving and time-saving, and thus is commonly applied in batch sample analysis. Hu et al. [26] employed a C18 SPE column to separate the analyte after derivatization with 2,3-diaminonaphthalene, where the entire run time for the on-line SPE was 10 min. Furthermore, satisfactory recovery (99–112%) indicated its great potential in nitrite and nitrate detection.
The development of SPME is another direction in SPE. SPME offers numerous advantages (e.g., high enrichment capacity and accuracy). Yang et al. [27] employed HS-SPME to extract nitrite from samples based on a 100 μm polydimethylsiloxane (PDMS) absorbent. HS-SPME showed good sensitivity (0.1 μg/L) and reproducibility (96–103%).

2.5. Summary

Nitrite concentrations are about one hundred time lower than those of nitrate, while its toxicity is about the same order of magnitude higher (LD50 was 85 mg/kg for nitrite, and 3236 mg/kg for nitrate (rat oral)) [31]. Given nitrite’s unstable nature and possible metabolism to nitrate, and the presence of complex biological sample matrices, highly efficient pretreatment technology is necessary for the detection of nitrite in biological samples. For simple matrices, such as urine and saliva, samples can be diluted or treated by ultrafiltration. For blood samples rich in hemoglobin, an organic solvent or salt is generally added for protein precipitation, and membrane filtration is subsequently used for final clean-up. If ion chromatography (IC) is used as an analytical technique, an Ag cartridge and Na cartridge can be used to remove the interference of Cl. However, efficient extraction methods such as CPE are based on traditional LLE and their advantages include higher EFs and environmental friendliness. In recent years, IL-DLLME and DESs-DLLME have achieved higher EF, thus aiding in the determination of trace nitrate. For bulk sample analysis, automated preprocessing techniques, such as on-line SPE, are needed. In the future, simple, high-efficiency sample pretreatment is expected to remain a focus for researchers. In Table 2, these sample pretreatments are compared, and their advantages and disadvantages are illustrated.

3. Analytical Methods

Diverse analytical approaches have been developed in recent decades to measure nitrite and nitrate, including spectroscopic methods (spectrophotometry, chemiluminescence, colorimetry, spectrofluorometry, and Raman spectroscopy), electrochemistry, CE, HPLC, gas chromatography–mass spectrometry (GC-MS), HPLC-MS, IC, and paper-based analytical devices (PAD), which are summarized in Figure 4.

3.1. Spectroscopic Methods

Spectrophotometry is widely used due to the universal availability of instruments, simplicity of procedures, and low cost. In addition, it provides high sensitivity when appropriate chromogenic reagents are available. A variety of spectroscopic techniques are used, including spectrophotometry [12,19,27,35,37,44,45], spectrofluorometry [28,46,47,48], chemiluminescence [6,28,49,50], colorimetry [51,52,53,54,55], and Raman spectroscopy [56,57]. Table 3 summarizes the data on nitrite and nitrate detection by spectrophotometry, spectrofluorometry and colorimetry. In general, regardless of simple measurement and a lower detection limit, spectroscopic methods also have several disadvantages: they suffer from interference of other substances as well as certain ions (trisodium citrate, EDTA, etc.) [45,52,53,54].

3.1.1. Spectrophotometry

Spectrophotometry is still the most frequently used method for nitrite measurement. However, some spectrophotometric methods have disadvantages such as insufficient sensitivity or expensive/toxic reagents [12]. Nagaraja et al. [12] developed a spectrophotometric method for nitrite detection, which showed simplicity, sensitivity, fair selectivity and high efficiency, and used AHNDMS diazotized intramolecular coupling through a phosphate buffer solution (PBS) at pH 7.5. Within the 0.1–1.6 μg/mL range, there was a good linear relationship, yielding an LOD of 6.9 ng/mL. The method has been successfully used for human saliva, with recoveries of 98%.
Zhao et al. [19] developed a method with reference to the Griess reaction, whose principle is illustrated in Figure 5. After the reaction, a purple dye that can be detected at 409 nm is formed. Under optimal conditions, nitrite shows good linearity within 10–400 ng/mL (LOD of 2.5 ng/mL). Successful utilization of this method to detect nitrite in blood and urine specimens is achieved with recoveries of 92.6–101.2%.
Lo et al. [44] used [Ru(npy)([9]aneS3)(CO)](ClO4) diazotization, a developed recently ruthenium complex, according to a principle shown in Figure 6. After the addition of acidified NO2, the derivatives exhibit maximum absorption at 483 nm. The method has good linearity (over the range of 1–840 µmol/L) and good sensitivity (0.39 µmol/L).

3.1.2. Spectrofluorometry

Unnikrishnan et al. [46] formulated a nitrite spectrofluorimetric method with the following principle: in the core of bovine serum albumin (BSA)-Au25 nanoclusters (NCs), nitrite ion triggers Au(0) atom oxidation into Au(I) atoms which induces fluorescence quenching. Given the higher biocompatibility and proneness to bioconjugation, BSA-Au NCs can be widely used to determine small molecules and metal ions. The LOD with this method is 50 nM. However, the method is also prone to some interference from inorganic ions, including CN and S2−.
Ning et al. [48] reported an “on–off–on” fluorescence method for determination of nitrite. The principle of this method is as follows. First, near-infrared carbon dots (NIR-CDs) doped with fluorine and nitrogen are constructed. Second, a red BPS-Fe2+ complex is added for NIR-CDs fluorescence quenching. Finally, after adding nitrite to the acidic environment, nitrite oxidizes Fe2+ to produce Fe3+, thereby resulting in fluorescence recovery of NIR-CDs. Good linearity within 1−50 μM together with an LOD of 0.056 μM are achieved with this method.
Graphene quantum dots (GQDs) are an appropriate choice of fluorescent materials, as they have many unique properties such as robust chemical inertness, abundant availability, photo-bleaching resistance, outstanding water solubility and biocompatibility, and low cytotoxicity, resulting in them being widely applied to the exploration of fluorescence sensors with high selectivity and sensitivity over the past few years. Jin et al. [47] developed a spectrofluorimetric method by virtue of GQD fluorescence quenching, which is used for nitrite detection in urine specimens. A breakthrough in sensitivity is achieved with this method, with an LOD of 5.4 nmol/L.

3.1.3. Colorimetry

Enormous interest is attached to colorimetric detection due to its feasibility of naked-eye observation of results in addition to its simplicity [51,52,53,54,55].
Siu et al. [51] used an instantaneous quantitative colorimeter to measure nitrite in urine specimens, producing preferable linearity in the salt buffer over the 0.78−200 μM range. Artificial urine shows an LOD of 1.6 μM. The method is advantageous in terms of low cost, portability, and quantitation of nitrite in urine, and can be applied in at-home health monitoring. According to Zhang et al. [55], a fast method based on specific reaction of peroxynitrous acid (HOONO) was developed and used to generate a golden yellow product through oxidization of colorless 3,3′,5,5′-tetramethylbenzidine (TMB). An LOD of 100 nM was obtained with this method. However, this colorimetric method lacks sensitivity.

3.1.4. Chemiluminescence

As chemiluminescence bound to triiodide reducing solution allows accurate quantification of nitrite in a low nanomolar concentration range, it is deemed a more responsive method [49]. Depending on the chemiluminescence reaction with ozone, NO was derived from nitrate and nitrite through reduction [6,42,43]. The specific reaction is shown in Figure 7.
This method considers the influence of other nitrogen oxides on the reaction, and the determination steps in this method are briefly described as follows.
First, the sample is divided into two parts. One part is treated with acid sulfonamide for nitrite diazotization, which cannot release NO, followed by the addition of triiodide reducing agent (I3 solution) which allows the release of NO by the remainder of the nitrogen oxide (including nitrate), then, finally, a reaction with O3. A nitrogen oxygen analyzer is used for detection. Second, using the remaining part, a reducing agent is added to reduce all the nitrogen oxide and release NO, which is then followed by a reaction with O3, and a nitrogen–oxygen analyzer is used for detection. Finally, the difference between the two results is used to obtain the NO2 content.
Although the pretreatment process is complicated, it can accurately determine the NO2 content and eliminates the interference by other nitrogen oxides in the process. Piknova et al. [50] investigated the effects of different reducing agents. Nitrite can be selectively determined via ascorbic acid/acetic acid solution, which is specific for nitrite, while I3 and a vanadium trichloride (VCl3) solution can reduce all nitrogen oxides (nitrite, nitrate, R-SNO, Fe-NO and R-NNO functional groups, etc.) to produce NO, which reacts with ozone. Therefore, for different analytes, we can choose different reduction reagents. If nitrite is only detected, ascorbic acid/acetic acid can be chosen. If the NO content is detected, the I3 reduction reagent and VCl3 can be chosen. The LOD of this method is 20 nmol. Expensive devices that are only available in highly specialized laboratories are needed for chemiluminescence. Moreover, chemical chromogenic agents are more toxic and harmful to the health of analysts [33,36].

3.1.5. Raman Spectroscopy

Despite its ability to distinguish chemical structure, conventional Raman spectroscopy, a crucial analytical method, has a primary limitation of low sensitivity caused by unfavorable effectiveness of inelastic scattering. Currently, most researchers focus on the substrate; for example, Ag nanoparticles in surface enhanced Raman spectroscopy (SERS).
Zhang et al. [56] developed the shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) to measure nitrite ions in complex samples, characterized by simplicity, speed and selectivity. At the range of 0.5−6.0 mg/L, there was linearity, and an LOD of 0.07 mg/L was obtained. This method has some advantages; for example, there is no requirement for sample pretreatment, the method also displays high selectivity, the entire analysis is completed within 10 min, and few samples are consumed (about μL level). This method is also successfully used for nitrite detection in saliva.
Chen et al. [57] described a method based on SERS for Fe3O4@SiO2/Au magnetic nanoparticles (MNPs) to detect nitrite combined with derivatization. In acid conditions, conjugation between Fe3O4@SiO2/Au MNPs and 4-aminothiophenol (4-ATP) molecules occurred easily. This method is selective for nitrite, as nitrite can react with 4-ATP for diazotization as shown in Figure 8. Using this method, SERS signals were found to have excellent linearity between 10 μM and 100 μM. This allowed for the detection of three representative peaks, and NO2 concentrations as low as 15.63 μM, 13.69 μM, and 17.77 μM, respectively, were obtained. This method has the advantages of simplicity, speed, specificity and no sample pretreatment. The method was also successfully used in water samples and urine, but the sensitivity requires further improvement.

