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测量抗生素后效应及确定随机误差的自动化程序。

Automatic procedures for measuring post-antibiotic effect and determining random errors.

作者信息

Jason A C, MacKenzie F M, Jason D, Gould I M

机构信息

Department of Medical Microbiology, Aberdeen Royal Infirmary, Robert Gordon University, UK.

出版信息

J Antimicrob Chemother. 1994 Nov;34(5):669-78. doi: 10.1093/jac/34.5.669.

Abstract

Four methods are described for determining the post-antibiotic effect (PAE) automatically using the high resolution capabilities of the conductance measurement of bacterial growth. The time resolution of each method is derived by a statistical procedure for calculating random error from the component errors involved in each determination. The procedures are illustrated using data generated from the measurements of the growth of Escherichia coli NCTC 4174 after exposure of cultures to five antibiotic concentrations. Excellent agreement was found to exist between three of the four methods. However, that based on the determination of the time of peak growth rate is shown to provide better resolution than the other methods, i.e., those based on growth to 10(7) organisms/mL, the duration of the lag phase or the mean retardation of growth averaged over the entire period of observation. The results strongly suggest that PAE may be ascribed entirely to a prolongation of lag time.

摘要

本文介绍了四种利用细菌生长电导测量的高分辨率能力自动测定抗生素后效应(PAE)的方法。每种方法的时间分辨率是通过一种统计程序得出的,该程序用于根据每次测定中涉及的组成误差计算随机误差。使用培养物暴露于五种抗生素浓度后大肠杆菌NCTC 4174生长测量产生的数据对这些程序进行了说明。发现四种方法中的三种之间存在极好的一致性。然而,基于峰值生长速率时间测定的方法比其他方法具有更好的分辨率,即基于生长至10⁷个生物体/毫升、延迟期持续时间或整个观察期内平均生长延迟的方法。结果强烈表明,PAE可能完全归因于延迟时间的延长。

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