ERef Bayreuth

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Classification of cereal flour species using Raman spectroscopy in combination with spectra quality control and multivariate statistical analysis

Title data

Kniese, Jasmin ; Race, Alan M. ; Schmidt, Heinar:
Classification of cereal flour species using Raman spectroscopy in combination with spectra quality control and multivariate statistical analysis.
In: Journal of Cereal Science. Vol. 101 (September 2021) . - No. 103299.
ISSN 0733-5210
DOI: https://doi.org/10.1016/j.jcs.2021.103299

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Authenticity; Harvest year; Mahalanobis distance; PCA; PLS-DA; SIMCA; Prediction
Institutions of the University:	Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Bioanalytical Sciences and Food Analytics > Chair Bioanalytical Sciences and Food Analytics - Univ.-Prof. Dr. Andreas Römpp Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT) > Molecular Biosciences Faculties Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Bioanalytical Sciences and Food Analytics Graduate Schools Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT)
Result of work at the UBT:	Yes
DDC Subjects:	500 Science > 500 Natural sciences 500 Science > 540 Chemistry 500 Science > 570 Life sciences, biology
Date Deposited:	05 Oct 2021 08:05
Last Modified:	05 Oct 2021 08:37
URI:	https://eref.uni-bayreuth.de/id/eprint/67181