Issue 8, 2025, Issue in Progress

Development of a rapid sensor system for nitrate detection in water using enhanced Raman spectroscopy

Abstract

Nitrate is a primary source of nitrogen pollution in aquatic environments, making timely monitoring of its levels in surface and drinking water essential for environmental protection and public health. Conventional laboratory methods are time-consuming and require specialized expertise, while chemical electrode-based online detection systems are hindered by challenges—such as frequent calibration and ion cross-interference—which limits their suitability for long-term monitoring. To address these limitations, a novel nitrate detection method, utilizing an enhanced Raman spectroscopy device, was developed to rapidly detect nitrate in water. The incorporation of an optical feedback mechanism significantly improved detection sensitivity, achieving a detection limit of 2.89 mg per L N, with single sample analysis completed in under one minute. Furthermore, a compact and portable detection system was designed by integrating the Raman enhancement device with a handheld Raman spectrometer, which was successfully validated using real-world environmental water samples. The proposed nitrate detection system features a streamlined user design and user-friendly operation, offering an innovative approach for rapid water pollution detection and early warning. It also provides a foundation for establishing continuous online monitoring systems for water quality.

Graphical abstract: Development of a rapid sensor system for nitrate detection in water using enhanced Raman spectroscopy

Article information

Article type
Paper
Submitted
03 Dec 2024
Accepted
13 Feb 2025
First published
20 Feb 2025
This article is Open Access
Creative Commons BY license

RSC Adv., 2025,15, 5728-5736

Development of a rapid sensor system for nitrate detection in water using enhanced Raman spectroscopy

X. Xia, G. Yang, H. Tian, F. Cao, F. Luo and D. Dong, RSC Adv., 2025, 15, 5728 DOI: 10.1039/D4RA08516G

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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