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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 (2021) . - 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 Life Sciences: Food, Nutrition and Health > 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 Life Sciences: Food, Nutrition and Health > Chair Bioanalytical Sciences and Food Analytics
Graduate Schools
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT)
Faculties > Faculty of Life Sciences: Food, Nutrition and Health
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: 14 Aug 2023 12:44
URI: https://eref.uni-bayreuth.de/id/eprint/67181