Simplified nonequilibrium theory of secondary relaxation effects in programmed field-flow fractionation.
Simplified nonequilibrium theory of secondary relaxation effects in programmed field-flow fractionation.
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程序化场流分级中二次弛豫效应的简化非平衡理论。
DOI:
10.1021/ac00295a018
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发表时间:
1986
影响因子:
7.4
通讯作者:
Giddings,JC
中科院分区:
文献类型:
--
作者:
Giddings,JC
Primary and secondary relaxation effects In field-flow frac-tionation are described. It is shown that secondary relaxation processes Invariably cause a departure from steady-state migration when field programming is used. To treat this rather complicated phenomenon In a simple manner, nonequilibrium theory has been applied. With this approach, first-order ap-proximations have been obtained for the departure from equilibrium of the concentration across the channel. Following this, correction terms have been derived for the corresponding Increments in particle migration rate, retention time, and de-rived physicochemical properties such as particle mass. These corrections are valid for small departures from equi-librium for any subtechnique of FFF and provide a simple criterion for the magnitude of equilibrium departure.The basic mechanism of field-flow fractionation (FFF) entails the formation of a thin cloud of particles near the accumulation wall of the FFF flow channel. When flow is initiated inthe channel, the cloud is displaced downstream at a velocity roughly proportional to the cloud thickness, l. Since particles of different sizes and types form clouds of different thicknesses, the downstream displacement velocities differ for different kinds of particles, thus ensuring separation. This basic mechanism of separation has been elaborated many times and will not be further detailed here (1-3). In this paper we focus on changes that are induced in the distribution of particles within a cloud due to changing con-ditions, particularly changes in the strength of the field applied across the channel. Changes infield strength inthe course of a run constitute the basis of field-programmed FFF (4, 5).
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影响因子:
6.2
作者:
D. Glick
通讯作者:
D. Glick
影响因子:
4.4
作者:
J. Giddings
通讯作者:
J. Giddings
影响因子:
3
作者:
J. Giddings
通讯作者:
J. Giddings
影响因子:
7.4
作者:
J. Giddings;K. Caldwell;J. F. Moellmer;T. H. Dickinson;M. N. Myers;Michel Martin
通讯作者:
Michel Martin
影响因子:
7.4
作者:
Giddings,JC
通讯作者:
Giddings,JC