Skip to Content
You are currently on the new version of our website. Access the old version .
  • Article
  • Open Access

11 November 2026

11 Pages

Comparative Validation of Vanadium(III) Chloride Reduction and Standard Methods for Nitrate Quantification in Organic-Rich Tropical Waters

,
,
,
and
1
Grupo de Estudio del Recurso Hídrico, Escuela de Tecnología Química-Facultad de Tecnologías, Universidad Tecnológica de Pereira, Pereira 660003, Colombia
2
Laboratorio de Análisis de Aguas y Alimentos, Escuela de Tecnología Química-Facultad de Tecnologías, Universidad Tecnológica de Pereira, Pereira 660003, Colombia
3
Grupo de Investigación Infección e Inmunidad, Programa de Medicina, Facultad Ciencias de la Salud, Universidad Tecnológica de Pereira, Pereira 660003, Colombia
4
Grupo de Investigación Salud, Cuidado y Sociedad, Facultad Ciencias de la Salud, Unidad Central del Valle del Cauca, Tuluá 763022, Colombia

Abstract

Natural organic matter (NOM) can interfere with the determination of nitrate (NO3−) in tropical waters. This study compared three standard methods (APHA 4500-NO3− B, E, and J) with an optimized vanadium(III) chloride (VCl3) reduction method coupled with the Griess reaction. The VCl3 reaction was optimized at 1.0 M HCl in the VCl3 reagent, 60 °C, and 45 min. At dissolved organic carbon (DOC) above 3.0 mg C/L, direct ultraviolet (UV) spectrophotometry (Method B) overestimated nitrate, and its 275 nm correction exceeded the 10% rejection criterion of the method. Spike recovery with enzymatic reduction (Method J) decreased to 54.1 ± 4.2% at 20.0 mg C/L DOC, whereas cadmium (Method E) and VCl3 reduction gave 98.5 ± 2.2% and 101.2 ± 1.8%, respectively. For the VCl3 method, the limit of quantification (LOQ) was 0.010 mg N-NO3−/L (relative standard deviation, RSD, 3.8%; recovery 98.2% at this level), repeatability was 1.0–2.2% RSD, and inter-analyst intermediate precision was 2.2–3.8% RSD (cadmium reduction: 4.5–6.2%). In 12 natural water samples, the VCl3 and cadmium results differed by less than 2%. The VCl3 method avoids packed columns and cadmium waste.

1. Introduction

Nitrate (NO3−) contamination of surface water and groundwater is a widespread drinking water quality problem [1,2]. Agricultural intensification, nitrogen fertilizer application, untreated domestic wastewater discharges, and inadequate sanitation increase nitrate concentrations in water resources [3,4]. Ingestion of water with elevated nitrate concentrations is associated with infantile methemoglobinemia [5,6] and, in epidemiological studies, with the endogenous formation of N-nitroso compounds (e.g., nitrosamines) and increased cancer risk [7,8]. The World Health Organization (WHO) guideline value is 50 mg NO3−/L (approximately 11 mg N-NO3−/L) [9], and the US Environmental Protection Agency (US EPA) maximum contaminant level is 10 mg N-NO3−/L [10].
Nitrate contamination of groundwater has been documented worldwide [11,12,13,14,15,16], including the tropical karst aquifer of the Yucatan Peninsula in Mexico [13,14] and public-supply wells in Brazil [16]. In Colombia, rural groundwater and surface waters from páramo ecosystems are affected by agricultural activities [17,18]. Natural waters also contain natural organic matter (NOM), composed mainly of humic and fulvic substances, whose concentration and aromaticity vary widely among sources [19,20]. NOM-rich waters complicate the analytical determination of nitrate.
Direct ultraviolet (UV) spectrophotometry at 220 nm, with a correction at 275 nm for dissolved organic matter, is rapid and requires no reagents [21]. However, NOM, surfactants, and some metal ions also absorb in this region, and the standard method should not be applied when the correction exceeds 10% of the reading at 220 nm [22]. Ion chromatography and capillary electrophoresis provide higher selectivity but require more costly equipment and consumables [23]. Ion-selective electrodes are portable but have higher limits of detection and are subject to interference from other anions [24]. Reduction of nitrate to nitrite followed by the Griess reaction moves the measurement to the visible region (λ = 540 nm), where NOM absorbs much less [25,26,27].
Three reduction systems are commonly coupled with the Griess reaction: cadmium (Cd) reduction, vanadium(III) chloride (VCl3) reduction, and enzymatic reduction with nitrate reductase (NaR) [28,29,30,31,32,33,34,35,36,37]. Cadmium reduction is the basis of standard methods such as those of the American Public Health Association (APHA 4500-NO3− E) and US EPA Method 353.2 [28,29], but cadmium is toxic and carcinogenic [30], and packed columns require regular activation and maintenance. Homogeneous reduction with acidic VCl3 avoids columns and has been adapted to small volumes, microplates, and automated systems [31,32,33,34]. Enzymatic reduction with NaR and β-NADH avoids toxic metals [35,36,37], but the enzyme is costly and sensitive to storage conditions [38].
Side-by-side comparisons of these reduction methods and direct UV spectrophotometry in NOM-rich drinking water sources are scarce. The objectives of this study were to (i) optimize the HCl concentration (0.1–3.0 M), reaction temperature (20–80 °C), and incubation time (15–90 min) of the VCl3 method; (ii) compare the working range, limit of quantification (LOQ), repeatability, intermediate precision (between-day and inter-analyst), and trueness of the VCl3 method with those of APHA 4500-NO3− B, E, and J; (iii) evaluate the effect of NOM on each method by spike recovery over a dissolved organic carbon (DOC) gradient of 0–20 mg C/L; and (iv) apply the four methods to 12 natural water samples from Colombian catchments.

