Determination of hesperidin in Pericarpium Citri Reticulatae by semi-micro HPLC with electrochemical detection.
Determination of hesperidin in Pericarpium Citri Reticulatae by semi-micro HPLC with electrochemical detection.
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DOI：
10.1016/j.jpba.2006.02.030
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发表时间：
2006-06
影响因子：
3.4
通讯作者：
Jing Xia;Akira Kotani;H. Hakamata;F. Kusu
中科院分区：
文献类型：
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作者：
Jing Xia;Akira Kotani;H. Hakamata;F. Kusu
采用甲醇提取-半微量高效液相色谱-电化学检测器（μHPLC-ECD）法测定陈皮中橙皮苷的含量。色谱柱为ODS柱，甲醇-水-磷酸（40：60：0.5，v/v/v）为移动的相，外加电位为+0.9V（Ag/AgCl）。峰高与橙皮苷浓度在9.16 ~ 3.06μg/ml范围内呈线性关系（r>0.999）。检出限（S/N=3）为3.06ng/ml（15.3pg）。橙皮苷的相对标准偏差（R.S.D.）为305 ng/ml。0.79%（n=5）。采用甲醇提取，移动的相稀释后，进样于μHPLC-ECD中测定。用R.S.D.法测定了我国4个不同产地的陈皮中橙皮苷的含量。分别为3.59%、2.29%、2.36%和2.32%（n=5）。橙皮苷的回收率分别为100.3%、99.83%、100.7%和100.6%。该方法适用于陈皮中橙皮苷的测定，尤其适用于样品稀少的情况。
Determination of hesperidin contents in Pericarpium Citri Reticulatae was performed by a simple extraction with methanol and semi-micro high-performance liquid chromatography with electrochemical detection (μHPLC–ECD). Chromatography was performed using a microbore octadecylsilica (ODS) column, methanol–water–phosphoric acid (40:60:0.5, v/v/v), as a mobile phase and applied potential at +0.9V versus Ag/AgCl. Peak heights were found linearly related to the concentrations of hesperidin injected 9.16ng/ml to 3.06μg/ml (r>0.999). The detection limit (S/N=3) was 3.06ng/ml (15.3pg). Hesperidin of 305ng/ml was detected with a relative standard deviation (R.S.D.) of 0.79% (n=5). Hesperidin in Pericarpium Citri Reticulatae was extracted with methanol, diluted with the mobile phase, and injected into the μHPLC–ECD for determination. The hesperidin content of Pericarpium Citri Reticulatae from four different districts in China were determined with R.S.D. of 3.59%, 2.29%, 2.36%, and 2.32% (n=5), respectively. Recoveries of hesperidin from the four Pericarpium Citri Reticulatae sources were 100.3%, 99.83%, 100.7%, and 100.6%, respectively. This method is useful for the determination of hesperidin in Pericarpium Citri Reticulatae, and especially so for instances when samples are sparse.