Quantitative Analysis of Trans Fatty Acids in Cooked Soybean Oil Using Terahertz Spectrum

被引：16
|
作者：
Lian, F. Y. [1 ,2 ]
Ge, H. Y. [1 ,2 ]
Ju, X. J. [3 ]
Zhang, Y. [1 ,2 ]
Fu, M. X. [1 ,2 ]
机构：
[1] Henan Univ Technol, Key Lab, Minist Educ, Grain Informat Proc & Control, Zhengzhou, Henan, Peoples R China
[2] Henan Univ Technol, Key Lab Henan Prov, Grain Photoelect Detect & Control, Zhengzhou, Henan, Peoples R China
[3] Collaborat Innovat Ctr Henan Grain Crops, Zhengzhou, Henan, Peoples R China
来源：
JOURNAL OF APPLIED SPECTROSCOPY | 2019年 / 86卷 / 05期
关键词：
terahertz spectrum; trans fatty acids; quantitative analysis; partial least squares; subinterval partial least squares; EDIBLE OILS; CHROMATOGRAPHY; SPECTROSCOPY; IDENTIFICATION; PRINCIPLE;
D O I：
10.1007/s10812-019-00916-z
中图分类号：
O433 [光谱学];
学科分类号：
0703 ; 070302 ;
摘要：
A method for the quantitative analysis of trans fatty acids (TFAs) in cooked soybean oil using terahertz (THz) spectrum is developed. The THz spectra of three groups of soybean oil samples that were cooked at different temperatures for various times were measured using a terahertz time-domain spectrum system (THz-TDS) with frequency range of 0.2-1.5 THz. A partial least squares (PLS) regression model based on the whole THz spectrum was constructed to predict the TFAs content in the cooked soybean oil samples. To reduce noise and improve the prediction accuracy of the model, a subinterval PLS (sub-PLS) model based on a part of the THz spectrum was constructed. This sub-PLS had high accuracy in predicting the TFAs content in cooked soybean oil samples (R = 0.987 and RMSECV = 0.956).
引用
收藏
页码：917 / 924
页数：8
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