Modeling of Sulfite Concentration, Particle Size, and Reaction Time in Lignosulfonate Production from Barley Straw Using Response Surface Methodology and Artificial Neural Network

Abstract

Barley straw is a lignocellulosic biomass that can be used to obtain value-added products for industrial applications. Barley straw hydrolysis with sodium sulfite facilitates the production of lignosulfonates. In this work, the delignification process of barley straw by solubilizing lignin through sulfite method was studied. Response surface methodology and artificial neural network were used to develop predictive models for simulation and optimization of delignification process of barley straw. The influence of parameters over sulfite concentration (1.0 to 10.0%), particle size (8 to 20), and reaction time (30 to 90 min) on total percentage of solubilized material was investigated through a three level three factor (3 3 ) full factorial central composite design with the help of Matlab® ver. 8.1. The results show that particle size and sulfite concentration have the most significant effect on delignification process. Both techniques, response surface methodology and artificial neural networks, predicted the lignosulfonate yield adequately, although the artificial neural network technique produced a better fit (R 2 = 0.9825) against the response surface methodology (R 2 = 0.9290). Based on these findings, this study can be used as a guide to forecast the potential production of lignosulfonates from barley straw using different experimental conditions.

A discrete element method model of corn stalk and its mechanical characteristic parameters

“…With improvements in computing technology, complex behavior information, such as the movement of particle groups, forces, and energy consumption during bulk material crushing, can be directly obtained from computer-aided numerical simulations and analysis with discrete element methods (DEMs) (Serna-Diaz et al 2016). DEMs have been widely used in the design and optimization of agricultural machinery.…”

Reducing specific binding affinity while maintaining the enzyme activity: Dual effects of lignosulfonates on enzyme hydrolysis of sulfite-pretreated lignocellulose

“…Lignosulfonates (LS) are lignin-derived products that are present in hydrolysates generated during sulfite pretreatment (Serna-Diaz et al 2016;Dong et al 2018b;Zhou et al 2013. Despite the well-accepted concept that pretreatment hydrolysate exhibits an inhibitory role with respect to enzymes (Del Rio et al 2019;Zhong et al 2019), some studies have recently demonstrated the beneficial effects of LS on the cellulose saccharification.…”