Fluorescence enhancement of glyphosate detection using Cu-MOF

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.

Authors

Institutions

Publication Details

Journal
Journal of Materials Science Materials in Energy
Published
2026-02-23
DOI
https://doi.org/10.1007/s44308-025-00005-y
Primary Topic
Pesticide and Herbicide Environmental Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fluorescence enhancement of glyphosate detection using Cu-MOF

Lakshya Sankhla, Amrita Kumari, Himmat Singh Kushwah, Rinku Yadav
Journal of Materials Science Materials in Energy
Pesticide and Herbicide Environmental Studies
article

Fluorescence enhancement of glyphosate detection using Cu-MOF

Lakshya Sankhla, Amrita Kumari, Himmat Singh Kushwah, Rinku Yadav
article en

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.

Journal of Materials Science Materials in EnergyVol. 2(1)
Indian Institute of Science Bangalore (IN), Manipal University Jaipur, Central University of Rajasthan (IN)
Division of Materials Research
Clean water and sanitation
Openalex Percentile: Top 47%
Pesticide and Herbicide Environmental Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.