NWIPB OpenIR
Supercritical CO2 oil extraction from Chinese star anise seed and simultaneous compositional analysis using HPLC by fluorescence detection and online atmospheric CI-MS identification
Li, Guoliang ; Sun, Zhiwei ; Xia, Lian ; Shi, Junyou ; Liu, Yongjun ; Suo, Yourui ; You, Jinmao
2010-08-30
发表期刊JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE ; Jinmao You.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,2010,90(11):1905-1913
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.; 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.
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/41178
专题中国科学院西北高原生物研究所
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, Jinmao You.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,2010,90(11):1905-1913,2010.
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.
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 (2010).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Guoliang]的文章
[Sun, Zhiwei]的文章
[Xia, Lian]的文章
百度学术
百度学术中相似的文章
[Li, Guoliang]的文章
[Sun, Zhiwei]的文章
[Xia, Lian]的文章
必应学术
必应学术中相似的文章
[Li, Guoliang]的文章
[Sun, Zhiwei]的文章
[Xia, Lian]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。