不同产地火绒草HPLC指纹图谱的建立及化学模式识别
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摘要
目的建立不同产地火绒草Leontopodium leontopodioides(Willd.)Beauv.HPLC指纹图谱,并进行化学模式识别。方法火绒草50%乙醇提取物的分析采用Phenomenex C_(18)柱(250 mm×4.6 mm,5μm);流动相0.1%磷酸-乙腈,梯度洗脱;柱温25℃;体积流量1.0 mL/min;检测波长290 nm。结果 35批样品指纹图谱中有19个共有峰,相似度0.819～0.982。29批样品分为2大类,生态环境相似或地理位置相近的样本被归类一起。主成分分析中铁岭昌图泉头镇产地(S4)综合得分最高,表明其成分含有量较其他产地高。主成分分析结果与聚类分析所得结果相吻合。结论该方法准确稳定,重复性好,可用于火绒草的质量控制。
AIM To establish the HPLC fingerprints and to analyse the chemical pattern recognition of Leontopodium leontopodioides(Willd.)Beauv. from different growing areas.METHODS The analysis of 50% ethanol extract of L. leontopodioides was developed on a 25 ℃ thermostatic Phenomenex C_(18) column(250 mm×4.6 mm,5 μm), with the mobile phase comprising of 0.1% H_3PO_4-acetonitrile flowing at 1.0 mL/min in a gradient elution manner, and the detection wavelength was set at 290 nm.RESULTS There were nineteen common peaks in the fingerprints of thirty-five batches of samples, with the similarities of 0.819-0.982. Twenty-nine batches of samples were divided into two types, and the samples of similar ecological environment or closed geographical position were classified together. The highest scores was Quantou place in Tieling town of Changtu according to principal component analysis, and it showed that the component content in Quantou place was better than other areas. Principal component analysis and cluster analysis results were identical with each other.CONCLUSION This accurate,stable and reproducible method can be used for the quality control of L. leontopodioides.
AIM To establish the HPLC fingerprints and to analyse the chemical pattern recognition of Leontopodium leontopodioides(Willd.)Beauv. from different growing areas.METHODS The analysis of 50% ethanol extract of L. leontopodioides was developed on a 25 ℃ thermostatic Phenomenex C_(18) column(250 mm×4.6 mm,5 μm), with the mobile phase comprising of 0.1% H_3PO_4-acetonitrile flowing at 1.0 mL/min in a gradient elution manner, and the detection wavelength was set at 290 nm.RESULTS There were nineteen common peaks in the fingerprints of thirty-five batches of samples, with the similarities of 0.819-0.982. Twenty-nine batches of samples were divided into two types, and the samples of similar ecological environment or closed geographical position were classified together. The highest scores was Quantou place in Tieling town of Changtu according to principal component analysis, and it showed that the component content in Quantou place was better than other areas. Principal component analysis and cluster analysis results were identical with each other.CONCLUSION This accurate,stable and reproducible method can be used for the quality control of L. leontopodioides.
引文
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[10] 汪荣斌, 秦亚东, 陈颖, 等. 化学计量学结合指纹图谱评价不同产地青钱柳叶的质量[J]. 中药材, 2018, 41(4): 917-921.
[11] 邓可众, 陈虹, 熊艺, 等. 不同产地及不同采收期江枳实的UPLC指纹图谱研究[J]. 中药材, 2017, 40(9): 2051-2054.
[12] 刘聪, 孙健, 吴加梁, 等. 不同产地枳椇子HPLC指纹图谱研究[J]. 中药材, 2018,41(4): 844-848.
[13] 陈蓉, 沈蓓, 吴启南. 基于主成分分析和聚类判别模式对不同产地芡实HPLC指纹图谱研究[J]. 中成药, 2012, 34(5): 781-787.
[2] 张新刚, 李婷, 任新蕊, 等. 火绒草属药学研究新进展[J]. 安徽农业科学, 2011, 39(31): 19093-19094,19121.
[3] 展锐. 火绒草有效成分和抗氧化作用的研究[D]. 乌鲁木齐: 新疆大学, 2010.
[4] 阿布来提, 阿布都热西提, 买买提吐尔逊. 火绒草中微量元素含量的分析[J]. 微量元素与健康研究, 2005, 22(8): 24-25.
[5] 金鑫, 郑洪新. 中药“道地药材”与地理环境[J]. 长春中医药大学学报, 2010, 26(2): 287-288.
[6] 鄢丹, 王伽伯, 李俊贤, 等. 论道地药材品质辨识及其与生态环境的相关性研究策略[J]. 中国中药杂志, 2012, 37(17): 2672-2675.
[7] 姜鸿, 王光函, 邸子真, 等. 火绒草HPLC指纹图谱初步研究[J]. 辽宁中医药大学学报, 2008, 10(6): 196-197.
[8] 杨冉冉, 姬蕾, 李二文, 等. 鸡血藤的HPLC指纹图谱及模式识别研究[J]. 中草药, 2017, 48(21): 4530-4536.
[9] 李涛, 苏趁, 李立新, 等. 四裂红景天与大花红景天红景天的 NMR 指纹图谱与化学模式识别方法研究[J]. 中草药, 2018, 49(16): 3918-3925.
[10] 汪荣斌, 秦亚东, 陈颖, 等. 化学计量学结合指纹图谱评价不同产地青钱柳叶的质量[J]. 中药材, 2018, 41(4): 917-921.
[11] 邓可众, 陈虹, 熊艺, 等. 不同产地及不同采收期江枳实的UPLC指纹图谱研究[J]. 中药材, 2017, 40(9): 2051-2054.
[12] 刘聪, 孙健, 吴加梁, 等. 不同产地枳椇子HPLC指纹图谱研究[J]. 中药材, 2018,41(4): 844-848.
[13] 陈蓉, 沈蓓, 吴启南. 基于主成分分析和聚类判别模式对不同产地芡实HPLC指纹图谱研究[J]. 中成药, 2012, 34(5): 781-787.