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首页> 外文期刊>Journal of Agricultural and Food Chemistry >Compositional Analysis of Lignoceilulosic Feedstocks. 2. Method Uncertainties
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Compositional Analysis of Lignoceilulosic Feedstocks. 2. Method Uncertainties

机译：木质纤维素原料的成分分析。 2.方法的不确定性

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The most common procedures for characterizing the chemical components of lignoceilulosic feedstocks use a two-stage sulfuric acid hydrolysis to fractionate biomass for gravimetric and instrumental analyses. The uncertainty (i.e., dispersion of values from repeated measurement) in the primary data is of general interest to those with technical or financial interests in biomass conversion technology. The composition of a homogenized corn stover feedstock (154 replicate samples in 13 batches, by 7 analysts in 2 laboratories) was measured along with a National Institute of Standards and Technology (NIST) reference sugar cane bagasse, as a control, using this laboratory's suite of laboratory analytical procedures (LAPs). The uncertainty was evaluated by the statistical analysis of these data and is reported as the standard deviation of each component measurement. Censored and uncensored versions of these data sets are reported, as evidence was found for intermittent instrumental and equipment problems. The censored data are believed to represent the "best case" results of these analyses, whereas the uncensored data show how small method changes can strongly affect the uncertainties of these empirical methods. Relative standard deviations (RSD) of 1-3% are reported for glucan, xylan, lignin, extractives, and total component closure with the other minor components showing 4-10% RSD. The standard deviations seen with the corn stover and NIST bagasse materials were similar, which suggests that the uncertainties reported here are due more to the analytical method used than to the specific feedstock type being analyzed.
机译：表征木质纤维素原料化学成分的最常用程序是使用两步硫酸水解法对生物质进行分馏，以进行重量分析和仪器分析。原始数据中的不确定性（即，重复测量值的分散）对于那些在生物质转化技术中具有技术或财务利益的人来说，具有普遍意义。使用该实验室套件，测量了均质玉米秸秆原料的组成（13个批次的154个重复样品，由2个实验室的7位分析师进行了测量），并以美国国家标准技术研究院（NIST）的参考甘蔗渣为对照进行了测量。实验室分析程序（LAP）。通过对这些数据进行统计分析来评估不确定度，并记录为每个组件测量的标准偏差。报告了这些数据集的经过审查和未经审查的版本，因为发现了间歇性的仪器和设备问题的证据。审查数据被认为代表了这些分析的“最佳案例”结果，而未经审查的数据表明方法的微小改变会严重影响这些经验方法的不确定性。葡聚糖，木聚糖，木质素，提取物和总组分封闭度的相对标准偏差（RSD）为1-3％，其他次要组分的RSD为4-10％。玉米秸秆和NIST蔗渣材料的标准偏差相似，这表明此处报告的不确定性更多是由于所使用的分析方法而不是所分析的特定原料类型所致。

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