Lateral flow immunochromatographic assay for rapid detection of dichlorvos residue in fruits and vegetables
Dichlorvos (DDVP), a widely used yet environmentally hazardous organophosphate pesticide, necessitates rapid field monitoring due to increasing regulatory restrictions. In this study, we firstly present a gold-nanoparticle-based lateral flow immunochromatographic assay (LFIA) employing a highly specific anti-DDVP monoclonal antibody for onsite DDVP detection within 20 min. The optimized LFIA exhibited exceptional analytical performance, with limits of detection spanning 16 μg/kg to 108 μg/kg across six fruit and vegetable matrices-all below the established maximum residue limits in foods. Method validation with spiked fruit and vegetable samples showed recovery rates of 87.3-109.4 % and 89.2-103.3 %, respectively, with coefficients of variation below 8.3 % and 7.9 %, respectively, confirming the accuracy and precision of the assay. Notably, LFIA exhibited good agreement with standard GC-MS/MS analysis when applied to 144 authentic samples, further validating its reliability for real-world applications. This LFIA offers key advantages including portability, cost-effectiveness, and compatibility with regulatory thresholds, making it an ideal alternative to conventional instrumental methods for routine pesticide residue screening in food safety supervision settings.
Authors
- Feng-Yan Chen
- Bao-Zhu Jia
- Zhenlin Xu (ORCID: https://orcid.org/0000-0002-1197-4615)
- Anurak Wongta (ORCID: https://orcid.org/0000-0003-0308-8477)
- Sumed Yadoung (ORCID: https://orcid.org/0009-0000-5798-0132)
- Surat Hongsibsong (ORCID: https://orcid.org/0000-0002-5510-5905)
- Phannika Tongchai (ORCID: https://orcid.org/0000-0002-4045-6534)
- Lin Guang Luo (ORCID: https://orcid.org/0000-0003-2322-793X)
- Yanyan Liu (ORCID: https://orcid.org/0000-0003-1857-6377)
Institutions
- South China Agricultural University (CN)
- Guangdong University Of Finances and Economics (CN)
- Guangdong University of Education (CN)
- Chiang Mai University (TH)
Publication Details
- Journal
- Food Chemistry X
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1016/j.fochx.2025.102613
- Citations
- 5
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 3.37