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Predicting digestibility of Ammonia Fiber Explosion (AFEX) treated rice straw.

机译:预测用氨纤维爆炸(AFEX)处理过的稻草的消化率。

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We modeled the enzymatic digestibility of the Ammonia Fiber Explosion (AFEX) treated rice straw by statistically correlating the variability of the samples to differences in treatment using several different analytical techniques. Lignin content and crystallinity of cellulose affect enzymatic hydrolysis the most. X-ray diffraction was used to measure the crystallinity index while fluorescence and diffuse reflectance infrared (DRIFT) spectroscopy measured the lignin content of the samples. Multivariate analysis was applied to correlate the sugar yields of the various samples with x-ray diffraction and spectroscopic data. Principal Component Analysis (PCA) and multi-linear regression (MLR) techniques could not predict the digestibility of the rice straw samples. The best correlation (R2 value of 0.6) was found between the initial treatment conditions of the AFEX process and the concentration of xylose at 24 hours after enzymatic hydrolysis.
机译:我们通过使用几种不同的分析技术,通过统计将样品的变异性与处理差异进行统计相关性,对氨纤维爆炸(AFEX)处理过的稻草进行了酶消化率建模。纤维素的木质素含量和结晶度对酶水解影响最大。 X射线衍射用于测量结晶度,而荧光和漫反射红外(DRIFT)光谱用于测量样品中的木质素含量。应用多变量分析将各种样品的糖产量与X射线衍射和光谱数据相关联。主成分分析(PCA)和多元线性回归(MLR)技术无法预测稻草样品的消化率。在AFEX工艺的初始处理条件与酶水解后24小时的木糖浓度之间发现最佳相关性(R2值为0.6)。

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