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). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
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% |