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YIN Xianhua, JIANG Yan, LÜ Binchuan, CHEN Deyong, CHEN Tao. Quantitative analysis of 2-mercaptobenzothiazole based on terahertz time-domain spectroscopy[J]. LASER TECHNOLOGY, 2019, 43(1): 83-87. DOI: 10.7510/jgjs.issn.1001-3806.2019.01.017
Citation: YIN Xianhua, JIANG Yan, LÜ Binchuan, CHEN Deyong, CHEN Tao. Quantitative analysis of 2-mercaptobenzothiazole based on terahertz time-domain spectroscopy[J]. LASER TECHNOLOGY, 2019, 43(1): 83-87. DOI: 10.7510/jgjs.issn.1001-3806.2019.01.017
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Quantitative analysis of 2-mercaptobenzothiazole based on terahertz time-domain spectroscopy

  • 1.

    School of Electrical Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China

  • 2.

    National Rubber and Rubber Products Quality Supervision and Inspection Center(Guangxi), Guilin 541004, China

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  • Received Date: March 04, 2018
  • Revised Date: April 06, 2018
  • Published Date: January 24, 2019
    Graphical Abstract
    • Abstract
  • The serious adulteration of the rubber accelerator 2-mercaptobenzothiazole (MBT) will lead to the failure quality of rubber products. Aiming at this problem, a method which uses terahertz time-domain spectroscopy (THz-TDS) was proposed for quantifying the effective content of MBT. The absorption characteristic spectrum of the mixture of MBT and polyethylene in 0.3THz~1.4THz was obtained by terahertz transmission measurement. A MBT quantitative detection model based on least squares-support vector regression (LS-SVR) was proposed. LS-SVR model was compared with partial least squares model and support vector regression model respectively. The results show that, the root mean square errors of the model prediction sets are 1.1330%, 2.5583% and 2.3869% respectively. The quantitative model of LS-SVR can achieve better results with higher accuracy and better stability. This study provides a new fast and effective method for quantitative detection of MBT.
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    • References (20)
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