3.2. HPLC Methods

HPLC systems are available in many laboratories and are typically used for nitrate or nitrite detection in biological specimens. Usually, the Griess reaction in combination with different extraction techniques are adopted [10,18,24,25,31,37,38,58,59,60,61] (Table 4). He et al. [24] developed a method for the reaction between p-nitroaniline and nitrite ion, with acid media containing diphenylamine, which was used in combination with HPLC-UV to detect nitrite levels in saliva specimens (the reaction principle is shown in Figure 9). This method was validated as feasible and practical with high repeatability (Relative Standard Deviation (RSD) < 4.1%)and sensitivity (LOD: 0.05 μg/L).
Zhang et al. [25] used DESs-DLLME after the Griess reaction combined with HPLC-UV to detect nitrite in saliva and human urine samples. The method showed a good linear relation within 1–300 μg/L and high sensitivity (LOD: 0.2 μg/L, LOQ: 1 μg/L) under optimized conditions.
Tatarczak-Michalewska et al. [59] performed a method using a phosphatidylcholine column combined with potassium permanganate under acidic conditions as an oxidant to examine nitrate and nitrite content in saliva. Nitrates can be immediately detected via this method by the absorbance at approximately 210 nm. However, nitrite was converted into nitrate through oxidization using potassium permanganate in an acidic environment. The LOD was 4.56 ng/mL (nitrate) and 4.21 ng/mL (nitrite).
Ata et al. [58] described a method where a fluorescence detector was coupled with HPLC. This method showed higher sensitivity for nitrite (LOD: 0.13 ng/L) and nitrate (LOD: 0.19 ng/L). With regard to the fluorometric assay for nitrite, 2,3-naphthotriazole (NAT) was generated on the basis of the reaction between 2,3-diaminonaphthalene (DAN) and nitrite, as shown in Figure 10.

3.3. HPLC-MS

As the sole analytical technique for detecting nitrate and nitrite isotopes, MS instruments have witnessed popularization due to their sensitivity, specificity and quantitative accuracy. For biological specimens, LC-MS/MS generally has correlations with matrix effects [62], as the matrix such as sugars and protein affect the accurate quantification to some extent [63]. Human plasma and distilled water are frequently compared for the quantification results of nitrite, for the purpose of assessing the impact of human plasma components on the matrix.
The protein is removed by ultrafiltration, and the nitrite is converted to S-nitrosoglutathione, and then detected by HPLC-MS/MS as reported by Hanff et al. [30]. With a total analysis time of no more than 5 min and peak onset time of 0.8 min, the method shows complete verification using human plasma (range: 0 nM−2000 nM), yielding an LOD of 1 fmol and an LOQ of 5 nM for nitrite. Moreover, the method also has high accuracy due to the supplemented internal standard (IS) isotope marker, and the recovery rate is 91.7−107.6%. The IS significantly enhances the relative matrix effect by nearly 21%.
On-line SPE in combination with LC-MS/MS is utilized to examine nitrite content in urinary and fecal excretion [26] after derivatization with DAN. According to the results, the LOQs declines to 1 nM and 10 nM for 15 NO2 and 15 NO3, respectively. The urine and feces specimens in this study exhibit matrix effects of −2.3–9.5% and 0–8.0%, respectively.

3.4. Ion Chromatography

Compared with other instruments, ion chromatography (IC) has great advantages in terms of precision, accuracy and other aspects in nitrite detection. Following the introduction of an elution automatic generator, the required elution concentration can be generated online using deionized water, avoiding the error caused by manual configuration. While simplifying the test procedure, it improves the reproducibility of the test results and reduces environmental pollution.
The overall running time of IC is 45 min as reported by Yan et al. [32], and the nitrite retention time is 13.8 min. The sample pretreatment process requires a guard cartridge, Ag cartridge and Na cartridge. The LOD in this method is 0.4 μmol/L, and the LOQ is 2 μmol/L in whole blood.
Kim et al. [64] detected nitrite in whole blood samples by means of a conductivity detector together with IC. Samples were prepared using only a simple ultrafiltration method. Given the interference in nitrite during IC methods under general conditions, chloride ions were thoroughly separated using a potassium hydroxide (KOH) gradient elution. Nitrite showed an LOD of 0.5 mg/L and LOQ of 1 mg/L. At 1−500 mg/L and 5−500 mg/L of nitrite and nitrate, respectively, favorable linearity was achieved in both cases.

3.5. Capillary Electrophoresis

Capillary electrophoresis (CE) has been recognized as a powerful analytical tool for nitrite and nitrate in biological samples because of its high sensitivity, superior separating effectiveness, and suitability for isolating charged samples. CE also has advantages of low sample consumption, inexpensive experimental reagents, simple operation, and a broad application range.
Capillary zone electrophoresis (CZE) approaches have been used with a direct UV-–Vis detector for examining nitrate and nitrite levels in biological fluids at 214 nm [33]. The main contributing factor for the CZE mode is related to complex background electrolytes (BGE), electroosmotic flow (EOF) reverse additives, and instability of EOF (varied with pH value). These issues may lead to relatively unsatisfactory reproducibility and accuracy.
The optimized parameters include separation voltage, capillary temperature, and the effect of injection time when nitrate and nitrite are measured by CZE. Wang et al. [33] used human plasma to detect nitrate and nitrite through field-amplified sample stacking (FASS) in combination with on-capillary preconcentration. Estimated LODs (0.07 mM and 0.05 mM) and LOQs (0.24 mM and 0.17 mM) were obtained for nitrate and nitrite. Based on the derivatization with DAN, Wang et al. [34] employed CE and fluorescence detection to measure nitrite in human plasma, resulting in preferable linearity (R2 = 0.9975) between 2 nM and 500 nM, as well as an LOD of 0.6 nM in the initial plasma specimens.
Zhang et al. [65] constructed a novel capillary open tube column prepared with a methyl diethanolaminated nano latex. The column had a positive amino charge on the inner wall capable of effectively controlling EOF size and direction, changing the selectivity of the modified column, affecting the CE column efficiency, and acquiring relatively steady but opposite EOF values. An LOD of 1 ng/mL was obtained for both nitrite and nitrate.
Capillary ion analysis (CIA) is a new CE technique developed in the early 1990s. Taus et al. [66] utilized CIA coupled with UV–Vis detection to formulate a nitrite detection method targeting the blood, yielding a linearity ranging from 0.25 mM to 5 mM. The RSDs were 14.7%. Both nitrate and nitrite showed an LOD of 0.025 mmol/L. Detection was rapid with this method, but it may be affected by other ions as well as hemoglobin.
Notably, Siegel et al. [67] adopted electrochemical detection (ME-EC) together with microchip electrophoresis to detect nitrite in RAW 264.7 cells by applying a Pt-black working electrode with a polydimethylsiloxane (PDMS)/glass microchip fabrication. An LOD of 0.50 mM for nitrite was achieved. This method provided feasibility for future studies of NO in single cells and NO-related diseases. CE has no between-run residues, simple sample preparation and other unique merits in bio-analysis.

3.6. Paper-Based Analytical Devices

In terms of biological samples containing nitrite and nitrate, the analysis, either spectroscopic method or chromatography as well as CE, requires specialized laboratory operators and instruments, which greatly limits remote monitoring. Therefore, identification of a method characterized by instant monitoring, low cost, and easy operation has become a research hotspot. Paper-based analytical devices (PADs) may provide point-of-care diagnostics with a potential solution [68,69,70,71,72,73,74,75,76,77,78,79], as summarized in Table 5. The schematic assembly of the PAD reported by Noiphung et al. [70] is shown in Figure 11.
Zhang et al. [71], utilizing electrokinetic stacking (ES) based on a colorimetric reaction on a PAD, achieved nitrite detection on a smartphone. The sensitivity can be improved by 160-fold for nitrite under optimum circumstances (LOD: 73 ng/mL (0.86 μM)). Using this method, high recovery (91.0~108.7%) and good reproducibility (RSD < 9%) were obtained.
PADs were used to measure nitrite concentration in artificial saliva by the Griess reaction for 30 min and absorbance measurement at 548 nm with a UV–Vis spectrometer [72]. Within the 0.1−2.4 mg/dL range, satisfactory linearity of nitrite was obtained.
The advantages of PADs include low cost, rapid diagnosis, satisfactory response ranges, long stability and environmental friendliness [71]. As another direction of PADs and an emerging category of point-of-care devices, microfluidic PADs (µPADs) are able to integrate simple paper strip tests with the properties of conventional microfluidic devices [72,73,74,79]. The schematic assembly of the μPAD for the nitrite (A) and nitrate (b) reported by Ferreira et al. [74] is shown in Figure 12.
de Oliveira et al. [76] reported that the nitrite LODs were 2.34 µM and 4.35 µM in artificial urine samples using 2D and 3D devices. Ferreira et al. [77] reported a microfluidic technique with reference to the Griess reaction and reduction of nitrate to nitrite by NADPH reductase and the incubation time of this method was 20 min. Over the range from 0.14 mmol to 1 mmol, the linearity was preferable. An LOD of 40 µM, LOQ of 140 µM and RSD < 8% were obtained using this method.
Bhakta et al. [75] developed a μPAD fabricated with wax printing to detect nitrite by a colorimetric reaction associated with the Griess reaction. In the 10 μmol/L−1000 μmol/L range, visual determination of nitrite showed good linearity with an LOD of 10 µM.
Microfluidic chip technology is fast and can achieve on-site monitoring. However, the optimization of various conditions in the production of microfluidic chips is time- and labor-consuming, and a μPAD is mostly combined with a colorimetric method; thus, its sensitivity may not meet the needs for monitoring low concentrations in samples.
Gaikwad et al. [78] reported a fluorescence-based microfluidic method to improve the sensitivity of μPADs. In the range of 0 µM−20 µM, there was good linearity, and sensitivity was greatly improved (LOD: 60 nM). Therefore, μPADs can be combined with fluorescence assays, immunoassays and other techniques, in addition to colorimetric assays, to analyze biological samples.

