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生物传感器应用中的分析物-受体结合动力学:分形维数对结合速率系数影响的单分形和双分形分析

Analyte-Receptor Binding Kinetics for Biosensor Applications: A Single-Fractal and a Dual-Fractal Analysis of the Influence of the Fractal Dimension on the Binding Rate Coefficient.

作者信息

Ramakrishnan A, Sadana A

机构信息

Chemical Engineering Department, University of Mississippi, University, Mississippi, 38677-9740

出版信息

J Colloid Interface Sci. 1998 Dec 15;208(2):455-467. doi: 10.1006/jcis.1998.5832.

Abstract

The diffusion-limited binding kinetics of antigen (analyte) in solution to antibody (receptor) immobilized on a biosensor surface is analyzed within a fractal framework. Most of the data presented are adequately described by a single-fractal analysis. This was indicated by the regression analysis provided by Sigmaplot ("Scientific Graphing Procedure, User's Manual," Jandel Scientific, San Rafael, CA, 1993). A couple of examples of a dual-fractal analysis are also presented. It is of interest to note that the binding rate coefficient and the fractal dimension both exhibit changes in the same direction for the analyte-receptor systems analyzed. Binding rate coefficient expressions as a function of the fractal dimension developed for the analyte-receptor binding systems indicate the high sensitivity of the binding rate coefficient on the fractal dimension when both a single- and a dual-fractal analysis are used. For example, for a single-fractal analysis and for the binding of cell surface proteins from Helicobacter pylori strain in solution to sialyl-(alpha-2,3)-lactose-conjugated (20 mol%) polyacrylamide immobilized on a resonant mirror biosensor (S. Hirmo et al., Anal. Biochem. 257, 63, 1998), the order of dependence of the binding rate coefficient, k, on the fractal dimension, Df, was 14.15. The fractional order of dependence of the binding rate coefficient(s) on the fractal dimension(s) further reinforces the fractal nature of the system. The binding rate coefficient(s) expressions developed as a function of the fractal dimension(s) are of particular value since they provide a means to better control biosensor performance by linking it to the heterogeneity on the surface and further emphasize in a quantitative sense the importance of the nature of the surface in biosensor performance. Copyright 1998 Academic Press.

摘要

在分形框架内分析了溶液中抗原(分析物)与固定在生物传感器表面的抗体(受体)之间的扩散限制结合动力学。所呈现的大多数数据通过单分形分析得到了充分描述。这由Sigmaplot(《科学绘图程序,用户手册》,Jandel Scientific,加利福尼亚州圣拉斐尔,1993年)提供的回归分析表明。还给出了一些双分形分析的例子。值得注意的是,对于所分析的分析物 - 受体系统,结合速率系数和分形维数都呈现相同方向的变化。为分析物 - 受体结合系统开发的作为分形维数函数的结合速率系数表达式表明,当使用单分形和双分形分析时,结合速率系数对分形维数具有高度敏感性。例如,对于单分形分析以及溶液中幽门螺杆菌菌株的细胞表面蛋白与固定在共振镜生物传感器上的唾液酸基 - (α - 2,3) - 乳糖共轭(20摩尔%)聚丙烯酰胺的结合(S. Hirmo等人,《分析生物化学》257, 63, 1998),结合速率系数k对分形维数Df的依赖顺序为14.15。结合速率系数对分形维数的分数阶依赖进一步强化了系统的分形性质。作为分形维数函数开发的结合速率系数表达式具有特别的价值,因为它们提供了一种通过将生物传感器性能与表面异质性联系起来更好地控制生物传感器性能的方法,并在定量意义上进一步强调了表面性质在生物传感器性能中的重要性。版权所有1998年学术出版社。

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