2. Materials and Methods

The study comprised four parts: (i) single-factor optimization of the VCl3 method (HCl concentration in the VCl3 reagent, incubation temperature, and incubation time); (ii) validation of the VCl3 method and of three standard methods (APHA 4500-NO3− B, E, and J) by working range, LOQ, repeatability, intermediate precision, and trueness; (iii) evaluation of the NOM effect on each method by spike recovery at added DOC levels of 0–20 mg C/L; and (iv) determination of nitrate in 12 natural water samples by the four methods.

2.1. Reagents and Analytical Standards

All reagents were of analytical grade and were used without further purification. Ultrapure water (Millipore, Bedford, MA, USA) was used to prepare reagents, dilutions, and blanks. A certified nitrate standard solution (1000 mg N-NO3−/L, Certipur®, Merck, Darmstadt, Germany) was used to prepare calibration standards (0.005–10.0 mg N-NO3−/L). The Griess reagents were a sulfanilamide reagent (1.0% w/v sulfanilamide in 1.2 M HCl, prepared by diluting concentrated HCl, 37% w/w, approximately 12 M) and an N-(1-naphthyl)ethylenediamine dihydrochloride (NEDD) reagent (0.1% w/v in ultrapure water, stored in amber glass bottles at 4 °C).
For the NOM interference tests, Suwannee River NOM (SRNOM 2R101N, International Humic Substances Society, Denver, CO, United States) and humic acid sodium salt (Sigma-Aldrich, Taufkirchen, Germany) were used to fortify samples with up to 20.0 mg C/L of added DOC.

2.2. Sampling, Preservation, and Characterization of Natural Water Samples

Twelve surface water and groundwater samples ere collected in agricultural catchments of Colombia (Risaralda, Cauca Valley, and Andean plateau regions) following ISO 5667-3. Samples were collected in high-density polyethylene containers, kept at 4 °C, and filtered through 0.45 μm polyethersulfone membranes within 6 h of collection. Because unacidified samples can be stored for up to 48 h below 6 °C before nitrate determination [22], all natural samples were stored at 4 °C and analyzed within 48 h of collection. pH and electrical conductivity (HQ40d, Hach, Loveland, CO, USA), DOC by catalytic combustion oxidation (TOC-L, Shimadzu, Kyoto, Japan), and specific UV absorbance at 254 nm (SUVA254; Genesys 50, Thermo Fisher Scientific, Waltham, MA, USA) were determined.

2.3. Analytical Methodologies and Optimization Protocols

Absorbance was measured with a double-beam UV-Vis spectrophotometer (Genesys 50, Thermo Fisher Scientific, Waltham, MA, USA) and 1 cm quartz cells; a second UV-Vis spectrophotometer (Evolution 201, Thermo Fisher Scientific, Waltham, MA, USA) was used for intermediate inter-instrument precision. Measurements were made at λ = 540 nm for the Griess-based methods and at 220 and 275 nm for direct UV spectrophotometry. Before reduction, all natural samples were analyzed for nitrite with the Griess reaction without reductant; nitrite was below the LOQ (<0.010 mg N-NO2−/L) in all samples, so the absorbance measured after reduction was attributed to nitrate. Standards and samples with an absorbance of 2.0 or higher were diluted with ultrapure water before measurement, and the dilution factor was applied in the calculations.

2.3.1. Standard Methods

The three reference methods were applied as described in Standard Methods for the Examination of Water and Wastewater [22,28,37]:
-
Direct UV spectrophotometry (APHA 4500-NO3− B): Absorbance was measured at 220 nm and corrected for dissolved organic matter using the reading at 275 nm.
-
Cadmium reduction (APHA 4500-NO3− E): Samples (25 mL) buffered with NH4Cl–EDTA (pH 8.5) were passed through a glass column packed with copperized cadmium granules at 7.0–10.0 mL/min, and the eluate was reacted with sulfanilamide and NEDD before measurement at 540 nm.
-
Enzymatic reduction (APHA 4500-NO3− J): Nitrate was reduced with eukaryotic nitrate reductase (AtNaR2) in 50 mM potassium phosphate buffer (pH 7.2) containing 100 μM β-NADH at 25 °C for 30 min, followed by color development with sulfanilamide and NEDD and measurement at 540 nm.

