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Chemical Fingerprinting and Quantification of Chinese Cinnamomi Cortex by Ultra High Performance Liquid Chromatography Coupled with Chemometrics Methods

机译:超高效液相色谱-化学计量学相结合的中国肉桂皮层化学指纹图谱和定量分析

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摘要

To rapidly clarify and quantify the chemical profiling of Cinnamomi cortex a reliable and feasible strategy of chromatographic fingerprinting with a suite of chemometrics methods was developed and validated by ultra-high performance liquid chromatography coupled with diode array detection. Furthermore, to identify more meaningful chemical markers, the chemometrics methods including hierarchical cluster analysis (HCA), principal component analysis (PCA) and similarity, which all generate quality evaluations and correlation classifications of Cinnamomi cortex, were used to improve the Cinnamomi cortex quality control standards. A total of 12 characteristic peaks were confirmed, seven of which were identified by comparing their retention times, UV and MS spectra with authentic compounds. Moreover, 11 analytes were accurately determined, as a complementary quantification method of chromatographic fingerprinting. For quantitative analyses, selective detection was performed at 254, 280 and 340 nm. The tested samples were separated and determined using UPLC and a series of methodologies including linearity, precision, accuracy, limit of detection and quantification and extraction recoveries were validated. Meanwhile the method bias for all the analytes did not exceed 5%. A total of 42 samples were acquired in China and analyzed. The results demonstrated that chromatographic fingerprinting in combination with chemometrics methods provides a promising and practical method to more effectively and comprehensively control the quality of Cinnamomi cortex from various sources, which would be a useful reference for the development and further study of Cinnamomi cortex and related formulations.
机译:为了快速澄清和量化肉桂皮层的化学谱,开发了一套可靠且可行的色谱指纹图谱分析方法,并采用一套化学计量学方法,并通过超高效液相色谱与二极管阵列检测相结合进行了验证。此外,为了识别更有意义的化学标记,使用了化学计量学方法(包括层次聚类分析(HCA),主成分分析(PCA)和相似性)来生成肉桂皮层的质量评估和相关分类,以改善肉桂皮层的质量控制标准。总共确认了12个特征峰,其中7个是通过将保留时间,UV和MS光谱与真实化合物进行比较而鉴定的。此外,作为色谱指纹图谱的一种补充定量方法,可以准确地确定11种分析物。对于定量分析,在254、280和340 nm处进行选择性检测。使用UPLC分离和测定测试样品,并验证了一系列方法,包括线性,精密度,准确度,检测和定量限以及提取回收率。同时,所有分析物的方法偏差均不超过5%。在中国总共采集了42个样本并进行了分析。结果表明,色谱指纹图谱结合化学计量学方法提供了一种有希望和实用的方法,可以更有效和全面地控制各种来源的肉桂皮层的质量,这将为肉桂皮层及其相关制剂的开发和进一步研究提供有用的参考。 。

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