Shock treatment of corn stover
Austin Bond1, Hema Rughoonundun1, Eric Petersen2
1Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843.
Biotechnology Progress
|January 28, 2017
Summary
Shock treatment significantly improves corn stover digestibility. High pressurization rates enhance enzymatic conversion, reducing enzyme loading by half for efficient biofuel production.
Area of Science:
- Biotechnology
- Chemical Engineering
- Biomass Conversion
Background:
- Corn stover is a promising lignocellulosic biomass for biofuel production.
- Improving the enzymatic digestibility of corn stover is crucial for efficient conversion.
- Current methods for biomass pretreatment require optimization for cost-effectiveness.
Purpose of the Study:
- To investigate the efficacy of shock treatment in enhancing corn stover digestibility.
- To determine the optimal conditions for shock treatment parameters.
- To assess the potential for commercial-scale application of this technology.
Main Methods:
- Lime-treated corn stover slurry subjected to shock waves generated by shotgun shells or gas detonations.
- Varied parameters including pressure, depth, solids concentration, and gas mixtures.
- Enzymatic digestibility assays conducted to quantify glucan conversion.
Main Results:
- High pressurization rates (108,000 MPa/s via shotgun, 4,160,000 MPa/s via H2/O2 detonation) significantly improved enzymatic digestibility.
- Stoichiometric propane/air deflagration (37.2 MPa/s) did not enhance digestibility.
- Enzyme loading was reduced by approximately twofold while maintaining conversion rates.
- A process cycling three 0.575 m³ vessels every 7.5 s demonstrated commercial viability (2,000 tons/day).
Conclusions:
- Shock treatment, particularly with high pressurization rates, is an effective method for enhancing corn stover enzymatic digestibility.
- This technology offers a pathway to reduce enzyme requirements and improve the economics of biofuel production from corn stover.
- The rapid cycling capability suggests feasibility for large-scale industrial application.


