High Throughput Screening Technologies in Biomass Characterization
Abstract
Biomass analysis is a slow and tedious process and not solely due to the long generation time for most plant species. Screening large numbers of plant variants for various geno-, pheno-, and chemo-types, whether naturally occurring or engineered in the lab, has multiple challenges. Plant cell walls are complex, heterogeneous networks that are difficult to deconstruct and analyze. Macroheterogeneity from tissue types, age, and environmental factors makes representative sampling a challenge and natural variability generates a significant range in data. Using high throughput (HTP) methodologies allows for large sample sets and replicates to be examined, narrowing in on more precise data for various analyses. This review provides a comprehensive survey of high throughput screening as applied to biomass characterization, from compositional analysis of cell walls by NIR, NMR, mass spectrometry, and wet chemistry to functional screening of changes in recalcitrance via HTP thermochemical pretreatment coupled to enzyme hydrolysis and microscale fermentation. The advancements and development of most high-throughput methods have been achieved through utilization of state-of-the art equipment and robotics, rapid detection methods, as well as reduction in sample size and preparation procedures. The computational analysis of the large amount of data generated using high throughput analytical techniques has recentlymore »
- Authors:
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Sustainable Transportation Office. Bioenergy Technologies Office (BETO)
- OSTI Identifier:
- 1483426
- Alternate Identifier(s):
- OSTI ID: 1493117; OSTI ID: 1558897
- Report Number(s):
- NREL/JA-2700-72729
Journal ID: ISSN 2296-598X; 120
- Grant/Contract Number:
- AC36-08GO28308; AC05-00OR22725; AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Frontiers in Energy Research
- Additional Journal Information:
- Journal Name: Frontiers in Energy Research Journal Volume: 6; Journal ID: ISSN 2296-598X
- Publisher:
- Frontiers Research Foundation
- Country of Publication:
- Switzerland
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; biomass recalcitrance, biomass compositional analysis, high throughput analysis, neural networks, biomass conversion; biomass recalcitrance; biomass compositional analysis; high throughput analysis; neural networks; biomass conversion
Citation Formats
Decker, Stephen R., Harman-Ware, Anne E., Happs, Renee M., Wolfrum, Edward J., Tuskan, Gerald A., Kainer, David, Oguntimein, Gbekeloluwa B., Rodriguez, Miguel, Weighill, Deborah, Jones, Piet, and Jacobson, Daniel. High Throughput Screening Technologies in Biomass Characterization. Switzerland: N. p., 2018.
Web. doi:10.3389/fenrg.2018.00120.
Decker, Stephen R., Harman-Ware, Anne E., Happs, Renee M., Wolfrum, Edward J., Tuskan, Gerald A., Kainer, David, Oguntimein, Gbekeloluwa B., Rodriguez, Miguel, Weighill, Deborah, Jones, Piet, & Jacobson, Daniel. High Throughput Screening Technologies in Biomass Characterization. Switzerland. https://doi.org/10.3389/fenrg.2018.00120
Decker, Stephen R., Harman-Ware, Anne E., Happs, Renee M., Wolfrum, Edward J., Tuskan, Gerald A., Kainer, David, Oguntimein, Gbekeloluwa B., Rodriguez, Miguel, Weighill, Deborah, Jones, Piet, and Jacobson, Daniel. Tue .
"High Throughput Screening Technologies in Biomass Characterization". Switzerland. https://doi.org/10.3389/fenrg.2018.00120.
@article{osti_1483426,
title = {High Throughput Screening Technologies in Biomass Characterization},
author = {Decker, Stephen R. and Harman-Ware, Anne E. and Happs, Renee M. and Wolfrum, Edward J. and Tuskan, Gerald A. and Kainer, David and Oguntimein, Gbekeloluwa B. and Rodriguez, Miguel and Weighill, Deborah and Jones, Piet and Jacobson, Daniel},
abstractNote = {Biomass analysis is a slow and tedious process and not solely due to the long generation time for most plant species. Screening large numbers of plant variants for various geno-, pheno-, and chemo-types, whether naturally occurring or engineered in the lab, has multiple challenges. Plant cell walls are complex, heterogeneous networks that are difficult to deconstruct and analyze. Macroheterogeneity from tissue types, age, and environmental factors makes representative sampling a challenge and natural variability generates a significant range in data. Using high throughput (HTP) methodologies allows for large sample sets and replicates to be examined, narrowing in on more precise data for various analyses. This review provides a comprehensive survey of high throughput screening as applied to biomass characterization, from compositional analysis of cell walls by NIR, NMR, mass spectrometry, and wet chemistry to functional screening of changes in recalcitrance via HTP thermochemical pretreatment coupled to enzyme hydrolysis and microscale fermentation. The advancements and development of most high-throughput methods have been achieved through utilization of state-of-the art equipment and robotics, rapid detection methods, as well as reduction in sample size and preparation procedures. The computational analysis of the large amount of data generated using high throughput analytical techniques has recently become more sophisticated, faster and economically viable, enabling a more comprehensive understanding of biomass genomics, structure, composition, and properties. Therefore, methodology for analyzing large datasets generated by the various analytical techniques is also covered.},
doi = {10.3389/fenrg.2018.00120},
journal = {Frontiers in Energy Research},
number = ,
volume = 6,
place = {Switzerland},
year = {Tue Nov 27 00:00:00 EST 2018},
month = {Tue Nov 27 00:00:00 EST 2018}
}
Free Publicly Available Full Text
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https://doi.org/10.3389/fenrg.2018.00120
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Cited by: 26 works
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Figures / Tables:
TABLE 1 : Summary of HTP methods in biomass conversion.
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