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Mathematical Model Describing Gradient Focusing Methods for Trace Analytes

机译:痕量分析物描述梯度聚焦方法的数学模型

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The problem of gradient focusing for concentrating trace analytes is considered. Variation of buffer viscosity, conductivity, and possibly also the zeta-potential results in a focusing point where the electrophoretic velocity is balanced by the electroosmotic flow (EOF) and where the sample concentrates. The axial inhomogeneity also results in an induced pressure gradient that alters the EOF profile and therefore causes Taylor dispersion. The coupled hydrodynamics and transport problem leading to the achievement of a steady state is studied in the context of the lubrication approximation: all variations in the axial direction take place over a length scale very much larger than the characteristic channel width. A single length scale (sigma)_(m) and a single time scale tau is found to completely determine the dynamics of the evolution close to the focusing point. Using appropriate scaled variables, the time evolution of the concentration profile near equilibrium can be described by an inhomogeneous advection diffusion equation that is free of all parameters. Explicit formulas are deduced for the location of the peak centroid and its width as a function of time. A simple graphical method is proposed for optimizing the performance of the system when some tunable external parameters are available.
机译:考虑了用于浓缩痕量分析物的梯度聚焦问题。缓冲液粘度,电导率以及可能的ζ电位的变化会导致聚焦点,在该聚焦点,电泳速度通过电渗流(EOF)平衡,并且样品在此集中。轴向不均匀性还会导致感应压力梯度,从而改变EOF轮廓,从而导致泰勒色散。在润滑近似的背景下研究了导致达到稳态的流体动力学和运输耦合问题:轴向上的所有变化都发生在一个比特征通道宽度大得多的长度尺度上。发现单个长度标度(sigma)_(m)和单个时间标度tau可以完全确定靠近焦点的进化动力学。使用适当的比例变量,可以通过不包含所有参数的非均匀对流扩散方程来描述接近平衡时浓度分布的时间演化。推导了针对峰质心的位置及其宽度随时间变化的显式公式。提出了一种简单的图形方法,用于在某些可调外部参数可用时优化系统性能。

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