2.3.2. Vanadium(III) Chloride (VCl3) Method and Optimization

The VCl3 method was optimized by single-factor experiments with a 1.0 mg N-NO3−/L standard (n = 3), varying one parameter at a time while the other two were kept at their optimized values:
HCl concentration in the VCl3 reagent: 0.1, 0.5, 0.8, 1.0, 1.2, 2.0, and 3.0 M;
Incubation temperature: 20, 37, 50, 60, and 80 °C (thermostated water bath);
Incubation time: 15, 30, 45, 60, and 90 min.
Under the optimized conditions, a combined reagent was prepared by mixing the acidic VCl3 solution (0.8% w/v VCl3; 400 mg in 50 mL of 1.0 M HCl), the sulfanilamide reagent, and the NEDD reagent (2:1:1, v/v/v). Then, 1.00 mL of combined reagent was added to 1.00 mL of sample in a capped vial (final volume 2.00 mL). The final concentrations in the reaction mixture were 0.20% w/v VCl3 (12.7 mM), 0.40 M HCl, 0.125% w/v sulfanilamide (7.26 mM), and 0.0125% w/v NEDD (0.48 mM). The vials were vortexed, incubated at 60 °C for 45 min, cooled to 20 °C for 5 min, and measured at 540 nm.

2.4. Method Validation

Validation followed the Eurachem guide [39], and terminology followed the International Vocabulary of Metrology (VIM) [40]. The LOQ of each method was first estimated as L O Q = 10 ∗ σ b S , where σ b is the standard deviation of 10 independent blank measurements, and S is the slope of the calibration function. The estimated LOQ was then verified experimentally for each method by analysing blank samples spiked at that concentration (n = 10); the LOQ was accepted when the RSD was ≤20% and the recovery was 80–120%. Precision was evaluated at three levels, 0.1 (low), 1.0 (medium), and 5.0 (high) mg N-NO3−/L, in synthetic and natural water matrices and expressed as relative standard deviation (RSD):
Repeatability: six consecutive replicates (n = 6) analysed by the same analyst with the same instrument on the same day.
Intermediate precision (between-day): five determinations (n = 5) at each level (low, medium, and high) over two consecutive days, with freshly prepared reagents and an independent calibration on each day. This two-day design matches the 48 h holding time of unacidified natural samples [22]; it does not represent long-term precision.
Intermediate precision (inter-analyst and inter-instrument): independent runs by three analysts using two spectrophotometers (Genesys 50 and Evolution 201) in the same laboratory. For inter-analyst/equipment intermediate precision, Analysts 1 and 2 operated the Genesys 50 UV-Vis spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA), while Analyst 3 operated the Evolution 201 UV-Vis spectrophotometer(Thermo Fisher Scientific, Waltham, MA, USA), with each analyst analysing independent replicate sets. Reported intermediate precision RSD values thus reflect combined variance across both different operators and spectrophotometers.
NOM effect: natural water samples were spiked with nitrate and fortified with the NOM materials described in Section 2.1 to obtain added DOC levels from 0 (unfortified) to 20 mg C/L. Trueness was estimated from spike recovery (%R), which reflects the bias for the added analyte only.

2.5. Statistical Analysis

Results are reported as mean ± standard deviation. Optimization experiments and natural samples were analyzed in triplicate (n = 3); the number of replicates for each validation parameter is given in Section 2.4. Differences among the four methods were evaluated by one-way analysis of variance (ANOVA) (α = 0.05); for the natural samples, ANOVA was followed by Tukey’s honestly significant difference (HSD) test. Data were processed with Excel and SPSS v24.

3. Results

3.1. Characterization of Natural Water Samples

The DOC of the natural samples ranged from 1.8 to 18.2 mg C/L, and SUVA254 ranged from 1.8 to 4.6 L/(mg·m) (Table 3). The pH was 6.4–7.2, and the electrical conductivity was 115–480 μS/cm.

3.2. Optimization of the Vanadium(III) Chloride Method

The effects of the HCl concentration in the VCl3 reagent, incubation temperature, and incubation time on the absorbance at λ = 540 nm are summarized in Table 1. Because the conversion of nitrate to nitrite was not measured independently, the response is expressed relative to the maximum mean absorbance (relative color response).
Table 1. Single-factor optimization of the vanadium(III) chloride (VCl3) method (1.0 mg N-NO3−/L).

3.2.1. Effect of Acidity

The absorbance increased from 0.112 ± 0.008 at 0.1 M HCl to a maximum of 0.350 ± 0.005 at 1.0 M HCl (Table 1), and a similar maximum response was obtained between 0.8 and 1.2 M HCl At 0.1 M HCl, VCl3 did not dissolve completely. At 2.0 and 3.0 M HCl, the relative color response decreased to 85.1% and 75.1%, respectively, and color fading was observed. A possible explanation, not tested in this study, is that excess acidity slows the coupling of the diazonium ion with NEDD. Therefore, 1.0 M HCl in the VCl3 reagent was selected.

