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• W3080643457 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." @default.
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• W3080643457 date "2021-02-01" @default.
• W3080643457 modified "2023-10-16" @default.
• W3080643457 title "Multivariate modelling techniques applied to metabolomic, elemental and isotopic fingerprints for the verification of regional geographical origin of Austrian carrots" @default.
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• W3080643457 doi "https://doi.org/10.1016/j.foodchem.2020.127924" @default.
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