A FRET-triggered probe for specific and interference-resistant detection of organophosphorus pesticides by composite Zr-MOFs

Organophosphorus pesticides (OPPs) posed significant risks to both ecological and human health due to their widespread use and toxicity. Traditional detection methods for OPPs are complex and require expensive equipment. In this study, a novel fluorescence-based detection strategy is proposed, using serine-based carbon quantum dots (CQDs) encapsulated in a Zr-based porphyrin metal-organic framework (MOF). This composite material exploits the triggering of fluorescence resonance energy transfer (FRET) between the CQDs and Zr-MOF for selective detection of OPPs. The FRET efficiency of this system is 72.9%, enabling it to have interference-resistant detection capabilities. The detection limits are approaching the detection limit of gas chromatography (~5 µg/L). The probe is applicable for environmental monitoring and food safety testing, offering a promising alternative for rapid on-site detection of OPPs without relying on enzymes. • An enzyme-free FRET probe for specific OPP detection. • Carbon quantum dots modified with serine were encapsulated into MOFs to form probes. • Efficient energy transfer enables sensitive OPP detection, approaching GC levels. • It allows rapid on-site OPP monitoring in real samples.

Authors

Institutions

Publication Details

Journal
Journal of Food Composition and Analysis
Published
2026-01-14
DOI
https://doi.org/10.1016/j.jfca.2026.108901
Primary Topic
Carbon and Quantum Dots Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A FRET-triggered probe for specific and interference-resistant detection of organophosphorus pesticides by composite Zr-MOFs

Jingru Yang, Mingxin Yang, Minjie Li, Mengyao Li et al.
Journal of Food Composition and Analysis
Carbon and Quantum Dots Applications
article

A FRET-triggered probe for specific and interference-resistant detection of organophosphorus pesticides by composite Zr-MOFs

Jingru Yang, Mingxin Yang, Minjie Li, Mengyao Li, Bingbing Peng, Dingyu Hu, Jia Liu, Jinhong Jiang, Zhijie Wang, Youjia Tian, Juan Li
article en

Abstract

Organophosphorus pesticides (OPPs) posed significant risks to both ecological and human health due to their widespread use and toxicity. Traditional detection methods for OPPs are complex and require expensive equipment. In this study, a novel fluorescence-based detection strategy is proposed, using serine-based carbon quantum dots (CQDs) encapsulated in a Zr-based porphyrin metal-organic framework (MOF). This composite material exploits the triggering of fluorescence resonance energy transfer (FRET) between the CQDs and Zr-MOF for selective detection of OPPs. The FRET efficiency of this system is 72.9%, enabling it to have interference-resistant detection capabilities. The detection limits are approaching the detection limit of gas chromatography (~5 µg/L). The probe is applicable for environmental monitoring and food safety testing, offering a promising alternative for rapid on-site detection of OPPs without relying on enzymes. • An enzyme-free FRET probe for specific OPP detection. • Carbon quantum dots modified with serine were encapsulated into MOFs to form probes. • Efficient energy transfer enables sensitive OPP detection, approaching GC levels. • It allows rapid on-site OPP monitoring in real samples.

Journal of Food Composition and AnalysisVol. 150
Chinese Academy of Sciences (CN), Food Research Institute (SK), Institute of High Energy Physics (CN)
Openalex Percentile: Top 89%
Carbon and Quantum Dots Applications
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.