Authentication of the Origin, Variety and Roasting Degree of Coffee Samples by Non-Targeted HPLC-UV Fingerprinting and Chemometrics. Application to the Detection and Quantitation of Adulterated Coffee Samples

In this work, non-targeted approaches relying on HPLC-UV chromatographic fingerprints were evaluated to address coffee characterization, classification, and authentication by chemometrics. In general, high-performance liquid chromatography with ultraviolet detection (HPLC-UV) fingerprints were good...

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Auteurs principaux:	Nerea Núñez, Xavi Collado, Clara Martínez, Javier Saurina, Oscar Núñez
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-03-01
Collection:	Foods
Sujets:	hplc-uv fingerprinting non-targeted analysis coffee food authentication food adulteration principal component analysis (pca) partial least squares regression (plsr)
Accès en ligne:	https://www.mdpi.com/2304-8158/9/3/378
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