Rapid Determination of Benzo(a)pyrene Concentration in Soybean Oil by Terahertz Transmission Spectroscopy with Chemometrics

被引:0
作者
Wei Liu
Shengai Sun
Yiming Xia
Pengguang Zhao
Changhong Liu
Lei Zheng
机构
[1] Hefei University of Technology,School of Food and Biological Engineering
[2] Hefei University,School of Advanced Manufacturing Engineering
[3] Anhui Provincial Engineering Technology Research Center of Intelligent Vehicle Control and Integrated Design Technology,Research Laboratory of Agricultural Environment and Food Safety
[4] Anhui Modern Agricultural Industry Technology System,undefined
来源
Journal of Infrared, Millimeter, and Terahertz Waves | 2022年 / 43卷
关键词
Terahertz spectroscopy; Benzo(a)pyrene; Soybean oil; Rapid determination; Chemometrics;
D O I
暂无
中图分类号
学科分类号
摘要
Benzo(a)pyrene (B(a)P), as the best known of the group I carcinogen, is unavoidably generated in production process of soybean oil. The feasibility of rapid determination of B(a)P in soybean oil with terahertz spectroscopy was examined. Sparse representation (SR), as a pre-treatment method, was used to solve the problem of the redundant information of THz signal. Different chemometrics combined with THz signal were compared to find the best determination model. The results showed that SR-LS-SVM was the best method with the accuracy of 96.19% in B(a)P concentration discrimination experiment. And it was feasible to detect the limit concentration of B(a)P over 2 µg/kg in soybean oil (over 90% accuracy). In quantitative detection experiment, the correlation coefficient of prediction (RP) was 0.9623 and the root-mean-square error of prediction (RMSEP) was 1.2836 µg/kg. It could be concluded that THz combined with chemometrics would be an attractive technique for rapid determination of the B(a)P concentration in soybean oil.
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页码:695 / 708
页数:13
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共 168 条
  • [31] Wan X(2005)The least-square method in complex number domain Computational Statistics and Data Analysis 48 159-818
  • [32] Choubey S(2010)PLS path modeling Reliability Engineering and System Safety 95 127-116
  • [33] Karmakar GP(2018)On the use of uncertainty importance measures in reliability and risk analysis IET Signal Processing 12 811-51
  • [34] Chowdhury M(2016)Hybrid classification approach using extreme learning machine and sparse representation classifier with adaptive threshold Food Chemistry 195 110-51
  • [35] Rice TE(2021)Potential of multispectral imaging for real-time determination of colour change and moisture distribution in carrot slices during hot air dehydration Journal of Physics Conference Series 1894 012093-12511
  • [36] Oehlschlaeger MA(2006)Research status and development trend of water cut detection methods for crude oil Applied Physics Letters 89 024102-225
  • [37] Dorney TD(2018)Millimeter wave analysis of the dielectric properties of oil shales Energy 161 46-undefined
  • [38] Baraniuk RG(2015)The mechanism of the terahertz spectroscopy for oil shale detection Talanta 138 46-undefined
  • [39] Mittleman DM(2011)Electrochemical detection of benzo(a)pyrene in acetonitrile-water binary medium Chemical Communications 47 12509-undefined
  • [40] Xie L(2018)A photoelectrochemical immunosensor for benzo[a]pyrene detection amplified by bifunctional gold nanoparticles Talanta 190 219-undefined