In this work, a mathematical model is proposed to predict the kinetic behaviour of the enzymatic conversion of various types of lignocellulosic biomass into fermentable sugars. Digestion of the cellulosic polymers is carried out using enzymatic hydrolysis under different conditions. Unlike other kinetic models, published previously for this process, this one considers the heterogeneous nature of the process by which a solid, in the form of small particles, is decomposed to monosaccharides by the action of a diverse set of enzymes in solution. The effect of the particle size on the hydrolysis rate has also been taken into consideration. To assess the model's goodness of fit to any general situation, the experimental data obtained in the hydrolysis of three different lignocellulosic residues have been analysed. Thus, the hydrolysis data of wheat straw, rice husks and exhausted sugar beet pellets have been compared with the theoretical values calculated by the model. The results obtained show that this model predicts the enzyme's hydrolysis of lignocellulosic substrates under different conditions very accurately and it could therefore be used efficiently in the optimization of the hydrolysis processes implemented in the bio-refinery industry. is a lecturer in the Department of Chemical Engineering and Food Technology at the University of Cádiz, with a background in chemistry and a PhD in chemical engineering from the same university. Her research focuses on the use and valorization of agrofood residues and byproducts using solid-state fermentation and submerged culture, the production of hydrolytic enzymes with industrial applications and the production of value-added bioproducts.
Cristina MarzoCristina Marzo is a PhD student chemical engineering at the University of Cádiz. She graduated and obtained a master's degree in chemical engineering from the same university. Her research focuses on the valorization of agroindustrial wastes and byproducts with the main objective of obtaining value-added products. The techniques used for this are mainly biological processes, such as enzyme hydrolysis, submerged fermentation and solid-state fermentation.