Knowledge Management System of Northwest Institute of Plateau Biology, CAS
| 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, Guoliang1,2; Sun, Zhiwei1,2; Xia, Lian1,2; Shi, Junyou1,2; Liu, Yongjun1; Suo, Yourui1; You, Jinmao1 | |
| 2010-08-30 | |
| 发表期刊 | JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
 |
| ISSN | 0022-5142 |
| 卷号 | 90期号:11页码:1905-1913 |
| 文章类型 | Article |
| 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. |
| 关键词 | Chinese Star Anise Seed Oil Supercritical Co2 Fluid Extraction Response Surface Methodology Fatty Acids Hplc/apci/ms |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
| 关键词[WOS] | VERUM-HOOK.-F ; CARBON-DIOXIDE ; FATTY-ACIDS ; OPTIMIZATION ; POLLEN |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Agriculture ; Chemistry ; Food Science & Technology |
| WOS类目 | Agriculture, Multidisciplinary ; Chemistry, Applied ; Food Science & Technology |
| WOS记录号 | WOS:000280482900018 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://210.75.249.4/handle/363003/2236 |
| 专题 | 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. |
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