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| 指纹图谱结合化学计量学用于香橼品种鉴别的可行性分析 | |
| 引用本文： | 苏静华,张超,孙磊,顾炳仁,马双成.指纹图谱结合化学计量学用于香橼品种鉴别的可行性分析[J].中国中药杂志,2015,40(12):2318-2324. |
| 作者姓名： | 苏静华 张超 孙磊 顾炳仁 马双成 |
| 作者单位： | 1. 苏州市食品药品检验所,江苏苏州,215104 2. 中国食品药品检定研究院,北京100050;新疆维吾尔自治区食品药品检验所,新疆乌鲁木齐830004 3. 中国食品药品检定研究院,北京,100050 |
| 摘 要： | 该文拟探讨利用指纹图谱结合化学计量学手段进行香橼品种鉴别的可行性.共有23批香橼样本,涵盖《中国药典》收载的香圆和枸橼品种,采用高效液相色谱法采集色谱图.对部分特征峰进行初步鉴别,建立共有模式,用相似度评价、二维聚类分析、主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)进行考察.结果表明由25个特征峰组成的共有模式可以有效将香圆和枸橼区分,稳定性好,并且模式识别也初步验证了结果的可靠性.进一步利用绝对峰面积(APA)进行相对定量,体现出品种之间的量化差异,对今后质控所选择合适的指标提供了一定基础. |
| 关 键 词： | 指纹图谱 化学计量学 香橼 高效液相色谱 |
| 收稿时间： | 2014/12/9 0:00:00 |
Identification of two varieties of Citri Fructus by fingerprint and chemometrics |
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| SU Jing-hu,ZHANG Chao,SUN Lei,GU Bing-ren and MA Shuang-cheng.Identification of two varieties of Citri Fructus by fingerprint and chemometrics[J].China Journal of Chinese Materia Medica,2015,40(12):2318-2324. | |
| Authors: | SU Jing-hu ZHANG Chao SUN Lei GU Bing-ren and MA Shuang-cheng |
| Affiliation: | Suzhou Institute for Food and Drug Control, Suzhou 215104, China,Suzhou Institute for Food and Drug Control, Suzhou 215104, China,National Institutes for Food and Drug Control, Beijing 100050, China;Xinjiang Institute for Food and Drug Control, Urumqi 830004, China,Suzhou Institute for Food and Drug Control, Suzhou 215104, China and National Institutes for Food and Drug Control, Beijing 100050, China |
| Abstract: | Citri Fructus identification by fingerprint and chemometrics was investigated in this paper. Twenty-three Citri Fructus samples were collected which referred to two varieties as Cirtus wilsonii and C. medica recorded in Chinese Pharmacopoeia. HPLC chromatograms were obtained. The components were partly identified by reference substances, and then common pattern was established for chemometrics analysis. Similarity analysis, principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and hierarchical cluster analysis heatmap were applied. The results indicated that C. wilsonii and C. medica could be ideally classified with common pattern contained twenty-five characteristic peaks. Besides, preliminary pattern recognition had verified the chemometrics analytical results. Absolute peak area (APA) was used for relevant quantitative analysis, results showed the differences between two varieties and it was valuable for further quality control as selection of characteristic components. |
| Keywords: | fingerprint chemometrics Citri Fructus HPLC |
