Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods

doi:10.3390/bios11080261

HFCAS OpenIR

	Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods
	Su, Ning 1,2; Pan, Fangfang 3; Wang, Liusan 1,2; Weng, Shizhuang 3
	2021-08-01
发表期刊	BIOSENSORS-BASEL
通讯作者	Wang, Liusan(lswang@iim.ac.cn) ; Weng, Shizhuang(weng_1989@126.com)
摘要	The composition and content of fatty acids are critical indicators to identify the quality of edible oils. This study was undertaken to establish a rapid determination method for quality detection of edible oils based on quantitative analysis of palmitic acid, stearic acid, arachidic acid, and behenic acid. Seven kinds of oils were measured to obtain Vis-NIR spectra. Multivariate methods combined with pretreatment methods were adopted to establish quantitative analysis models for the four fatty acids. The model of support vector machine (SVM) with standard normal variate (SNV) pretreatment showed the best predictive performance for the four fatty acids. For the palmitic acid, the determination coefficient of prediction (R-p(2)) was 0.9504 and the root mean square error of prediction (RMSEp) was 0.8181. For the stearic acid, R-p(2) and RMSEp were 0.9636 and 0.2965. In the prediction of arachidic acid, R-p(2) and RMSEp were 0.9576 and 0.0577. In the prediction of behenic acid, the R-p(2) and RMSEp were 0.9521 and 0.1486. Furthermore, the effective wavelengths selected by successive projections algorithm (SPA) were useful for establishing simplified prediction models. The results demonstrate that Vis-NIR spectroscopy combined with multivariate methods can provide a rapid and accurate approach for fatty acids detection of edible oils.
关键词	Vis-NIR reflectance spectroscopy multivariate analysis fatty acid edible oil quality detection
DOI	10.3390/bios11080261
关键词[WOS]	FT-IR SPECTROSCOPY ; STORAGE PERIODS ; IDENTIFICATION ; QUALITY ; ALGORITHM ; SESAME ; FRESH
收录类别	SCI
语种	英语
资助项目	Major scientific and technological innovation project of Shandong Province, China[2019JZZY010730] ; National Key Research and Development Program of China[2018YFD0101004] ; National Key Research and Development Program of China[2016YFD0700601-1]
项目资助者	Major scientific and technological innovation project of Shandong Province, China ; National Key Research and Development Program of China
WOS研究方向	Chemistry ; Science & Technology - Other Topics ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Nanoscience & Nanotechnology ; Instruments & Instrumentation
WOS记录号	WOS:000688898000001
出版者	MDPI
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/125176
专题	中国科学院合肥物质科学研究院
通讯作者	Wang, Liusan; Weng, Shizhuang
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 2.Intelligent Agr Engn Lab Anhui Prov, Hefei 230031, Peoples R China 3.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, Hefei 230601, Peoples R China
推荐引用方式 GB/T 7714	Su, Ning,Pan, Fangfang,Wang, Liusan,et al. Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods[J]. BIOSENSORS-BASEL,2021,11.
APA	Su, Ning,Pan, Fangfang,Wang, Liusan,&Weng, Shizhuang.(2021).Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods.BIOSENSORS-BASEL,11.
MLA	Su, Ning,et al."Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods".BIOSENSORS-BASEL 11(2021).