Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

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