A rapid and consistent near infrared spectroscopic assay for biomass enzymatic digestibility upon various physical and chemical pretreatments in Miscanthus
A rapid and consistent near infrared spectroscopic assay for biomass enzymatic digestibility upon various physical and chemical pretreatments in Miscanthus
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DOI：
10.1016/j.biortech.2012.06.015
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发表时间：
2012-10-01
影响因子：
11.4
通讯作者：
Peng, Liangcai
中科院分区：
文献类型：
--
作者：
Huang, Jiangfeng;Xia, Tao;Peng, Liangcai
近红外光谱 (NIRS) 已广泛应用于生物成分和特性分析的快速分析。然而，近红外光谱 (NIRS) 仍然无法用于深入分析植物的生物量消化率。在本研究中，利用 NIRS 测定了 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。深入评估表明校准集和验证集具有可比性。利用改进的偏最小二乘法，生成了7个最佳方程，校准决定系数(R-2)为0.75-0.89，交叉验证(R(2)cv)为0.69-0.87，比率性能偏差(RPD)为1.80-2.74，为不同预处理下生物质消化率的NIRS预测提供了多种选择。由于生物质消化率是生物燃料加工的关键参数，因此 NIRS 是对植物中生物质样品进行高通量筛选的强大工具。 (C) 2012 Elsevier Ltd. 保留所有权利。
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(2)cv) 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. (C) 2012 Elsevier Ltd. All rights reserved.