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Research Article | Open Access

A novel AgNPs/MOF substrate-based SERS sensor for high-sensitive on-site detection of wheat gluten

Linglin FuaYanzhuo DuaJinru Zhoua,bHuan LiaMinzi WangcYanbo Wanga ( )
Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China
Zhejiang Engineering Research Institute of Food & Drug Quality and Safety, School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China
Zhejiang Dien Biotech Co., Ltd., Hangzhou 310030, China

Peer review under responsibility of Tsinghua University Press.

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Abstract

Gluten, known as the major allergen in wheat, has gained increasing concerns in industrialized countries, resulting in an urgent need for accurate, high-sensitive, and on-site detection of wheat gluten in complex food systems. Herein, we proposed a silver nanoparticles (AgNPs)/metal-organic framework (MOF) substrate-based surface-enhanced Raman scattering (SERS) sensor for the high-sensitive on-site detection of wheat gluten. The detection occurred on the newly in-situ synthesized AgNPs/MOF-modified SERS substrate, providing an enhancement factor (EF) of 1.89 × 105. Benefitting from the signal amplification function of AgNPs/MOF and the superiority of SERS, this sensor represented high sensitivity performance and a wide detection range from 1 × 10-15 mol/L to 2 × 10-6 mol/L with a detection limit of 1.16 × 10-16 mol/L, which allowed monitoring the trace of wheat gluten in complex food system without matrix interference. This reliable sandwich SERS sensor may provide a promising platform for high-sensitive, accurate, and on-site detection of allergens in the field of food safety.

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Food Science and Human Wellness
Pages 681-687

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Cite this article:
Fu L, Du Y, Zhou J, et al. A novel AgNPs/MOF substrate-based SERS sensor for high-sensitive on-site detection of wheat gluten. Food Science and Human Wellness, 2024, 13(2): 681-687. https://doi.org/10.26599/FSHW.2022.9250057

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Received: 22 September 2022
Revised: 10 October 2022
Accepted: 31 October 2022
Published: 25 September 2023
© 2024 Beijing Academy of Food Sciences. Publishing services by Tsinghua University Press.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).