Development of the Detection Method for Aflatoxin B1 Based on Nanobody-Nano Luciferase Fusion Proteins
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(1.College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070;2.State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Provincial Key Laboratory for Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou 510640)

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    Abstract:

    Aflatoxin B1 (AFB1) is a highly toxic and carcinogenic foodborne contaminant that seriously threatens food safety and public health. To develop a rapid bioluminescent enzyme immunoassay (BLEIA) for detecting AFB1, this study systematically evaluated the soluble expression, purification, and enzymatic activity of three anti-AFB1 nanobody-nano luciferase fusion proteins (G8-Nluc, Nluc-NB26, and Nluc-NB28). Based on the three fusion proteins, BLEIA assays were established, and Nluc-NB26 was selected for the analysis and validation of cereal samples. The results indicated that Nluc-NB26 exhibited the highest soluble expression level and better stability, followed by Nluc-NB28, while G8-Nluc was largely insoluble. Testing with various surfactants revealed that adding sodium lauroyl sarcosinate improved the solubility of G8-Nluc significantly. The purified fusion proteins all exhibited suitable enzymatic and antigen-binding activities. BLEIA results based on the fusion proteins showed the IC50 values for detecting AFB1 were 4.213, 1.697 and 2.169 ng/mL for the Nluc-NB28-BLEIA, G8-Nluc-BLEIA and Nluc-NB26-BLEIA systems, indicating that G8-Nluc-BLEIA had the highest sensitivity, comparable to Nluc-NB26-BLEIA, while Nluc-NB28-BLEIA had the lowest. Considering the soluble expression level, stability, and detection performance of the fusion proteins, Nluc-NB26-BLEIA was further applied to analyze and validate cereal samples. The results demonstrated that this method achieved average recovery rates of 91.1% to 104.1%, comparable to commercial ELISA kits, but with significantly reduced detection time and reagent cost. These findings offer valuable insights for developing rapid and highly sensitive detection techniques for AFB1.

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  • Received:August 15,2023
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  • Online: May 24,2024
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