Published in
BioMed Central, Plant Methods, 1(7), 2011
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- [www.researchgate.net] | PDF
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Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy
Journal article published in 2011 by
Andreia M. Smith-Moritz,
Sze-To Wing,
Mawsheng Chern,
Jeemeng Lao 
,
Wing Hoi Sze-To,
Joshua L. Heazlewood,
Pamela C. Ronald,
Miguel E. Vega-Sánchez
,
Wing Hoi Sze-To,
Joshua L. Heazlewood,
Pamela C. Ronald,
Miguel E. Vega-Sánchez
This paper is made freely available by the publisher.
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Abstract
Abstract We outline a high throughput procedure that improves outlier detection in cell wall screens using FT-NIR spectroscopy of plant leaves. The improvement relies on generating a calibration set from a subset of a mutant population by taking advantage of the Mahalanobis distance outlier scheme to construct a monosaccharide range predictive model using PLS regression. This model was then used to identify specific monosaccharide outliers from the mutant population.