Identification of Camellia Oils by Near Infrared Spectroscopy Combined with Chemometrics

文献类型： 外文期刊

第一作者： Zhu Xiang-Rong

作者： Zhu Xiang-Rong;Li Gao-Yang;Shan Yang;Shang Xue-Bo;Huang Lu-Hong;Shuai Ming

作者机构：

关键词： Camellia oil;Near infrared spectroscopy;Chemometrics;Identify

期刊名称：CHINESE JOURNAL OF ANALYTICAL CHEMISTRY （ 影响因子：1.134； 五年影响因子：0.909 ）

ISSN： 0253-3820

年卷期： 2011 年 39 卷 5 期

页码：

收录情况： SCI

摘要： Near infrared spectroscopy (NIRS) in the transreflection mode combined with chemometrics was used to identify Camellia oil. The samples set contained 163 spectra of qualified (n=97) and unqualified (n=66) have been collected and scanned, the spectral data were pretreated and selected for effective variables. In the wavenumber range 5750 cm(-1) to 6000 cm(-1), the optimal combination of pretreatments (smoothed, first derivative, and autoscaling) was adopted to process spectra. Unsupervised classification-principal component analysis (PCA) was firstly adopted to classify, and then supervised classification-discriminant analysis (DA) was used to build calibration model to predict. Satisfactory results were obtained by PCA and DA, the correct recognition rates of two methods can reach 98. 8%. The results showed that NIRS can be used as a simple, rapid, nondestructive and reliable method to identify Camellia oil.

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