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

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논문

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

학술지

Proceedings of the National Academy of Sciences of the United States of America

저자명

Rollin, Joseph A.; Martin del Campo, Julia; Myung, Suwan; Sun, Fangfang; You, Chun; Bakovic, Allison; Castro, Roberto; Chandrayan, Sanjeev K.; Wu, Chang-Hao; Adams, Michael W. W.; Senger, Ryan S.; Zhang, Y.-H. Percival

초록

<P><B>Significance</B></P><P>Hydrogen (H<SUB>2</SUB>) has great potential to be used to power passenger vehicles. One solution to these problems is to distribute and store renewable carbohydrate instead, converting it to hydrogen as required. In this work more than 10 purified enzymes were combined into artificial enzymatic pathways and a high yield from both glucose and xylose to hydrogen was achieved. Also, gaseous hydrogen can be separated from aqueous substrates easily, greatly decreasing product separation costs, and avoid reconcentrating sugar solutions. This study describes high-yield enzymatic hydrogen production from biomass sugars and an engineered reaction rate increase achieved through the use of kinetic modeling. Distributed hydrogen production based on evenly distributed less-costly biomass could accelerate the implementation of the hydrogen economy.</P><P>The use of hydrogen (H<SUB>2</SUB>) 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<SUB>2</SUB> and CO<SUB>2</SUB> based on an in vitro synthetic enzymatic pathway. Glucose and xylose were simultaneously converted to H<SUB>2</SUB> with a yield of two H<SUB>2</SUB> 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<SUB>2</SUB> productivity was increased 3-fold to 32 mmol H<SUB>2</SUB>&#x22C5;L<SUP>&#x2212;1</SUP>&#x22C5;h<SUP>&#x2212;1</SUP>. The productivity was further enhanced to 54 mmol H<SUB>2</SUB>&#x22C5;L<SUP>&#x2212;1</SUP>&#x22C5;h<SUP>&#x2212;1</SUP> by increasing reaction temperature, substrate, and enzyme concentrations&#x2014;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.</P>

발행연도

2015

발행기관

National Academy of Sciences

ISSN

0027-8424

ISSN

1091-6490

112

16

페이지

pp.4964-4969

주제어

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

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1 2023-12-11

논문; 2015-04-06

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