SUBMITTED SAMPLES FOR THE GREAT LAKES BIOENERGY CENTER

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 研究中心，而研究中心不一定是研究者所在的机构。 为了增加生物燃料对美国能源组合的贡献，五大湖生物能源中心（GLBRC）将进行研究，以消除生物燃料管道中的瓶颈。这一过程涉及改善生物质植物的特性，植物生物质的加工以及改善我们将生物质转化为能源产品的方式。为了实现这些目标，GLBRC将部署基于高通量NMR的代谢组学，以帮助开发可能参与生物燃料生产的相关酶、途径和网络的模型。 与化石燃料不同，生物燃料主要由光合植物生产，因此它是一种碳中性和可持续的能源形式。 如何有效地将木质纤维素分解成可发酵的碳水化合物单体和低聚物是经济地生产纤维素乙醇或其他生物能源产品的瓶颈。 我们应用溶液核磁共振技术对柳枝稷及其不同部位的生物量含量变化进行了监测。同时，酶解是一种有效的植物材料解聚技术。 结合MMCD数据库和核磁共振软件技术，建立了一个预测玉米秸秆酶解产物的模型。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. To increase the contribution of biofuels to the US energy portfolio, the Great Lakes Bioenergy Center (GLBRC) will conduct research to remove bottlenecks in the biofuel pipeline. This process involves improving characteristics of biomass plants, processing of plant biomass and improving how we convert biomass into energy products. In part to achieve these goals, the GLBRC will deploy high-throughput NMR based metabolomics to help develop models for relevant enzymes, pathways and networks that may be involved in biofuel production. Unlike fossil fuel, biofuel is produced mostly from photosynthetic plants, therefore it is a carbon neutral and sustainable energy form. How to efficiently breakdown lignocelluloses into fermentable carbohydrate monomers and oligomers is the bottleneck of economically producing cellulosic ethanol or other bioenergy products. We apply solution NMR to various switchgrass and their different fraction to monitor biomass content changes. Meanwhile, enzymatic hydrolysis is an efficient technique for depolymerization of plant material. We present a model of predicting the enzyme products of cornstalk by employing various 1D and 2D NMR combining with our MMCD database and R-NMR software techniques.