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Chromatography 2016
September 21-23, 2016
Volume 7, Issue 5(Suppl) J Chromatogr Sep Tech 2016
ISSN: 2157-7064 JCGST, an open access journal
conferenceseries .com
September 21-23, 2016 Amsterdam, Netherlands
World Congress on Chromatography
Rapid identification of anti-inflammatory active ingredients from Tumuxiang based on spectrum-
effect relationship and natural products application solution with UNIFI
Fangdi Hu and Xia Gao
Lanzhou University, P R China
Traditional Chinese medicines (TCMs) have been playing a very important role in health protection and disease control
for thousands of years. However, the low efficiency of studying material basis of TCMs is still the bottleneck of restricting
Chinese medicine modernization. Nowadays, the latest Waters natural products application solution with UNIFI based on
the ultra performance liquid chromatography (ACQUITY UPLC®H-Class), a quadrupole time of flight mass spectromete
(Xevo®G2-S QTOf MS) and UNIFI Traditional Medicine Library can offer a turn-key solution. This method integrates
data acquisition, data processing and Traditional Medicine Library in a highly automated fashion and makes the chemical
composition analysis become simple, effective, sequencing and the work efficiency is greatly improved. In this work, the
fingerprint chromatograms of twenty-seven Tumuxiang (TMX) samples were established by UPLC-QTOf-MS technique. At
the same time, the anti-inflammatory property of TMX was evaluated by inflammatory models of dimethylbenzene-induced
ear vasodilatation. Then, the spectrum-efficacy model between UPLC fingerprints and anti-inflammatory activities was
investigated by principal component regression (PCR) and partial least squares (PLS). Finally, automated detection and data
filtering were performed using the UNIFITM software. The results indicated that 80 peaks were identified by UNIFI, and 53
characteristic peaks had close correlation with anti-inflammatory activities. The proposed strategy showed high sensitivity,
resolution and fast speed, as a brand new solution for complex component analysis of TCMs was more suitable for revealing
and identifying the bioactive constituents in TMX, which provided the scientific evidence to preliminarily clarify material basis
of anti-inflammatory activities of TMX.
Biography
Fangdi Hu has completed his PhD from Lanzhou University and Post-doctoral studies from Shanghai University of Traditional Chinese Medicine. She is a Professor
at the Department of Natural Medicinal Chemistry, School of Pharmacy, Lanzhou University. She is mainly engaged in the analysis of Traditional Chinese Medicine.
She has published more than 25 papers in reputed journals.
Fangdi Hu et al., J Chromatogr Sep Tech 2016, 7:5(Suppl)