3.7. Electrochemical Sensors

Various electrochemical sensors have been employed to measure nitrite, where neither complex devices nor specimen preparation procedures are required [80,81,82,83,84,85,86,87,88,89,90,91]. We summarize these electrochemical sensors in Table 6. Considering the rapid response, selectivity, simplicity, repeatability, sensitivity and the advantages involving simple operation, chemically modified electrodes (CMEs) are increasingly used to detect nitrite content in biological samples. In recent years, nano materials as electrochemical sensors have attracted great interest in this field [80,81,82,83,84,85,86,87]. In addition, as a robust, speedy, precise and calibration-free method for ion detection in water specimens developed from ion selective membranes, thin layer coulometric detection has attracted considerable attention. Cardoso et al. [88] fabricated a custom-made coulometric cell for nitrite detection, which was composed of a counter (CE) and working electrode (WE) made of Ag/AgCl. The LOD of this method was 10 μM.
Caetano et al. [89] reported that a screen-printed electrode (SPE)/MWCNT could be combined with batch-injection amperometric (BIA) for detection of nitrite. Good linearity was obtained for nitrite over the 1 mmol/L−500 mmol/L range. The LOD of this method was 60 μM. Moreover, batch injection analysis with multiple-pulse amperometric (BIA-MPA) detection had high accuracy (RSD < 1.3%) and speed (160/h) in addition to being free from sample–matrix interferences.
In particular, Gross et al. [90] applied a dual-plate microtrench (inter-electrode gap at approximately 15 µm) made of gold-coated glass to a smart electrode. This method is simpler than the use of complex modified electrodes and is sensitive (LOD of 24 μM).
Cardoso et al. [91] developed a method for measuring nitrite in urine and saliva using 3D-printed graphene-polylactic acid (PLA) electrodes, which were manufactured using 3D printing technology and could be mass produced. Satisfactory results were obtained, with recoveries of 70–110%, an LOD of 0.03 μmol, and favorable linearity within 0.5–250 μmol.
Electrochemical sensors, particularly those based on nanomaterials, have remarkable selectivity; they do not require complicated sample pretreatment and can be used for detection in serum, urine, and saliva after direct dilution. Although they have many advantages (e.g., high sensitivity and no tedious pretreatment), their disadvantage is the complex modification of electrodes.

3.8. GC-MS

GC-MS has become an alternative of interest due to its superior separating efficiency and outstanding selectivity along with preferable sensitivity. GC-MS requires derivatization under general conditions.
Urine nitrite level was determined using GC-MS after NAT derivatization by Liu et al. [17]. The method was sensitive (LOD: 1 ng/mL) with good repeatability (RSD: 3.19~4.06%).
The GC-MS method usually requires PFB-Br derivatization [14,15,58,92,93,94,95], and has good sensitivity and specificity. Its disadvantage is the long derivation time (50 °C for 60 min). The reaction equation is shown in Figure 13.
Hanff et al. [15] employed GC-NCI-MS plus PFB-Br to detect nitrite and nitrate content in human urine and plasma. The LODs of nitrite and nitrate were 0.2 fmol and 4.8 fmol, respectively.
Ata et al. [58] obtained the LOQs and LODs for nitrite (0.04 ng/L and 0.01 ng/L) and nitrate (0.07 ng/L and 0.02 ng/L) via GC-MS combined with PFB-Br derivatization. Compared with HPLC-FD, GC-MS had a higher sensitivity.
Schwarz [16] utilized PFB-Br combined with GC-MS to quantify nitrite in human plasma, erythrocytes, and whole blood with the N15 isotope as the IS (during quantitative measurement, stable isotope-marked anions serve as ideal ISs). The reaction products in this method were stable, sensitive and accurate. However, the reaction time was long and pretreatment was complex. Moreover, LLE was usually used to extract the reaction products. Using toluene and ethyl acetate as the extraction solvents is potentially harmful to the experimenters. Another disadvantage is that the nitrate derivatization product was unstable, resulting in unsatisfactory results for nitrate determination [94,95,96].

3.9. Summary

Although all these techniques have been developed, including spectrophotometry, chemiluminescence, fluorometric, IR, Raman emission, GC-MS, HPLC, and HPLC-MS/MS, the traditional spectrophotometric and colorimetric methods have low sensitivity and susceptibility to matrix interferences. In the case of HPLC, it requires complicated sample pretreatment in order to have high sensitivity and eliminate the matrix interferences; for GC-MS, derivatization is required [9]. Extensive application of CE as a substitution assay for biological specimens has been accomplished due to its merits (e.g., low running cost, strong resolving power, short sample preparation time, and high efficiency) [4,9,10,63]. However, the costly instruments need to be manipulated by professionals and/or complicated specimen preparation techniques for these methods prevent their application in rural and remote regions urgently requiring environmental monitoring of nitrites. The pursuit of rapid testing and portable analytical instruments yielded electrochemical sensors and PAD/μPAD. Electrochemical sensors have sensitivity and simplicity but require modification of the electrode to achieve high sensitivity. PAD/μPAD is fast, can achieve field monitoring, but its sensitivity should be improved and its fabrication is tedious. Overall, it is still challenging for analysts to develop an ideal analytical technique, which is simple, sensitive, specific and portable, to examine nitrite and nitrate content in biological samples.

4. Conclusions

The analytical methods used in the recent decade for nitrite and nitrate detection in biological samples, covering both preprocessing and measuring methods, are comprehensively reviewed in this article. In contrast to previous reviews, the present review emphasizes novel solvents (deep eutectic solvents, ionic liquids, etc.), paper-based analytical devices, materials (polymers, nanomaterials and so on), and electrochemical sensors, all of which are used to extract, separate and measure nitrite and nitrate from biological samples. There are adequate simple pretreatment methods (e.g., ultrafiltration, protein precipitation and dilution) due to the fairly clean sample matrices and simple composition (e.g., urine and saliva). Nevertheless, sample preprocessing with higher complexity is still challenged by matrix effects and sample loss. Hence, it is necessary to identify a larger number of efficient and advanced pretreatment methods such as CPE, IL-DLLME and DESs-DLLME. And we believe that DLLME has a very broad application prospect because of its rapidity, simplicity, low cost, high enrichment factor, negligible consumption of extraction solvents, and environmental benignity.
Until now, spectroscopic methods were the mainstream approaches for nitrite and nitrate measurement in recent years, with the merits of simple operation and low equipment cost. However, their demerits include low sensitivity, high detection limit and interference issues. IC and CE only provide a retention time for nitrate and nitrite identification, which results in limited specificity. Moreover, CE is not a routine technique for anion test identification and has limitations for complex samples. Although LC coupled with UV has low sensitivity and requires complex pretreatment processes, fluorescence detection or mass spectrometry conjugated with LC is feasible to obtain high sensitivity and repeatability. GC-MS on the basis of derivatization with PFB-Br can accurately analyze biological samples for nitrite and nitrate concentrations simultaneously and quantify them by adding a stable isotope-labeled internal standard, which can effectively avoid experimental errors and greatly improve quantification accuracy. The development of rapid, economical and green methods with high sensitivity and throughput for the assay of nitrite and nitrate is expected to be the mainstream direction of research in the future. As far as we are concerned, paper-based analytical devices are worth popularizing because of their instant monitoring, low cost, easy operation, satisfactory response ranges, long stability and environmental friendliness.

Author Contributions

Review compilation and final editing, L.G.; structure composition, L.G.; table creation, H.G. and E.Z.; figure plotting, H.G. and H.Y.; reference retrieval, W.Z.; editing and proofreading, G.L. The manuscript in the published version has been read and agreed with by all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Department of Science and Technology of Liaoning Province (2021-MS-203) and College Students’ Innovation and Entrepreneurship Competition of China Medical University (X202310159117).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The article only utilizes available data from this study.

Conflicts of Interest

No conflict of interest is declared by the authors.

Sample Availability

Not applicable.

Abbreviations

AHNDMS4-amino-5-hydroxynaphthalene-2,7-disulphonic acid monosodium salt
4-ATP4-aminothiophenol
ATPEaqueous two-phase extraction
BGEback ground electrolyte
BIAMPAbatch injection analysis with multiple-pulse amperometric
BPSbathophenanthroline disulfonic acid
BSA-Au NCsbovine serum albumin stabilized gold nanoclusters
CIAcapillary ion analysis
CMEchemically modified electrode
CNTcarbon nanotube
CPEcloud point extraction
CEcapillary electrophoresis
CZEcapillary zone electrophoresis
DADdiode array detection
DLLMEdispersive liquid–liquid microextraction
DESsdeep eutectic solvents
DAN2,3-diaminonaphthalene
ESelectrokinetic stacking
EFenrichment factor
ERextraction recovery
EOFelectroosmotic flow
FDfluorescence detection
FIAflow injection analysis
GC-MSgas chromatography-mass spectrometry
GC-NCI-MSgas chromatography-negative chemical ionization-mass spectrometry
GQDsgraphene quantum dots
HP-β-CDhydroxypropyl-β-cyclo-dextrin
HPLChigh performance liquid chromatography
HS-SDMEheadspace Single drop liquid phase microextraction
ICion chromatography
ILsionic liquids
LLEliquid–liquid extraction
LPMEliquid phase microextraction
LC-MS/MSliquid chromatography-tandem mass spectrometry
LODlimit of detection
LOQlimit of quantification
ME-ECmicrochip electrophoresis method with electrochemical detection
MNPSmagnetic nanoparticles
NAT2,3-naphthotriazole
NCsnanoclusters
NIR-CDsnear-infrared carbon dots
NO2nitrite
NO3nitrate
NOnitric oxide
PADSpaper-based analytical devices
PDAphoto-diode array
PDMSpolydimethylsiloxane
PLApolylactic acid
SIAsequential injection analysis
SPEsolid phase extraction
SERSsurface enhancement Raman spectroscopy
TMB3,3′,5,5′-tetramethylbenzidine
µPADsmicrofluidic paper-based analytical devices
UPLCultra performance liquid chromatography
[Ru(npy)([9]aneS3)(CO)](ClO4)(Ru = Ruthenium; npy = 2-(1-naphthyl)pyridine, [9]aneS3 = 1,4,7-trithiacyclononane)