3.2.2. Effect of Temperature and Incubation Time

At 45 min, the relative color response was 30.0% at 20 °C, 58.0% at 37 °C, 90.0% at 50 °C, and 100.0% at 60 °C. At 80 °C, the absorbance decreased by 15.1% (0.297 ± 0.014), possibly because of thermal degradation of the azo dye. At 60 °C, the response reached 89.1% at 30 min and plateaued at 45 min (100.0%); no significant change was observed between 45 and 90 min (one-way ANOVA, p > 0.05). Therefore, 60 °C and 45 min were selected.

3.3. Validation Parameters

Calibration curves were constructed with six standards distributed over the working range of each method (Table 2), and the coefficients of determination (R2) ranged from 0.9981 to 0.9996 (Table 2). The calibration slopes of the Griess-based methods (0.3245–0.3512 AU·L/mg N) were about four times that of direct UV spectrophotometry (0.0842 AU·L/mg N); the calibration functions are shown in Figure S1. The LOQ was 0.010 mg N-NO3−/L for the cadmium and VCl3 methods, 0.050 mg N-NO3−/L for the enzymatic method, and 0.100 mg N-NO3−/L for direct UV spectrophotometry in low-NOM matrices; for direct UV spectrophotometry, no reliable LOQ could be established in high-NOM samples. For the VCl3 method, the analysis of 10 blank samples spiked at 0.010 mg N-NO3−/L gave an RSD of 3.8% and a recovery of 98.2 ± 3.7%, which met the acceptance criteria.
Table 2. Validation parameters of the four methods for nitrate determination.
RSD ranges cover the three concentration levels (0.1, 1.0, and 5.0 mg N-NO3−/L). Slope and intercept: value ± standard error (six calibration standards). ANOVA: one-way ANOVA among the four methods (α = 0.05), with degrees of freedom in parentheses. a Estimated as 10σb/S and verified experimentally at this concentration. b 10 blank samples spiked at 0.010 mg N-NO3−/L: RSD 3.8%; recovery 98.2 ± 3.7%.
Repeatability was 1.0–2.2% RSD for the VCl3 method, 2.0–3.1% for cadmium reduction, 2.1–4.2% for the enzymatic method, and 3.5–6.8% for direct UV spectrophotometry (F(3,20) = 14.32, p < 0.001; Table 2).
Between-day intermediate precision, evaluated over two consecutive days, was 1.5–4.5% RSD for the VCl3 method, 2.5–5.5% for cadmium reduction, 3.2–5.0% for the enzymatic method, and 4.2–7.5% for direct UV spectrophotometry (F(3,16) = 8.64, p = 0.001). Inter-analyst intermediate precision was 2.2–3.8% RSD for the VCl3 method, 4.0–5.8% for the enzymatic method, 4.5–6.2% for cadmium reduction, and 5.8–8.9% for direct UV spectrophotometry (F(3,8) = 18.91, p < 0.001).
Spike recoveries in the presence of NOM are summarized in Table 2. For direct UV spectrophotometry, the 275 nm correction exceeded 10% of the 220 nm reading when the DOC was above 3.0 mg C/L, which is the rejection criterion of the standard method [22]; recoveries in this range were 135–185%, or negative values were obtained after correction.
For the enzymatic method, no NOM effect was observed at DOC < 2.0 mg C/L, but recovery decreased at higher DOC (one-way ANOVA, p < 0.01), to 72.4 ± 3.1% at 10.0 mg C/L and 54.1 ± 4.2% at 20.0 mg C/L.
The recoveries of the cadmium and VCl3 methods at a DOC of 20.0 mg C/L were 98.5 ± 2.2% and 101.2 ± 1.8%, respectively; for both chemical reduction methods, recoveries remained close to 100% over the DOC range tested.

3.4. Analysis of Natural Water Samples

The nitrate concentrations determined in the 12 natural samples are shown in Table 3. The cadmium and VCl3 results ranged from 0.65 to 9.12 and from 0.64 to 9.20 mg N-NO3−/L, respectively, differed by −1.5% to +1.6%, and belonged to the same Tukey group in all samples. For S01 and S02, no significant differences were found among the four methods (p > 0.05). For S03–S12, direct UV spectrophotometry gave significantly higher results than the other three methods (116–305% of the cadmium result). The enzymatic results were significantly lower than the cadmium and VCl3 results in S05–S07 and S09–S12 (53–85% of the cadmium result); in S04 and S08 (91% and 65%), the difference was not significant.
Table 3. Nitrate concentrations (mg N-NO3−/L) in 12 natural water samples from Colombian catchments determined by the four methods.

