文章基本信息

标题：Towards improvement in prediction of iodine value in edible oil system based on chemometric analysis of portable vibrational spectroscopic data
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作者：Hong Yan ; Jixiong Zhang ; Jingxian Gao 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2018
卷号：8
期号：1
页码：14729
DOI：10.1038/s41598-018-33022-9
语种：English
出版社：Springer Nature
摘要：1700 dataset, MCUVE gave the lowest RMSEP (2.3440), in MEMS-FTIR dataset, CARS showed the best performance with RMSEP (2.2185), in i-Raman Plus-785S dataset, BOSS gave the lowest RMSEP (2.5058). They all had great improvements than full spectrum PLS model. Four variable selection methods take a smaller number of variables and perform significant superiority in prediction accuracy. It was demonstrated that three new portable instruments would be suitable for the on-site determination of edible oil quality in infrared and Raman field.