DING Xue,LIU He,AO Yutao,et al.Determination of the content of salidroside and pesticide residues of Rhodiola Sachalinensis in Changbai Mountains[J].Journal of Yanbian University,2014,40(03):273-276.
长白山地区高山红景天中红景天苷含量及农药残留的测定
- Title:
- Determination of the content of salidroside and pesticide residues of Rhodiola Sachalinensis in Changbai Mountains
- Keywords:
- Rhodiola sachalinensis; salidroside; pesticide residues; high performance liquid chromatography; gas chromatography
- 分类号:
- R927.2
- 文献标志码:
- A
- 摘要:
- 为了解长白山地区高山红景天药材的质量,对产自长白山地区不同年限的人工栽培和野生高山红景天中的红景天苷含量和农药残留量进行了测定.在检测波长为275 nm、色谱柱为PLATISTLTM C18柱(250 mm×4.6 mm, 5 μm)、流动相为甲醇-乙酸铵溶液、线性度(r)高于0.999 8、平均回收率为96.62%、相对标准偏差为1.32%的条件下,采用高效液相色谱法测定了红景天苷的含量; 在色谱柱为HP-5毛细管气相色谱柱(0.32 mm×30 m×0.25 μm)、进样
- Abstract:
- To comprehend the quality of Rhodiola sachalinensis the content of salidroside and pesticide residues of artificial cultivated and wild Rhodiola sachalinensis in Changbai Mountains were measured. High performance liquid chromatography(HPLC)method was established for determination of salidroside content. The detection wavelength was 275 nm. The column PLATISTLTM C18 column(250 mm×4.6 mm, 5 μm)and mobile phase(methanol: ammonium acetate)were used. The coefficient of correlation(r)exceed 0.999 8, the average recovery and the relative standard deviation were 96.62% and 1.32%, respectively. The amount of pesticide residues was determined by Gas Chromatography(GC). The HP-5 capillary column(0.32 mm×30 m×0.25 μm)was chosen. The inlet temperature and Ni63 electron capture detector temperature were 250 ℃ and 300 ℃ respectively. The tail blowing was 15 mL/min and the column temperature was raised to 220 ℃ by 10 ℃/min, then maintained for 20 min. The results showed the salidroside content of artificial cultivated Rhodiola sachalinensis in different growing years were distinction, which were lower than that of wild Rhodiola sachalinensis. The BHC and DDT pesticide residues not detected in the samples.
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备注/Memo
收稿日期: 2014-06-11 *通信作者: 郭建鹏(1971—),男,教授,研究方向为中药新剂型与新技术研究.基金项目: 吉林省科技发展计划项目(20140204034YY); 延边大学科技发展应用项目(201301)