A Quantitative Analysis Method for GCB as Rubber Additive by Terahertz Spectroscopy
YIN Xian-hua1, 2, WANG Qiang1, 2, MO Wei1, CHEN Tao1, 2*, SONG Ai-guo3
1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China
2. Guangxi Key Laboratory of Automatic Detection Technology and Instruments, Guilin 541004, China
3. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
Abstract：Gas carbon black (GCB) is one of the important additives in rubber. Its content has an important influence on the performance of rubber. Nitrile butadiene rubber (NBR) is a synthetic rubber used widely in industrial production. It is important to study the content of GCB in NBR. In this paper, the content of GCB in eight kinds of samples consisted of GCB and NBR with different proportion is detected via terahertz time-domain spectroscopy (THz-TDS). Absorption spectra data of these samples is obtained in the frequency ranging from 0.3 to 1.4 THz. Two quantitative analysis models of GCB are established respectively using partial least squares (PLS) method and support vector regression (SVR) method. The uniform gradient method is used to select the calibration set and the prediction set of two models. The correlation coefficient (r) and the root mean square error (RMSE) of two models were calculated. The r and RMSE for the prediction set of PLS model were 0.985 8 and 2.098 9%. The r and RMSE for the prediction set of SVR model were 0.998 0 and 0.785 4%. Experimental results showed that the predictive result of SVR model was better than that of PLS model. In order to prove the stability of the SVR model, we used the random selection method several times to select its calibration set and prediction set, and got their r and RMSE. The results showed that all the r and RMSE of SVR model are better than that of PLS model, whether the uniform gradient method or the random selection method is used to select the calibration set and the prediction set of the SVR model.
殷贤华，王 强，莫 玮，陈 涛，宋爱国. 橡胶添加剂瓦斯炭黑的太赫兹光谱定量研究[J]. 光谱学与光谱分析, 2018, 38(11): 3385-3389.
YIN Xian-hua, WANG Qiang, MO Wei, CHEN Tao, SONG Ai-guo. A Quantitative Analysis Method for GCB as Rubber Additive by Terahertz Spectroscopy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(11): 3385-3389.
[1] Rolere S, Liengprayoon S, Vaysse L, et al. Polymer Testing, 2015, 43: 83.
[2] Witkowski B, Szabowska A, Malesa M, et al. Analytical Methods, 2015, 7(24): 10376.
[3] Brun N, Bourson P, Margueron S. Vibrational Spectroscopy, 2013, 67: 55.
[4] QIAO Yu-long，ZHAO Yuan-meng，ZHANG Cun-lin, et al(乔玉龙，赵源萌，张存林，等). Acta Optica Sinica(光学学报), 2015, 35(2): 0211005.
[5] Zhang H, Li Z, Hu F R, et al. Opt. Quant. Electron., 2017, 49: 258.
[6] Qin B Y, Li Z, Chen T, et al. Optik, 2017, 142: 576.
[7] Hirakawa Y, Ohno Y, Gondoh T, et al. Journal of Infrared Millimeter and Terahertz Waves, 2011, 32: 1457.
[8] Komatsu M, Izutsu T, Ohki Y, et al. Conference Proceedings of ISEIM 2014, 2014: 338.
[9] TU Shan, ZHANG Wen-tao, XIONG Xian-ming, et al(涂 闪，张文涛，熊显名，等). Acta Photonica Sinica(光子学报), 2015, 44(4): 0430001.
[10] Chen Z, Zhang Z, Zhu R, et al. Journal of Quantitative Spectroscopy and Radiative Transfer, 2015, 167: 1.
[11] WANG Xia, WANG Zhan-qi, JIN Gui, et al(王 霞，王占岐，金 贵，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2014, 30(4): 204.
