Kinetic Study of Alkoxysilane Hydrolysis under Acidic Conditions by Fourier Transform Near Infrared Spectroscopy Combined with Partial Least-Squares Model

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• 作者：Qianqian Zhai ; Chuanjian Zhou ; Shigui Zhao ; Cun Peng ; Yingchao Han
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2014
• 出版时间：September 3, 2014
• 年：2014
• 卷：53
• 期：35
• 页码：13598-13609
• 全文大小：897K
• ISSN：1520-5045

文摘

Fourier transform near-infrared (FT-NIR) spectroscopy combined with a partial least-squares (PLS) model was successfully employed to study the hydrolysis kinetics of dimethyldiethoxysilane, methyltriethoxysilane, and tetraethoxysilane in an acid-catalyzed EtOH system. The high scanning speed and high sensitivity of FT-NIR spectroscopy enabled the new method to catch the rapid changes of the H₂O and EtOH concentrations without delay, allowing the kinetic behaviors of the hydrolysis reactions of the specified alkoxysilanes to be investigated. The hydrolysis processes were found to follow second-order reactions. The hydrolysis rate constants, activation energies, and Arrhenius frequency factors were obtained. The FT-NIR PLS results were in good agreement with those determined by Fourier transform midinfrared spectroscopy. However, the FT-NIR PLS method was found to be more accurate, because of the powerful data processing ability of PLS. All of the results suggest that the FT-NIR PLS model is a valuable tool for performing kinetic research.