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	Fusion of near‐infrared and fluorescence spectroscopy for untargeted fraud detection of Chinese tea seed oil using chemometric methods
	Ou Hu; Jing Chen; Pengfei Gao; Gangfeng Li; Shijie Du; Haiyan Fu; Qiong Shi; Lu Xu
刊名	Journal of the Science of Food and Agriculture
	2019
卷号	Vol.99 No.5页码:2285-2291
关键词	adulterations Camellia oleifera Abel. (COA) oil data fusion One‐class partial least squares (OCPLS) untargeted analysis
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4618030
专题	湖南大学
作者单位	1.Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South‐Central University for Nationalities, Wuhan, PR China 2.College of Material and Chemical Engineering, Tongren University, Tongren, PR China 3.Yunnan Provincial Key Laboratory of Entomological Biopharmaceutical R& 4.D, College of Pharmacy and Chemistry, Dali University, Dali, China
推荐引用方式 GB/T 7714	Ou Hu,Jing Chen,Pengfei Gao,et al. Fusion of near‐infrared and fluorescence spectroscopy for untargeted fraud detection of Chinese tea seed oil using chemometric methods[J]. Journal of the Science of Food and Agriculture,2019,Vol.99 No.5:2285-2291.
APA	Ou Hu.,Jing Chen.,Pengfei Gao.,Gangfeng Li.,Shijie Du.,...&Lu Xu.(2019).Fusion of near‐infrared and fluorescence spectroscopy for untargeted fraud detection of Chinese tea seed oil using chemometric methods.Journal of the Science of Food and Agriculture,Vol.99 No.5,2285-2291.
MLA	Ou Hu,et al."Fusion of near‐infrared and fluorescence spectroscopy for untargeted fraud detection of Chinese tea seed oil using chemometric methods".Journal of the Science of Food and Agriculture Vol.99 No.5(2019):2285-2291.

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