应用文献

Characterizing Phytochemicals in Camelina Seed Meal by LC-MSN


领域:细胞生物学,微生物,生理生态,分子生物学,蛋白/抗体/蛋白质组,基因/基因组/测序,多组学/蛋白质组/代谢组/脂质组,其他生命科学,粮油及淀粉豆制品等制品,动物性食品及其制品,蔬菜/水果/蜜饯/酱腌菜等制品,饮用水及饮料,酒类,蜂产品,特殊食品,其他食品,食品有机污染物,重金属,环境水/废水/饮用水,空气/废气,土壤,固体废物/辐射/噪声/振动,二噁英/POPs,煤炭,其它,原料药/中间体,化学药,中药/天然产物,生物制药/仿制药,药品包装材料/辅料,兽用药,化妆品,药物代谢,其他,原油,汽油/柴油/重油,可再生生物油,橡胶,塑料,纤维,涂料,化工试剂/助剂,日用化学品,农药,地矿/钢铁/有色金属,电子/电器/半导体,建材/家具,纺织/印染/服装/皮革,玩具/文体用品,汽车/铁路/船舶/交通,航空/航天,机械设备,纳米材料,高分子材料,生物质材料,法医,临床生物化学/分子生物学,临床微生物学,临床免疫学,临床血液与检验学,分子诊断和芯片,转化医学,手持/便携设备,移动实验室相关,试纸/试剂盒,烟草,乳制品和蛋制品,保健品,调味品,烘培糕点/饼干/膨化/方便食品,罐头冷冻速冻类食品,糖果果冻巧克力可可咖啡类,婴幼儿及其他配方谷粉产品,炒货食品及坚果制品类,水产加工品,微生物和致病菌,饲料    样品:有机物    项目:有机物    参考:有机物   

  LC-MS analyses were performed on an extract of defatted camelina seed meal to determine identification of the chemical composition.

  Through peak shape calibration and spectral accuracy calculation, the potential chemical formulas were prioritized.

  Identification of several chemicals in the extract was achieved by a combination of MS-MS-MS fragmentation analysis and spectral accuracy calculation.



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