Combining multivariate analysis and monosaccharide composition modeling to identify plant cell wall variations by Fourier Transform Near Infrared spectroscopy
- Author(s): Smith-Moritz, Andreia M;
- Chern, Mawsheng;
- Lao, Jeemeng;
- Sze-To, Wing;
- Heazlewood, Joshua L;
- Ronald, Pamela C;
- Vega-Sánchez, Miguel E
- et al.
Published Web Locationhttp://dx.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.