期刊
JOURNAL OF FOOD ENGINEERING
卷 142, 期 -, 页码 17-22出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jfoodeng.2014.06.003
关键词
Persimmon; Fourier transform near infrared spectrometry; Least squares-support vector machines; Chemometrics; Geographical origin; Protected designation of origin
The main objective of this work has been the authentication by Fourier transform near infrared (FT-NIR) spectrometry of the origin of persimmon fruits cultivated in different regions of Spain. In order to achieve this goal, 166 persimmon samples from 7 different regions of Spain were analyzed by FT-NIR spectrometry. By splitting the spectral data in training and independent test sets, a classification model was built using least squares support vector machines chemometric technique. Orthogonal signal correction and principal component analysis were performed prior to conduct the classification strategy. The verified model was applied for the prediction of the origin of 50 samples from the independent test set being the prediction error 2%. (C) 2014 Elsevier Ltd. All rights reserved.
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