Cocoa origin classifiability through LC-MS data: A statistical approach for large and long-term datasets

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dc.contributor.authorSanthust Kumara
dc.contributor.authorRoy N. D’Souza
dc.contributor.authorBritta Behrends
dc.date.accessioned2021-12-29T07:57:43Z
dc.date.available2021-12-29T07:57:43Z
dc.date.issued2021
dc.identifier.citationFood Research International 140(2021)109983en_US
dc.identifier.urihttp://hdl.handle.net/123456789/8593
dc.language.isoenen_US
dc.subjectTheobroma cacaoen_US
dc.subjectLC-MSen_US
dc.subjectPrincipal component analysis (PCA)en_US
dc.subjectLinear discriminant analysis (LDA)en_US
dc.subjectOrigin classificationen_US
dc.subjectFeature selectionen_US
dc.titleCocoa origin classifiability through LC-MS data: A statistical approach for large and long-term datasetsen_US
dc.typeArticleen_US

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