GC-MS fingerprints for discrimination of Ligusticum chuanxiong from Angelica

doi:10.1002/jssc.200800332

	GC-MS fingerprints for discrimination of Ligusticum chuanxiong from Angelica
	Yang, Baijuan 1; Chen, Junhui 1,2; Lee, Frank Sen-Chun 1; Wang, Xiaoru 1,3,4
刊名	JOURNAL OF SEPARATION SCIENCE
	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.
资助项目	Nature Science Foundation of China[20235020]
WOS关键词	PERFORMANCE LIQUID-CHROMATOGRAPHY ; MEDICINAL-PLANTS ; EXTRACTION ; SINENSIS ; OIL ; OPTIMIZATION ; GINSENOSIDES
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:8080/handle/2SI8HI0U/27525]
专题	自然资源部第一海洋研究所
通讯作者	Wang, Xiaoru
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.