GC-MS fingerprints for discrimination of Ligusticum chuanxiong from Angelica | |
Yang, Baijuan1; Chen, Junhui1,2; Lee, Frank Sen-Chun1; Wang, Xiaoru1,3,4 | |
刊名 | JOURNAL OF SEPARATION SCIENCE
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2008-10 | |
卷号 | 31期号:18页码:3231-3237 |
关键词 | Angelica GC-MS GC-MS fingerprinting analysis Herb authentication Ligusticum chuanxiong Hort |
ISSN号 | 1615-9306 |
DOI | 10.1002/jssc.200800332 |
英文摘要 | A GC-MS fingerprinting technique based on the essential oil components has been developed for the discrimination of chuanxiong against Chinese Angelica (Angelica siueusis (Oliv.) Diels) or other herbs with similar compositions. The analytical performance of four different extraction methods for the separation of essential oil components have been compared and these include: ultrasound-assisted extraction (UAE), supercritical fluid extraction (SFE), Soxhlet extraction (SHE) and hydro-distillation extraction (HDE). The results showed that UAE was the most effective extraction method, and the operational parameters of UAE were optimized. 3-Butylphthalide, Z-butylidenephthalide, senkyunolide I, senkyunolide H, E-butylidenephthalide, senkyunolide A, neocnidilide, Z-Iigustilide and E-ligustilide were tentatively identified in chromatograms of chuanxiong based on their GC-EI-MS data. Similarity coefficient calculations based on correlation methods have been performed on the GC-MS fingerprints. Using an authentic standard Chuanxiong as the reference, the similarity coefficients between the standard and all other chuanxiong samples ranged from 0.90 to 1.0 (with 1.0 being the perfect match), which as a group can be readily separated from the Angelica samples for which the similarity index against the chuanxiong standard ranged from 0.75 to 0.77. Conversely, when an authentic Angelica standard was used as the reference, the respective similarity coefficients fall in the range of 0.70-0.75 and 0.98-1.00 for the chuanxiong and Angelica sample groups. Our results thus demonstrate that the fingerprinting technique developed in the study can indeed discriminate the two herbs with high reliability. |
电子版国际标准刊号 | 16159314 |
资助项目 | Nature Science Foundation of China[20235020] |
WOS研究方向 | Chemistry |
语种 | 英语 |
出版者 | WILEY-V C H VERLAG GMBH |
WOS记录号 | WOS:000259973700012 |
内容类型 | 期刊论文 |
源URL | [http://ir.fio.com.cn/handle/2SI8HI0U/4463] ![]() |
专题 | 业务部门_海洋生态研究中心 |
作者单位 | 1.First Inst Oceanog SOA, QingDao Key Lab Analyt Technol Dev & Standardizat, Qingdao 266061, Peoples R China; 2.Ocean Univ China, Coll Chem & Chem Engn, Qingdao 266003, Peoples R China; 3.Xiamen Univ, Dept Chem, Xiamen 361005, Peoples R China; 4.Xiamen Univ, Key Lab Analyt Sci MOE, Coll Chem & Chem Engn, Xiamen 361005, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Baijuan,Chen, Junhui,Lee, Frank Sen-Chun,et al. GC-MS fingerprints for discrimination of Ligusticum chuanxiong from Angelica[J]. JOURNAL OF SEPARATION SCIENCE,2008,31(18):3231-3237. |
APA | Yang, Baijuan,Chen, Junhui,Lee, Frank Sen-Chun,&Wang, Xiaoru.(2008).GC-MS fingerprints for discrimination of Ligusticum chuanxiong from Angelica.JOURNAL OF SEPARATION SCIENCE,31(18),3231-3237. |
MLA | Yang, Baijuan,et al."GC-MS fingerprints for discrimination of Ligusticum chuanxiong from Angelica".JOURNAL OF SEPARATION SCIENCE 31.18(2008):3231-3237. |
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