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Molecular simulation as a tool for studying lignin
被引:50
作者:
Sangha, Amandeep K.
[1
,2
]
Petridis, Loukas
[1
,2
]
Smith, Jeremy C.
[1
,2
,3
]
Ziebell, Angela
[4
,5
]
Parks, Jerry M.
[1
,2
]
机构:
[1] Oak Ridge Natl Lab, UT ORNL Ctr Mol Biophys, Oak Ridge, TN 37831 USA
[2] BioEnergy Sci Ctr, Oak Ridge, TN USA
[3] Univ Tennessee, Dept Biochem & Cellular & Mol Biol, Knoxville, TN 37996 USA
[4] Natl Renewable Energy Lab, Natl Bioenergy Ctr, Golden, CO 80401 USA
[5] BioEnergy Sci Ctr, Golden, CO USA
基金:
美国能源部;
关键词:
biomass;
recalcitrance;
quantum chemistry;
molecular dynamics;
DENSITY FUNCTIONALS;
COMPUTATIONAL PREDICTION;
THERMOCHEMICAL KINETICS;
DEHYDROGENATIVE POLYMER;
SEMIEMPIRICAL METHODS;
ENZYMATIC-HYDROLYSIS;
COMPUTER-SIMULATION;
CONIFERYL ALCOHOL;
DOWN-REGULATION;
MODEL-COMPOUND;
D O I:
10.1002/ep.10628
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Lignocellulosic biomass provides a sustainable source of sugars for biofuel and biomaterial production. However, biomass resistance to degradation imposes difficulties for economical conversion of plant carbohydrates to fermentable sugars. One of the key contributors to recalcitrance is lignin. Understanding the properties of lignin macromolecules in the cell wall matrix is useful for manipulating biomass structure to generate more easily degradable biomass. Along with experimental techniques such as 2D-NMR and mass spectrometry, computational techniques can be useful for characterizing the structural and energetic properties of the biomass assembly and its individual constituents. Here, we provide a brief introduction to lignin, review some of the recent, relevant scientific literature, and give our perspectives on the role of molecular simulation in understanding lignin structure. (C) 2011 American Institute of Chemical Engineers Environ Prog, 2012
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页码:47 / 54
页数:8
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