4.8 Article

High-yield hydrogen production from biomass by in vitro metabolic engineering: Mixed sugars coutilization and kinetic modeling

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1417719112

Keywords

hydrogen; biomass; in vitro metabolic engineering; metabolic network modeling; global sensitivity analysis

Funding

  1. Virginia Tech Biological Systems Engineering Department
  2. Shell GameChanger Program
  3. Virginia Tech CALS Biodesign and Bioprocessing Research Center
  4. National Science Foundation (NSF) [STTR I (IIP-1321528), SBIR II (IIP-1353266)]
  5. Department of Energy [STTR I (IIP-1321528)]
  6. Department of Defense through the National Defense Science and Engineering Graduate Fellowship Program
  7. Institute for Critical Technology and Applied Science Scholar Program
  8. NSF's Research Experience for Undergraduates program
  9. Division of Chemical Sciences, Geosciences, and Biosciences, Office of Basic Energy Sciences of the US Department of Energy [DE-FG05-95ER20175]
  10. Virginia Agricultural Experiment Station
  11. Hatch Program of the National Institute of Food and Agriculture, US Department of Agriculture
  12. Div Of Engineering Education and Centers
  13. Directorate For Engineering [1156645] Funding Source: National Science Foundation

Ask authors/readers for more resources

The use of hydrogen (H-2) as a fuel offers enhanced energy conversion efficiency and tremendous potential to decrease greenhouse gas emissions, but producing it in a distributed, carbon-neutral, low-cost manner requires new technologies. Herein we demonstrate the complete conversion of glucose and xylose from plant biomass to H-2 and CO2 based on an in vitro synthetic enzymatic pathway. Glucose and xylose were simultaneously converted to H-2 with a yield of two H-2 per carbon, the maximum possible yield. Parameters of a nonlinear kinetic model were fitted with experimental data using a genetic algorithm, and a global sensitivity analysis was used to identify the enzymes that have the greatest impact on reaction rate and yield. After optimizing enzyme loadings using this model, volumetric H-2 productivity was increased 3-fold to 32 mmol H-2.L-1.h(-1). The productivity was further enhanced to 54 mmol H-2.L-1.h(-1) by increasing reaction temperature, substrate, and enzyme concentrations-an increase of 67-fold compared with the initial studies using this method. The production of hydrogen from locally produced biomass is a promising means to achieve global green energy production.

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