基于太赫兹光谱数据融合实现多组分橡胶添加剂的定量检测  

Quantitative Detection of Multi⁃Component Rubber Additives Based on Terahertz Spectral Data Fusion

作　　者：殷贤华[1,2] 陈慧聪 张活 Yin Xianhua;Chen Huicong;Zhang Huo(School of Electronic Engineering and Automation,Guilin University of Electronic Science and Technology,Guilin 541004,Guangxi,China;Guangxi Key Laboratory of Automatic Detection Technology and Instrument,Guilin 541004,Guangxi,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

出　　处：《中国激光》2024年第5期260-268,共9页Chinese Journal of Lasers

基　　金：国家自然科学基金(62161005,62261012);广西自动检测技术与仪器重点实验室基金项目(YQ22107)。

摘　　要：橡胶添加剂含量是判断橡胶质量好坏的一个重要标志。现有的检测方法不能满足橡胶中添加剂快速、准确、无损的检测需求,而且当检测对象为多组分混合物时,混合物的吸收光谱会出现重叠和失真现象,从而导致预测结果不准确。针对此问题,本文提出了一种基于太赫兹时域光谱结合化学计量学方法、数据融合的定量分析方法。以丁腈橡胶、白炭黑、氧化锌、防老剂H和防老剂MB制成五组分混合物并将其作为实验样品,利用太赫兹时域光谱系统获取并计算了五组分混合物在0.3~1.6 THz范围内的吸收光谱,然后通过求一阶导数的方式获得样品的导数光谱数据。低层数据融合直接将吸收光谱数据与导数光谱融合;中层数据融合将蒙特卡罗无信息变量消除法和连续投影算法进行特征提取后的变量进行融合;高层数据融合使用多元线性回归法进行融合。基于蒙特卡罗无信息变量消除法的中层数据融合的预测精度高于单一光谱的预测精度,而且预测性能最好。研究结果表明,太赫兹光谱结合支持向量回归、数据融合的方法可以实现多组分混合物中防老剂MB的快速、准确、无损检测,对于促进橡胶工业的快速发展具有十分重要的意义。Objective The content of rubber additives is an important determinant of rubber quality.Current testing methods for these additives include combustion testing,chemical analysis,chromatography,and infrared spectroscopy.However,these detection techniques present challenges such as intricate pre-processing,time-intensive operations,laborious procedures,and potential inaccuracies in reflecting the genuine additive content.These types of limitations hinder their ability to cater to the growing demand for swift,precise,and non-destructive detection in rubber.This is a significant challenge for the advancement of the rubber industry in China.Furthermore,when analyzing multi-component mixtures,the absorption spectra can overlap and become distorted,leading to unreliable results.In this study,we leverage terahertz time-domain spectroscopy,data fusion,and chemometrics to quantitatively assess additives in five-component mixtures.This offers an innovative approach for detecting and analyzing the content of target components in multi-component mixtures of rubber and its auxiliaries.Methods In this study,a five-component mixture composed of NBR,silica,zinc oxide,antioxidant H,and antioxidant MB was used as an experimental sample.The terahertz time-domain spectroscopy system was utilized to capture and compute the absorption spectra of the five-component mixture within the range of 0.3-1.6 THz and to analyze its spectral characteristics.The derivative spectral data of the sample were derived by taking the first-order derivatives.Initially,the KS algorithm was employed to segment the sample set data,which was then quantitatively analyzed using partial least squares regression and support vector machine regression models.Subsequently,three data fusion methods were employed to process the data.Specifically,the low-level data fusion directly combined the absorption spectrum data with the derivative spectrum;the mid-level data fusion merged variables after feature extraction via the Monte Carlo uninformative variable elimination an

关 键 词：光谱学 橡胶及添加剂 多组分混合物 太赫兹光谱 定量检测 数据融合 

分 类 号：O436[机械工程—光学工程]