高效液相色谱法对荔枝草的化学指纹图谱及定量分析
Chemical fingerprint and quantitative analysis of Salvia plebeia R.Br. by high-performance liquid chromatography.
作者信息
Jin Xiao-feng, Lu Yan-hua, Wei Dong-zhi, Wang Zheng-tao
机构信息
State Key Laboratory of Bioreactor Engineering, New World Institute of Biotechnology, East China University of Science and Technology, Shanghai 200237, PR China.
出版信息
J Pharm Biomed Anal. 2008 Sep 10;48(1):100-4. doi: 10.1016/j.jpba.2008.05.027. Epub 2008 May 28.
To control the quality of Salvia plebeia R.Br., a simple and reliable method of high-performance liquid chromatography coupled with photodiode array detector (HPLC-DAD) was developed both for fingerprint analysis and quantitative determination of seven bioactive compounds, namely caffeic acid, luteolin-7-glucoside, nepetin-7-glucoside, homoplantaginin, luteolin, nepetin and hispidulin. In fingerprint analysis, twelve peaks were selected as characteristic peaks. In quantitative analysis, seven compounds showed good regression (R2>0.9995) within test ranges and the recovery of the method was in the range of 91.7-103.2%. The content ranges (mg/g) of seven compounds in the collected samples of S. plebeia were 0.80-1.67 (hispidulin), 2.18-5.75 (homoplantaginin), 0.52-1.22 (nepetin), 1.56-3.48 (nepetin-7-glucoside), 0.12-0.24 (luteolin), 0.97-2.22 (luteolin-7-glucoside) and 0.21-0.44 (caffeic acid), respectively. From the results obtained, the content of homoplantaginin was the highest. In addition, luteolin and luteolin-7-glucoside were isolated for the first time from S. plebeia.
为了控制荔枝草的质量，建立了一种简单可靠的高效液相色谱-光电二极管阵列检测器联用（HPLC-DAD）方法，用于指纹图谱分析和7种生物活性化合物的定量测定，这7种化合物分别是咖啡酸、木犀草素-7-葡萄糖苷、尼泊尔黄酮苷、高车前苷、木犀草素、尼泊尔黄酮和圣草酚。在指纹图谱分析中，选择了12个峰作为特征峰。在定量分析中，7种化合物在测试范围内呈现良好的线性关系（R2>0.9995），该方法的回收率在91.7%-103.2%之间。所采集的荔枝草样品中7种化合物的含量范围（mg/g）分别为：圣草酚0.80-1.67、高车前苷2.18-5.7、尼泊尔黄酮0.52-1.22、尼泊尔黄酮苷1.56-3.48、木犀草素0.12-0.24、木犀草素-7-葡萄糖苷0.97-2.22、咖啡酸0.21-0.44。从所得结果来看，高车前苷的含量最高。此外，木犀草素和木犀草素-7-葡萄糖苷首次从荔枝草中分离得到。
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