基于高效液相色谱建立对不同产地土沉香叶鉴别方法

Study on Identification Method of the Leaves of Aquilaria Sinensis from Different Producing Areas Based on High Performance Liquid Chromatography

  • 摘要: 为了探究土沉香产区和不同来源土沉香叶产地快速识别方法,对48个来自不同品种不同产地的土沉香叶样品进行高效液相色谱检测分析,建立了一个分类准确率高的土沉香种源地判别高效液相色谱指纹图谱和不同产地土沉香叶的鉴别方法。首先,使用液相色谱柱Thermo BETASIL C18 (250 mm×4.6 mm, 5 μm)、流动相为乙腈-0.1%磷酸水溶液、柱温为30 ℃、体积流量为1 mL/min、进样量为20 μL、紫外检测波长为280 nm为样品检测条件;然后,使用“中药色谱指纹图谱相似度评价系统A版(2012版)”对48个土沉香叶样品进行测定,与SPSS软件结合,建立不同产地土沉香叶的高效液相色谱指纹图谱。实验结果表明:(1)48个土沉香叶样品的高效液相色谱指纹图谱中有25个共有峰,共有峰的相对保留时间的相对标准偏差值较小(RSD < 1.2%)而相对峰面积的相对标准偏差值差异较大(RSD>2.0%),数据表明不同地区的土沉香叶主要化学成分稳定,但化学成分含量差异比较大;(2)由系统聚类分析可将48个不同产地的土沉香样品划分为14类。研究结果表明高效液相色谱指纹图谱可应用于土沉香的产区识别和不同来源土沉香叶的快速识别,具有高效、快速、便捷的优势。

     

    Abstract: In order to explore the rapid identification method of Aquilaria sinensis production areas and different sources of leaves of Aquilaria sinensis, 48 samples of leaves of Aquilaria sinensis from different varieties and different origins were detected and analyzed by high performance liquid chromatography, and a method for identifying leaves of Aquilaria sinensis from different origins with high classification accuracy was established. First, a liquid chromatography column Thermo BETASIL C18 (250 mm×4.6 mm, 5 μm) with acetonitrile-0.1% phosphoric acid in water was used as the mobile phase, the column temperature was 30 ℃, the volume flow rate was 1 mL/min, the injection volume was 20 μL, and the UV detection wavelength was 280 nm. Then, 48 samples to be tested were determined using the "Chromatographic Fingerprint Similarity Evaluation System for Traditional Chinese Medicine Version A (2012)", and the high-performance liquid chromatography fingerprints of Aquilaria sinensis from diffe-rent origins were established by combining with SPSS software. The experimental results showed that: (1) A total of 25 common peaks were identified among the high-performance liquid chromatography fingerprints of 48 samples to be tested, and the relative standard deviation of the relative retention time of the common peaks was small (RSD < 1.2%) and the relative standard deviation of the relative peak area was large (RSD>2.0%), indicating that the main chemical components of leaves of Aquilaria sinensis from different regions were stable, but their contents varied significantly. (2) Systematic cluster analysis could divide 48 samples of Aquilaria sinensis from different origins into 14 categories. The results show that the high-performance liquid chromatography fingerprint can be applied to the identification of the production area of Aquilaria sinensis and the rapid identification of leaves of Aquilaria sinensis from different sources, which has the advantages of high efficiency, rapidity and convenience.

     

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