Geographical Classification of Italian Saffron ( Crocus sativus L.) by Multi-Block Treatments of UV-Vis and IR Spectroscopic Data

One-hundred and fourteen samples of saffron harvested in four different Italian areas (three in Central Italy and one in the South) were investigated by IR and UV-Vis spectroscopies. Two different multi-block strategies, Sequential and Orthogonalized Partial Least Squares Linear Discriminant Analysi...

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Bibliographic Details
Published in:Molecules (Basel, Switzerland) Switzerland), 2020-05, Vol.25 (10), p.2332
Main Authors: Biancolillo, Alessandra, Foschi, Martina, D'Archivio, Angelo Antonio
Format: Article
Language:English
Subjects:
Chromatography
Classification
Covariance
Crocus - chemistry
Crocus - classification
data fusion
Discriminant Analysis
Flavonoids
Flowers - chemistry
Geography
Humans
infrared
Infrared spectroscopy
Italy
Least-Squares Analysis
multi-block
Plant Extracts - analysis
Quality standards
Saffron
Spectrum analysis
Spectrum Analysis - methods
Stigma
ultraviolet
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Summary:One-hundred and fourteen samples of saffron harvested in four different Italian areas (three in Central Italy and one in the South) were investigated by IR and UV-Vis spectroscopies. Two different multi-block strategies, Sequential and Orthogonalized Partial Least Squares Linear Discriminant Analysis (SO-PLS-LDA) and Sequential and Orthogonalized Covariance Selection Linear Discriminant Analysis (SO-CovSel-LDA), were used to simultaneously handle the two data blocks and classify samples according to their geographical origin. Both multi-block approaches provided very satisfying results. Each model was investigated in order to understand which spectral variables contribute the most to the discrimination of samples, i.e., to the characterization of saffron harvested in the four different areas. The most accurate solution was provided by SO-PLS-LDA, which only misclassified three test samples over 31 (in external validation).
ISSN:1420-3049
1420-3049
DOI:10.3390/molecules25102332