Proposed Smartphone-Based Colorimetric Determination of Nitrite in Drinking Water

Article Sidebar

PDF
Published: 26.09.2026

Main Article Content

Mehraliyeva Esmira Nizami
Baku State University
Mammadli Ayla Seymur
Baku State University
Piriyeva Sevinc Zaur
Baku State University

Abstract

Nitrite is an important indicator in drinking-water surveillance because it is reactive, may change during storage, and can be associated with treatment or distribution-system failures. This methodological study proposes a student - accessible procedure that combines the Griess reaction with smartphone digital image colorimetry. Sulfanilamide and N-(1-naphthyl)ethylenediamine form a magenta azo dye; a controlled light box, fixed region of interest and green-channel image absorbance provide the analytical response. Calibration, blank correction, duplicate preparation, spike recovery and comparison with UV –visible spectrophotometry are proposed as validation steps. Twelve peer-reviewed studies from 2023 –2026 were evaluated to define controls for illumination, device variation and reagent handling. Because no field measurements are reported, stated performance limits are validatio n targets to be tested experimentally. The proposed method is intended for education and preliminary screening, whereas regulatory decisions require confirmatory analysis.

Downloads

Download data is not yet available.

Article Details

Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 311 (2026): 17th ISPC «International Forum: Problems and Scientific Solutions» (September 26-28, 2026; Melbourne, Australia).

Section

Chemistry and Materials science
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Biographies

Mehraliyeva Esmira Nizami, Baku State University

Student, Faculty of Chemistry

Mammadli Ayla Seymur, Baku State University

Student, Faculty of Chemistry

Piriyeva Sevinc Zaur, Baku State University

Student, Faculty of Chemistry

How to Cite

Mehraliyeva, E., Mammadli, A., & Piriyeva, S. (2026). Proposed Smartphone-Based Colorimetric Determination of Nitrite in Drinking Water. Scientific Collection «InterConf», 311, 163–169. https://interconf.openpubarchive.com/index.php/proceeding/article/view/122

References

Yardımcı, B. (2023). Spectrophotometric and smartphone -based facile green chemistry approach to determine nitrite ions using green tea extract as a naturalsource. Sustainable Chemistry and Pharmacy, 34, 101175. https://doi.org/10.1016/j.scp.2023.101175

Peng, B., Wang, C., He, X., et al. (2023). A smartphone -assisted ratiometric colorimetric and fluorescent probe for triple -mode determination of nitrite based on MnO 2 nanoparticles and carbon quantum dots. Food Chemistry, 410, 135151. https://doi.org/10.1016/j.foodchem.2022.135151

Singh, L., & Ranjan, N. (2023). Highly selective and sensitive detection of nitrite ion by an unusual nitration of a fluorescent benzimidazole. Journal of the American Chemical Society, 145(5), 2745–2749. https://doi.org/10.1021/jacs.2c10850

Wang, M., Liu, B., Liu, J., et al. (2023). Bifunctional manganese- doped silicon quantum dot -responsive smartphone -integrated paper sensor for visual multicolor/multifluorescence dual -mode detection of nitrite. Sensors and Actuators B: Chemical, 392, 134143. https://doi.org/10.1016/j.snb.2023.134143

Khoshmaram, L., & Tabaghchi, S. (2024). Feasibility of digital image- based colorimetry for on -site determination of nitrite in water samples. Journal of Analytical Chemistry, 79(4), 426 –429. https://doi.org/10.1134/S1061934824040075

Gusev, S., Louage, F., Van Hulle, S., & Rousseau, D. P. L. (2024). Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users. Chemometrics and Intelligent Laboratory Systems, 246, 105087. https://doi.org/10.1016/j.chemolab.2024.105087

Li, H., Song, Y., Zhou, B., & Xu, H. (2024). Nitrite: From application to detection and development. Applied Sciences, 14(19), 9027. https://doi.org/10.3390/app14199027

Xu, X., Nilghaz, A., Wan, X., Liu, S., Xue, M., Guo, W., & Tian, J. (2024). A novel premixing strategy for highly sensitive detection of nitrite on paper-based analytical devices. Analytica Chimica Acta, 1299, 342417. https://doi.org/10.1016/j.aca.2024.342417

Gregucci, D., Calabretta, M. M., Nazir, F., Rodriguez Arias, R. J., Biondi, F., Desiderio, R., & Michelini, E. (2025). An origami colorimetric paper -based sensor for sustainable on -site and instrument-free analysis of nitrite. Sensors & Diagnostics, 4(3), 239–246. https://doi.org/10.1039/D4SD00308J

Das, A., Sanakal, S. I., Sivakumar, G., Babu, A., & Maji, S. (2025). Development of a colorimetric sensor utilizing itaconic acid-mediated Griess reaction for sensitive detection of nitrite and nitrate in agricultural products. Materials Advances, 6(15), 5045 –5055. https://doi.org/10.1039/D5MA00314H

Quoc, T. N., Phan, M. -V., Dang, K. P., et al. (2026). Smartphone - based colorimetric sensing with reference calibration and ensemble machine learning for enhanced detection of nitrite and ammonium ions. Analytica Chimica Acta, 1388, 345097. https://doi.org/10.1016/j.aca.2026.345097

Markus, V., Paul, A. A., Marks, R. S., & Caleb, J. (2026). Smartphone digital image colorimetry: An affordable easy -to-use technique. Analytical Letters, 59(1), 158 –176. https://doi.org/10.1080/00032719.2025.2474573