4. Discussion

The main differences among the four methods were related to their susceptibility to NOM and their precision. These differences are discussed below in relation to the reaction chemistry and the operational characteristics of each method.
In acidic solution, each V3+ ion is oxidized to VO2+ (V(IV)) and releases one electron; therefore, two V3+ ions are required for the two-electron reduction of nitrate to nitrite:
2V3+ + NO3− + H2O → 2VO2+ + NO2− + 2H+
Reduction of nitrate by VCl3 is slow at room temperature, and published VCl3 methods use heating or long incubation times [31,33,34]; the temperature dependence in Table 1 is consistent with these reports. The decrease in absorbance at 80 °C may result from thermal degradation of the diazonium intermediate or the azo dye; this was not investigated further.
The HCl concentration in the VCl3 reagent affected both the dissolution of VCl3 and color development. Under the optimized conditions, the final HCl concentration in the reaction mixture was 0.40 M, which provides the acidic medium required for the diazotization of sulfanilamide [26,27]. The mechanism of the lower response at higher acidity was not studied.
The difference in inter-analyst RSD between the VCl3 method (2.2–3.8%) and cadmium reduction (4.5–6.2%) may be related to operational differences between the two procedures. Cadmium reduction depends on column packing, flow rate (7.0–10.0 mL/min), and periodic reactivation of the copperized cadmium, and incomplete control of these factors can change the reduction efficiency [28]. The VCl3 method is performed in a single liquid phase with fixed volumes, temperature, and time, which reduces the number of operator-dependent steps. This explanation was not tested experimentally. The homogeneous format can also be adapted to small volumes and microplates [34].
Direct UV measurement at 220 nm is based on the absorption of nitrate in the far UV, where aromatic and conjugated structures of NOM also absorb [21]. The 275 nm correction assumes a constant relationship between NOM absorbance at 220 and 275 nm, which may not hold for samples with different NOM composition [22]. In this study, the correction exceeded the 10% criterion above 3.0 mg C/L DOC, and the method gave higher results than cadmium reduction in natural samples S03–S12 (116–305%; Table 3), including S03, with a DOC of 2.8 mg C/L. Direct UV spectrophotometry is therefore not suitable for the NOM-rich waters studied here.
The decrease in recovery observed with the enzymatic method at higher DOC suggests interference with the enzymatic assay. Possible explanations include adsorption of humic substances onto the enzyme, conformational changes in the protein, and consumption of β-NADH by NOM. This study did not test these mechanisms, which require further investigation. In the natural samples, the enzymatic results were significantly lower than the cadmium results in seven of the 12 samples (53–85% of the cadmium result; Table 3).
For the cadmium and VCl3 methods, recoveries remained close to 100% up to a DOC of 20 mg C/L. In both methods, nitrate is converted to nitrite and measured as an azo dye at 540 nm, where NOM absorbance is low [26]. In addition, the VCl3 reaction does not depend on a protein catalyst. The agreement between the two methods in the natural samples (−1.5% to +1.6%; Table 3) supports this result.
The International Agency for Research on Cancer classifies cadmium as carcinogenic to humans (Group 1) [41], and it is toxic at low exposure levels [30]; cadmium columns therefore generate waste containing Cd2+ and Cu2+ that requires special disposal. The enzymatic method avoids toxic metals [35], but the enzyme and β-NADH require cold storage. Based on 2026 reagent prices, the direct cost per determination (including waste disposal) was approximately estimated at USD 0.12 for the VCl3 method, USD 0.45 for cadmium reduction (including column consumables), and USD 2.80 for the enzymatic method. Vanadium compounds are also toxic and require appropriate handling and waste management, and this study did not perform a formal environmental impact assessment; therefore, the environmental advantage of the VCl3 method is limited to avoiding cadmium waste.
This study has several limitations. First, the natural samples were collected in a limited number of Colombian catchments (DOC 1.8–18.2 mg C/L; SUVA254 1.8–4.6 L/(mg·m)), and NOM of different composition may behave differently. Second, between-day intermediate precision was evaluated over only two consecutive days, matching the 48 h holding time of unacidified natural samples [22]; long-term precision should be estimated from quality control data over an extended period, as recommended by Eurachem [39]. Third, interference from high concentrations of metals (e.g., Fe3+ or Mn2+) and from salinity was not evaluated. Fourth, only one nitrate reductase (AtNaR2) was tested. Finally, the VCl3 method requires incubation at 60 °C for 45 min, and the cost estimates are approximate (2026 prices) and depend on local conditions.

5. Conclusions

In NOM-rich waters from Colombian catchments, direct UV spectrophotometry (APHA 4500-NO3− B) was not applicable above a DOC of 3.0 mg C/L, and the recovery of the enzymatic method (APHA 4500-NO3− J) decreased with increasing DOC (54.1 ± 4.2% at 20.0 mg C/L). The cadmium (APHA 4500-NO3− E) and optimized VCl3 methods gave recoveries close to 100% and agreed within 2% in 12 natural samples. The VCl3 method (1.0 M HCl in the reagent, 60 °C, 45 min) had an LOQ of 0.010 mg N-NO3−/L and an inter-analyst RSD of 2.2–3.8% (cadmium reduction: 4.5–6.2%), and it does not require cadmium columns. The VCl3 method is therefore a suitable alternative to cadmium reduction for routine nitrate determination in NOM-rich waters; long-term precision and other matrix interferences should be evaluated before routine implementation.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/mps9060166/s1. Figure S1: Calibration functions of the four methods for nitrate determination plotted over their working ranges; Table S1: Calibration parameters.

