Development of a lateral flow immunoassay for the on-site detection of Acifluorfen in agricultural products

Acifluorfen (AFF), a widely used diphenyl ether herbicide, raises significant environmental concerns due to its persistence and ecotoxicological risks, but the absence of immunoassay methods hinder efficient monitoring. A hybridoma cell line secreting a monoclonal antibody against AFF was developed via hybridoma technology to address this need. Using this antibody, we developed two lateral flow immunoassays (LFIAs) based on gold nanoparticles (AuNP-LFIA) and gold nanoflowers (AuNF-LFIA). The AuNP-LFIA exhibited a limit of detection (LOD) of 75.01 ng/mL. In contrast, the AuNF-LFIA demonstrated significantly enhanced sensitivity, achieving an LOD as low as 7.79 ng/mL, which represents a 9.6-fold improvement over the AuNP-LFIA. When applied to fruit and vegetable samples, both methods showed spike recovery rates ranging from 92.58% to 108.41%, and the results were in good agreement with those obtained by LC-MS. These findings suggest that the developed assays hold strong potential as reliable tools for the on-site detection of AFF. • We report the first development of monoclonal antibodies specifically targeting acifluorfen, thereby addressing a critical gap in the immunodetection tools available for this herbicide. • Ultrasensitive and specific detection achieved using a gold nanoflower-based lateral flow immunoassay, with a detection limit of 7.79 ng/mL and no cross-reactivity with common analogues. • Proven reliability in spiked agricultural samples, demonstrating the method's strong potential for rapid, on-site monitoring of AFF residues to enhance food safety control.

Authors

Institutions

Publication Details

Journal
Microchemical Journal
Published
2026-02-21
DOI
https://doi.org/10.1016/j.microc.2026.117477
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a lateral flow immunoassay for the on-site detection of Acifluorfen in agricultural products

Linfang Lu, Shaoze Wu, Jingwen Huang, Sumei Ling et al.
Microchemical Journal
Biosensors and Analytical Detection
article

Development of a lateral flow immunoassay for the on-site detection of Acifluorfen in agricultural products

Linfang Lu, Shaoze Wu, Jingwen Huang, Sumei Ling, Shihua Wang, Zhoujie Xu, Wenjun Yang, Xiaoli Li, Yibai Che, Jiakun Hong, Kang Jiang, Na Li
article en

Abstract

Acifluorfen (AFF), a widely used diphenyl ether herbicide, raises significant environmental concerns due to its persistence and ecotoxicological risks, but the absence of immunoassay methods hinder efficient monitoring. A hybridoma cell line secreting a monoclonal antibody against AFF was developed via hybridoma technology to address this need. Using this antibody, we developed two lateral flow immunoassays (LFIAs) based on gold nanoparticles (AuNP-LFIA) and gold nanoflowers (AuNF-LFIA). The AuNP-LFIA exhibited a limit of detection (LOD) of 75.01 ng/mL. In contrast, the AuNF-LFIA demonstrated significantly enhanced sensitivity, achieving an LOD as low as 7.79 ng/mL, which represents a 9.6-fold improvement over the AuNP-LFIA. When applied to fruit and vegetable samples, both methods showed spike recovery rates ranging from 92.58% to 108.41%, and the results were in good agreement with those obtained by LC-MS. These findings suggest that the developed assays hold strong potential as reliable tools for the on-site detection of AFF. • We report the first development of monoclonal antibodies specifically targeting acifluorfen, thereby addressing a critical gap in the immunodetection tools available for this herbicide. • Ultrasensitive and specific detection achieved using a gold nanoflower-based lateral flow immunoassay, with a detection limit of 7.79 ng/mL and no cross-reactivity with common analogues. • Proven reliability in spiked agricultural samples, demonstrating the method's strong potential for rapid, on-site monitoring of AFF residues to enhance food safety control.

Microchemical JournalVol. 224
Fujian Agriculture and Forestry University (CN)
Zero hunger
Openalex Percentile: Top 49%
Biosensors and Analytical Detection
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.