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
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