Zernike矩在橡胶添加剂太赫兹光谱定量分析中的应用研究  

Application of Zernike Moment in Terahertz Spectrum Quantitative Analysis of Rubber Additives

作　　者：殷贤华[1,2] 郭超 李安 莫玮 YIN Xian-hua;GUO Chao;LI An;MO Wei(School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China;Guangxi Key Laboratory of Automatic Detection Technology and Instrument, Guilin 541004, China;National Rubber and Rubber Products Quality Supervision and Inspection Center (Guangxi), Guilin 541004, China)

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004 [2]广西自动检测技术与仪器重点实验室,广西桂林541004 [3]国家橡胶及橡胶制品质量监督检验中心(广西),广西桂林541004

出　　处：《光谱学与光谱分析》2019年第9期2725-2731,共7页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(61841502,11574059);广西自然科学基金项目(2018GXNSFAA281314)资助

摘　　要：近年来,“绿色轮胎”发展备受关注。在绿色轮胎制造过程中需要多种橡胶添加剂,而橡胶添加剂的含量与绿色轮胎能否达标密切相关,因此,对轮胎橡胶中相关橡胶添加剂的定量检测具有重要意义。太赫兹时域光谱(THz-TDS)技术已经成功应用于物质定量分析领域,但当定量分析对象为多组分混合物时,由于混合物光谱出现重叠和失真等原因,会导致定量分析结果不理想。针对此问题,将Zernike矩作为一种光谱预处理技术引入到橡胶添加剂多组分混合物的太赫兹光谱定量分析中,提出了基于Zernike矩结合支持向量回归(Zernike moment-support vector regression, ZM-SVR)的太赫兹光谱定量分析方法。首先,以影响绿色轮胎质量能否达标的三种橡胶添加剂氧化锌、白炭黑和2-巯基苯并噻唑(MBT)为定量检测对象,将3种橡胶添加剂与丁腈橡胶构成多组分混合物实验样本,并通过太赫兹时域光谱系统测得样本的太赫兹光谱;然后,对太赫兹光谱进行分析与处理,得到其吸收系数、消光系数和折射率3种光学参数后,将3种光学参数构建为样本的太赫兹三维光谱,并利用Zernike矩提取太赫兹三维光谱灰度图的特征信息;最后,利用支持向量回归建立样本太赫兹三维光谱灰度图特征信息和目标成分含量之间的定量模型,从而对混合物样本中目标成分含量进行分析。利用该方法得到的定量模型预测集相关系数均大于等于0.952 2,均方根误差均小于等于2.267 2%。为进一步验证该方法的有效性,将定量分析结果与常规方法PLS和SVR的结果进行了对比。对比发现,相比常规方法得到的定量分析结果, Zernike矩结合支持向量回归方法所得结果的准确性和稳定性均得到了明显提升。因此, Zernike矩结合支持向量回归方法为橡胶添加剂多组分混合物的太赫兹光谱定量检测提供了新思路,在绿色轮胎及橡胶的质量检测领域具�In recent years, the development of “green tire” has attracted much attention . Many kinds of rubber additives are needed in the manufacturing process of gre en tires, and the content of rubber additives is closely related to whether gre en tires can meet the standards. Therefore, it is important to quantitatively detect the rubber additives in tire rubber. THz-TDS technology has been succes sfully applied in the field of quantitative analysis of substances. However, w hen the quantitative analysis object is a multi-component mixture, the res ults of quantitative analysis will not be satisfactory due to the overlap and distor tion of the mixture spectrum. In order to solve this problem, Zernike moment is introduced as a spectral pretreatment technology into terahertz spectral quant itative analysis of multi-component mixtures of rubber additives. A quantitati ve analysis method of terahertz spectrum based on Zernike moment and support vec tor regression (ZM-SVR) is proposed. Firstly, three rubber additives, zinc oxide, silica and 2-Mercaptobenzothiazole (MBT), which affect the quality of g reen tires, were used as quantitative detection objects. Three rubber additive s and nitrile-butadiene rubber were prepared as multi-mixture experimental sam ples, and the terahertz spectra of samples were measured by terahertz time-dom ain spectroscopy system. Then, terahertz spectroscopy was analyzed and process ed. After obtaining the three optical parameters of absorption coefficient, ex tinction coefficient and refractive index, the three optical parameters were constructed into the THz three-dimensional spectrum of the sample, and the charac teristic information of the THz three-dimensional spectral gray-scale image wa s extracted by Zernike moment. Finally, the quantitative model between the char acteristic information of the THz three-dimensional spectral gray-scale image of the sample and the content of the target component was established by using s u pport vector regression. The target component content in the mi

关 键 词：太赫兹时域光谱 定量分析 ZERNIKE矩 橡胶添加剂 多组分混合物 

分 类 号：O433.4[机械工程—光学工程]