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Quantitative SERS sensor for mycotoxins with extraction and identification function.
Zhang, Yang; Zhao, Chuping; Picchetti, Pierre; Zheng, Kaiyi; Zhang, Xinai; Wu, Yanling; Shen, Ye; De Cola, Luisa; Shi, Jiyong; Guo, Zhiming; Zou, Xiaobo.
Afiliação
  • 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 Mari
  • 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
Food Chem ; 456: 140040, 2024 Oct 30.
Article em En | MEDLINE | ID: mdl-38878539
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Contaminação de Alimentos / Zea mays / Nanopartículas Metálicas / Ouro / Micotoxinas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Contaminação de Alimentos / Zea mays / Nanopartículas Metálicas / Ouro / Micotoxinas Idioma: En Ano de publicação: 2024 Tipo de documento: Article