Influence of experimental parameters on the side reactions of hydrosilylation of allyl polyethers studied by a fractional factorial design
文献信息
C. Chatard, A. Graillot, G. Boutevin, C. Loubat, D. Grosso
Even though the hydrosilylation reaction has been the method of choice to produce organosilicon compounds for 70 years, improving its selectivity still remains a current challenge. In this work, a comprehensive study of the influence of experimental parameters on hydrosilylation side reactions was undertaken by applying a fractional factorial design of experiments. The study was conducted for polyethylene glycol (PEG, 1000 g mol−1) terminated allyl ether, which is commonly employed as a reactive functional group toward hydrosilylation. In addition, the resulting silane-functionalized PEG happens to be a molecule of interest in various domains such as the biomedical, cosmetic or food industry thanks to its properties in accordance with these sectors' requirements. This methodology enables highlighting an optimized combination of experimental parameters as well as a cause–effect relationship between the different side reactions, leading to a better control of the hydrosilylation reaction.
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Reaction Chemistry & Engineering

Reaction Chemistry & Engineering is an interdisciplinary journal reporting cutting-edge research focused on enhancing the understanding and efficiency of reactions. Reaction engineering leverages the interface where fundamental molecular chemistry meets chemical engineering and technology. Challenges in chemistry can be overcome by the application of new technologies, while engineers may find improved solutions for process development from the latest developments in reaction chemistry. Reaction Chemistry & Engineering is a unique forum for researchers whose interests span the broad areas of chemical engineering and chemical sciences to come together in solving problems of importance to wider society. All papers should be written to be approachable by readers across the engineering and chemical sciences. Papers that consider multiple scales, from the laboratory up to and including plant scale, are particularly encouraged.












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