References

  1. Thuy, N.T.D.; Wang, X.; Zhao, G.; Liang, T.; Zou, Z. A Co3O4 Nanoparticle-Modified Screen-Printed Electrode Sensor for the Detection of Nitrate Ions in Aquaponic Systems. Sensors 2022, 22, 9730. [Google Scholar] [CrossRef]
  2. Hikin, L.J.; Ho, J.; Morley, S.R.; Ahluwalia, A.; Smith, P.R. Sodium nitrite poisoning: A series of 20 fatalities in which post-mortem blood nitrite and nitrate concentrations are reported. Forensic Sci. Int. 2023, 345, 111610. [Google Scholar] [CrossRef]
  3. Singh, P.; Singh, M.K.; Beg, Y.R.; Nishad, G.R. A review on spectroscopic methods for determination of nitrite and nitrate in environmental samples. Talanta 2019, 191, 364–381. [Google Scholar] [CrossRef]
  4. Wang, Q.H.; Yu, L.J.; Liu, Y.; Lin, L.; Lu, R.G.; Zhu, J.P.; He, L.; Lu, Z.L. Methods for the detection and determination of nitrite and nitrate: A review. Talanta 2017, 165, 709–720. [Google Scholar] [CrossRef]
  5. Calabrese, V.; Cornelius, C.; Rizzarelli, E.; Owen, J.B.; Dinkova-Kostova, A.T.; Butterfield, D.A. Nitric oxide in cell survival: A janus molecule. Antioxid. Redox Signal. 2009, 11, 2717–2739. [Google Scholar] [CrossRef]
  6. Basu, S.; Ricart, K.; Gladwin, M.T.; Patel, R.P.; Kim-Shapiro, D.B. Tri-iodide and vanadium chloride based chemiluminescent methods for quantification of nitrogen oxides. Nitric Oxide 2022, 121, 11–19. [Google Scholar] [CrossRef]
  7. Moorcroft, M.J.; Davis, J.; Compton, R.G. Detection and determination of nitrate and nitrite: A review. Talanta 2001, 54, 785–803. [Google Scholar] [CrossRef]
  8. Tsikas, D. Methods of quantitative analysis of the nitric oxide metabolites nitrite and nitrate in human biological fluids. Free Radic. Res. 2005, 39, 797–815. [Google Scholar] [CrossRef]
  9. Tsikas, D. Analysis of nitrite and nitrate in biological fluids by assays based on the Griess reaction: Appraisal of the Griess reaction in the L-arginine/nitric oxide area of research. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2007, 851, 51–70. [Google Scholar] [CrossRef]
  10. Wu, A.; Duan, T.; Tang, D.; Zheng, Z.; Zhu, J.; Wang, R.; He, B.; Cheng, H.; Feng, L.; Zhu, Q. Review the application of chromatography in the analysis of nitric oxide-derived nitrite and nitrate ions in biological fluids. Curr. Anal. Chem. 2014, 10, 609–621. [Google Scholar] [CrossRef]
  11. Wierzbicka, E. Novel methods of nitrate and nitrite determination—A review. J. Elem. 2020, 25, 97–106. [Google Scholar] [CrossRef]
  12. Nagaraja, P.; Al-Tayar, N.G.; Shivakumar, A.; Shrestha, A.K.; Gowda, A.K. A simple and sensitive spectrophotometric method for the determination of trace amounts of nitrite in environmental and biological samples using 4-amino-5-hydroxynaphthalene-2,7-disulphonic acid monosodium salt. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2010, 75, 1411–1416. [Google Scholar] [CrossRef]
  13. Guo, Y.X.; Zhang, Q.F.; Shangguang, X.; Zhen, G. Spectrofluorimetric determination of trace nitrite with o-phenylenediamine enhanced by hydroxypropyl-β-cyclodextrin. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2013, 101, 107–111. [Google Scholar] [CrossRef]
  14. Tsikas, D. GC-MS Analysis of biological nitrate and nitrite using pentafluorobenzyl bromide in aqueous acetone: A dual role of carbonate/bicarbonate as an enhancer and inhibitor of derivatization. Molecules 2021, 26, 7003. [Google Scholar] [CrossRef]
  15. Hanff, E.; Lützow, M.; Kayacelebi, A.A.; Finkel, A.; Maassen, M.; Yanchev, G.R.; Haghikia, A.; Bavendiek, U.; Buck, A.; Lücke, T.; et al. Simultaneous GC-ECNICI-MS measurement of nitrite, nitrate and creatinine in human urine and plasma in clinical settings. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2017, 1047, 207–214. [Google Scholar] [CrossRef]
  16. Schwarz, A.; Modun, D.; Heusser, K.; Tank, J.; Gutzki, F.M.; Mitschke, A.; Jordan, J.; Tsikas, D. Stable-isotope dilution GC-MS approach for nitrite quantification in human whole blood, erythrocytes, and plasma using pentafluorobenzyl bromide derivatization: Nitrite distribution in human blood. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2011, 879, 1485–1495. [Google Scholar] [CrossRef]
  17. Liu, G.; Liu, J.; Wang, L. Determination of nitrite in urine by 2,3-diaminonaphthalene derivatization-GC-MS. Chin. J. Pubilc Health 2016, 32, 566–568. [Google Scholar]
  18. Zhao, J.; Wang, J.; Yang, Y.; Lu, Y. The determination of nitrate and nitrite in human urine and blood by high-performance liquid chromatography and cloud-point extraction. J. Chromatogr. Sci. 2015, 53, 1169–1177. [Google Scholar] [CrossRef]
  19. Zhao, J.; Lu, Y.; Fan, C.; Wang, J.; Yang, Y. Development of a cloud point extraction and spectrophotometry-based microplate method for the determination of nitrite in human urine and blood. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 2015, 136, 802–807. [Google Scholar] [CrossRef]
  20. Pourreza, N.; Reza Fat’hi, M.; Hatami, A. Indirect cloud point extraction and spectrophotometric determination of nitrite in water and meat products. Microchem. J. 2012, 104, 22–25. [Google Scholar] [CrossRef]
  21. Zuloaga, O.; Olivares, M.; Navarro, P.; Vallejo, A.; Prieto, A. Dispersive liquid-liquid microextraction: Trends in the analysis of biological samples. Bioanalysis 2015, 7, 2211–2225. [Google Scholar] [CrossRef]
  22. Madasamy, T.; Pandiaraj, M.; Balamurugan, M.; Bhargava, K.; Sethy, N.K.; Karunakaran, C. Copper, zinc superoxide dismutase and nitrate reductase coimmobilized bienzymatic biosensor for the simultaneous determination of nitrite and nitrate. Biosens. Bioelectron. 2014, 52, 209–215. [Google Scholar] [CrossRef]
  23. Senra-Ferreiro, S.; Pena-Pereira, F.; Lavilla, I.; Bendicho, C. Griess micro-assay for the determination of nitrite by combining fibre optics-based cuvette less UV-vis micro-spectrophotometry with liquid-phase microextraction. Anal. Chim. Acta 2010, 668, 195–200. [Google Scholar] [CrossRef]
  24. He, L.; Zhang, K.; Wang, C.; Luo, X.; Zhang, S. Effective indirect enrichment and determination of nitrite ion in water and biological samples using ionic liquid-dispersive liquid-liquid microextraction combined with high-performance liquid chromatography. J. Chromatogr. A 2011, 1218, 3595–3600. [Google Scholar] [CrossRef]
  25. Zhang, K.; Li, S.; Liu, C.; Wang, Q.; Wang, Y.; Fan, J. A hydrophobic deep eutectic solvent-based vortex-assisted dispersive liquid-liquid microextraction combined with HPLC for the determination of nitrite in water and biological samples. J. Sep. Sci. 2019, 42, 574–581. [Google Scholar] [CrossRef]
  26. Hu, C.-W.; Chang, Y.-J.; Yen, C.-C.; Chen, J.-L.; Muthukumaran, R.B.; Chao, M.-R. 15N-labelled nitrite/nitrate tracer analysis by LC-MS/MS: Urinary and fecal excretion of nitrite/nitrate following oral administration to mice. Free Radic. Biol. Med. 2019, 143, 193–202. [Google Scholar] [CrossRef]
  27. Yang, R.; Lin, Y.; Yang, J.; He, L.; Tian, Y.; Hou, X.; Zheng, C. Headspace solid-phase microextraction following chemical vapor generation for ultrasensitive, matrix effect-free detection of nitrite by microplasma optical emission spectrometry. Anal. Chem. 2021, 93, 6972–6979. [Google Scholar] [CrossRef]
  28. Liu, C.; Qiu, X.; Zhao, J.; Yang, Y. Aqueous two-phase extraction and spectrofluorimetric determination of nitrite with o-phenylenediamine enhanced by hydroxypropyl-β-cyclodextrin in urine samples. Anal. Methods 2014, 6, 463. [Google Scholar] [CrossRef]
  29. Tan, T.Y.; Basheer, C.; Ng, K.P.; Lee, H.K. Electro membrane extraction of biological anions with ion chromatographic analysis. Anal. Chim. Acta 2012, 739, 31–36. [Google Scholar] [CrossRef]
  30. Hanff, E.; Böhmer, A.; Jordan, J.; Tsikas, D. Stable-isotope dilution LC-MS/MS measurement of nitrite in human plasma after its conversion to S-nitrosoglutathione. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2014, 970, 44–52. [Google Scholar] [CrossRef]
  31. Croitoru, M.D. Nitrite and nitrate can be accurately measured in samples of vegetal and animal origin using an HPLC-UV/VIS technique. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2012, 911, 154–161. [Google Scholar] [CrossRef] [PubMed]
  32. Yan, H.; Zhuo, X.; Shen, B.; Xiang, P.; Shen, M. Determination of nitrite in whole blood by high-performance liquid chromatography with electrochemical detection and a case of nitrite poisoning. J. Forensic Sci. 2016, 61, 254–258. [Google Scholar] [CrossRef] [PubMed]