Author Contributions

Conceptualization, O.-I.V.-V., E.A.-R. and L.B.-A.; methodology, O.-I.V.-V., M.E. and N.L.; software, O.-I.V.-V. and L.B.-A.; formal analysis, O.-I.V.-V. and L.B.-A.; investigation, O.-I.V.-V. and L.B.-A.; resources, O.-I.V.-V. and L.B.-A.; data curation, O.-I.V.-V., E.A.-R., M.E. and N.L.; writing—original draft preparation, O.-I.V.-V. and L.B.-A.; writing—review and editing, O.-I.V.-V. and L.B.-A.; project administration, O.-I.V.-V. and L.B.-A.; funding acquisition, O.-I.V.-V. and L.B.-A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Universidad Tecnológica de Pereira, grant number “9-23-5”, and Unidad Central del Valle del Cauca. The APC was paid by Universidad Tecnológica de Pereira and Unidad Central del Valle del Cauca.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

The authors thank the Laboratorio de Análisis de Aguas y Alimentos at the Universidad Tecnológica de Pereira for technical support during the experimental work. The artificial intelligence tools DeepL and Gemini were used to assist with English language editing and with the revision of the text in response to the reviewers. The cloud-based artificial intelligence tools DeepL and Gemini were used to assist with the English language editing between May and October 2026, reflecting the software versions available during this period. All AI-assisted text was reviewed and validated by the authors, who take full responsibility for the content of the manuscript.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analysis, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Rogers, K.M.; Bradshaw, D.; Scadden, P.; Tschritter, C.; Sanderson, S.; Cooper, J.; Phillips, A.; Pannell, J.; Thern, J.; Abel, S.; et al. Nitrate Contamination in New Zealand’s Domestic Drinking Water with a Focus on Rural Groundwater-Sourced Self-Supplies. Sci. Total Environ. 2025, 1002, 180549. [Google Scholar] [CrossRef] [Scilit]
  2. World Health Organization. Guidelines for Drinking-Water Quality: Fourth Edition Incorporating the First and Second Addenda; World Health Organization: Geneva, Switzerland, 2022; Available online: https://www.who.int/publications/i/item/9789240045064 (accessed on 29 October 2026).
  3. Galloway, J.N.; Townsend, A.R.; Erisman, J.W.; Bekunda, M.; Cai, Z.; Freney, J.R.; Martinelli, L.A.; Seitzinger, S.P.; Sutton, M.A. Transformation of the Nitrogen Cycle: Recent Trends, Questions, and Potential Solutions. Science 2008, 320, 889–892. [Google Scholar] [CrossRef] [Scilit]
  4. UN-Water. The United Nations World Water Development Report 2023: Partnerships and Cooperation for Water; UNESCO: Paris, France, 2023. [Google Scholar] [CrossRef] [Scilit]
  5. Chen, J.; Wu, H.; Qian, H. Groundwater Nitrate Contamination and Associated Health Risk for the Rural Communities in an Agricultural Area of Ningxia, Northwest China. Expo. Health 2016, 8, 349–359. [Google Scholar] [CrossRef] [Scilit]
  6. Christensen, K.Y.; Bommarito, P.A.; Shaffer, R.M.; Davis, B.; Lee, A.L. Systematic Review of Adverse Human Health Effects Following Oral Exposure to Inorganic Nitrate and Nitrite. J. Toxicol. Environ. Health B Crit. Rev. 2026, 29, 169–235. [Google Scholar] [CrossRef] [Scilit]
  7. Temkin, A.; Evans, S.; Manidis, T.; Campbell, C.; Naidenko, O.V. Exposure-Based Assessment and Economic Valuation of Adverse Birth Outcomes and Cancer Risk Due to Nitrate in United States Drinking Water. Environ. Res. 2019, 176, 108442. [Google Scholar] [CrossRef] [Scilit]
  8. Essien, E.E.; Said Abasse, K.; Côté, A.; Mohamed, K.S.; Baig, M.M.F.A.; Habib, M.; Naveed, M.; Yu, X.; Xie, W.; Jinfang, S.; et al. Drinking-Water Nitrate and Cancer Risk: A Systematic Review and Meta-Analysis. Arch. Environ. Occup. Health 2022, 77, 51–67. [Google Scholar] [CrossRef] [Scilit]
  9. World Health Organization. Nitrate and Nitrite in Drinking-Water: Background Document for Development of WHO Guidelines for Drinking-Water Quality; World Health Organization: Geneva, Switzerland, 2011; Available online: https://iris.who.int/handle/10665/75380 (accessed on 29 October 2026).
  10. US EPA. National Primary Drinking Water Regulations; United States Environmental Protection Agency: Washington, DC, USA, 2020. Available online: https://www.epa.gov/ground-water-and-drinking-water/national-primary-drinking-water-regulations (accessed on 29 October 2026).
