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Evaluation of SIMCA and PLS algorithms to detect adulterants in canola oil by FT‐IR
Author(s) -
Gagneten Maite,
Buera María del Pilar,
Rodríguez Silvio D.
Publication year - 2021
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/ijfs.14866
Subject(s) - adulterant , canola , mathematics , edible oil , sunflower oil , sunflower , food science , sunflower seed , pattern recognition (psychology) , chemistry , artificial intelligence , chromatography , computer science , combinatorics
Detection of adulterants in canola oil by FT‐IR and chemometrics.