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Detection of insect's meal in compound feed by Near Infrared spectral imaging.
Mandrile, Luisa; Fusaro, Ilaria; Amato, Giuseppina; Marchis, Daniela; Martra, Gianmario; Rossi, Andrea Mario.
Afiliação
  • Mandrile L; Department of Chemistry, University of Torino, Via Giuria 7, 10125 Torino, Italy; Quality of life Division, Istituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91, 10135 Torino, Italy. Electronic address: luisa.mandrile@unito.it.
  • Fusaro I; Quality of life Division, Istituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91, 10135 Torino, Italy.
  • Amato G; Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154 Torino, Italy.
  • Marchis D; Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154 Torino, Italy.
  • Martra G; Department of Chemistry, University of Torino, Via Giuria 7, 10125 Torino, Italy.
  • Rossi AM; Quality of life Division, Istituto Nazionale di Ricerca Metrologica, Strada delle Cacce, 91, 10135 Torino, Italy.
Food Chem ; 267: 240-245, 2018 Nov 30.
Article em En | MEDLINE | ID: mdl-29934163
ABSTRACT
Insects have recently emerged as a new protein source for both food and feed. Some studies have already demonstrated that insects' meal can be successfully added to animal feed without threaten animals' growth indices. However, effective and validated tests to individuate insects' meal in feed are strongly needed to meet traceability and safety concerns and to support the European legislation under development. Spectroscopic techniques represent valuable rapid and non-destructive methods that can be applied for in-situ analysis in feed production plants or in farms. In this work a Fourier Transform Near Infrared spectroscopy imaging (FT NIR) as a potential screening method for the detection and quantification of insects' meal in feed is presented. Discriminant analysis was used for the automatic recognition of insects' meal fragments into the feed matrix. Moreover, the possibility to quantify insect's meal in feed sample was successfully tested. The proposed method is a rapid and green strategy for feed contamination screening analysis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectroscopia de Luz Próxima ao Infravermelho / Ração Animal Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectroscopia de Luz Próxima ao Infravermelho / Ração Animal Idioma: En Ano de publicação: 2018 Tipo de documento: Article