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

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. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2014 , 131 , 40694.