10.1021/ie5012195.s001
Qianqian Zhai
Qianqian
Zhai
Chuanjian Zhou
Chuanjian
Zhou
Shigui Zhao
Shigui
Zhao
Cun Peng
Cun
Peng
Yingchao Han
Yingchao
Han
Kinetic
Study of Alkoxysilane Hydrolysis under Acidic
Conditions by Fourier Transform Near Infrared Spectroscopy Combined
with Partial Least-Squares Model
American Chemical Society
2014
data processing ability
hydrolysis kinetics
activation energies
hydrolysis rate constants
Kinetic Study
Fourier Transform
method
Acidic Conditions
scanning speed
EtOH concentrations
H 2O
hydrolysis processes
PLS
Arrhenius frequency factors
model
Infrared Spectroscopy
Alkoxysilane Hydrolysis
midinfrared spectroscopy
hydrolysis reactions
2014-09-03 00:00:00
Journal contribution
https://acs.figshare.com/articles/journal_contribution/Kinetic_Study_of_Alkoxysilane_Hydrolysis_under_Acidic_Conditions_by_Fourier_Transform_Near_Infrared_Spectroscopy_Combined_with_Partial_Least_Squares_Model/2258731
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 H<sub>2</sub>O 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.