NDLI: Development of microwave-assisted extraction followed by headspace single-drop microextraction for fast determination of paeonol in traditional Chinese medicines.

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Development of microwave-assisted extraction followed by headspace single-drop microextraction for fast determination of paeonol in traditional Chinese medicines.

Content Provider	Semantic Scholar
Author	Deng, Chunhui Yao, Ning Wang, Ben Zhang, Xiangmin
Copyright Year	2006
Abstract	Paeonol is an important active component present in traditional Chinese medicines (TCMs), which was used for the treatment of many diseases such as eczema. In this work, microwave-assisted extraction (MAE) was firstly combined with headspace single-drop microextraction (HS-SDME), and applied to rapid determination of paeonol in two TCMs of Cynanchum paniculatum and Paeonia suffruticosa. In the proposed method, paeonol in TCMs was isolated by using MAE, followed by extraction and concentration by HS-SDME, and detected by gas chromatography-mass spectrometry (GC-MS). The experiment parameters of MAE and HS-SDME were discussed, and the method precision, recovery and detection limit were also studied. To further demonstrate the reliability of the quantification, both the proposed method and a standard method of steam distillation (SD) were simultaneously applied to quantitative analysis of paeonol in TCM samples from different growing areas. The experimental results show that MAE-HS-SDME is a simple and rapid method for the quantitative analysis of paeonol in TCMs, and is also a potential and alternative tool for quality monitoring for the two TCMs of C. paniculatum and P. suffruticosa.
Starting Page	15
Ending Page	21
Page Count	7
File Format	PDF HTM / HTML
DOI	10.1016/j.chroma.2005.11.023
PubMed reference number	16309693
Journal	Medline
Volume Number	1103
Issue Number	1
Alternate Webpage(s)	https://eurekamag.com/pdf/004/004415421.pdf
Alternate Webpage(s)	https://doi.org/10.1016/j.chroma.2005.11.023
Journal	Journal of chromatography. A
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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