Effects of Mixing and Particle Size on the Kinetics and Dynamics of Enzymatically Treated Cotton Cellulose (MCC) in Continuous Flow Reactor.

Abstract

Enzymatic hydrolysis (EH) of cellulosic biomass needs tremendous technological advancement so as to efficiently convert cellulosic biomass into renewable fuels and commodity chemicals. Therefore, development of highly improved process engineering techniques is inevitable to reduce the processing cost of the fluids in the reactor. In this investigation, effect of mixing and particle size on the EH of microcrystalline cotton cellulose (MCC) has been investigated by using a spatially averaged low-dimensional two-mode mixing (TMM) model. The model simulations were carried out for the average particle sizes of MCC ranging from 0.78 to 25.52μm and mixing speed of η → 0 (very high) to η → 1000 (very low). The effects of mixing and particle size on the formation of glucose and reducing sugar (RS) have been quantified by exploiting the rigorous multistep reaction kinetics and TMM model. To access the bond-breaking ability, its effects on the degree of polymerization (DP) was also analyzed. The results deduced that increase in mixing limitations and reduction in particle size imparts a significant increase in glucose and RS yield while decreasing the DP drastically. Thus, our simulations reveal that while η → 1000 economizes the process by reducing the energy requirements, reduction in particle size can be beneficial for reducing the residence time in the depolymerization of MCC to fuels and chemicals.