Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy
Open Access
- 18 August 2011
- journal article
- research article
- Published by Springer Science and Business Media LLC in Plant Methods
- Vol. 7 (1), 26
- https://doi.org/10.1186/1746-4811-7-26
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.Keywords
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