  33. Wang, X.; Masschelein, E.; Hespel, P.; Adams, E.; Van Schepdael, A. Simultaneous determination of nitrite and nitrate in human plasma by on-capillary preconcentration with field-amplified sample stacking. Electrophoresis 2012, 33, 402–405. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, X.; Adams, E.; Van Schepdael, A. A fast and sensitive method for the determination of nitrite in human plasma by capillary electrophoresis with fluorescence detection. Talanta 2012, 97, 142–144. [Google Scholar] [CrossRef]
  35. Pandurangappa, M.; Venkataramanappa, Y. Nitrite/nitrate speciation through arsenomolybdenum blue complex at trace level: Application to biological and environmental samples. Anal. Methods 2011, 3, 1838–1844. [Google Scholar] [CrossRef]
  36. Piknova, B.; Schechter, A.N. Measurement of nitrite in blood samples using the ferricyanide-based hemoglobin oxidation assay. Methods Mol. Biol. 2011, 704, 39–56. [Google Scholar]
  37. Vahid, S.; Dashti-Khavidaki, S.; Sormaghi, M.S.; Ahmadi, F.; Amini, M. A new pre-column derivatization method for determination of nitrite and nitrate in human plasma by HPLC. J. Liq. Chromatogr. Relat. Technol. 2012, 35, 805–818. [Google Scholar] [CrossRef]
  38. Zhan, S.; Shao, Q.; Liu, L.; Fan, X. A simple and accurate method to determine nitrite and nitrate in serum based on high-performance liquid chromatography with fluorescence detection. Biomed. Chromatogr. 2013, 27, 1547–1553. [Google Scholar]
  39. Badiee, H.; Zanjanchi, M.A.; Zamani, A.; Fashi, A. Solvent stir bar microextraction technique with three-hollow fiber configuration for trace determination of nitrite in river water samples. Environ. Sci. Pollut. Res. Int. 2019, 26, 32967–32976. [Google Scholar] [CrossRef]
  40. Zhang, K.; Kujawski, D.; Spurrell, C.; Wang, B.; Crittenden, J.C. Screening ionic liquids for efficiently extracting perfluoroalkyl chemicals (PFACs) from wastewater. J. Environ. Sci. 2023, 127, 866–874. [Google Scholar] [CrossRef]
  41. Xiao, Z.; Liu, M.; Bi, W.; Chen, D.D.Y. Ionic liquid as hydrogen bond acceptor in the extraction of nutritional natural products. Food Chem. 2023, 412, 135589. [Google Scholar] [CrossRef] [PubMed]
  42. Zhou, L.; Wu, T.; Yu, C.; Liu, S.; Pan, C. Ionic liquid-dispersive micro-extraction and detection by high performance liquid chromatography-mass spectrometry for antifouling biocides in water. Molecules 2023, 28, 1263. [Google Scholar] [CrossRef] [PubMed]
  43. Song, J.; Liu, S.; Zhao, N.; Zhao, L. A new fluorescent probe based on metallic deep eutectic solvent for visual detection of nitrite and pH in food and water environment. Food Chem. 2023, 398, 133935. [Google Scholar] [CrossRef] [PubMed]
  44. Lo, H.S.; Lo, K.W.; Yeung, C.F.; Wong, C.Y. Rapid visual and spectrophotometric nitrite detection by cyclometalated ruthenium complex. Anal. Chim. Acta 2017, 990, 135–140. [Google Scholar] [CrossRef]
  45. Ghasemi, A.; Zahediasl, S. Preanalytical and analytical considerations for measuring nitric oxide metabolites in serum or plasma using the Griess method. Clin. Lab. 2012, 58, 615–624. [Google Scholar] [PubMed]
  46. Unnikrishnan, B.; Wei, S.C.; Chiu, W.J.; Cang, J.; Hsu, P.H.; Huang, C.C. Nitrite ion-induced fluorescence quenching of luminescent BSA-Au(25) nanoclusters: Mechanism and application. Analyst 2014, 139, 2221–2228. [Google Scholar] [CrossRef]
  47. Jin, L.; Wang, Y.; Liu, F.; Yu, S.; Gao, Y.; Zhang, J. The determination of nitrite by a graphene quantum dot fluorescence quenching method without sample pretreatment. Luminescence 2018, 33, 289–296. [Google Scholar] [CrossRef]
  48. Ning, G.; Mu, P.; Li, B.; Liu, J.; Xiao, Q.; Huang, S. Fluorine and nitrogen co-doped near-infrared carbon dots for fluorescence “on-off-on” determination of nitrite. Microchim. Acta 2022, 189, 230. [Google Scholar] [CrossRef]
  49. Di Fenza, R.; Yu, B.; Carroll, R.W.; Berra, L. Chemiluminescence-based assays for detection of nitric oxide and its derivatives from autoxidation and nitrosated compounds. J. Vis. Exp. 2022, 180, e63107. [Google Scholar] [CrossRef]
  50. Piknova, B.; Park, J.W.; Cassel, K.S.; Gilliard, C.N.; Schechter, A.N. Measuring nitrite and nitrate, metabolites in the nitric oxide pathway, in biological materials using the chemiluminescence method. J. Vis. Exp. 2016, 118, 54879. [Google Scholar]
  51. Siu, V.S.; Lu, M.; Hsieh, K.Y.; Raines, K.; Asaad, Y.A.; Patel, K.; Afzali-Ardakani, A.; Wen, B.; Budd, R. Toward a quantitative colorimeter for point-of-care nitrite detection. ACS Omega 2022, 7, 11126–11134. [Google Scholar] [CrossRef] [PubMed]
  52. Moazeni, M.; Gholipour, S.; Mahaki, B.; Ebrahimi, A. Short-Term Impact of Two Kinds of Vegetables to Exogenous Total Nitrate and Nitrite Intake: Is Antibacterial Mouthwash Influential? Int. J. Prev. Med. 2021, 12, 168. [Google Scholar] [PubMed]
  53. Xiao, N.; Yu, C. Rapid-response and highly sensitive noncross-linking colorimetric nitrite sensor using 4-aminothiophenol modified gold nanorods. Anal. Chem. 2010, 82, 3659–3663. [Google Scholar] [CrossRef]
  54. Xia, Q.; Mao, Y.; Wu, J.; Shu, T.; Yi, T. Two-component organogel for visually detecting nitrite anion. J. Mater. Chem. C 2014, 10, 1854–1861. [Google Scholar] [CrossRef]
  55. Zhang, J.; Yang, C.; Chen, C.; Yang, X. Determination of nitrite and glucose in water and human urine with light-up chromogenic response based on the expeditious oxidation of 3,3’,5,5’-tetramethylbenzidine by peroxynitrous acid. Analyst 2013, 138, 2398–2404. [Google Scholar] [CrossRef]
  56. Zhang, K.; Hu, Y.; Li, G. Diazotization-coupling reaction-based selective determination of nitrite in complex samples using shell-isolated nanoparticle-enhanced Raman spectroscopy. Talanta 2013, 116, 712–718. [Google Scholar] [CrossRef]
  57. Chen, J.; Pang, S.; He, L.; Nugen, S.R. Highly sensitive and selective detection of nitrite ions using Fe3O4@SiO2/Au magnetic nanoparticles by surface-enhanced Raman spectroscopy. Biosens. Bioelectron. 2016, 85, 726–733. [Google Scholar] [CrossRef] [PubMed]
  58. Ata, Ş.; Akyüz, M.; Dinç, E. Chemometric approach to the optimisation of LC-FL and GC-MS methods for the determination of nitrite and nitrate in some biological, food and environmental samples. Int. J. Environ. Anal. Chem. 2016, 96, 636–652. [Google Scholar] [CrossRef]
  59. Tatarczak-Michalewska, M.; Flieger, J.; Kawka, J.; Płaziński, W.; Flieger, W.; Blicharska, E.; Majerek, D. HPLC-DAD Determination of nitrite and nitrate in human saliva utilizing a phosphatidylcholine column. Molecules 2019, 24, 1754. [Google Scholar] [CrossRef]
  60. Burhan, A.; Vyas, B. Simultaneous determination of nitrite and nitrate by ultra-performance liquid chromatography in rat plasma. Int. J. Pharm. Pharm. Sci. 2016, 8, 294–296. [Google Scholar]
  61. Wu, A.; Duan, T.; Tang, D.; Xu, Y.; Feng, L.; Zheng, Z.; Zhu, J.; Wang, R.; Zhu, Q. Determination of nitric oxide-derived nitrite and nitrate in biological samples by HPLC coupled to nitrite oxidation. Chromatographia 2013, 76, 1649–1655. [Google Scholar] [CrossRef] [PubMed]
  62. Bramanti, E.; Angeli, V.; Mester, Z.; Pompella, A.; Paolicchi, A.; D’Ulivo, A. Determination of S-nitrosoglutathione in plasma: Comparison of two methods. Talanta 2010, 81, 1295–1299. [Google Scholar] [CrossRef] [PubMed]
  63. Tsikas, D.; Schmidt, M.; Böhmer, A.; Zoerner, A.A.; Gutzki, F.M.; Jordan, J. UPLC-MS/MS measurement of S-nitrosoglutathione (GSNO) in human plasma solves the S-nitrosothiol concentration enigma. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2013, 927, 147–157. [Google Scholar] [CrossRef] [PubMed]
  64. Kim, M.; Kim, S.; Yang, W.; Sim, J. Determination of nitrite and nitrate in postmortem whole blood samples of 10 sodium nitrite poisoning cases: The importance of nitrate in determining nitrite poisoning. Forensic Sci. Int. 2022, 335, 111279. [Google Scholar] [CrossRef] [PubMed]
  65. Zhang, Y.; Yang, L.; Tian, X.; Guo, Y.; Tang, W.; Yu, A.; Zhang, W.; Sun, B.; Zhang, S. Determination of trace nitrites and nitrates in human urine and plasma by field amplified sample stacking open tubular capillary electrochromatography in a nanolatex coated capillary. J. Anal. Chem. 2015, 70, 885–891. [Google Scholar] [CrossRef]
  66. Taus, F.; Pigaiani, N.; Bortolotti, F.; Mazzoleni, G.; Brevi, M.; Tagliaro, F.; Gottardo, R. Direct and specific analysis of nitrite and nitrate in biological and non-biological samples by capillary ion analysis for the rapid identification of fatal intoxications with sodium nitrite. Forensic Sci. Int. 2021, 325, 110855. [Google Scholar] [CrossRef]
