Rapid, Sensitive On-Site Detection of Deoxynivalenol in Cereals Using Portable and Reusable Evanescent Wave Optofluidic Immunosensor

Yanping Liu, Yuyang Chen, Wenjuan Xu, Dan Song, Xiangzhi Han and Feng Long
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Yanping Liu: School of Environment and Natural Resources, Renmin University of China, Beijing 100874, China
Yuyang Chen: China National Intellectual Property Administration, Beijing 100088, China
Wenjuan Xu: School of Environment and Natural Resources, Renmin University of China, Beijing 100874, China
Dan Song: School of Environment and Natural Resources, Renmin University of China, Beijing 100874, China
Xiangzhi Han: School of Environment and Natural Resources, Renmin University of China, Beijing 100874, China
Feng Long: School of Environment and Natural Resources, Renmin University of China, Beijing 100874, China

IJERPH, 2022, vol. 19, issue 7, 1-10

Abstract: This paper develops an improved portable and reusable evanescent wave optofluidic immunosensor (OIP-v2) for rapid and sensitive on-site determination of deoxynivalenol (DON), one of the most frequently detected mycotoxins mainly produced by Fusarium species. Using the bifunctional reagent N,N′-Disuccinimidyl carbonate, deoxynivalenol-bovine-serum-albumin (DON-BSA) were covalently modified onto a bio-probe surface as biorecognition elements, whose robustness allowed it to perform multiple detections without significant activity loss. An indirect competitive immunoassay strategy was applied for DON detection. Under optimal conditions, the limit of detection of 0.11 μg/L and the linear dynamic detection range of 0.43 to 36.61 μg/L was obtained when the concentration of the Cy5.5-anti-DON antibody was 0.25 μg/mL. The OIP-v2 was also applied to detect DON in various cereals, and the recoveries ranged from 81% to 127%. The correlation between OIP-v2 and enzyme-linked immunosorbent assay (ELISA) through the simultaneous detection of maize-positive samples was in good agreement (R 2 = 0.9891).

Keywords: deoxynivalenol; evanescent wave; immunosensor; optofluidic; food detection (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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