Application of Near Infrared Spectra to Discriminating Honey Based on Partial Least Squares

被引：0

作者：

Xia Liya ^{[1
]}

Li Honglian ^{[1
]}

Zhao Zhilei ^{[1
]}

机构：

[1] Hebei Univ, Supervis Inst Qual &Technol, Baoding 071002, Peoples R China

来源：

PLS '09: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PARTIAL LEAST SQUARES AND RELATED METHODS | 2009年

关键词：

Near infrared spectroscopy; Honey; Partial least squares; adulterated honey;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The model of discrimination analysis was established by partial least squares (PLS)-Mahalanobois distance for differentiating raw honey and adulterated honey which was added with starch syrup. The effects of principal component number, pretreatment methods of spectroscopy and spectral region on the accuracy in discrimination of adulterated honey were studied. The results indicated that the cumulate reliabilities of the first seven principal components were 99.97%, and the highest recognition accuracy was offered by the model which was established with standard normalized variate near infrared spectra in 4000 cm(-1)-11493 cm(-1) wavelength range. Twenty unknown samples were predicted by the model, and the discrimination rate is 100%.

引用

页码：307 / 310

页数：4

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