Development of Latex Microsphere-Based Immunochromatographic Strips for Detecting Key Aflatoxins
Due to the severe hazard of aflatoxins (AFs) to humans, it is of great significance to detect the key aflatoxins, aflatoxin B<sub>1</sub> (AFB<sub>1</sub>) and aflatoxin G<sub>1</sub> (AFG<sub>1</sub>), in food and feed in simple, rapid, and semi-quantitative ways. The hybridoma clone 3A1 was prepared in this study, and anti-AFB<sub>1</sub> monoclonal antibody (mAb) with high specificity and affinity (9.38 × 10<sup>8</sup> L/mol) from 3A1 was purified. The indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) demonstrated that the linear detection range for AFB<sub>1</sub> was 0.029-1.526 ng/mL with a limits of determination (LOD) of 0.023 ng/mL. A latex microsphere-based immunochromatographic test strip (LM-ICTS) was constructed based on 3A1, which showed that the strip could detect AFB<sub>1</sub> (LOD: lower than 1.79 ng/mL) and AFG<sub>1</sub> (LOD: lower than 8.08 ng/mL), and the linear detection ranges for AFB<sub>1</sub> and AFG<sub>1</sub> are 1.79-48.46 ng/mL and 8.08-107.40 ng/mL, respectively. The average recoveries of intra-assay and inter-assay for peanuts were (98.4 ± 4.7)% and (92.6 ± 7.6)%, and the average coefficient of variation (CVs) were 4.38% and 8.15%, respectively. For sunflower seeds, the intra-assay and inter-assay recoveries were (94.4 ± 7.2)% and (89.2 ± 4.3)%, and the average CVs were 6.6% and 4.9%, respectively. In summary, the developed LM-ICTS exhibited excellent sensitivity and specificity, which provided a rapidly stable on-site detection choice for AFB<sub>1</sub> and AFG<sub>1</sub> to contaminated agricultural samples, including grain and feed.
Authors
- Shihua Wang (ORCID: https://orcid.org/0000-0002-1544-5972)
- Wangzhuo Fu
- Xiaojuan Ma (ORCID: https://orcid.org/0000-0001-5927-2658)
- Jie Wang (ORCID: https://orcid.org/0000-0002-3895-8527)
- Lin Chen (ORCID: https://orcid.org/0000-0003-3399-8711)
- Zhenhong Zhuang (ORCID: https://orcid.org/0000-0003-0968-6507)
- Hongyun Qian
- Sumei Ling
- Weitao Song
Institutions
- Fujian Medical University (CN)
- Fujian Agriculture and Forestry University (CN)
Publication Details
- Journal
- Toxins
- Published
- 2025-08-22
- DOI
- https://doi.org/10.3390/toxins17090426
- Citations
- 1
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.67