Content Determination of Multiple Indicators in Miao Medicine Periploca forrestii and Cluster Analysis
10.6039/j.issn.1001-0408.2018.12.12
- VernacularTitle:苗药黑骨藤多指标的含量测定及聚类分析
- Author:
Yuchen LIU
1
;
Liping LIU
;
Gang LIU
;
Wenyuan JIN
;
Yi LONG
;
Mingzhe HUANG
;
Xin YANG
Author Information
1. 贵阳中医学院药学院
- Keywords:
Periploca forrestii;
Chtorogenic acid;
Periplocin;
Content determination;
Cluster
- From:
China Pharmacy
2018;29(12):1636-1639
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To establish the method for content determination of chlorogenic acid and periplocin in Miao medicine Periploca forrestii. METHODS:HPLC method was adopted. The determination was performed on Xtimate C18 column with mobile phase consisted of acetonitrile-0.1% phosphoric acid solution(gradient elution)at the flow rate of 1.0 mL/min. The detection wavelength was set at 220 nm,and column temperature was maintained at 25 ℃. The sample size was 10 μL. Cluster analysis was conducted according to the content of chlorogenic acid and periplocin in samples by SPSS 23.0 software. RESULTS:The linear range of chlorogenic acid and periplocin were 0.040 6-1.8 μg(r＝0.999 4)and 0.016 8-2.3 μg(r＝0.999 9),respectively. RSDs of precision,stability and repeatability tests were all lower than 5.0%. The quantitation limits were 0.918 0,0.084 3 μg/mL, and detection limits were 0.102 0,0.025 3 μg/mL, respectively. RSD of durability were lower than 3.0%. The recoveries were 102.66%-104.00%(RSD＝0.53%,n＝6),96.44%-100.79%(RSD＝1.73%,n＝6),respectively. RSD of durability were lower than 3.0%. The result indicated that 18 batches of samples were divided into 3 categories by cluster analysis. S2,S4,S10,S12 and S14-S18 were divided into one category;S1,S3,S5-S7,S9,S11 and S13 were divided into another category;S8 was regarded as one category. CONCLUSIONS:The method can be applied for quality control and evaluation of P. forrestii. The contents of chlorogenic acid and periplocin in P. forrestii from different producing areas are different greatly. There is a certain correlation between the content of each component and the producing area.