  67. Siegel, J.M.; Schilly, K.M.; Wijesinghe, M.B.; Caruso, G.; Fresta, C.G.; Lunte, S.M. Optimization of a microchip electrophoresis method with electrochemical detection for the determination of nitrite in macrophage cells as an indicator of nitric oxide production. Anal. Methods 2019, 11, 148–156. [Google Scholar] [CrossRef]
  68. Gong, M.M.; Sinton, D. Turning the page: Advancing paper-based microfluidics for broad diagnostic application. Chem. Rev. 2017, 117, 8447–8480. [Google Scholar] [CrossRef]
  69. Yang, Y.; Noviana, E.; Nguyen, M.P.; Geiss, B.J.; Dandy, D.S.; Henry, C.S. Paper-based microfluidic devices: Emerging themes and applications. Anal. Chem. 2017, 89, 71–91. [Google Scholar] [CrossRef]
  70. Noiphung, J.; Nguyen, M.P.; Punyadeera, C.; Wan, Y.; Laiwattanapaisal, W.; Henry, C.S. Development of paper-based analytical devices for minimizing the viscosity effect in human saliva. Theranostics 2018, 8, 3797–3807. [Google Scholar] [CrossRef]
  71. Zhang, X.X.; Song, Y.Z.; Fang, F. Sensitive paper-based analytical device for fast colorimetric detection of nitrite with smartphone. Anal. Bioanal. Chem. 2018, 410, 2665–2669. [Google Scholar] [CrossRef] [PubMed]
  72. Evans, E.; Moreira Gabriel, E.F.; Benavidez, T.E.; Tomazelli Coltro, W.K.; Garcia, C.D. Modification of microfluidic paper-based devices with silica nanoparticles. Analyst 2014, 139, 5560–5567. [Google Scholar] [CrossRef] [PubMed]
  73. Yetisen, A.K.; Akram, M.S.; Lowe, C.R. Paper-based microfluidic point-of-care diagnostic devices. Lab. Chip. 2013, 13, 2210–2251. [Google Scholar] [CrossRef] [PubMed]
  74. Ferreira, F.T.S.M.; Mesquita, R.B.R.; Rangel, A.O.S.S. Novel microfluidic paper-based analytical devices (μPADs) for the determination of nitrate and nitrite in human saliva. Talanta 2020, 219, 121183. [Google Scholar] [CrossRef] [PubMed]
  75. Bhakta, S.A.; Borba, R.; Taba, M.J.; Garcia, C.D.; Carrilho, E. Determination of nitrite in saliva using microfluidic paper-based analytical devices. Anal. Chim. Acta 2014, 809, 117–122. [Google Scholar] [CrossRef]
  76. De Oliveira, R.A.G.; Camargo, F.; Pesquero, N.C.; Faria, R.C. A simple method to produce 2D and 3D microfluidic paper-based analytical devices for clinical analysis. Anal. Chim. Acta 2017, 957, 40–46. [Google Scholar] [CrossRef]
  77. Ferreira, F.T.S.M.; Mesquita, R.B.R.; Rangel, A.O.S.S. Design and functionalization of a µPAD for the enzymatic determination of nitrate in urine. Molecules 2021, 26, 6355. [Google Scholar] [CrossRef]
  78. Gaikwad, R.; Thangaraj, P.R.; Sen, A.K. Microfluidics-based rapid measurement of nitrite in human blood plasma. Analyst 2022, 147, 3370–3382. [Google Scholar] [CrossRef]
  79. Martinez, A.W.; Phillips, S.T.; Whitesides, G.M.; Carrilho, E. Diagnostics for the developing world: Microfluidic paper-based analytical devices. Anal. Chem. 2010, 82, 3–10. [Google Scholar] [CrossRef]
  80. Rajesh, S.; Kanugula, A.K.; Bhargava, K.; Ilavazhagan, G.; Kotamraju, S.; Karunakaran, C. Simultaneous electrochemical determination of superoxide anion radical and nitrite using Cu, ZnSOD immobilized on carbon nanotube in polypyrrole matrix. Biosens. Bioelectron. 2010, 26, 689–695. [Google Scholar] [CrossRef]
  81. Zhang, Y.; Yuan, R.; Chai, Y.; Li, W.; Zhong, X.; Zhong, H. Simultaneous voltammetric determination for DA, AA and NO2 based on graphene/poly-cyclodextrin/MWCNTs nanocomposite platform. Biosens. Bioelectron. 2011, 26, 3977–3980. [Google Scholar] [CrossRef] [PubMed]
  82. Wang, C.; Yuan, R.; Chai, Y.; Zhang, Y.; Hu, F.; Zhang, M. Au-nanoclusters incorporated 3-amino-5-mercapto-1,2,4-triazole film modified electrode for the simultaneous determination of ascorbic acid, dopamine, uric acid and nitrite. Biosens. Bioelectron. 2011, 30, 315–319. [Google Scholar] [CrossRef] [PubMed]
  83. Zhang, W.; Yuan, R.; Chai, Y.; Zhang, Y.; Chen, S. A simple strategy based on lanthanum–multiwalled carbon nanotube nanocomposites for simultaneous determination of ascorbic acid, dopamine, uric acid and nitrite. Sens. Actuators B Chem. Sens. Actuators B 2012, 166–167, 601–607. [Google Scholar] [CrossRef]
  84. Wang, C.; Yuan, R.; Chai, Y.; Chen, S.; Zhang, Y.; Hu, F.; Zhang, M. Non-covalent iron(III)-porphyrin functionalized multi-walled carbon nanotubes for the simultaneous determination of ascorbic acid, dopamine, uric acid and Nitrite. Electrochim. Acta 2012, 62, 109–115. [Google Scholar] [CrossRef]
  85. Yang, Y.; Li, W. CTAB functionalized graphene oxide/multiwalled carbon nanotube composite modifified electrode for the simultaneous determination of ascorbic acid, dopamine, uric acid and nitrite. Biosens. Bioelectron. 2014, 56, 300–306. [Google Scholar] [CrossRef] [PubMed]
  86. Balamurugan, M.; Madasamy, T.; Pandiaraj, M.; Bhargava, K.; Sethy, N.K.; Karunakaran, C. Electrochemical assay for the determination of nitric oxide metabolites using copper(II) chlorophyllin modified screen printed electrodes. Anal. Biochem. 2015, 478, 121–127. [Google Scholar] [CrossRef]
  87. Riahifar, V.; Haghnazari, N.; Keshavarzi, F.; Nasri, F. Design a high sensitive electrochemical sensor based on immobilized cysteine on Fe3O4@Au core-shell nanoparticles and reduced graphene oxide nanocomposite for nitrite monitoring. Microchem. J. 2021, 166, 106217. [Google Scholar] [CrossRef]
  88. Afshar, M.G.; Crespo, G.A.; Dorokhin, D.; Néel, B.; Bakker, E. Thin layer coulometry of nitrite with ion-selective membranes. Electroanalysis 2015, 27, 609–615. [Google Scholar] [CrossRef]
  89. Caetano, L.P.; Lima, A.P.; Tormin, T.F.; Richter, E.M.; Espindola, F.S.; Botelho, F.V.; Munoz, R.A.A. Carbon-nanotube modified screen-printed electrode for the simultaneous determination of nitrite and uric acid in biological fluids using batch-injection amperometric detection. Electroanalysis 2018, 30, 1870–1879. [Google Scholar] [CrossRef]
  90. Gross, A.J.; Holmes, S.; Dale, S.E.; Smallwood, M.J.; Green, S.J.; Winlove, C.P.; Benjamin, N.; Winyard, P.G.; Marken, F. Nitrite/nitrate detection in serum based on dual-plate generator-collector currents in a microtrench. Talanta 2015, 131, 228–235. [Google Scholar] [CrossRef]
  91. Cardoso, R.M.; Silva, P.R.L.; Lima, A.P.; Rocha, D.P.; Oliveira, T.C.; do Prado, T.M.; Fava, E.L.; Fatibello-Filho, O.; Richter, E.M.; Munoz, R.A.A. 3D-Printed graphene/polylactic acid electrode for bioanalysis: Biosensing of glucose and simultaneous determination of uric acid and nitrite in biological fluids. Sens. Actuators B Chem. 2020, 307, 127621. [Google Scholar] [CrossRef]
  92. Tsikas, D. Pentafluorobenzyl bromide—A versatile derivatization agent in chromatography and mass spectrometry: I. Analysis of inorganic anions and organophosphates. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2017, 1043, 187–201. [Google Scholar] [CrossRef] [PubMed]
  93. Tsikas, D.; Suchy, M.T.; Mitschke, A.; Beckmann, B.; Gutzki, F.M. Measurement of nitrite in urine by gas chromatography-mass spectrometry. Methods Mol. Biol. 2012, 844, 277–293. [Google Scholar] [PubMed]
  94. Tsikas, D.; Schwarz, A.; Stichtenoth, D.O. Simultaneous measurement of [15N]nitrate and [15N]nitrite enrichment and concentration in urine by gas chromatography mass spectrometry as pentaflfluorobenzyl derivatives. Anal. Chem. 2010, 82, 2585–2587. [Google Scholar] [CrossRef]
  95. Tsikas, D. GC-MS Studies on Nitric Oxide Autoxidation and S-Nitrosothiol Hydrolysis to Nitrite in pH-Neutral Aqueous Buffers: Definite Results Using 15N and 18O Isotopes. Molecules 2023, 28, 4281. [Google Scholar] [CrossRef]
  96. Houben, E.; Hamer, H.M.; Luypaerts, A.; De Preter, V.; Evenepoel, P.; Rutgeerts, P.; Verbeke, K. Quantifification of 15N-nitrate in urine with gas chromatography combustion isotope ratio mass spectrometry to estimate endogenous NO production. Anal. Chem. 2010, 82, 601–607. [Google Scholar] [CrossRef]
Figure 1. The process of CPE.
Figure 1. The process of CPE.
Molecules 28 07122 g001
Figure 2. The common procedure of DLLME.
Figure 2. The common procedure of DLLME.
Molecules 28 07122 g002
Figure 3. Schematic of EME. Reproduced from ref. [29].
Figure 3. Schematic of EME. Reproduced from ref. [29].
Molecules 28 07122 g003
Figure 4. Various analytical methods for assessing nitrate and/or nitrite in biological specimens.
