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Identification of Camellia Oils by Near Infrared Spectroscopy Combined with Chemometrics

文献类型: 外文期刊

作者: Zhang Ju-Hua 1 ; Zhu Xiang-Rong 1 ; Li Gao-Yang 1 ; Shan Yang 1 ; Shang Xue-Bo 1 ; Huang Lu-Hong 1 ; Shuai Ming 1 ;

作者机构: 1.Hunan Acad Agr Sci, Hunan Food Test & Anal Ctr, Changsha 410125, Hunan, Peoples R China

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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