Machine learning approaches applied to GC-FID fatty acid profiles to discriminate wild from farmed salmon

In the last decade, there has been an increasing demand for wild-captured fish, which attains higher prices compared to farmed species, thus being prone to mislabeling practices. In this work, fatty acid composition coupled to advanced chemometrics was used to discriminate wild from farmed salmon. T...

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Detalhes bibliográficos
Autor principal: Grazina, Liliana (author)
Outros Autores: Rodrigues, Pedro João (author), Igrejas, Getúlio (author), Nunes, Maria A. (author), Mafra, Isabel (author), Arlorio, Marco (author), Oliveira, Beatriz (author), Amaral, Joana S. (author)
Formato: article
Idioma:eng
Publicado em: 2018
Assuntos:
Authenticity
Chemometrics
Fatty acids
Fish
Machine learning
Mislabeling
Salmo salar L
Texto completo:http://hdl.handle.net/10198/23356
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/23356

Texto Completo

http://hdl.handle.net/10198/23356

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