Figure 4. Various analytical methods for assessing nitrate and/or nitrite in biological specimens.
Molecules 28 07122 g004
Figure 5. Griess reaction (nitrite reacts with p-aminobenzenesulfonic acid in acid conditions, and then reacts with 1-naphtylamine).
Figure 5. Griess reaction (nitrite reacts with p-aminobenzenesulfonic acid in acid conditions, and then reacts with 1-naphtylamine).
Molecules 28 07122 g005
Figure 6. Diazotization of [Ru(npy)([9]aneS3)(CO)](ClO4) ruthenium complex.
Figure 6. Diazotization of [Ru(npy)([9]aneS3)(CO)](ClO4) ruthenium complex.
Molecules 28 07122 g006
Figure 7. The chemiluminescence reaction of nitric oxide with ozone (* Represents an excited state).
Figure 7. The chemiluminescence reaction of nitric oxide with ozone (* Represents an excited state).
Molecules 28 07122 g007
Figure 8. Principle of the nitrite reaction with 4-ATP on Fe3O4@SiO2/Au MNPs.
Figure 8. Principle of the nitrite reaction with 4-ATP on Fe3O4@SiO2/Au MNPs.
Molecules 28 07122 g008
Figure 9. Reaction between p-nitroaniline and nitrite ion, with acid media containing diphenylamine.
Figure 9. Reaction between p-nitroaniline and nitrite ion, with acid media containing diphenylamine.
Molecules 28 07122 g009
Figure 10. Interaction between DAN and nitrite for NAT production.
Figure 10. Interaction between DAN and nitrite for NAT production.
Molecules 28 07122 g010
Figure 11. Image of the PAD and scheme for pH and nitrite determination. Step 1 describes the process for naked eye determination of the pH. The black circle indicates the position for pH measurement. The color inside the black circle is then compared to the pH color scale for pH determination. Step 2 describes the process for quantifying color intensity measuring using the program Photoshop® (version 23) for nitrite concentration determination. The concentration of nitrite in saliva samples was calculated from the calibration curve. Reproduced from ref. [70].
Figure 11. Image of the PAD and scheme for pH and nitrite determination. Step 1 describes the process for naked eye determination of the pH. The black circle indicates the position for pH measurement. The color inside the black circle is then compared to the pH color scale for pH determination. Step 2 describes the process for quantifying color intensity measuring using the program Photoshop® (version 23) for nitrite concentration determination. The concentration of nitrite in saliva samples was calculated from the calibration curve. Reproduced from ref. [70].
Molecules 28 07122 g011
Figure 12. Schematic assembly of the μPAD for the nitrite (A) and nitrate (B) determination and the schematic representation of the device after sample placement; (C); L1, top layer of the laminating pouch; L2, bottom layer of the laminating pouch; E1, empty layer; G1, Griess reagent layer (5 μL per disc); Z, zinc embedded layer; E2, empty layer; G2, Griess reagent layer (10 μL per disc). Reproduced from ref. [74].
Figure 12. Schematic assembly of the μPAD for the nitrite (A) and nitrate (B) determination and the schematic representation of the device after sample placement; (C); L1, top layer of the laminating pouch; L2, bottom layer of the laminating pouch; E1, empty layer; G1, Griess reagent layer (5 μL per disc); Z, zinc embedded layer; E2, empty layer; G2, Griess reagent layer (10 μL per disc). Reproduced from ref. [74].
Molecules 28 07122 g012
Figure 13. The PFB-Br scheme derivatization for nitrite.
Figure 13. The PFB-Br scheme derivatization for nitrite.
Molecules 28 07122 g013
Table 1. The summary of the pretreatment of nitrite and nitrate in biological samples.
Table 1. The summary of the pretreatment of nitrite and nitrate in biological samples.
Pretreatment MethodsDerivatization ReagentsAnalytical TechniqueAnalyteMatrixRecoveriesPrecisionRef.
Centrifugation and dilutionAHNDMSSpectrophotometrynitritesaliva98%<0.82%[12]
Centrifugation/FiltrationgriessSpectrofluorimetrynitritewater, sausage, soil95–108%<2.88%[13]
Centrifugation/LLEPFB-BrGC-MSnitrite nitrateblood92–99%<16.1%[16]
Protein precipitationPFB-BrGC-MSnitrite nitrateerythrocytes, plasma95–113%0.2–16.2%[16]
Centrifugation/
ultrafiltration
glutathioneLC-MS/MSnitriteplasma92–108%<4.4%[30]
Protein precipitationgriessHPLC-UVnitrite nitrateplasman.d.n.d.[31]
Protein precipitation/IC-EDnitriteblood56–72%<14.9%[32]
Protein precipitationNOCE- fluorescencenitrite nitrateplasma92–113%<2.6%[33]
Protein precipitationDANCE- fluorescencenitriteplasma85–112%<1.1%[34]
Protein precipitationarsenateSpectrophotometrynitrite nitrateblood99–101%<2.1%[35]
Protein precipitation/ATPEOPESpectrofluorimetrynitriteurine93–105%<1.7%[28]
Protein precipitationI3Chemiluminescencenitritebloodn.d.n.d.[36]
Dilution/online SPEDANLC-MS/MSnitrite nitrateurine99–112%<7.4%[26]
Soak, vortex, ultrasonic, centrifugation/online SPEDANLC-MS/MSnitrite nitratefeces99–112%<7.4%[26]
LLEPFB-BrGC-MSnitrite nitrateurinen.d.n.d.[14]
LLEPFB-BrGC-MSnitrite nitrateurine91–113%0.92–19%[15]
LLEDANGC-MSnitriteurine90–113%<5.16%[17]
LLEgriessHPLC-UVnitrite nitratehuman plasma98–102%<8.77%[37]
CPEgriessHPLC-DADnitrite nitrateplasma, urine90–98%<4.19%[18]
CPEgriessspectrophotometrynitriteurine, blood92–101%n.d.[19]
CPEgriessspectrophotometrynitritemeat, water91–103%<3.4%[20]
HS-SDMEgriesspectrophotometryNitritewater98–137%<10.6%[23]
IL-DLLMEgriessHPLC-UVnitritewater and saliva96–107%4.1%[24]
VA-DLLMEgriessHPLC-UVnitritesaliva90–115%<4.6%[25]
EME/IC-CDnitriteamniotic fluidsn.d.<11%[29]
SPMEsodium cyclamateμPD-OESnitritesimulated gastric content, serum96–103%4.1%[27]
Note: AHNDMS: 4-amino-5-hydroxynaphthalene-2,7-disulphonic acid monosodium salt; ATPE: Aqueous two-phase extraction; CPE: cloud point extraction; DAN: 2,3-diaminonaphthalene; DLLME: dispersive liquid-liquid microextraction; EME: Electromembrane extraction; HPLC-CD: High-performance liquid chromatography–conductivity detector; HPLC-DAD: High-performance liquid chromatography–diode array detection; HS-SDME: headspace single-drop liquid phase microextraction; IC: Ion chromatography; IC-ED: Ion chromatography–electrochemical detector; IL-DLLME: Ionic liquid–dispersive liquid–liquid microextraction; OPD: o-phenylenediamine; SPME: solid phase micro extraction; μPD-OES: point discharge optical emission spectrometry; VA-DLLME: vortex-assisted dispersive liquid–liquid microextraction. n.d. means not found.
Table 2. Comparation of the advantages and disadvantages for different pretreatment technologies.
Table 2. Comparation of the advantages and disadvantages for different pretreatment technologies.
LLELPMESPESPMESimple Sample Treatment
Evolution
CPE, ATPEHS-SDME, DLLME, EMEOn-line SPEHS-SPMEProtein precipitation, dilute and shoot
Advantages
Being reliableGood purification effectLess reagent consumption than LLEHigh enrichment factorLow cost
Wide extraction rangeHigh enrichment and extraction efficiencyNo emulsification occurs during treatmentEach extraction head can be used more than 50 timesTime-saving
Simple equipment and easy to operateLess organic solvent at the level of a microliterSimplified sample handing processDifferent adsorption fibers meet a variety of application requirementsEasy accessibility
Mild extraction conditionsEasy to automate with a low costHigh selectivity and reproducibility due to the use of highly efficient and selective adsorbentsUsed with automatic sampler to ensure the accuracy of the experimentAppropriate for simple and clean samples
Disadvantages
Easily emulsifying and poor selectivityThe extraction efficiency is susceptibleHigher cost than LLECarry-over problems caused by repeated analysis with the same fiberLimited ability to handle complex samples
Large amount of organic solvent Limited potential for automation and efficiency
Table 3. The information of nitrite and nitrate detected by spectrophotometry, spectrofluorometry and colorimetry.
Table 3. The information of nitrite and nitrate detected by spectrophotometry, spectrofluorometry and colorimetry.
MethodsMatrixReagentsλmax (nm)Linearity RangeDetection Limit (ng/mL)Reaction Time (min)Ref.
spectrophotometrysaliva samplesAHNDMS5600.1 μg/mL–1.6 μg/mL7.52[12]
spectrophotometryurine, bloodgriess49010 ng/mL–400 ng/mL2.5n.d.[19]
spectrophotometryblood samplesarsenomolybdneum blue8402 μg/mL–10 μg/mL330[37]
spectrophotometryurine[Ru(npy)([9]aneS3)(CO)](ClO4)4831 µM–840 µM26.911[44]
spectrofluorometryurineBSA-Au NCs6601 μM–100 μM3.4560[46]
