Smart Sensing Strategies for Organophosphorus Pesticides Detection: Recent Progress in AuNPs-Based Colorimetric and Fluorometric Methods

The extensive use of organophosphorus pesticides (OPs) in agriculture has significantly contributed to enhanced crop yield and pest control. However, their persistence and high toxicity have raised serious environmental and public health concerns, including neurological disorders, endocrine disruption, and long-term ecological damage. This necessitates the development of rapid, highly sensitive, and cost-effective detection methods for monitoring OP residues in food, water, and soil. In recent years, gold nanoparticles (AuNPs) have gained considerable attention as smart sensing platforms for OP detection, owing to their remarkable optical properties, tunable surface chemistry, and excellent biocompatibility. This review highlights recent progress in AuNPs-based colorimetric and fluorometric sensors specifically tailored for detecting a broad range of OPs. The fundamental detection mechanisms, such as enzyme inhibition, aptamer binding, and aggregation-induced plasmonic shifts are thoroughly discussed to provide insights into sensor design strategies. By integrating nanotechnology with environmental and food safety frameworks, AuNP-based smart sensors represent a transformative approach for real-time, user-friendly detection of OPs. The innovations summarized in this review aim to support the development of accessible analytical tools that can be used by both professionals and non-specialists, ultimately contributing to safer agricultural practices and improved public health outcomes.

Authors

Institutions

Publication Details

Journal
Critical Reviews in Analytical Chemistry
Published
2025-10-24
DOI
https://doi.org/10.1080/10408347.2025.2575905
Citations
1
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
0.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Sensing Strategies for Organophosphorus Pesticides Detection: Recent Progress in AuNPs-Based Colorimetric and Fluorometric Methods

F. M. Alshareef
1 citations
Critical Reviews in Analytical Chemistry
Molecular Sensors and Ion Detection
0.76
article

Smart Sensing Strategies for Organophosphorus Pesticides Detection: Recent Progress in AuNPs-Based Colorimetric and Fluorometric Methods

F. M. Alshareef
article en
1 citations

Abstract

The extensive use of organophosphorus pesticides (OPs) in agriculture has significantly contributed to enhanced crop yield and pest control. However, their persistence and high toxicity have raised serious environmental and public health concerns, including neurological disorders, endocrine disruption, and long-term ecological damage. This necessitates the development of rapid, highly sensitive, and cost-effective detection methods for monitoring OP residues in food, water, and soil. In recent years, gold nanoparticles (AuNPs) have gained considerable attention as smart sensing platforms for OP detection, owing to their remarkable optical properties, tunable surface chemistry, and excellent biocompatibility. This review highlights recent progress in AuNPs-based colorimetric and fluorometric sensors specifically tailored for detecting a broad range of OPs. The fundamental detection mechanisms, such as enzyme inhibition, aptamer binding, and aggregation-induced plasmonic shifts are thoroughly discussed to provide insights into sensor design strategies. By integrating nanotechnology with environmental and food safety frameworks, AuNP-based smart sensors represent a transformative approach for real-time, user-friendly detection of OPs. The innovations summarized in this review aim to support the development of accessible analytical tools that can be used by both professionals and non-specialists, ultimately contributing to safer agricultural practices and improved public health outcomes.

Critical Reviews in Analytical ChemistryVol. 56(2)
King Abdulaziz University (SA)
Openalex Percentile: Top 24%
Molecular Sensors and Ion Detection
0.76
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.