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首页> 外文期刊>Bioenergy research >Rapid Determination of Both Structural Polysaccharides and Soluble Sugars in Sorghum Biomass Using Near-Infrared Spectroscopy
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Rapid Determination of Both Structural Polysaccharides and Soluble Sugars in Sorghum Biomass Using Near-Infrared Spectroscopy

机译：近红外光谱法快速测定高粱生物质中的结构多糖和可溶性糖

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摘要

The compositional analysis of numerous cellulosic biomass for genetic screening and process development needs an efficient, rapid, and low-cost method. Near-infrared spectroscopy as well as chemometric analysis was successfully used for compositional analysis of sorghum biomass in this study. Model development was performed with hundreds of sorghum accessions with a diverse composition distribution. Both structural polysaccharides and soluble sugars were investigated as sorghum contains a significant amount of soluble sugars. Model evaluation suggested that the coefficients of determination (r2) for soluble sugars were greater than or equal to 0.90 and showed excellent prediction performance. For structural polysaccharides, the glucan model is able to provide reliable prediction with r2 of 0.87 and ratio of standard deviation of calculated set to root mean square error of prediction (RPD) of 3.13, whereas the xylan model could be used for approximate screening with r2 of 0.78 and RPD of 2.82.
机译：用于遗传筛选和工艺开发的众多纤维素生物质的成分分析需要一种有效，快速且低成本的方法。在本研究中，近红外光谱和化学计量分析已成功用于高粱生物量的成分分析。用数百种具有不同组成分布的高粱种进行了模型开发。由于高粱中含有大量的可溶性糖，因此对结构多糖和可溶性糖均进行了研究。模型评估表明，可溶性糖的测定系数（r2）大于或等于0.90，并显示出出色的预测性能。对于结构多糖，葡聚糖模型能够提供可靠的预测，r2为0.87，计算集的标准偏差与预测的均方根误差（RPD）的比值为3.13，而木聚糖模型可用于r2的近似筛选为0.78，RPD为2.82。

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  • 来源
    《Bioenergy research》 |2015年第1期|130-136|共7页
  • 作者

    Feng Xu; Ling Zhou; Ke Zhang; Jianming Yu; Donghai Wang;

  • 作者单位

    1.Department of Biological and Agricultural Engineering Kansas State University Manhattan KS 66506 USA;

    1.Department of Biological and Agricultural Engineering Kansas State University Manhattan KS 66506 USA 2.College of Mechanic and Electrical Engineering Tarim University Alar 843300 Xinjiang People’s Republic of China;

    1.Department of Biological and Agricultural Engineering Kansas State University Manhattan KS 66506 USA;

    3.Department of Agronomy Iowa State University Ames IA 50011 USA;

    1.Department of Biological and Agricultural Engineering Kansas State University Manhattan KS 66506 USA;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Sorghum Composition analysis Near-infrared Chemometric analysis;

    机译：高粱成分分析近红外化学计量分析;

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