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Determination of the geographical origin of green coffee beans using NIR spectroscopy and multivariate data analysis

Author:
Giraudo, A., Grassi, S., Savorani, F., Gavoci, G., Casiraghi, E., Geobaldo, F.
Source:
Food control 2019 v.99 pp. 137-145
ISSN:
0956-7135
Subject:
coffee beans, models, multivariate analysis, near-infrared spectroscopy, prediction, provenance
Abstract:
In this work, near infrared (NIR) spectroscopy and multivariate data analysis were investigated as a fast and non-disruptive method to classify green coffee beans on continents and countries bases. FT-NIR spectra of 191 coffee samples, origin from 2 continents and 9 countries, were acquired by two different laboratories.Laboratory-independent Partial Least Square-Discriminant Analysis and interval PLS-DA models were developed by following a hierarchical approach, i.e. considering at first the continent and then the country of origin as discrimination rule.The best continent-based classification model was able to identify correctly more than 98% in prediction, whereas 100% of them were correctly predicted by the best country-based classification model. The inter-laboratory reliability of the proposed method was confirmed by McNemar test, since no significant differences (P > 0.05) were found. Furthermore, a validation was performed predicting the spectral test set of a laboratory using the model developed by the other one.
Agid:
6285917