Machine Learning Approaches Applied to GC-FID Fatty Acid Profiles to Discriminate Wild from Farmed Salmon

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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Bibliographic Details
Main Authors: Liliana Grazina, P. J. Rodrigues, Getúlio Igrejas, Maria A. Nunes, Isabel Mafra, Marco Arlorio, M. Beatriz P. P. Oliveira, Joana S. Amaral
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Foods
Subjects:
authenticity
fish
<i>Salmo salar</i> L.
fatty acids
mislabeling
chemometrics
Online Access:https://www.mdpi.com/2304-8158/9/11/1622

Internet

https://www.mdpi.com/2304-8158/9/11/1622

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