Literature DB >> 22167347

Reducing acid in dilute acid pretreatment and the impact on enzymatic saccharification.

Ye Chen1, Mark A Stevens, Yongming Zhu, Jason Holmes, Geoffrey Moxley, Hui Xu.   

Abstract

Dilute acid pretreatment is a leading pretreatment technology for biomass to ethanol conversion due to the comparatively low chemical cost and effective hemicellulose solubilization. The conventional dilute acid pretreatment processes use relatively large quantities of sulfuric acid and require alkali for pH adjustment afterwards. Significant amounts of sulfate salts are generated as by-products, which have to be properly treated before disposal. Wastewater treatment is an expensive, yet indispensable part of commercial level biomass-to-ethanol plants. Therefore, reducing acid use to the lowest level possible would be of great interest to the emerging biomass-to-ethanol industry. In this study, a dilute acid pretreatment process was developed for the pretreatment of corn stover. The pretreatment was conducted at lower acid levels than the conventional process reported in the literature while using longer residence times. The study indicates that a 50% reduction in acid consumption can be achieved without compromising pretreatment efficiency when the pretreatment time was extended from 1-5 min to 15-20 min. To avoid undesirable sugar degradation and inhibitor generation, temperatures should be controlled below 170°C. When the sulfuric acid-to-lignocellulosic biomass ratio was kept at 0.025 g acid/g dry biomass, a cellulose-to-glucose conversion of 72.7% can be achieved at an enzyme loading of 0.016 g/g corn stover. It was also found that acid loading based on total solids (g acid/g dry biomass) governs the pretreatment efficiency rather than the acid concentration (g acid/g pretreatment liquid). While the acid loading on lignocellulosic biomass may be achieved through various combinations of solids loading and acid concentration in the pretreatment step, this work shows that it is unlikely to reduce acid use without undermining pretreatment efficiency simply by increasing the solid content in pretreatment reactors, therefore acid loading on biomass is indicated to be the key factor in effective dilute acid pretreatment.

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Year:  2011        PMID: 22167347     DOI: 10.1007/s10295-011-1068-7

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  15 in total

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2.  Lime pretreatment and enzymatic hydrolysis of corn stover.

Authors:  Sehoon Kim; Mark T Holtzapple
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3.  Optimization of pH controlled liquid hot water pretreatment of corn stover.

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Journal:  Bioresour Technol       Date:  2005-12       Impact factor: 9.642

4.  Influence of xylan on the enzymatic hydrolysis of steam-pretreated corn stover and hybrid poplar.

Authors:  Renata Bura; Richard Chandra; Jack Saddler
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5.  Effect of anatomical fractionation on the enzymatic hydrolysis of acid and alkaline pretreated corn stover.

Authors:  K B Duguid; M D Montross; C W Radtke; C L Crofcheck; L M Wendt; S A Shearer
Journal:  Bioresour Technol       Date:  2009-06-26       Impact factor: 9.642

6.  The effects of four different pretreatments on enzymatic hydrolysis of sweet sorghum bagasse.

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Authors:  Claudia C Geddes; Ismael U Nieves; Lonnie O Ingram
Journal:  Curr Opin Biotechnol       Date:  2011-05-19       Impact factor: 9.740

9.  Dilute-sulfuric acid pretreatment of corn stover in pilot-scale reactor: investigation of yields, kinetics, and enzymatic digestibilities of solids.

Authors:  Daniel J Schell; Jody Farmer; Millie Newman; James D McMillan
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Authors:  L Shuai; Q Yang; J Y Zhu; F C Lu; P J Weimer; J Ralph; X J Pan
Journal:  Bioresour Technol       Date:  2010-01-12       Impact factor: 9.642

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6.  Understanding of alkaline pretreatment parameters for corn stover enzymatic saccharification.

Authors:  Ye Chen; Mark A Stevens; Yongming Zhu; Jason Holmes; Hui Xu
Journal:  Biotechnol Biofuels       Date:  2013-01-28       Impact factor: 6.040

7.  Biomass Pretreatment and Enzymatic Hydrolysis Dynamics Analysis Based on Particle Size Imaging.

Authors:  Dimitrios Kapsokalyvas; Arnold Wilbers; Ilco A L A Boogers; Maaike M Appeldoorn; Mirjam A Kabel; Joachim Loos; Marc A M J Van Zandvoort
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  7 in total

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