中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods

文献类型：期刊论文

作者Su, Ning1,2; Pan, Fangfang3; Wang, Liusan1,2; Weng, Shizhuang3
刊名BIOSENSORS-BASEL
出版日期2021-08-01
卷号11
关键词Vis-NIR reflectance spectroscopy multivariate analysis fatty acid edible oil quality detection
DOI10.3390/bios11080261
通讯作者Wang, Liusan(lswang@iim.ac.cn) ; Weng, Shizhuang(weng_1989@126.com)
英文摘要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.
WOS关键词FT-IR SPECTROSCOPY ; STORAGE PERIODS ; IDENTIFICATION ; QUALITY ; ALGORITHM ; SESAME ; FRESH
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]
WOS研究方向Chemistry ; Science & Technology - Other Topics ; Instruments & Instrumentation
语种英语
出版者MDPI
WOS记录号WOS:000688898000001
资助机构Major scientific and technological innovation project of Shandong Province, China ; National Key Research and Development Program of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/125175]  
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).

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。