Dynamic computer simulations of electrophoresis: three decades of active research

Thormann, Wolfgang; Caslavska, Jitka; Breadmore, Michael C; Mosher, Richard A (2009). Dynamic computer simulations of electrophoresis: three decades of active research. Electrophoresis, 30 Suppl 1, S16-26. Weinheim: Wiley-VCH 10.1002/elps.200900058

Full text not available from this repository. (Request a copy)

Dynamic models for electrophoresis are based upon model equations derived from the transport concepts in solution together with user-inputted conditions. They are able to predict theoretically the movement of ions and are as such the most versatile tool to explore the fundamentals of electrokinetic separations. Since its inception three decades ago, the state of dynamic computer simulation software and its use has progressed significantly and Electrophoresis played a pivotal role in that endeavor as a large proportion of the fundamental and application papers were published in this periodical. Software is available that simulates all basic electrophoretic systems, including moving boundary electrophoresis, zone electrophoresis, ITP, IEF and EKC, and their combinations under almost exactly the same conditions used in the laboratory. This has been employed to show the detailed mechanisms of many of the fundamental phenomena that occur in electrophoretic separations. Dynamic electrophoretic simulations are relevant for separations on any scale and instrumental format, including free-fluid preparative, gel, capillary and chip electrophoresis. This review includes a historical overview, a survey of current simulators, simulation examples and a discussion of the applications and achievements of dynamic simulation.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Service Sector > Institute of Clinical Pharmacology and Visceral Research (discontinued)

UniBE Contributor:

Thormann, Wolfgang and Caslavsky, Jitka

ISSN:

0173-0835

Publisher:

Wiley-VCH

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:13

Last Modified:

17 Mar 2015 22:32

Publisher DOI:

10.1002/elps.200900058

PubMed ID:

19517506

Web of Science ID:

000276522500002

URI:

https://boris.unibe.ch/id/eprint/31989 (FactScience: 196811)

Actions (login required)

Edit item Edit item
Provide Feedback