Determination of the Si-H Content of Hydrogen Silicone Oil by a Combination of the Fourier Transform Near Infrared, Attenuated Total Reflectance-Fourier Transform Infrared, and Partial Least Squares Regression Models

作者：Zhai Qianqian; Zhao Shigui^*; Zhou Chuanjian; Li Wenjie; Peng Cun

来源：Journal of Applied Polymer Science, 2014, 131(17): 40694.

DOI：10.1002/APP.40694

• oil and gas
• spectroscopy
• theory and modeling

To verify the feasibility of the determination of the Si-H content (HC) of hydrogen silicone oil (HS-oil) with Fourier transform near infrared (FT-NIR) spectroscopy and attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy combined with the partial least squares regression (PLS-R) model, HS-oil samples were synthesized from concentrated hydrosilicone oil (HC = 1.4 wt %), octamethylcyclotetrasiloxane, and hexamethyldisiloxane or prepared by the dilution of concentrated hydrosilicone oil with octamethylcyclotetrasiloxane. The FT-NIR PLS-R model (8695-4000 cm(-1), two principal components) was developed from the FT-NIR spectral data, and the coefficient of determination for cross-validation (R-2) and the coefficient of determination for external validation (r(2)) were 0.992 and 0.995, respectively. The ATR-FTIR PLS-R model (2302-2040 cm(-1), one principal component) was developed from the ATR-FTIR spectral data; it produced an R-2 of 0.995 and an r(2) of 0.996. This study demonstrated that the combination of FT-NIR and ATR-FTIR spectroscopy with the PLS-R model were successfully used to determine the HC of the HS-oil.

• 出版日期2014-9-5
• 单位山东大学