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Zora Jandric, Anastassiya Tchaikovsky, Andreas Zitek, Tim Causon, Vaclav Stursa, Thomas Prohaska, Stephan Hann
Original Title
Multivariate modelling techniques applied to metabolomic, elemental and isotopic fingerprints for the verification of regional geographical origin of Austrian carrots
Type
journal article in Web of Science
Language
English
Original Abstract
An exploratory study for verifying regional geographical origin of carrots from specific production regions in Austria (“Genussregionen”) was performed by combining chemical fingerprinting methods, namely n(86Sr)/n(87Sr) isotope amount ratios, multi-elemental and metabolomic pattern. Chemometric classification models were built on individual and combined datasets using (data-driven) soft independent modelling of class analogies and (orthogonal) projections to latent structures-discriminant analysis to characterise and differentiate carrots grown in five regions in Austria. A predictive ability of 97% or better (depending on the classification technique) was obtained using combined Sr isotope amount ratios and multi-elemental data. The use of data fusion strategies, in particular the mid-level option (fusion of selected variables from the different analytical platforms), allowed highly efficient (99–100%, except soft independent modelling of class analogy with 97%) and correct classification of carrot samples.
Keywords
Carrots;Fingerprinting;Metabolomics;Multi-element;Origin;Strontium isotopes;Chemometric classification
Authors
Released
27. 8. 2020
ISBN
0308-8146
Periodical
FOOD CHEMISTRY
Number
338
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1
Pages to
10
Pages count
URL
https://www.sciencedirect.com/science/article/pii/S0308814620317866
BibTex
@article{BUT165039, author="Václav {Štursa} and Thomas {Prohaska}", title="Multivariate modelling techniques applied to metabolomic, elemental and isotopic fingerprints for the verification of regional geographical origin of Austrian carrots", journal="FOOD CHEMISTRY", year="2020", number="338", pages="1--10", doi="10.1016/j.foodchem.2020.127924", issn="0308-8146", url="https://www.sciencedirect.com/science/article/pii/S0308814620317866" }