首页|Optimization of Supercritical Fluid Extraction and Rapid Resolution LC-MS/ESI Identification of Chromones from Saposhnikoviae Radix through Orthogonal Array Design
Optimization of Supercritical Fluid Extraction and Rapid Resolution LC-MS/ESI Identification of Chromones from Saposhnikoviae Radix through Orthogonal Array Design
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Objective To establish a rapid and effective supercritical fluid extraction (SFE) and rapid resolution liquid chromatography method coupled with diode-array detector (RRLC-DAD) to quantify the chromones in a species.Methods The effects of four parameters including ethanol concentration (50％-90％),pressure (25-45 MPa),temperature (40-60 ℃),and time (30-90 min) on the chromones yields,namely prim-O-glucosylcimifugin,cimifugin,5-O-methylvisammioside,and sec-O-glucosylhamaudol,were investigated using SFE system with orthogonal array design (OAD).Furthermore,the extracts were analyzed using rapid resolution liquid chromatography coupled with diode-array detector (RRLC-DAD) system to confirm the results.Results Under the optimized conditions,i.e.,35 MPa of pressure,60 ℃ of temperature,70％ ethanol,and 60 min of time,the yields of prim-O-glucosylcimifugin,cimifugin,5-O-methylvisammioside,sec-O-glucosylhamaudol,and total chromones were 3.514,0.132,6.242,0.342,and 10.231 mg/g,respectively.In comparison with ultrasonic assisted extraction (UAE),SFE was able to yield a 20.7％ increase in the total chromones from Saposhnikoviae Radix.Conclusion SFE is an alternative and promising method to extract chromones from this species,and the established RRLC-DAD method could serve as a rapid and effective method for the identification of chromones from Saposhnikoviae Radix.
Zhong-ming Han、Xue Wang、Miao-miao Xu、Yun-he Wang、Li-min Yang、Mei Han
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College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun 130118, China
National Natural Science Foundation of ChinaTechnology Key Project of Jilin Provincetwelfth five-year science and technology plan project of Jilin Education Department
NETL
NSTL
万方数据
维普
