Fluorescence enhancement of glyphosate detection using Cu-MOF

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Authors: Lakshya Sankhla, Rinku Yadav, Amrita Kumari, Himmat Singh Kushwah
Cited by: 2
References: 35

Abstract

This study presents an optical sensor to detect glyphosate in wastewater using a Copper Metal-Organic Framework (Cu-MOF). To detect glyphosate directly, the sensor uses the fluorescence enhancement caused by the Cu-MOF dispersion in an ethanol solution. The sensor can detect glyphosate with an impressive 37.1 nM detection limit in a linear detection range of 0 µM to 0.63 µM. The exceptional selectivity of Cu-MOF for glyphosate, even in the presence of other pesticides and ions, was demonstrated by selectivity experiments, underscoring its potential for use in environmental monitoring. Furthermore, we tested the selectivity and applicability of the proposed sensor by using real-world samples. This selectivity highlights how well the sensor measures glyphosate, even in the complex matrices seen in wastewater systems. By tackling the issue of glyphosate contamination, the developed sensor marks substantial development in remediation tactics and environmental monitoring. Its high sensitivity, selectivity, and durable performance in challenging situations represent a significant advancement in the creation of efficient techniques for detecting glyphosate in wastewater, thereby enhancing efforts to safeguard the environment.

Fields of Study & Subjects

Pesticide and Herbicide Environmental Studies Polymer-Based Agricultural Enhancements Advanced oxidation water treatment

Publication details

Journal / source
Journal of Materials Science Materials in Energy
Publisher
Springer Science and Business Media LLC
Volume
2
Issue
1
Publication date
23 February 2026
Language
EN