  11. Wei, X.; Zhou, Y.; Ran, L.; Chen, M.; Zou, J.; Fan, Z.; Fu, Y. Sources and Transformation of Nitrate in Shallow Groundwater in the Three Gorges Reservoir Area: Hydrogeochemistry and Isotopes. Water 2024, 16, 3299. [Google Scholar] [CrossRef] [Scilit]
  12. Laoufi, A.; Boudjema, A.; Guettaia, S.; Derdour, A.; Almaliki, A.H. Integrated Simulation of Groundwater Flow and Nitrate Transport in an Alluvial Aquifer Using MODFLOW and MT3D: Insights into Pollution Dynamics and Management Strategies. Sustainability 2024, 16, 10777. [Google Scholar] [CrossRef] [Scilit]
  13. Narvaez-Montoya, C.; Mondragón Bonilla, R.; Goldscheider, N.; Mahlknecht, J. Groundwater Salinization Patterns in the Yucatan Peninsula Reveal Contamination and Vulnerability of the Karst Aquifer. Commun. Earth Environ. 2025, 6, 468. [Google Scholar] [CrossRef] [Scilit]
  14. Pacheco, J.; Marín, L.; Cabrera, A.; Steinich, B.; Escolero, O. Nitrate temporal and spatial patterns in 12 water-supply wells, Yucatan, Mexico. Environ. Geol. 2001, 40, 708–715. [Google Scholar] [CrossRef] [Scilit]
  15. Abascal, E.; Gómez-Coma, L.; Ortiz, I.; Ortiz, A. Global Diagnosis of Nitrate Pollution in Groundwater and Review of Removal Technologies. Sci. Total Environ. 2022, 810, 152233. [Google Scholar] [CrossRef] [Scilit]
  16. Costa Santos, R.; Aguilar da Silva, R.; Moreira dos Santos, M.; Botelho Bovo, A.; Furtado da Silva, A. Assessing Nitrate Contamination in Groundwater for Public Supply: A Study in a Small Brazilian Town. Groundw. Sustain. Dev. 2024, 25, 101084. [Google Scholar] [CrossRef] [Scilit]
  17. Huerfano-Moreno, G.J.; Rojas-Peña, J.I.; Zapata-Muñoz, Y.L.; Trujillo-González, J.M.; Torres-Mora, M.A.; García-Navarro, F.J.; Jiménez-Ballesta, R. Comparative assessment of the quality and potential uses of groundwater in a typical rural settlement in Colombia. Water 2023, 15, 667. [Google Scholar] [CrossRef] [Scilit]
  18. Rey-Romero, D.C.; Domínguez, I.; Oviedo-Ocaña, E.R. Effect of agricultural activities on surface water quality from páramo ecosystems. Environ. Sci. Pollut. Res. 2022, 29, 83169–83190. [Google Scholar] [CrossRef] [Scilit]
  19. Vogt, R.D.; Garmo, Ø.A.; Austnes, K.; Kaste, Ø.; Haaland, S.; Sample, J.E.; Thrane, J.-E.; Skancke, L.B.; Gundersen, C.B.; de Wit, H.A. Factors Governing Site and Charge Density of Dissolved Natural Organic Matter. Water 2024, 16, 1716. [Google Scholar] [CrossRef] [Scilit]
  20. Matilainen, A.; Sillanpää, M. Removal of Natural Organic Matter from Water by Advanced Oxidation Processes. Chemosphere 2010, 80, 351–365. [Google Scholar] [CrossRef] [Scilit]
  21. Ferree, M.A.; Shannon, R.D. Evaluation of a Second Derivative UV/Visible Spectroscopy Technique for Nitrate and Total Nitrogen Analysis of Wastewater Samples. Water Res. 2001, 35, 327–332. [Google Scholar] [CrossRef] [Scilit]
  22. Standard Methods Committee of the American Public Health Association; American Water Works Association; Water Environment Federation. 4500-NO3− Nitrogen (Nitrate), Part B: Ultraviolet Spectrophotometric Screening Method. In Standard Methods for the Examination of Water and Wastewater, 24th ed.; Lipps, W.C., Baxter, T.E., Braun-Howland, E., Eds.; APHA Press: Washington, DC, USA, 2023; Available online: https://www.standardmethods.org/doi/10.2105/SMWW.2882.089 (accessed on 29 October 2026).
  23. Michalski, R.; Pecyna-Utylska, P. Green Aspects of Ion Chromatography versus Other Methods in the Analysis of Common Inorganic Ions. Separations 2021, 8, 235. [Google Scholar] [CrossRef] [Scilit]
  24. Lal, K.; Jaywant, S.A.; Arif, K.M. Electrochemical and Optical Sensors for Real-Time Detection of Nitrate in Water. Sensors 2023, 23, 7099. [Google Scholar] [CrossRef] [Scilit]
  25. Rajab, N.; Ibrahim, H.; Zhang, D.; Youssef, A.F.A.; Hassan, R.Y.A. Advances in the Chemical Analysis of Nitrite in Environmental and Biological Samples. Nanoscale Adv. 2025, 7, 6321–6372. [Google Scholar] [CrossRef] [Scilit]
  26. Mishra, P.; Jain, B.; Dutt Shukla, R.; Dagdag, O.; Ebenso, E.E.; Kumar Tyagi, M.; Berdimurodov, E.; Verma, D.K.; Patel, R.; Berdimuradov, K.; et al. A Review on the Determination Methods of Nitrate and the Routes for Its Removal from Environmental Samples. Int. J. Environ. Anal. Chem. 2025, 105, 33–79. [Google Scholar] [CrossRef] [Scilit]
