Microwave pretreatment of switchgrass to enhance enzymatic hydrolysis

Deepak R. Keshwani, Jay J. Cheng, Joseph C. Burns, Laigeng Li, Vincent Chiang

Research output: Contribution to conferencePaperpeer-review

34 Scopus citations

Abstract

Switchgrass is a promising lignocellulosic biomass for fuel-ethanol production. However, pretreatment of lignocellulosic materials is necessary to improve its susceptibility to enzymatic hydrolysis. The objectives of this study were to examine the feasibility of microwave pretreatment to enhance enzymatic hydrolysis of switchgrass and to determine the optimal pretreatment conditions. Switchgrass samples immersed in water, dilute sulfuric acid and dilute sodium hydroxide solutions were exposed to microwave radiation at varying levels of radiation power and residence time. Pretreated solids were enzymatically hydrolyzed and reducing sugars in the hydrolysate were analyzed. Microwave radiation of switchgrass at lower power levels resulted in more efficient enzymatic hydrolysis. The application of microwave radiation for 10 minutes at 250 watts to switchgrass immersed in 3% sodium hydroxide solution (w/v) produced the highest yields of reducing sugar. Results were comparable to conventional 60 minute sodium hydroxide pretreatment of switchgrass. The findings suggest that combined microwave-alkali is a promising pretreatment method to enhance enzymatic hydrolysis of switchgrass.

Original languageEnglish (US)
StatePublished - 2007
Externally publishedYes
Event2007 ASABE Annual International Meeting, Technical Papers - Minneapolis, MN, United States
Duration: Jun 17 2007Jun 20 2007

Conference

Conference2007 ASABE Annual International Meeting, Technical Papers
Country/TerritoryUnited States
CityMinneapolis, MN
Period6/17/076/20/07

Keywords

  • Chemical pretreatment
  • Enzymatic hydrolysis
  • Ethanol production
  • Lignocellulosic biomass
  • Microwave pretreatment
  • Switchgrass

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • General Engineering

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