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Detail publikace
Zora Jandric, Anastassiya Tchaikovsky, Andreas Zitek, Tim Causon, Vaclav Stursa, Thomas Prohaska, Stephan Hann
Originální název
Multivariate modelling techniques applied to metabolomic, elemental and isotopic fingerprints for the verification of regional geographical origin of Austrian carrots
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Carrots;Fingerprinting;Metabolomics;Multi-element;Origin;Strontium isotopes;Chemometric classification
Autoři
Vydáno
27. 8. 2020
ISSN
0308-8146
Periodikum
FOOD CHEMISTRY
Číslo
338
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1
Strany do
10
Strany počet
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" }