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微热量法结合化学计量学技术评价黄连的抗菌作用及模式。

Evaluation of antibacterial effect and mode of Coptidis rhizoma by microcalorimetry coupled with chemometric techniques.

机构信息

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100193, China.

出版信息

Analyst. 2012 Jan 7;137(1):216-22. doi: 10.1039/c1an15826k. Epub 2011 Nov 7.

DOI:10.1039/c1an15826k
PMID:22059231
Abstract

In this study, the antibacterial effect and mode of Coptidis rhizoma on Escherichia coli was evaluated by microcalorimetry coupled with chemometric techniques. Using an isothermal microcalorimeter, the metabolic profiles of E. coli growth at 37 °C affected by 15 batches of C. rhizoma were measured. Through principal component analysis (PCA) on nine quantitative thermo-kinetic parameters obtained from the metabolic power-time profiles of E. coli, the antibacterial effects of C. rhizoma from various sources could be easily evaluated by analyzing the change of the two main thermo-kinetic parameters, growth rate constant k(2) and maximum heat-output power P(2)(m), in the second exponential phase of E. coli growth. Then, hierarchical clustering analysis (HCA) was carried out on the two parameters to distinguish those C. rhizoma samples in respect to their antibacterial effects. Clear results were obtained to show that all 15 C. rhizoma samples with different antibacterial effects could be successfully grouped in accordance with their origins. Ranked in decreasing order, the antibacterial mode of C. rhizoma samples that were from Sichuan province had the strongest antibacterial effects, followed by samples from Chongqing city and Hubei province. Our results revealed that the developed microcalorimetry with chemometric techniques had the potential perspective for evaluating the effect and mode of Coptidis rhizoma and other Chinese materia medicas.

摘要

本研究采用微量热技术结合化学计量学方法评价黄连对大肠杆菌的抗菌作用和模式。利用等温微量热仪,测定了 15 批黄连对 37°C 下大肠杆菌生长代谢谱的影响。通过对大肠杆菌代谢功率-时间曲线得到的 9 个定量热动力学参数进行主成分分析(PCA),可以分析大肠杆菌生长第二指数期的两个主要热动力学参数——生长速率常数 k(2)和最大产热功率 P(2)(m)的变化,从而容易地评价不同来源的黄连的抗菌效果。然后,对这两个参数进行层次聚类分析(HCA),以区分具有不同抗菌效果的黄连样品。结果表明,所有 15 种具有不同抗菌效果的黄连样品都可以根据其来源成功地进行分组。按照抗菌效果由强到弱的顺序排列,来自四川省的黄连样品的抗菌模式最强,其次是来自重庆市和湖北省的黄连样品。研究结果表明,开发的微量热技术结合化学计量学方法具有评估黄连及其他中药的作用和模式的潜力。

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