Insight into Steam Explosion Pretreatment of Sugarcane Bagasse for Bioethanol Production

Barciela, Paula; Perez-Vazquez, Ana; Carpena, María; Mansour, Sepidar Seyyedi; Donn, Pauline; Fraga-Corral, María; Otero, Paz; Xiao, Jianbo; Simal-Gándara, Jesús; Prieto, Miguel A.; Cassani, Lucía

doi:10.3390/ecp2023-14673

Cited by 1 publication

(1 citation statement)

References 33 publications

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“…The hemicellulose content, registered at 31.58%, surpassed the values reported by Karagoz et al [ 38 ] and Jiménez‐Villota et al [ 39 ] by 20.2% and 58.8%, respectively. Notably, the cellulose content, standing at 48.7%, surpassed Barciela et al's [ 37 ] values by 19.41% and exceeded those of Jiménez‐Villota et al [ 39 ] by a significant 52.83%. However, Karagoz et al [ 38 ] did report slightly higher cellulose values, merely 3.23% more than what was obtained in this work (50.53%).…”

Section: Resultsmentioning

confidence: 59%

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Velázquez‐Herrera,

Cobos‐Murcia,

Bolaños‐Reynoso

et al. 2024

Can J Chem Eng

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This research paper presents a comprehensive investigation aimed at enhancing the 2G bioethanol production process through the implementation of a dynamic process simulator. The simulator, developed using the Julia programming language, enables the prediction of acid hydrolysis behaviour by manipulating critical variables, including liquid–solid ratio (LSR), acid concentration (CA), and processing time (t). Through meticulous simulations and subsequent experimental validation, optimal operating conditions were revealed, with an H2SO4 concentration of 2% v/v, a LSR of 4% v/w, and 60‐min processing time at 121.1°C. This configuration led to remarkable outcomes, including a xylose concentration of 47.45 g L−1 and an 87.4% hemicellulose removal percentage. Moreover, the simulator unveiled the adverse influence of low LSR values on xylose production and the generation of degradation products. The recalibration of kinetic parameters, guided by experimental data, further fine‐tuned the simulator's predictive accuracy. Overall, this study underscores the potential of the simulator in optimizing various raw materials and presents a promising avenue for advancing 2G bioethanol industry practices.

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Section: Resultsmentioning

confidence: 59%

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Velázquez‐Herrera,

Cobos‐Murcia,

Bolaños‐Reynoso

et al. 2024

Can J Chem Eng

View full text Add to dashboard Cite

show abstract

Insight into Steam Explosion Pretreatment of Sugarcane Bagasse for Bioethanol Production

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 33 publications

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

Modelling and dynamic simulation to produce fermentable sugars from lignocellulosic substrates through dilute acid hydrolysis

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