BACKGROUND: When producing biofuels from dedicated feedstock, agronomic factors such as harvest time and location can impact the downstream production. Thus, this paper studies the effectiveness of ammonia fibre expansion (AFEX) pretreatment on two harvest times (July and October) and ecotypes/locations (Cave-in-Rock (CIR) harvested in Michigan and Alamo harvested in Alabama) for switchgrass (Panicum virgatum). RESULTS: Both harvest date and ecotype/location determine the pretreatment conditions that produce maximum sugar yields. There was a high degree of correlation between glucose and xylose released regardless of the harvest, pretreatment conditions, or enzyme formulation. Enzyme formulation that produced maximum sugar yields was the same across all harvests except for the CIR October harvest. The least mature sample, the July harvest of CIR switchgrass, released the most sugars (520 g/kg biomass) during enzymatic hydrolysis while requiring the least severe pretreatment conditions. In contrast, the most mature harvest released the least amount of sugars (410 g/kg biomass). All hydrolysates were highly fermentable, although xylose utilisation in the July CIR hydrolysate was poor. CONCLUSIONS: Each harvest type and location responded differently to AFEX pretreatment, although all harvests successfully produced fermentable sugars. Thus, it is necessary to consider an integrated approach between agricultural production and biochemical processing in order to insure optimal productivity.
BACKGROUND: When producing biofuels from dedicated feedstock, agronomic factors such as harvest time and location can impact the downstream production. Thus, this paper studies the effectiveness of ammonia fibre expansion (AFEX) pretreatment on two harvest times (July and October) and ecotypes/locations (Cave-in-Rock (CIR) harvested in Michigan and Alamo harvested in Alabama) for switchgrass (Panicum virgatum). RESULTS: Both harvest date and ecotype/location determine the pretreatment conditions that produce maximum sugar yields. There was a high degree of correlation between glucose and xylose released regardless of the harvest, pretreatment conditions, or enzyme formulation. Enzyme formulation that produced maximum sugar yields was the same across all harvests except for the CIR October harvest. The least mature sample, the July harvest of CIR switchgrass, released the most sugars (520 g/kg biomass) during enzymatic hydrolysis while requiring the least severe pretreatment conditions. In contrast, the most mature harvest released the least amount of sugars (410 g/kg biomass). All hydrolysates were highly fermentable, although xylose utilisation in the July CIR hydrolysate was poor. CONCLUSIONS: Each harvest type and location responded differently to AFEX pretreatment, although all harvests successfully produced fermentable sugars. Thus, it is necessary to consider an integrated approach between agricultural production and biochemical processing in order to insure optimal productivity.
Authors: Bruce S Dien; Eduardo A Ximenes; Patricia J O'Bryan; Mohammed Moniruzzaman; Xin-Liang Li; Venkatesh Balan; Bruce Dale; Michael A Cotta Journal: Bioresour Technol Date: 2007-11-08 Impact factor: 9.642
Authors: Hannah K Murnen; Venkatesh Balan; Shishir P S Chundawat; Bryan Bals; Leonardo da Costa Sousa; Bruce E Dale Journal: Biotechnol Prog Date: 2007-06-22
Authors: Stephanie A Eichorst; Chijioke Joshua; Noppadon Sathitsuksanoh; Seema Singh; Blake A Simmons; Steven W Singer Journal: Appl Environ Microbiol Date: 2014-09-26 Impact factor: 4.792
Authors: Jeffrey V Zurawski; Piyum A Khatibi; Hannah O Akinosho; Christopher T Straub; Scott H Compton; Jonathan M Conway; Laura L Lee; Arthur J Ragauskas; Brian H Davison; Michael W W Adams; Robert M Kelly Journal: Appl Environ Microbiol Date: 2017-08-17 Impact factor: 4.792
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
Authors: Vinícius F N Silva; Priscila V Arruda; Maria G A Felipe; Adilson R Gonçalves; George J M Rocha Journal: J Ind Microbiol Biotechnol Date: 2010-08-26 Impact factor: 3.346
Authors: Rashmi Priyadarshinee; Anuj Kumar; Tamal Mandal; Dalia Dasguptamandal Journal: Environ Sci Pollut Res Int Date: 2016-09-30 Impact factor: 4.223
Authors: Benjamin R Caes; Thomas R Van Oosbree; Fachuang Lu; John Ralph; Christos T Maravelias; Ronald T Raines Journal: ChemSusChem Date: 2013-08-12 Impact factor: 8.928
Authors: Anuj K Chandel; Felipe Af Antunes; Messias B Silva; Silvio Silvério da Silva Journal: Biotechnol Biofuels Date: 2013-07-15 Impact factor: 6.040
Authors: Shara D McClendon; Tanveer Batth; Christopher J Petzold; Paul D Adams; Blake A Simmons; Steven W Singer Journal: Biotechnol Biofuels Date: 2012-07-28 Impact factor: 6.040
Authors: Kai Deng; Joel M Guenther; Jian Gao; Benjamin P Bowen; Huu Tran; Vimalier Reyes-Ortiz; Xiaoliang Cheng; Noppadon Sathitsuksanoh; Richard Heins; Taichi E Takasuka; Lai F Bergeman; Henrik Geertz-Hansen; Samuel Deutsch; Dominique Loqué; Kenneth L Sale; Blake A Simmons; Paul D Adams; Anup K Singh; Brian G Fox; Trent R Northen Journal: Front Bioeng Biotechnol Date: 2015-10-13