Center for Environmental Research and Technology, University of California Riverside, 92507, USA.
Biotechnol Bioeng. 2011 Feb;108(2):306-12. doi: 10.1002/bit.22937.
Conventional wet chemistry methods to determine biomass composition are labor- and time-intensive and require larger amounts of biomass (300 mg) than is often available. To overcome these limitations and to support a high-throughput pretreatment and hydrolysis (HTPH) screening system, this article reports on the development of a downscaled biomass compositional analysis that is based on conventional wet chemistry techniques but is scaled down by a factor of 100 to use significantly less material. The procedure is performed in readily available high-performance liquid chromatography vials and can be automated to reduce operator input and increase throughput. Comparison of the compositional analyses of three biomasses determined by the downscaled approach to those obtained by conventional methods showed that the downscaled method measured statistically identical carbohydrate compositions as standard procedures and also can provide reasonable estimates of lignin and ash contents. These results demonstrate the validity of the downscaled procedure for measuring biomass composition to enable the calculation of sugar yields and determination of trends in sugar release behavior in HTPH screening studies.
传统的湿化学方法来测定生物质组成是劳动密集型和耗时的，需要比通常可用的更多量的生物质（300 毫克）。为了克服这些限制，并支持高通量预处理和水解（HTPH）筛选系统，本文报道了一种基于传统湿化学技术的小型化生物质成分分析方法的开发，但规模缩小了 100 倍，使用的材料明显减少。该程序在现成的高效液相色谱小瓶中进行，可以自动化，以减少操作人员的输入并增加吞吐量。通过与传统方法相比，对三种生物质的组成分析进行比较，结果表明，按比例缩小的方法测量的碳水化合物组成在统计学上与标准程序相同，并且还可以对木质素和灰分含量进行合理估计。这些结果证明了按比例缩小的程序用于测量生物质组成的有效性，以能够计算糖产率并确定 HTPH 筛选研究中糖释放行为的趋势。
