MODULATING PLANT CAROTENOID LEVELS
    5.
    发明申请
    MODULATING PLANT CAROTENOID LEVELS 审中-公开
    调节植物毛细血管水平

    公开(公告)号:US20110113508A1

    公开(公告)日:2011-05-12

    申请号:US12377778

    申请日:2007-08-20

    IPC分类号: C12N15/82 C12N15/29

    CPC分类号: C12N15/825

    摘要: Methods and materials for modulating (e.g., increasing or decreasing) carotenoid levels in plants are disclosed. For example, nucleic acids encoding carotenoid-modulating polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased carotenoid levels and plant products produced from plants having increased carotenoid levels.

    摘要翻译: 公开了用于调节(例如增加或减少)植物中类胡萝卜素水平的方法和材料。 例如,公开了编码类胡萝卜素调节多肽的核酸以及使用这种核酸来转化植物细胞的方法。 还公开了具有增加的类胡萝卜素水平的植物和由具有增加的类胡萝卜素水平的植物产生的植物产品。

    MATERIAL AND METHODS FOR USE IN BIOMASS PROCESSING
    7.
    发明申请
    MATERIAL AND METHODS FOR USE IN BIOMASS PROCESSING 有权
    用于生物量处理的材料和方法

    公开(公告)号:US20110087470A1

    公开(公告)日:2011-04-14

    申请号:US12740941

    申请日:2008-10-31

    摘要: Methods and materials for measuring the composition of plant biomass and predicting the efficiency of conversion of such biomass to various end products under various processing conditions are disclosed. For example, methods and materials for identifying plant material having higher levels of accessible carbohydrate, as well as materials and methods for processing plant material having higher levels of accessible carbohydrate are disclosed. Also disclosed are computer-implemented methods and systems that provide improved economic efficiencies to biorefineries.

    摘要翻译: 公开了用于测量植物生物量的组成并预测在各种加工条件下将这种生物质转化成各种最终产品的效率的方法和材料。 例如,公开了用于鉴定具有较高水平的可接近的碳水化合物的植物材料的方法和材料,以及用于处理具有较高水平的可接近的碳水化合物的植物材料的材料和方法。 还公开了为生物炼制提供改进的经济效率的计算机实现的方法和系统。

    Method for predicting the amount of accessible carbohydrate in a feedstock sample using a near-infrared model
    8.
    发明授权
    Method for predicting the amount of accessible carbohydrate in a feedstock sample using a near-infrared model 有权
    使用近红外模型预测原料样品中可及碳水化合物量的方法

    公开(公告)号:US08489340B2

    公开(公告)日:2013-07-16

    申请号:US12740941

    申请日:2008-10-31

    IPC分类号: G01N31/00

    摘要: The present invention is directed to a method of using a near-infrared (NIR) model to predict the amount of accessible carbohydrate material in a feedstock sample. The NIR model is generated by subjecting a set of biomass calibration feedstock samples to near infrared spectroscopy which produces NIR spectroscopic data, measuring the chemical compositions of each said calibration feedstock sample by wet chemical techniques, and measuring the total amount of monosaccharides and disaccharides solubilized by each said calibration feedstock sample after processing under a defined pretreatment condition or defined enzyme load condition. The method is then applied to NIR spectral data obtained from a test feedstock sample to predict the amount of accessible carbohydrate material in the test feedstock sample.

    摘要翻译: 本发明涉及使用近红外(NIR)模型来预测原料样品中可接近的碳水化合物材料的量的方法。 NIR模型通过使一组生物质校准原料样品进行近红外光谱,产生近红外光谱数据,通过湿化学技术测量每个所述校准原料样品的化学成分,并测量通过湿化学技术溶解的单糖和二糖总量 每个所述校准原料样品在规定的预处理条件或确定的酶负载条件下处理后。 然后将该方法应用于从测试原料样品获得的NIR光谱数据,以预测测试原料样品中可接近的碳水化合物材料的量。