RESOLUTION OF HIGH PERFORMANCE LIQUID CHROMATOGRAPHIC FINGERPRINTS OF RHIZOMA CURCUMAE BY APPLICATION OF CHEMOMETRICS
RESOLUTION OF HIGH PERFORMANCE LIQUID CHROMATOGRAPHIC FINGERPRINTS OF RHIZOMA CURCUMAE BY APPLICATION OF CHEMOMETRICS
复制标题
应用化学计量学解析姜黄高效液相色谱指纹图谱
DOI：
10.1080/10826076.2011.582215
复制
发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
Kokot, Serge
中科院分区：
文献类型：
--
作者：
Ni, Yongnian;Mei, Minghua;Kokot, Serge
采用高效液相色谱-二极管阵列检测器（HPLC-DAD）法对中药黄芪的色谱指纹图谱进行分析和表征。采用遗传算法-偏最小二乘法（GA-PLS）对11个共有峰进行特征变量选择。采用主成分分析（PCA）和K-近邻法（KNN）两种化学计量学模式识别方法，对4个不同省份的不同处理方法的麦冬样品的平均色谱图进行了研究。结果发现，这些样品可以根据其来源和加工方法成功进行比较和区分。结果表明，该方法可有效地用于中药饮片的质量控制，并为其他中药的化学模式识别提供了参考方法。
High performance liquid chromatography with diode array detector (HPLC-DAD) was employed for the chromatographic fingerprint analysis and characterization of Rhizoma Curcumae, a traditional Chinese medicine (TCM). Genetic algorithm-partial least squares (GA-PLS) were applied for feature variables selection based on the 11 common peaks. Then, two chemometrics pattern recognition methods, principal component analysis (PCA) and K-nearest neighbor (KNN), were applied to investigate the mean chromatograms of Rhizoma Curcumae samples, which were obtained from four different provinces with two different processing methods. It was found that these samples can be successfully compared and distinguished according to their origin and processing methods. The results indicated that the proposed method could be efficiently used to control the quality of Rhizoma Curcumae samples and providing a reference method for chemical pattern recognition for other TCMs.
登录
查看更多内容
DOI：
10.2307/2982678
发表时间：
1992
影响因子：
2
作者：
W. Krzanowski
通讯作者：
W. Krzanowski
影响因子：
2.5
作者：
G. A. Mack
通讯作者：
G. A. Mack
影响因子：
7.4
作者：
Q. Ding;G. W. Small;M. Arnold
通讯作者：
Q. Ding;G. W. Small;M. Arnold
影响因子：
2.4
作者：
LEARDI, R
通讯作者：
LEARDI, R
影响因子：
4.1
作者：
Gong, F;Liang, YZ;Chau, FT
通讯作者：
Chau, FT