Cargando…

E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?

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 met...

Descripción completa

Detalles Bibliográficos
Autores principales: Cheli, Federica, Ottoboni, Matteo, Fumagalli, Francesca, Mazzoleni, Sharon, Ferrari, Luca, Pinotti, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958648/
https://www.ncbi.nlm.nih.gov/pubmed/36828460
http://dx.doi.org/10.3390/toxins15020146
_version_ 1784895076188553216
author Cheli, Federica
Ottoboni, Matteo
Fumagalli, Francesca
Mazzoleni, Sharon
Ferrari, Luca
Pinotti, Luciano
author_facet Cheli, Federica
Ottoboni, Matteo
Fumagalli, Francesca
Mazzoleni, Sharon
Ferrari, Luca
Pinotti, Luciano
author_sort Cheli, Federica
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9958648
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99586482023-02-26 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 Toxins (Basel) Review 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. MDPI 2023-02-11 /pmc/articles/PMC9958648/ /pubmed/36828460 http://dx.doi.org/10.3390/toxins15020146 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Cheli, Federica
Ottoboni, Matteo
Fumagalli, Francesca
Mazzoleni, Sharon
Ferrari, Luca
Pinotti, Luciano
E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
title E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
title_full E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
title_fullStr E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
title_full_unstemmed E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
title_short E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology?
title_sort e-nose technology for mycotoxin detection in feed: ready for a real context in field application or still an emerging technology?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958648/
https://www.ncbi.nlm.nih.gov/pubmed/36828460
http://dx.doi.org/10.3390/toxins15020146
work_keys_str_mv AT chelifederica enosetechnologyformycotoxindetectioninfeedreadyforarealcontextinfieldapplicationorstillanemergingtechnology
AT ottobonimatteo enosetechnologyformycotoxindetectioninfeedreadyforarealcontextinfieldapplicationorstillanemergingtechnology
AT fumagallifrancesca enosetechnologyformycotoxindetectioninfeedreadyforarealcontextinfieldapplicationorstillanemergingtechnology
AT mazzolenisharon enosetechnologyformycotoxindetectioninfeedreadyforarealcontextinfieldapplicationorstillanemergingtechnology
AT ferrariluca enosetechnologyformycotoxindetectioninfeedreadyforarealcontextinfieldapplicationorstillanemergingtechnology
AT pinottiluciano enosetechnologyformycotoxindetectioninfeedreadyforarealcontextinfieldapplicationorstillanemergingtechnology