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High-throughput prediction of eucalypt lignin syringyl/guaiacyl content using multivariate analysis: a comparison between mid-infrared, near-infrared, and Raman spectroscopies for model development

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, June 2014
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Title
High-throughput prediction of eucalypt lignin syringyl/guaiacyl content using multivariate analysis: a comparison between mid-infrared, near-infrared, and Raman spectroscopies for model development
Published in
Biotechnology for Biofuels and Bioproducts, June 2014
DOI 10.1186/1754-6834-7-93
Pubmed ID
Authors

Jason S Lupoi, Seema Singh, Mark Davis, David J Lee, Merv Shepherd, Blake A Simmons, Robert J Henry

Abstract

In order to rapidly and efficiently screen potential biofuel feedstock candidates for quintessential traits, robust high-throughput analytical techniques must be developed and honed. The traditional methods of measuring lignin syringyl/guaiacyl (S/G) ratio can be laborious, involve hazardous reagents, and/or be destructive. Vibrational spectroscopy can furnish high-throughput instrumentation without the limitations of the traditional techniques. Spectral data from mid-infrared, near-infrared, and Raman spectroscopies was combined with S/G ratios, obtained using pyrolysis molecular beam mass spectrometry, from 245 different eucalypt and Acacia trees across 17 species. Iterations of spectral processing allowed the assembly of robust predictive models using partial least squares (PLS).

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
United States 1 1%
Sweden 1 1%
South Africa 1 1%
Unknown 76 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 28%
Student > Ph. D. Student 18 23%
Student > Master 9 11%
Student > Bachelor 7 9%
Student > Doctoral Student 3 4%
Other 9 11%
Unknown 12 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 29%
Engineering 10 13%
Chemistry 7 9%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 6 8%
Other 12 15%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2014.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,285
of 1,578 outputs
Outputs of similar age
#178,010
of 242,746 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#25
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.