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A FRACTAL ANALYSIS OF PATHOGEN DETECTION BY BIOSENSORS

机译:生物传感器病原体检测的分形分析

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A fractal analysis is presented for the detection of pathogens such as Franscisela tularensis, and Yersinia pestis (the bacterium that causes plague) using a CANARY (cellular analysis and notification of antigens risks and yields) biosensor (Rider et al., 2003). In general, the binding and dissociation rate coefficients may be adequately described by either a single- or a dual-fractal analysis. An attempt is made to relate the binding rate coefficient to the degree of heterogeneity (fractal dimension value) present on the biosensor surface. Binding and dissociation rate coefficient values obtained are presented. The kinetics aspects along with the affinity values presented are of interest, and should along with the rate coefficients presented for the binding and the dissociation phase be of significant interest in help designing better biosensors for an application area that is bound to gain increasing importance in the future.
机译:介绍了用于检测诸如Franscisela Tularensis的病原体和yersinia Pestis(导致瘟疫的细菌)的病原体分析分析(细胞分析和抗原风险通知和产量)生物传感器(Rider等,2003)。通常,可以通过单一或双分形分析来充分描述结合和解离速率系数。尝试将结合速率系数与存在于生物传感器表面上存在的异质性(分形尺寸值​​)的程度相关。提出了所获得的结合和解离速率系数值。动力学方面以及所呈现的亲和力值具有感兴趣的,并且应与绑定的速率系数一起,并且解离阶段对帮助设计更好的生物传感器的粘合阶段有意义,这些应用领域必然会增加了越来越重要的应用领域未来。

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