Literature DB >> 23540926

Pretreatment of sugarcane bagasse using supercritical carbon dioxide combined with ultrasound to improve the enzymatic hydrolysis.

Tássio Benazzi1, Selma Calgaroto, Viviane Astolfi, Clarissa Dalla Rosa, J Vladimir Oliveira, Marcio A Mazutti.   

Abstract

This work evaluates the pretreatment of sugarcane bagasse combining supercritical carbon dioxide (SC-CO2) and ultrasound to enhance the enzymatic hydrolysis of pretreated bagasse. In a first step the influence of process variables on the SC-CO2 pretreatment to enhance the enzymatic hydrolysis was evaluated by mean of a Plackett-Burmann design. Then, the sequential treatment combining ultrasound+SC-CO2 was evaluated. Results show that treatment using SC-CO2 increased the amount of fermentable sugar obtained of about 280% compared with the non-treated bagasse, leading to a hydrolysis efficiency (based on the amount of cellulose) as high as 74.2%. Combining ultrasound+SC-CO2 treatment increased about 16% the amount of fermentable sugar obtained by enzymatic hydrolysis in comparison with the treatment using only ultrasound. From the results presented in this work it can be concluded that the combined ultrasound+SC-CO2 treatment is an efficient and promising alternative to carry out the pretreatment of lignocellulosic feedstock at relatively low temperatures without the use of hazardous solvents.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23540926     DOI: 10.1016/j.enzmictec.2013.02.001

Source DB:  PubMed          Journal:  Enzyme Microb Technol        ISSN: 0141-0229            Impact factor:   3.493


  2 in total

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Authors:  Arijana Bušić; Nenad Marđetko; Semjon Kundas; Galina Morzak; Halina Belskaya; Mirela Ivančić Šantek; Draženka Komes; Srđan Novak; Božidar Šantek
Journal:  Food Technol Biotechnol       Date:  2018-09       Impact factor: 3.918

2.  Catalytic methyl esterification of colophony over ZnO/SFCCR with subcritical CO2: catalytic performance, reaction pathway and kinetics.

Authors:  Xubin Wang; Linlin Wang; Xiaopeng Chen; Dan Zhou; Han Xiao; Xiaojie Wei; Jiezhen Liang
Journal:  R Soc Open Sci       Date:  2018-05-02       Impact factor: 2.963

  2 in total

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