Multimode Immunochromatography Assay Based on Portable Instruments for Sensitive and Rapid Detection of Carbendazim in Real Samples

ABSTRACT The extensive application of carbendazim in agricultural practices has resulted in detectable residues across food commodities, necessitating the development of a rapid, sensitive, and field‐deployable analytical platform for multiscenario monitoring. In this work, the multimode immunochromatography assay based on portable instruments has been constructed for sensitive and rapid detection of carbendazim. Under optimized working parameters, the visual detection mode (Mode 1) has achieved a visual detection limit of 1.0 ng/mL for carbendazim. The immunochromatography assay (Mode 2) based on a portable reader has realized the detection of carbendazim in the range from 1.0 to 500.0 ng/mL with an LOD as low as 0.32 ng/mL. The PC platform (Mode 3) developed in PyCharm software based on RGB values on the T line was conducted for carbendazim, achieving a detection range of 1.0–500.0 ng/mL and an LOD as low as 0.033 ng/mL. The accuracy and effectiveness of the developed multimode immunochromatography assay were successfully verified by HPLC and ELISA for the determination of carbendazim in tomato, cucumber, and tea samples. The proposed multimode immunochromatography assay provides a new mutual verification strategy for the rapid, sensitive detection of carbendazim and other pesticides in fruits and vegetables.

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Publication Details

Journal
Food Safety and Health
Published
2025-10-23
DOI
https://doi.org/10.1002/fsh3.70049
Citations
1
Primary Topic
Pharmacological Effects and Assays
Type
article
Field-Weighted Citation Impact
1.19

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article

Multimode Immunochromatography Assay Based on Portable Instruments for Sensitive and Rapid Detection of Carbendazim in Real Samples

Junqi Shen, Xiaoyu Jia, Danfeng Cai, Shanpeng Wen et al.
1 citations
Food Safety and Health
Pharmacological Effects and Assays
1.19
article

Multimode Immunochromatography Assay Based on Portable Instruments for Sensitive and Rapid Detection of Carbendazim in Real Samples

Junqi Shen, Xiaoyu Jia, Danfeng Cai, Shanpeng Wen, Zhaojun Ban, Jinlan Liu, Xiaoping Yu, Xuecheng Zhang, Biao Zhang, Cheng Zhang, Jin Cheng, S. Song, Lecheng Lyu
article en
1 citations

Abstract

ABSTRACT The extensive application of carbendazim in agricultural practices has resulted in detectable residues across food commodities, necessitating the development of a rapid, sensitive, and field‐deployable analytical platform for multiscenario monitoring. In this work, the multimode immunochromatography assay based on portable instruments has been constructed for sensitive and rapid detection of carbendazim. Under optimized working parameters, the visual detection mode (Mode 1) has achieved a visual detection limit of 1.0 ng/mL for carbendazim. The immunochromatography assay (Mode 2) based on a portable reader has realized the detection of carbendazim in the range from 1.0 to 500.0 ng/mL with an LOD as low as 0.32 ng/mL. The PC platform (Mode 3) developed in PyCharm software based on RGB values on the T line was conducted for carbendazim, achieving a detection range of 1.0–500.0 ng/mL and an LOD as low as 0.033 ng/mL. The accuracy and effectiveness of the developed multimode immunochromatography assay were successfully verified by HPLC and ELISA for the determination of carbendazim in tomato, cucumber, and tea samples. The proposed multimode immunochromatography assay provides a new mutual verification strategy for the rapid, sensitive detection of carbendazim and other pesticides in fruits and vegetables.

Food Safety and HealthVol. 4(1)
Hangzhou Academy of Agricultural Sciences (CN), China Federation of Supply and Marketing Cooperatives (CN), Tianjin Academy of Agricultural Sciences (CN), China Jiliang University (CN), Zhejiang University of Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 19%
Pharmacological Effects and Assays
1.19
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