  27. 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 2007, 851, 51–70. [Google Scholar] [CrossRef] [Scilit]
  28. Standard Methods Committee of the American Public Health Association; American Water Works Association; Water Environment Federation. 4500-NO3− Nitrogen (Nitrate), Part E: Cadmium Reduction Method. In Standard Methods for the Examination of Water and Wastewater, 24th ed.; Lipps, W.C., Baxter, T.E., Braun-Howland, E., Eds.; APHA Press: Washington, DC, USA, 2023; Available online: https://www.standardmethods.org/doi/10.2105/SMWW.2882.089 (accessed on 29 October 2026).
  29. US EPA. Method 353.2: Determination of Nitrate-Nitrite Nitrogen by Automated Colorimetry; Revision 2.0; United States Environmental Protection Agency: Cincinnati, OH, USA, 1993. Available online: https://www.epa.gov/sites/default/files/2015-08/documents/method_353-2_1993.pdf (accessed on 29 October 2026).
  30. Yang, Y.; Hassan, M.F.; Ali, W.; Zou, H.; Liu, Z.; Ma, Y. Effects of Cadmium Pollution on Human Health: A Narrative Review. Atmosphere 2025, 16, 225. [Google Scholar] [CrossRef] [Scilit]
  31. Miranda, K.M.; Espey, M.G.; Wink, D.A. A Rapid, Simple Spectrophotometric Method for Simultaneous Detection of Nitrate and Nitrite. Nitric Oxide 2001, 5, 62–71. [Google Scholar] [CrossRef] [Scilit]
  32. García-Robledo, E.; Corzo, A.; Papaspyrou, S. A Fast and Direct Spectrophotometric Method for the Sequential Determination of Nitrate and Nitrite at Low Concentrations in Small Volumes. Mar. Chem. 2014, 162, 30–36. [Google Scholar] [CrossRef] [Scilit]
  33. Pai, S.-C.; Chang, S.-K.; Chien, C.-T.; Ho, T.-Y. A Rapid and Precise Method for Nitrate Determination Using a Step-Flow Autoanalyzer with Online Stopover Vanadium Reduction. ACS Omega 2025, 10, 60353–60361. [Google Scholar] [CrossRef] [Scilit]
  34. Schnetger, B.; Lehners, C. Determination of nitrate plus nitrite in small volume marine water samples using vanadium(III)chloride as a reduction agent. Mar. Chem. 2014, 160, 91–98. [Google Scholar] [CrossRef] [Scilit]
  35. Campbell, W.H.; Song, P.; Barbier, G.G. Nitrate Reductase for Nitrate Analysis in Water. Environ. Chem. Lett. 2006, 4, 69–73. [Google Scholar] [CrossRef] [Scilit]
  36. Patton, C.J.; Fischer, A.E.; Campbell, W.H.; Campbell, E.R. Corn Leaf Nitrate Reductase—A Nontoxic Alternative to Cadmium for Photometric Nitrate Determinations in Water Samples by Air-Segmented Continuous-Flow Analysis. Environ. Sci. Technol. 2002, 36, 729–735. [Google Scholar] [CrossRef] [Scilit]
  37. Standard Methods Committee of the American Public Health Association; American Water Works Association; Water Environment Federation. 4500-NO3− Nitrogen (Nitrate), Part J: Enzymatic Reduction Method. In Standard Methods for the Examination of Water and Wastewater, 24th ed.; Lipps, W.C., Baxter, T.E., Braun-Howland, E., Eds.; APHA Press: Washington, DC, USA, 2023; Available online: https://www.standardmethods.org/doi/10.2105/SMWW.2882.089 (accessed on 29 October 2026).
  38. Farhan, M.; Hasani, I.W.; Khafaga, D.S.R.; Ragab, W.M.; Ahmed Kazi, R.N.; Aatif, M.; Muteeb, G.; Fahim, Y.A. Enzymes as Catalysts in Industrial Biocatalysis: Advances in Engineering, Applications, and Sustainable Integration. Catalysts 2025, 15, 891. [Google Scholar] [CrossRef] [Scilit]
  39. Cantwell, H. (Ed.) Eurachem Guide: The Fitness for Purpose of Analytical Methods—A Laboratory Guide to Method Validation and Related Topics, 3rd ed.; Eurachem: Bucharest, Romania, 2025; Available online: https://www.eurachem.org (accessed on 29 October 2026).
  40. Joint Committee for Guides in Metrology. International Vocabulary of Metrology—Basic and General Concepts and Associated Terms (VIM), 3rd ed.; JCGM 200:2012; JCGM: Sèvres, France, 2012; Available online: https://jcgm.bipm.org/vim/en/ (accessed on 29 October 2026).
  41. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Arsenic, Metals, Fibres, and Dusts; IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Volume 100C; International Agency for Research on Cancer: Lyon, France, 2012; Available online: https://publications.iarc.who.int/120 (accessed on 29 October 2026).
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.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.