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E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
Cheli, Federica; Ottoboni, Matteo; Fumagalli, Francesca; Mazzoleni, Sharon; Ferrari, Luca; Pinotti, Luciano.
Afiliação
  • Cheli F; Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy.
  • Ottoboni M; CRC I-WE (Coordinating Research Centre: Innovation for Well-Being and Environment), University of Milan, 20100 Milan, Italy.
  • Fumagalli F; Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy.
  • Mazzoleni S; Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy.
  • Ferrari L; Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy.
  • Pinotti L; Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy.
Toxins (Basel) ; 15(2)2023 02 11.
Article em En | MEDLINE | ID: mdl-36828460
ABSTRACT
Mycotoxin risk in the feed supply chain poses a concern to animal and human health, economy, and international trade of agri-food commodities. Mycotoxin contamination in feed and food is unavoidable and unpredictable. Therefore, monitoring and control are the critical points. Effective and rapid methods for mycotoxin detection, at the levels set by the regulations, are needed for an efficient mycotoxin management. This review provides an overview of the use of the electronic nose (e-nose) as an effective tool for rapid mycotoxin detection and management of the mycotoxin risk at feed business level. E-nose has a high discrimination accuracy between non-contaminated and single-mycotoxin-contaminated grain. However, the predictive accuracy of e-nose is still limited and unsuitable for in-field application, where mycotoxin co-contamination occurs. Further research needs to be focused on the sensor materials, data analysis, pattern recognition systems, and a better understanding of the needs of the feed industry for a safety and quality management of the feed supply chain. A universal e-nose for mycotoxin detection is not realistic; a unique e-nose must be designed for each specific application. Robust and suitable e-nose method and advancements in signal processing algorithms must be validated for specific needs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Micotoxinas Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Micotoxinas Idioma: En Ano de publicação: 2023 Tipo de documento: Article