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<p>Multi-residue colloidal gold lateral flow immunoassays (CG-LFIAs) play a critical role in high-throughput, rapid, and customized food safety testing. In this study, a systematic strategy for constructing multi-residue CG-LFIAs was developed, using chlorantraniliprole (CTP), emamectin benzoate (EMB), and fipronil (FEN) as model analytes. A stepwise workflow, progressing from single-strip to multiple T lines, was employed to systematically optimize key factors affecting assay performance, including antibody labeling, T line spatial arrangement, membrane treatment, absorbent pad length, buffer composition, pH, reaction time, and chromatographic time, in order to balance multi-analyte interactions and reduce cross-interference. Matrix-specific sample pretreatment further enhanced assay robustness and reproducibility. The resulting multi-residue LFIA demonstrated satisfactory sensitivity, precision, and matrix tolerance, enabling simultaneous detection of multiple chemical pesticides in complex plant- and animal-derived matrices, including cowpea, chicken, egg, and milk. The proposed strategy provides a general framework for developing multi‑residue LFIA platforms, improving analytical efficiency and offering a promising, systematically validated method that could serve as a practical on‑site tool for rapid pesticide residue monitoring in complex food systems.</p>

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A Rapid and Sensitive Multi-Residue Colloidal Gold Lateral Flow Immunoassay for Simultaneous Detection of Pesticide Residues in Complex Food Matrices

  • 期刊论文

  • 发表日期：

    2026年7月10日

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  • Zizhe Li,
  • Xiaole Pan,
  • Chen Xing,
  • Yantong Pan,
  • Zhanhui Wang,
  • Jiancheng Li

摘要

Multi-residue colloidal gold lateral flow immunoassays (CG-LFIAs) play a critical role in high-throughput, rapid, and customized food safety testing. In this study, a systematic strategy for constructing multi-residue CG-LFIAs was developed, using chlorantraniliprole (CTP), emamectin benzoate (EMB), and fipronil (FEN) as model analytes. A stepwise workflow, progressing from single-strip to multiple T lines, was employed to systematically optimize key factors affecting assay performance, including antibody labeling, T line spatial arrangement, membrane treatment, absorbent pad length, buffer composition, pH, reaction time, and chromatographic time, in order to balance multi-analyte interactions and reduce cross-interference. Matrix-specific sample pretreatment further enhanced assay robustness and reproducibility. The resulting multi-residue LFIA demonstrated satisfactory sensitivity, precision, and matrix tolerance, enabling simultaneous detection of multiple chemical pesticides in complex plant- and animal-derived matrices, including cowpea, chicken, egg, and milk. The proposed strategy provides a general framework for developing multi‑residue LFIA platforms, improving analytical efficiency and offering a promising, systematically validated method that could serve as a practical on‑site tool for rapid pesticide residue monitoring in complex food systems.