spectrofluorometryurineGQDs4800.025 μg/mL–0.09 μg/mL0.3735[47]
spectrofluorometryurineNIR-CDs6751 μM–50 μM3.864n.d.[48]
spectrofluorometryurinehydroxypropyl-β-cyclodextrin5685 ng/mL–1000 ng/mL1.5n.d.[28]
colorimetryartificial urinegriessn.d.0.78 μM–200 μM110.41[51]
colorimetryurineTMB4520.5 μM–30 μM6.91[55]
Note: n.d. means not found.
Table 4. HPLC coupled with different detectors for determination of nitrite and nitrate in biological samples since 2010.
Table 4. HPLC coupled with different detectors for determination of nitrite and nitrate in biological samples since 2010.
MatrixAnalytesColumnMobile PhaseDetectorPreparationLinear RangeLODLOQRef.
blood urinenitrite nitrateC18 column (150 mm × 4.6 mm, 5 mm)A: acetonitrile
B: methanol
C: 1%tetrabutylammonium hydroxide.
gradient elution
UVdecolorization and protein precipitation, CPE10–1000 ng/mL (nitrite)
0.1–10 μg/mL (nitrate)
1 ng/mL for nitrite; 0.1 μg/mL for nitraten.d.[18]
salivanitriteVP-ODS column (150 mm × 4.6 mm, 5 μm)methanol/water (90:10, v/v) isocratic elutionUVIL-DLLME0.4–500.0 μg/L0.05 μg/L0.4 μg/L[24]
urine and salivanitriteC18 column (250 mm × 4.6 mm, 5 μm)95% methanol and 5% water isocratic elutionUVvortex-assisted dispersive liquid–liquid microextraction1–300 μg/L0.2 μg/L1 μg/L[25]
rat serumnitrite nitrateXBridge C18 (2.1 mm × 50 mm, 3.5 µm)15% (v/v) acetonitrile in 20 mM sodium phosphate buffer (pH 10) isocratic elutionFDcentrifugation0.02–2.00 μM for nitrite: 0.3125–20 μM for nitrate0.003 μM for nitrite
0.083 mM for nitrate
0.009 μM for nitrite;
0.250 μM for nitrate
[38]
human plasmanitrite nitrate120 CN (25 cm × 0.46 cm, 5 μm)methanol and water (57.5:42.5, V:V)
isocratic elution
UVpre-column derivatization of nitrite anion using the Griess; nitrate with vanadium chloride (III)0.1–50 μM (nitrite)
1–500 μM (nitrate)
n.d.0.1 μM for nitrite[37]
serumnitrite nitratePOLAR-RP column (250 mm × 4.6 mm, 4 µm)A: acetonitrile
B: double distilled–deionised water consisted of 0.1% trifluoroacetic acid gradient elution
FDderivatization then LLE1–5000 ng/L (nitrite)
1–100 μg/L (nitrate)
0.13 ng/L for nitrite;
0.19 ng/L for nitrate
0.43 ng/L for nitrite;
0.58 ng/L for nitrate
[58]
human salivanitrite nitratePhosphatidylcholine Column (4.6 mm × 150 mm, 10 µm)20 mM NaCl isocratic elutionDADdilution and centrifugation8.98–18.52 µg/mL (nitrate)
3.50–5.34 µg/mL (nitrate)
4.56 ng/mL for nitrate;
4.21 ng/mL for nitrite
15.21ng/mL for nitrate;
14.03 ng/mL for nitrite
[59]
rabbit bloodnitrite nitrateX Bridge C18 (2.1 mm × 50 mm, 2.5 μm)A: tetrabutylammonium hydroxide 5 mM brought to pH 2.5 with sulfuric acid
B: acetonitrile
C: methanol
gradient elution
UVpre-column derivatization of nitrite anion using the Griess6–400 μg/L (nitrite)
0.2–200 μg/mL (nitrate)
0.06 μg/mL for nitrate2 ng/mL for nitrite and 200 ng/mL for nitrate[31]
rat plasmanitrite nitrateAn Acquity UPLC® BEH C18 column (2.1 mm × 50 mm, 1.7 μm)A: tetrabutylammonium hydroxide (12 mM), potassium dihydrogen phosphate (pH 7.0; 10 mM)
B: consisted of tetrabutylammonium hydroxide (2.8 mM), methanol (30% v/v), potassium dihydrogen phosphate (pH 5.5; 100 mM).
gradient elution
PDAusing filter plate to deprotein4–500 μM (nitrite)
6–400 μM (nitrate)
n.d.4 μM for nitrite;
6 μM for nitrate
[60]
rat plasma/urinenitrite nitrateC18 (250 mm × 4.6 mm, 5 µm)methanol–water (containing 0.60 mM of phosphate salt
and 2.5 mM TBAP) (2:98, V:V)
isocratic elution
PDAdeproteinization with acetonitrile1–800 μM for nitrate and nitrite0.075 μM for nitrate0.25 μM for nitrate and nitrite[61]
Note: n.d.: not found; LOD: limit of detection; LOQ: limit of quantification; PDA: photo-diode array; FD: fluorescence detection; DAD: diode array detector; IC: ion chromatography; TBAP: tetrabutylammonium perchlorate.
Table 5. Summary of paper-based analytical methods for determination of nitrite and nitrate in biological samples.
Table 5. Summary of paper-based analytical methods for determination of nitrite and nitrate in biological samples.
MatrixAnalytesPaper MaterialFabrication TechniqueDerivatizationAnalytical RangeLODLOQRef.
artificial salivanitriteWhatman filter papera wax printingGriess0.1–2.4 mg/dLn.d.n.d.[70]
salivanitriteglass fiberelectrokinetically stackingGriess0.075–1.0 μg/mL73 ng/mLn.d.[71]
salivanitriteWhatman filter paperthe laminating pouches were passed through the laminatorGriess5–250 μM0.05 μM0.17 μM[74]
salivanitrateWhatman filter paperthe laminating pouches were passed through the laminatorGriess0.2–1.2 mM0.08 mM0.27 mM[74]
salivanitritecellulose filter papera wax printingGriess1–100 μM10 μMn.d.[75]
urine samplenitritecellulose filter paperan inexpensive home cutter printer and plastic adhesivesGriess5–100 μM2.34 μMn.d.[76]
blood serumnitritecellulose filter paperan inexpensive home cutter printer and plastic adhesivesGriess5–600 μM4.35 μMn.d.[76]
human urine samplesnitriteWhatman filter paperthe laminating pouches were passed through the laminatorGriess0.14–1.0 mM0.04 mM0.14 mM[77]
blood plasmanitritesilicon substratean acoustics-based plasma separation deviceGriess0–20 µM60 nMn.d.[78]
Table 6. Electrochemical sensor for determination of nitrite and nitrate in biological samples since 2010.
Table 6. Electrochemical sensor for determination of nitrite and nitrate in biological samples since 2010.
ElectrodeModificationMethodAnalytesLinearity RangeLOD (nM)PrecisionRecoveryRef.
PtNaR–SOD1–CNT–PPy–PtCVnitrite100 nM–1 mM50 nM3.57%n.d.[22]
PtNaR–SOD1–CNT–PPy–PtCVnitrate500 nM–10 mM200 nM2.98%n.d.[22]
PtSOD1–CNT–PPy–PtCVnitrite0.5–2000 μM0.5 ± 0.025 μMn.d.n.d.[80]
GCECDP–GS–MWCNTsCVnitrite5 µM–6.75 mM1.65 μM<3.7%95.0% and 106.6%[81]
GCEnano-Au/p-TADPVnitrite15.9–277.0 µM0.89 μM<2.3%91.0% and 109.0%[82]
GCELa–MWCNTsCAnitrite0.40–0.71 mM103 nM<4.2%101.6% and 101.7%[83]
GCEFe(III)P/MWCNTsCVnitrite1.00 μM–1.6 mM0.50 μM<4.5%98.0% and 110.0%[84]
GCECTAB-GO/MWNTDPVnitrite5.0–800 μM1.5 µm2.50%99% and 105%[85]
ZnO-screen printed electrodesCuCPCVnitrite100 nM–1 mM100 nMn.d.n.d.[86]
GCEFe3O4@Au@Cys/rGOCVnitrite0.03–344 and 344–2215 µM8 nm<3.26%98.5–104%[87]
Ag/AgCl wireA cobalt(II) tert-butyl salophen compoundCAnitrite20–100 µM10 µm<1%n.d.[88]
SPCEMWCNTBIA-MPAnitrite1–40 µM0.3 µM<1.3%77–121%[89]
gold-gold microtrench electrodesilverCAnitrate200–1400 μM24 μM<6.9%108%[90]
3D-printed electrodegraphene/PLABIA-MPAnitrite0.5–250 µM0.03 µML1.10%70 and 110%.[91]
Note: GCE: glassy carbon electrode; SPCE: screen printed carbon electrode; nano-Au/p-TA: au-nanoclusters on poly(3-amino-5-mercapto-1,2,4-triazole); CDP–GS–MWCNTs: CD cross-linked pre-CD–graphene sheet–multiwall carbon nanotubes; Fe(III)P/MWCNTs: non-covalent iron(III)-porphyrin-MWCNTs; La–MWCNTs: lanthanum–multiwalled carbon nanotube nanocomposites; NaR–SOD1–CNT–PPy–Pt: copper, zinc superoxide dismutase (SOD1) and nitrate reductase (NaR) coimmobilized on carbon nanotubes(CNT)–polypyrrole (PPy) nanocomposite modifified platinum electrode; CTAB-GO/MWNT: hexadecyl trimethyl ammonium bromide (CTAB) functionalized graphene oxide (GO)/multiwalled carbon nanotubes; CuCP: copper(II) chlorophyllin; PLA: polylactic acid; Fe3O4@Au@Cys: Fe3O4@Au core-shell nanoparticles; rGO: reduced graphene oxide; CV: Cyclic voltammetric; CA: Chronoamperometric; DPV: Differential pulse voltammograms; BIA-MPA: Batch injection analysis with multiple-pulse amperometric. n.d. means not found.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, G.; Guo, H.; Zhao, W.; Yan, H.; Zhang, E.; Gao, L. Advancements in Preprocessing and Analysis of Nitrite and Nitrate since 2010 in Biological Samples: A Review. Molecules 2023, 28, 7122. https://doi.org/10.3390/molecules28207122

AMA Style

Liu G, Guo H, Zhao W, Yan H, Zhang E, Gao L. Advancements in Preprocessing and Analysis of Nitrite and Nitrate since 2010 in Biological Samples: A Review. Molecules. 2023; 28(20):7122. https://doi.org/10.3390/molecules28207122

Chicago/Turabian Style

Liu, Guojie, Honghui Guo, Wanlin Zhao, Hongmu Yan, Enze Zhang, and Lina Gao. 2023. "Advancements in Preprocessing and Analysis of Nitrite and Nitrate since 2010 in Biological Samples: A Review" Molecules 28, no. 20: 7122. https://doi.org/10.3390/molecules28207122

APA Style

Liu, G., Guo, H., Zhao, W., Yan, H., Zhang, E., & Gao, L. (2023). Advancements in Preprocessing and Analysis of Nitrite and Nitrate since 2010 in Biological Samples: A Review. Molecules, 28(20), 7122. https://doi.org/10.3390/molecules28207122

Article Metrics

Back to TopTop