Haiyan Fu, Peter Horvatovich, Minjie Zhao, Eric Marchioni, Yi Liu, Li Zhou, Yixin Suo, Yuanbin She
Journal: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 2025;341():126433
PMID: 40412232
Grains and goji berry are highly susceptible to fungal and mycotoxin during the processing and storage. Current detection methods require the use of complex sample preparation, expensive analytical platforms and professional operators, making rapid on-site detection difficult. This study explored a sensor based on β-Co(OH) nanosheets mediated composite material from graphene oxide (MGO), polyethyleneimine (PEI), and alkaline phosphatase (ALP) referred as MGO@PEI-ALP conjugate for the detection of masked mycotoxin (Deoxynivalenol-3-glucoside, D3G) in goji berries. The new sensor was able to detect D3G in the range of 0.50-3.50 mg/L with a 0.30 mg/L limit of detection, well below the maximum standard limit (1.0 mg) specified by the European Union. Meanwhile, this method could effectively remove D3G from complex dietary agricultural products. This study suggested a rapid visualization approach for the recognition of masked mycotoxin, offering valuable insights for food safety and quality.
Copyright © 2025. Published by Elsevier B.V.
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