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首页> 外文期刊>Bioresource Technology: Biomass, Bioenergy, Biowastes, Conversion Technologies, Biotransformations, Production Technologies >A rapid and consistent near infrared spectroscopic assay for biomass enzymatic digestibility upon various physical and chemical pretreatments in Miscanthus
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A rapid and consistent near infrared spectroscopic assay for biomass enzymatic digestibility upon various physical and chemical pretreatments in Miscanthus

机译:快速,一致的近红外光谱测定的芒草各种物理和化学预处理生物量酶消化率。

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摘要

Near infrared spectroscopy (NIRS) has been broadly applied as a quick assay for biological component and property analysis. However, NIRS remains unavailable for in-depth analysis of biomass digestibility in plants. In this study, NIRS was used to determine biomass enzymatic digestibility using 199 Miscanthus samples, which represents a rich germplasm resource and provides for a stable calibration model. The intensive evaluation indicates that the calibration and validation sets are comparable. Using the modified partial least squares method, seven optimal equations were generated with high determination coefficient on calibration (R ~2) at 0.75-0.89, cross-validation (R ~2cv) at 0.69-0.87, and the ratio performance deviation (RPD) at 1.80-2.74, which provide multiple options for NIRS prediction of biomass digestibility under different pretreatments. As biomass digestibility is a crucial parameter for biofuel processing, NIRS is a powerful tool for the high-throughput screening of biomass samples in plants.
机译:近红外光谱(NIRS)已被广泛用作生物学成分和性质分析的快速测定法。但是,NIRS仍然无法用于深入分析植物中的生物质消化率。在这项研究中,NIRS用于测定199个芒草样品的生物质酶消化率,这代表了丰富的种质资源并提供了稳定的校准模型。深入评估表明,校准和验证集具有可比性。使用改进的偏最小二乘方法,生成了七个最佳方程,这些方程的校正系数高(R〜2)在0.75-0.89时,交叉验证(R〜2cv)在0.69-0.87时,比率性能偏差(RPD)为1.80-2.74,这为NIRS在不同预处理条件下预测生物质的消化率提供了多种选择。由于生物质的消化率是生物燃料加工的关键参数,因此NIRS是用于高通量筛选植物中生物质样品的强大工具。

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