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

机译:通过超高效液相色谱法加上化学计量方法的化学指纹识别和量化的中国肉桂米皮质

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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:为了快速阐明和量化Cinnamomi Cortex的化学分析,通过与二极管阵列检测耦合的超高效液相色谱法开发和验证了具有套件的色谱指纹图谱的可靠和可行的色谱指纹策略。此外,为了鉴定更有意义的化学标记,包括分层聚类分析(HCA),主成分分析(PCA)和相似性,这些方法和相似性都用于改善Cinnamomi Cortex质量控制的所有产生质量评估和相关性分类标准。通过将它们的保留时间,UV和MS光谱与真实的化合物比较,确认了总共12个特征峰,其中7种通过比较它们的保留时间,UV和MS光谱来鉴定。此外,将11分析物精确地确定,作为色谱指纹识别的互补定量方法。为了定量分析,选择性检测在254,280和340nm处进行。使用UPLC分离并确定测试的样品,并通过UPLC和一系列方法确定,包括线性,精度,精度,检测和定量限制以及提取回收率。同时,所有分析物的方法偏差不超过5%。共有42个样本在中国获得并分析。结果表明,与化学计量方法相结合的色谱指纹图谱提供了一种有效和实用的方法,以更有效地控制各种来源的肉桂米皮质的质量,这将是肉桂米皮质和相关配方的开发和进一步研究的有用参考。

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