Literature DB >> 17585779

Optimization of ammonia fiber expansion (AFEX) pretreatment and enzymatic hydrolysis of Miscanthus x giganteus to fermentable sugars.

Hannah K Murnen1, Venkatesh Balan, Shishir P S Chundawat, Bryan Bals, Leonardo da Costa Sousa, Bruce E Dale.   

Abstract

Miscanthus x giganteus is a tall perennial grass whose suitability as an energy crop is presently being appraised. There is very little information on the effect of pretreatment and enzymatic saccharification of Miscanthus to produce fermentable sugars. This paper reports sugar yields during enzymatic hydrolysis from ammonia fiber expansion (AFEX) pretreated Miscanthus. Pretreatment conditions including temperature, moisture, ammonia loading, residence time, and enzyme loadings are varied to maximize hydrolysis yields. In addition, further treatments such as soaking the biomass prior to AFEX as well as washing the pretreated material were also attempted to improve sugar yields. The optimal AFEX conditions determined were 160 degrees C, 2:1 (w/w) ammonia to biomass loading, 233% moisture (dry weight basis), and 5 min reaction time for water-soaked Miscanthus. Approximately 96% glucan and 81% xylan conversions were achieved after 168 h enzymatic hydrolysis at 1% glucan loading using 15 FPU/(g of glucan) of cellulase and 64 p-NPGU/(g of glucan) of beta-glucosidase along with xylanase and tween-80 supplementation. A mass balance for the AFEX pretreatment and enzymatic hydrolysis process is presented.

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Year:  2007        PMID: 17585779     DOI: 10.1021/bp070098m

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  8 in total

1.  Rapid optimization of enzyme mixtures for deconstruction of diverse pretreatment/biomass feedstock combinations.

Authors:  Goutami Banerjee; Suzana Car; John S Scott-Craig; Melissa S Borrusch; Jonathan D Walton
Journal:  Biotechnol Biofuels       Date:  2010-10-12       Impact factor: 6.040

2.  Evaluation of ammonia fibre expansion (AFEX) pretreatment for enzymatic hydrolysis of switchgrass harvested in different seasons and locations.

Authors:  Bryan Bals; Chad Rogers; Mingjie Jin; Venkatesh Balan; Bruce Dale
Journal:  Biotechnol Biofuels       Date:  2010-01-04       Impact factor: 6.040

3.  Phylogeny in defining model plants for lignocellulosic ethanol production: a comparative study of Brachypodium distachyon, wheat, maize, and Miscanthus x giganteus leaf and stem biomass.

Authors:  Till Meineke; Chithra Manisseri; Christian A Voigt
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

4.  The use of flow cytometry to assess Rhodosporidium toruloides NCYC 921 performance for lipid production using Miscanthus sp. hydrolysates.

Authors:  Joana Alves Martins; Teresa Lopes da Silva; Susana Marques; Florbela Carvalheiro; Luísa B Roseiro; Luís C Duarte; Francisco Gírio
Journal:  Biotechnol Rep (Amst)       Date:  2021-05-28

5.  Rapid selection and identification of Miscanthus genotypes with enhanced glucan and xylan yields from hydrothermal pretreatment followed by enzymatic hydrolysis.

Authors:  Taiying Zhang; Charles E Wyman; Katrin Jakob; Bin Yang
Journal:  Biotechnol Biofuels       Date:  2012-08-03       Impact factor: 6.040

6.  Pretreatment on Miscanthus lutarioriparious by liquid hot water for efficient ethanol production.

Authors:  Hong-Qiang Li; Cheng-Lan Li; Tao Sang; Jian Xu
Journal:  Biotechnol Biofuels       Date:  2013-05-10       Impact factor: 6.040

7.  Biological pretreatment of rubberwood with Ceriporiopsis subvermispora for enzymatic hydrolysis and bioethanol production.

Authors:  Forough Nazarpour; Dzulkefly Kuang Abdullah; Norhafizah Abdullah; Nazila Motedayen; Reza Zamiri
Journal:  Biomed Res Int       Date:  2013-09-19       Impact factor: 3.411

8.  Assessment of bacterial and fungal (hemi)cellulose-degrading enzymes in saccharification of ammonia fibre expansion-pretreated Arundo donax.

Authors:  Simona Giacobbe; Venkatesh Balan; Salvatore Montella; Massimo Fagnano; Mauro Mori; Vincenza Faraco
Journal:  Appl Microbiol Biotechnol       Date:  2015-10-31       Impact factor: 4.813

  8 in total

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