Quantitative SERS sensor for mycotoxins with extraction and identification function.

Autor: Zhang Y; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Zhao C; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Picchetti P; Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, Germany., Zheng K; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Zhang X; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Wu Y; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Shen Y; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., De Cola L; Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, Germany; Department DISFARM, University of Milano, via Camillo Golgi 19, 20133 Milano, Italy; Department of Molecular Biochemistry and Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRRCCS, 20156 Milano, Italy., Shi J; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Guo Z; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China., Zou X; International Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China. Electronic address: zou_xiaobo@ujs.edu.cn.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2024 Oct 30; Vol. 456, pp. 140040. Date of Electronic Publication: 2024 Jun 08.
DOI: 10.1016/j.foodchem.2024.140040
Abstrakt: The development of new sensors for on-site food toxin monitoring that combine extraction, analytes distinction and detection is important in resource-limited environments. Surface-enhanced Raman scattering (SERS)-based signal readout features fast response and high sensitivity, making it a powerful method for detecting mycotoxins. In this work, a SERS-based assay for the detection of multiple mycotoxins is presented that combines extraction and subsequent detection, achieving an analytically relevant detection limit (∼ 1 ng/mL), which is also tested in corn samples. This sensor consists of a magnetic-core and mycotoxin-absorbing polydopamine-shell, with SERS-active Au nanoparticles on the outer surface. The assay can concentrate multiple mycotoxins, which are identified through multiclass partite least squares analysis based on their SERS spectra. We developed a strategy for the analysis of multiple mycotoxins with minimal sample pretreatment, enabling in situ analytical extraction and subsequent detection, displaying the potential to rapidly identify lethal mycotoxin contamination on site.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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