藏药材石榴籽超临界CO_2萃取成分的GC-MS分析

目的：用新方法提取藏药材石榴籽油,并对其进行化学成分分析,为石榴籽的药理研究和应用提供实验依据。方法：采用超临界CO_2萃取方法提取石榴籽的可溶性成分,并用气相色谱-质谱联用法对提取部位进行化学成分分析,峰面积归一化法计算各组分的相对含量。结果：共分离鉴定了10种化合物,主要成分含量为亚油酸40.0%、油酸22.7%、棕榈酸17.5%、硬脂酸9.0%及共轭亚油酸5.7%。结论：藏药材石榴籽的主要化学成分为亚油酸和油酸,两者含量共占全部提取物的62.7%。

藏药蕨麻油脂化合物的GC-MS分析

蕨麻,藏医谓之卓老沙曾,原植物为蔷薇科委陵菜属鹅绒委陵菜Potentilla anserine L.,为多年生草本.在高海拔地区蕨麻根的中下部形成块根,在温暖低平地区不形成膨大的块根[1].蕨麻全草入药,收敛止血,止咳利痰,治各种出血及下痢.块根入药,有健脾益胃、生津止渴、益气补血功效;治脾虚、腹泻、产后贫血、营养不良等症[2].

3种绿绒蒿挥发油化学成分的GC-MS分析

目的 分析全缘叶绿绒蒿、五脉绿绒蒿和多刺绿绒蒿挥发油的化学成分.方法 采用水蒸气蒸馏法获得挥发油,经GC-MS技术结合计算机检索对其化学成分进行分离和鉴定,用色谱峰面积归一化法计算各组峰的相对含量.结果 从全缘叶绿绒蒿、五脉绿绒蒿和多刺绿绒蒿的挥发油中分别鉴定了25,42和53个化合物,占其各自总量的80.76%,73.34%和76.10%.结论 3种绿绒蒿挥发油化学成分存在一定程度的差异,但其主要成分都为酯类物质

唐古特白刺籽油的超临界CO_2流体萃取及GC／MS分析

利用超临界CO_2萃取唐古特白刺籽油，并对籽油进行了GC／MS分析。实验确定的最佳超临界CO_2流体萃取条件是:萃取温度45℃，萃取压力20 MPa，CO_2流量为35-40 kg／h，萃取时间120min，在此条件下白刺籽油的萃取率为15.11％。利用GC／MS对白刺籽油分析，发现其不饱和脂肪酸的相对含量高达93.37％。比较了超临界CO_2萃取白刺籽油油样和石油醚萃取白刺籽油油样的理化性质，发现超临界CO_2流体萃取的籽油质量优于传统溶剂萃取的籽油。

超临界CO2萃取灵芝孢子油的GC／MS分析

采用超临界CO2萃取破壁灵芝孢子，萃取条件22MPa，40℃，将所得的孢子油，经GC／MS定性和定量分析，共检出18种脂肪酸成分，其中亚油酸和油酸占62．45％，不饱和脂肪酸占68．42％。

GC-MS Peak Labeling Under ArMet

Jenkins, H., Beckmann, M., Draper, J., & Hardy, N. (2007). GC-MS Peak Labeling Under ArMet. Nikolau, B. J., & Wurtele, E. S. (Eds.), In: Concepts in Plant Metabolomics. (pp. 19-28). Dordrecht: Springer. Sponsorship: The authors gratefully acknowledge the United Kingdom Food Standards Agency (under the G02006 project) for support of their work in metabolomics.

Wide-ranging alterations in the brain fatty acid complement of subjects with late Alzheimer’s disease as detected by GC-MS

Disturbed lipid metabolism is a well-established feature of human Alzheimer’s disease (AD). The present study used gas chromatography-mass spectrometry (GC-MS) analysis of fatty acid methyl esters (FAMES) to profile all detectable fatty acid (FA) species present in post-mortem neocortical tissue (Brodmann 7 region). Quantitative targeted analysis was undertaken from 29 subjects (n=15 age-matched controls; n=14 late-stage AD). GC-MS analysis of FAMES detected a total of 24 FAs and of these, 20 were fully quantifiable. The results showed significant and wide ranging elevations in AD brain FA concentrations. A total of 9 FAs were elevated in AD with cis-13,16-docosenoic acid increased most (170%; P=0.033). Intriguingly, docosahexanoic acid (DHA; C22:6) concentrations were elevated (47%; P=0.018) which conflicts with the findings of others (unaltered or decreased) in some brain regions after the onset of AD. Furthermore, our results appear to indicate that subject gender influences brain FA levels in AD subjects (but not in age-matched control subjects). Among AD subjects 7 FA species were significantly higher in males than in females. These preliminary findings pinpoint FA disturbances as potentially important in the pathology of AD. Further work is required to determine if such changes are influenced by disease severity or different types of dementia.