Graphene oxide-based three-dimensional Au nanofilm with high-density and controllable hotspots: A powerful film-type SERS tag for immunochromatographic analysis of multiple mycotoxins in complex samples

石墨烯 材料科学 纳米技术 拉曼散射 真菌毒素 拉曼光谱 伏马菌素B1 黄曲霉毒素 玉米赤霉烯酮 伏马菌素 纳米结构 化学 物理 光学 食品科学
作者
Shuai Zheng,Chaoguang Wang,Jiaxuan Li,Wenqi Wang,Qing Yu,Chongwen Wang,Shengqi Wang,Chongwen Wang,Shengqi Wang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:448: 137760-137760 被引量:69
标识
DOI:10.1016/j.cej.2022.137760
摘要

Co-contamination of mycotoxins in food and environment is a common phenomenon, which easily causes cumulative and synergistic damaging effects to human and animal health, poses great health and economy burdens to the world. A convenient technology for detection of multiple and low-concentration mycotoxins in real samples is highly desired but remains a challenge. Here, we proposed a multiplexed surface-enhanced Raman scattering (SERS)-immunochromatographic assay (ICA) that can sensitively and simultaneously detect three mycotoxins in unprocessed complex samples, using a graphene oxide-based three-dimensional (3D) Au nanofilm (called [email protected]) as the film-type SERS tag. A precise sub-1 nm PEI layer was constructed into the [email protected] nanostructure as built-in nanogap, which can accommodate Raman reporter molecules and create stable hotspots between the inner [email protected] film and outer assembled AuNP satellites. Grafting the 30 nm AuNPs onto the 2D [email protected] nanofilm greatly improved the SERS activity and colorimetric signal of film-type tags. Compared with traditional spherical SERS tags, the film-type [email protected] can provide greater reaction interface, excellent stability and dispersibility and multiple SERS hotspots over large area for ICA using. Given these advantages, the proposed SERS-ICA can achieve simultaneous quantitative detection of fumonisin B1, aflatoxin B1, and zearalenone, with low detection limit (0.529, 0.745, and 5.90 pg mL−1), short testing time (20 min), and high accuracy for real food/experimental samples. Our method shows great potential to fulfill practical requirements for detection of multiple mycotoxins.
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