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.

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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
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article

Development of Latex Microsphere-Based Immunochromatographic Strips for Detecting Key Aflatoxins

Shihua Wang, Wangzhuo Fu, Xiaojuan Ma, Jie Wang et al.
1 citations
Toxins
Biosensors and Analytical Detection
0.67
article

Development of Latex Microsphere-Based Immunochromatographic Strips for Detecting Key Aflatoxins

Shihua Wang, Wangzhuo Fu, Xiaojuan Ma, Jie Wang, Lin Chen, Zhenhong Zhuang, Hongyun Qian, Sumei Ling, Weitao Song
article en
1 citations

Abstract

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.

ToxinsVol. 17(9)
Fujian Medical University (CN), Fujian Agriculture and Forestry University (CN)
Openalex Percentile: Top 28%
Biosensors and Analytical Detection
0.67
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