Assessment of lignocellulosic biomass using analytical spectroscopy: an evolution to high-throughput techniques

Lupoi, Jason S., Singh, Seema, Simmons, Blake A. and Henry, Robert J. (2014) Assessment of lignocellulosic biomass using analytical spectroscopy: an evolution to high-throughput techniques. Bioenergy Research, 7 1: 1-23. doi:10.1007/s12155-013-9352-1


Author Lupoi, Jason S.
Singh, Seema
Simmons, Blake A.
Henry, Robert J.
Title Assessment of lignocellulosic biomass using analytical spectroscopy: an evolution to high-throughput techniques
Journal name Bioenergy Research   Check publisher's open access policy
ISSN 1939-1234
1939-1242
Publication date 2014-01-01
Year available 2014
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1007/s12155-013-9352-1
Volume 7
Issue 1
Start page 1
End page 23
Total pages 23
Place of publication New York, NY United States
Publisher Springer New York LLC
Language eng
Subject 1102 Cardiovascular Medicine and Haematology
2101 Archaeology
2105 Renewable Energy, Sustainability and the Environment
Abstract Lignocellulosic biomass has been proposed as an option for reducing global dependence on nonrenewable energy sources, such as oil. Selection and development of biomass feedstocks that efficiently yield the maximum fuel or biomaterial requires the availability of reliable methods for compositional and structural characterization of plant material. Many standard methods for biomass analysis are laborious and slow, and employ a variety of harsh reagents requiring some degree of remediation. The use of simpler and more rapid spectroscopic methods has proved invaluable in analyzing biomass. In the twenty-first century, researchers have employed techniques such as Raman, mid-infrared, and near-infrared spectroscopy for a wide range of applications in endeavors to further understand biofuel feedstocks. While many methods remain time consuming and expensive, a growing interest in high-throughput spectroscopic techniques has provided faster and larger scale feedstock screening for desirable traits. This review seeks to provide an overview of both high-throughput techniques and those requiring longer analysis times but still providing abundant qualitative and quantitative data. While applications of these instrumental methods have been researched for decades, more recent developments will be discussed here.
Keyword Biomass
Chemometrics
Fourier transform infrared spectroscopy
High-throughput
Near-infrared spectroscopy
Raman spectroscopy
Spectroscopy
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2015 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 32 times in Thomson Reuters Web of Science Article | Citations
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