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2-巯基苯并噻唑的太赫兹时域光谱定量研究
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  • 英文篇名:Quantitative analysis of 2-mercaptobenzothiazole based on terahertz time-domain spectroscopy
  • 作者:殷贤华 ; 姜燕 ; 吕斌川 ; 陈德勇 ; 陈涛
  • 英文作者:YIN Xianhua;JIANG Yan;Lü Binchuan;CHEN Deyong;CHEN Tao;School of Electrical Engineering and Automation,Guilin University of Electronic Technology;National Rubber and Rubber Products Quality Supervision and Inspection Center(Guangxi);
  • 关键词:光谱学 ; 定量分析 ; 太赫兹时域光谱 ; 2-巯基苯并噻唑 ; 最小二乘支持向量回归
  • 英文关键词:spectroscopy;;quantitative analysis;;terahertz time-domain spectroscopy;;2-mercaptobenzothiazole;;least squares-support vector regression
  • 中文刊名:JGJS
  • 英文刊名:Laser Technology
  • 机构:桂林电子科技大学电子工程与自动化学院;国家橡胶及橡胶制品质量监督检验中心(广西);
  • 出版日期:2018-05-02 11:11
  • 出版单位:激光技术
  • 年:2019
  • 期:v.43;No.239
  • 基金:国家自然科学基金资助项目(11574059);; 广西自然科学基金资助项目(2015GXNSFBA139252);; 桂林电子科技大学研究生教育创新计划资助项目(2016YJCX27);桂林电子科技大学广西自动检测技术与仪器重点实验室基金资助项目(YQ14113);桂林电子科技大学研究生科研创新基金资助项目(YJCXS201560)
  • 语种:中文;
  • 页:JGJS201901017
  • 页数:5
  • CN:01
  • ISSN:51-1125/TN
  • 分类号:87-91
摘要
为了减少由于橡胶促进剂2-巯基苯并噻唑(MBT)掺假而导致橡胶制品质量不过关的问题,提出利用太赫兹时域光谱技术对MBT的有效含量进行定量研究。利用太赫兹透射测量得到MBT和聚乙烯混合物在0.3THz~1.4THz的吸收特征谱,提出了一种基于最小二乘支持向量回归(LS-SVR)的MBT定量检测模型,将LS-SVR模型分别与偏最小二乘模型和支持向量机回归模型进行比较,得到模型预测集均方根误差分别为1.1330%,2.5583%和2.3869%。结果表明,LS-SVR的定量模型可取得更好的效果,其精度更高,稳定性更好。本研究为MBT定量检测提供了新的快速且有效的方法。
        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.
引文
[1]LI Sh J,SUN Q,FAN Sh Y.Instrumental analysis technology of rubber additives[J].Rubber Science and Technology,2013(11):44-46(in Chinese).
    [2]LI H B.Application of pyrolysis gas chromatography in rubber fertilizer quality management[J].China Rubber/Plastics Technology and E-quipment,2016,42(6):60-61(in Chinese).
    [3]LI Y,SUN X Y,LI Ch F,et al.Determination of 2-mercaptoimidazoline in rubber products containing chlorine by gas chromatography[J].Chinese Journal of Analysis Laboratory,2011,30(10):27-30(in Chinese).
    [4]YIN M.Research on the authentication and adulteration detection of the edible oil by broadband terahertz spectroscopy and chemometrics[D].Xuzhou:China University of Mining and Technology,2017:5-6(in Chinese).
    [5]ZHAO B Q,WEI X L,YANG Zh G,et al.Terahertz nondestructive inspection of heat shield[J].Laser Technology,2015,39(2):185-189(in Chinese).
    [6]ZHOU Y,WANG T Y,LI W J,et al.Design of visualization systems for terahertz non destructive testing[J].Laser Technology,2017,41(3):351-355(in Chinese).
    [7]QIN B Y,LI Zh,LUO Zh H,et al.Terahertz time-domain spectroscopy combined with PCA-CFSFDP applied for pesticide detection[J].Optical and Quantum Electronics,2017,49(7):244-256.
    [8]ZHAO G Zh,SHEN Y Ch,LIU Y.Application of terahertz technology in military and security field[J].Journal of Electronic Measurement and Instrumentation,2015,29(8):1097-1101(in Chinese).
    [9]ZHANG W T,WANG S Y,ZHAN P P,et al.Method of identifying red wood based on terahertz time-domain spectroscopy[J].Acta Optica Sinica,2017,37(2):0230006(in Chinese).
    [10]HUA Y F,ZHANG H J,ZHOU H L.Quantitative determination of cyfluthrin in n-hexane by terahertz time-domain spectroscopy with chemometrics methods[J].IEEE Transactions on Instrumentation and Measurement,2010,59(5):1414-1423.
    [11]CHEN T,LI Zh,MO W,et al.Simultaneous quantitative determination of multicomponents in tablets based on terahertz time-domain spectroscopy[J].Spectroscopy and Spectral Analysis,2013,33(5):1220-1225(in Chinese).
    [12]HIRAKWA Y,OHNO Y,GONDOH T,et al.Nondestructive evaluation of rubber compounds by terahertz time-domain spectroscopy[J].Journal of Infrared,Millimeter and Terahertz Waves,2011,32(12):1457-1463.
    [13]IZUTSU T,KOMATSU M,OHKI Y,et al.Estimation of talc contents in ethylene-propylene-diene copolymer by terahertz absorption spectroscopy[J].IEEJ Transactions on Fundamentals and Materials,2016,136(2):81-85.
    [14]XU F.Research on terahertz spectrum used to detect different rubber materials[J].Modern Electronics Technique,2016,39(8):135-137(in Chinese).
    [15]YANG L,GAO M T.Experimental study about measurement of optical parameters of biological tissue based on least square support vector machine[J].Laser Technology,2015,39(3):300-303(in Chinese).
    [16]LI Y J,TANG X J,LIU J H.Application of least square support vector machine based on particle swarm optimization in quantitative analysis of gas mixture[J].Spectroscopy and Spectral Analysis,2010,30(3):774-778(in Chinese).
    [17]ZHANG Y Q,DONG W,ZHANG B,et al.Research on detection method of adulterated olive oil by raman spectroscopy and least squares support vector machine[J].Spectroscopy and Spectral Analysis,2012,32(6):1554-1558(in Chinese).
    [18]CHEN T.Qualitative and quantitative detection of materials based on terahertz time-domain spectroscopy[D].Xi’an:Xidian University,2013:24-27(in Chinese).
    [19]HUA Y F.Qualitative and quantitative detection of pesticides by terahertz time-domain spectroscopy[D].Hangzhou:Zhejiang University,2010:69-75(in Chinese).
    [20]LI B,LONG Y,LIU H Sh,et al.The determination of glucose based on terahertz spectroscopy[J].Spectroscopy and Spectral Analysis,2017,37(7):2165-2170(in Chinese).

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