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US08489340B2 Method for predicting the amount of accessible carbohydrate in a feedstock sample using a near-infrared model 有权
使用近红外模型预测原料样品中可及碳水化合物量的方法

Method for predicting the amount of accessible carbohydrate in a feedstock sample using a near-infrared model
Abstract:
The present invention is directed to a method of using a near-infrared (NIR) model to predict the amount of accessible carbohydrate material in a feedstock sample. The NIR model is generated by subjecting a set of biomass calibration feedstock samples to near infrared spectroscopy which produces NIR spectroscopic data, measuring the chemical compositions of each said calibration feedstock sample by wet chemical techniques, and measuring the total amount of monosaccharides and disaccharides solubilized by each said calibration feedstock sample after processing under a defined pretreatment condition or defined enzyme load condition. The method is then applied to NIR spectral data obtained from a test feedstock sample to predict the amount of accessible carbohydrate material in the test feedstock sample.
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