期刊
ANALYTICA CHIMICA ACTA
卷 515, 期 1, 页码 117-125出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2004.01.013
关键词
honey; floral origin; chemometrics; linear discriminant analysis; class-modeling; UNEQ
In this work a supervised chemornetric approach to the discrimination of Italian honey samples from different floral origin is presented. The analytical data of 73 Italian honey samples from six varieties (chestnut, eucalyptus, heather, sulla, honeydew, and wildflower) have been processed by Linear Discriminant Analysis (LDA), using two different variable selection procedures (Fisher F-based and stepwise LDA). Three and two variables, respectively have been necessary to obtain a 100% predictive ability as evaluated by cross-validation. Successively, a class modeling approach has been followed, using UNEQ. The resulting models showed 100% sensitivity and specificity. (C) 2004 Elsevier B.V. All rights reserved.
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