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Wolverhampton Intellectual Repository and E-Theses > Research Institutes > Research Institute in Healthcare Science > Molecular Pharmacology Research Group > Study on Angelica and its different extracts by Fourier transform infrared spectroscopy and two-dimensional correlation IR spectroscopy.

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/9832
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Title: Study on Angelica and its different extracts by Fourier transform infrared spectroscopy and two-dimensional correlation IR spectroscopy.
Authors: Liu, Hong-xia
Sun, Su-qin
Lu, Guang-Hua
Chan, Kelvin C.
Citation: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 64(2): 321-326
Publisher: Elsevier
Issue Date: 2006
URI: http://hdl.handle.net/2436/9832
DOI: 10.1016/j.saa.2005.07.026
PubMed ID: 16386456
Additional Links: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VNG-4HX47S7-2&_user=1644469&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000054077&_version=1&_urlVersion=0&_userid=1644469&md5=96b2744837e2c0202a570ef1599391f7
Abstract: In order to develop a rapid and effective analysis method for studying integrally the main constituents in the medicinal materials and their extracts, discriminating the extracts from different extraction process, comparing the categories of chemical constituents in the different extracts and monitoring the qualities of medicinal materials, we applied Fourier transform infrared spectroscopy (FT-IR) associated with second derivative infrared spectroscopy and two-dimensional correlation infrared spectroscopy (2D-IR) to study the main constituents in traditional Chinese medicine Angelica and its different extracts (extracted by petroleum ether, ethanol and water in turn). The findings indicated that FT-IR spectrum can provide many holistic variation rules of chemical constituents. Use of the macroscopical fingerprint characters of FT-IR and 2D-IR spectrum can not only identify the main chemical constituents in medicinal materials and their different extracts, but also compare the components differences among the similar samples. This analytical method is highly rapid, effective, visual and accurate for pharmaceutical research.
Type: Article
Language: en
Keywords: Angelica
Fourier transform infrared spectroscopy
FT-IR
Chinese medicine
ISSN: 1386-1425
Appears in Collections: Molecular Pharmacology Research Group

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