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Evidence on the discrimination of quinoa grains with a combination of FT-MIR and FT-NIR spectroscopy.

ABSTRACT: Quinoa is considered as a valuable re-emergent crop due to its nutritional composition. In this study, five quinoa grains from different geographical origin (Real, CHEN 252, Regalona, BO25 and UDc9) were discriminated using a combination of FT-MIR and FT-NIR spectra as input for principal component analysis (PCA), cluster analysis (CA) and soft independent modelling class analogy (SIMCA). The results obtained from PCA and CA show a great power of discrimination, with an average silhouette width value of 0.96. Moreover, SIMCA showed an error rate and accuracy values of 0 and 1 respectively with only 4% misclassified samples. A relationship between each principal component and the most important variables for the discrimination were mainly due to vibrations of several oleofins groups (C-H, C-H2, C-H3), alkene group (-CH=CH-), hydroxyl group (O-H) and Amides I and II vibrational modes.

SUBMITTER: Rodriguez SD

PROVIDER: S-EPMC6801269 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Evidence on the discrimination of quinoa grains with a combination of FT-MIR and FT-NIR spectroscopy.

Rodríguez Silvio D SD López-Fernández M P MP Maldonado S S Buera M P MP

Journal of food science and technology 20190723 10

Quinoa is considered as a valuable re-emergent crop due to its nutritional composition. In this study, five quinoa grains from different geographical origin (Real, CHEN 252, Regalona, BO25 and UDc9) were discriminated using a combination of FT-MIR and FT-NIR spectra as input for principal component analysis (PCA), cluster analysis (CA) and soft independent modelling class analogy (SIMCA). The results obtained from PCA and CA show a great power of discrimination, with an average silhouette width ...[more]

PMID: 31686677

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