Representing primary electrophoretic data in the 1/time domain: Comparison to representations in the time domain
Representing primary electrophoretic data in the 1/time domain: Comparison to representations in the time domain
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DOI：
10.1021/ac961123y
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发表时间：
1997-06-01
影响因子：
7.4
通讯作者：
Whitesides, GM
中科院分区：
文献类型：
--
作者：
Mammen, M;Colton, IJ;Whitesides, GM
一块吸光度和1 /时间(“1 /时域”)是一个更有用的主要数据的表示比传统块吸光度与毛细管电泳时间(时间域)在宽的情况下,特别是当比较重复,电渗流量的速度并不完全相同,根本利益的数量,在毛细管电泳(CE)是一个分析物的电泳淌度,一个物种的电泳迁移率与时间成非线性比例，因此，在时域中不是线性表示：也就是说，两个峰之间的距离沿着时间轴与它们的电泳迁移率的差异不是线性相关，相反，电泳迁移率与1/时间成线性比例，两个峰之间的距离沿着1/时间轴与电泳迁移率的差异线性相关。1/时域的图与我们熟悉的时域图类似（每个分析物都由一个峰表示，峰的顺序对应于这些分析物到达检测器的顺序），但是峰之间的间距线性对应于迁移率的差异。本文推导了这种有用的、视觉上吸引人的、广泛适用的绘图策略，并举例说明了这些图比时域图更有用的常见情况。
A plot of absorbance vs 1/time (the ''1/time domain'') is a more useful representation of the primary data in capillary electrophoresis than traditional plots of absorbance vs time (the ''time domain'') in a wide set of circumstances, especially when comparing electropherograms in which the rate of electroosmotic flow is not precisely the same, The quantity that is of fundamental interest in capillary electrophoresis (CE) is the electrophoretic mobility of an analyte, The electrophoretic mobility of a species is nonlinearly proportional to time and, therefore, not linearly represented in the time domain: that is, the distance between two peaks along the time axis is not linearly related to the difference in their electrophoretic mobilities, In contrast, the electrophoretic mobility is linearly proportional to 1/time, and the distance between two peaks along the 1/time axis is linearly related to the difference in electrophoretic mobilities. Plots in the 1/time domain are similar to the familiar plots in the time domain (each analyte is represented by a peak, and the order of peaks corresponds to the order in which these analytes reach the detector), but the spacing between the peaks corresponds linearly to differences in mobility, This article derives this useful, visually appealing, and broadly applicable plotting strategy and illustrates common situations in which these plots are more useful than plots in the time domain.