中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Supercritical CO2 oil extraction from Chinese star anise seed and simultaneous compositional analysis using HPLC by fluorescence detection and online atmospheric CI-MS identification

文献类型:期刊论文

作者Li, Guoliang1,2; Sun, Zhiwei1,2; Xia, Lian1,2; Shi, Junyou1,2; Liu, Yongjun1; Suo, Yourui1; You, Jinmao1
刊名journal of the science of food and agriculture
出版日期2010-08-30
卷号90期号:11页码:1905-1913
关键词Chinese star anise seed oil supercritical CO2 fluid extraction response surface methodology fatty acids HPLC/APCI/MS
ISSN号0022-5142
中文摘要background: supercritical co2 was utilized to extract chinese star anise seed oil (csaso), and three levels box–behnken factorial design (bbd) from response surface methodology (rsm) was applied to optimize the extraction conditions including pressure, temperature and amount of modifier (ethanol). the compositional analysis of fatty acids in csaso was performed by hplc with fluorescence detection using 2-(11h-benzo[a]carbazol-11-yl)-ethyl-4-methylbenzenesulfonate (bcets) as labeling reagent. identification was carried out by online atmospheric chemical ionization-mass spectrometry (apci/ms). results: the optimum extraction conditions were as follows: extraction pressure, 27.72 mpa; extraction temperature, 46.22°c; and amount of modifier, 8.58 vol. %. the experimental result showed that the maximum extraction yield was 25.31± 0.22% (w/w) under the conditions proposed. the compositional analysis indicated that csaso mainly contained c18:2, c18:1, c18:3, c20:4, c16, c18 and c20 fatty acid. conclusion: in this study, a fast, simple, and high-efficiency supercritical technique for extracting oil from chinese star anise seed was developed. simultaneous determination of fatty acids in csaso using bcets as labeling reagent with hplc fluorescence detection and on-line ms identification has been successfully achieved.
英文摘要background: supercritical co2 was utilised to extract chinese star anise seed oil (csaso), and a three-level box - behnken factorial design from response surface methodology was applied to optimise the extraction conditions, including pressure, temperature and amount of modifier (ethanol). the compositional analysis of fatty acids in csaso was performed by hplc with fluorescence detection using 2-(11h-benzo[a]carbazol-11-yl)-ethyl-4-methylbenzenesulfonate (bcets) as labelling reagent. identification was carried out by online atmospheric chemical ionisation-mass spectrometry.
WOS标题词science & technology ; life sciences & biomedicine ; physical sciences
类目[WOS]agriculture, multidisciplinary ; chemistry, applied ; food science & technology
研究领域[WOS]agriculture ; chemistry ; food science & technology
关键词[WOS]verum-hook.-f ; carbon-dioxide ; fatty-acids ; optimization ; pollen
收录类别SCI
语种英语
WOS记录号WOS:000280482900018
公开日期2011-12-14
源URL[http://ir.nwipb.ac.cn//handle/363003/2236]  
专题西北高原生物研究所_中国科学院西北高原生物研究所
作者单位1.Chinese Acad Sci, NW Plateau Inst Biol, Xining 810001, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714
Li, Guoliang,Sun, Zhiwei,Xia, Lian,et al. Supercritical CO2 oil extraction from Chinese star anise seed and simultaneous compositional analysis using HPLC by fluorescence detection and online atmospheric CI-MS identification[J]. journal of the science of food and agriculture,2010,90(11):1905-1913.
APA Li, Guoliang.,Sun, Zhiwei.,Xia, Lian.,Shi, Junyou.,Liu, Yongjun.,...&You, Jinmao.(2010).Supercritical CO2 oil extraction from Chinese star anise seed and simultaneous compositional analysis using HPLC by fluorescence detection and online atmospheric CI-MS identification.journal of the science of food and agriculture,90(11),1905-1913.
MLA Li, Guoliang,et al."Supercritical CO2 oil extraction from Chinese star anise seed and simultaneous compositional analysis using HPLC by fluorescence detection and online atmospheric CI-MS identification".journal of the science of food and agriculture 90.11(2010):1905-1913.

入库方式: OAI收割

来源:西北高原生物研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。