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Updated: Jul 26, 2026

On-chip Isotachophoresis for Separation of Ions and Purification of Nucleic Acids
Published on: March 2, 2012
Highly parallel simulation tool for the design of isotachophoresis experiments
Alexandre S Avaro1, Adar Schwarzbach2, Amit Jangra3
1Department of Mechanical Engineering, Stanford University, 488 Escondido Mall, Stanford, CA, 94305, USA; ESPCI Paris, PSL Research University, LBC-CBI, CNRS UMR 8231, 10 rue Vauquelin, Paris, 75005, France.
We developed BEAN, a new web tool for designing Isotachophoresis (ITP) experiments. It rapidly simulates buffer conditions, accounting for ionic strength, to identify optimal analyte focusing. This accelerates ITP method development.
Area of Science:
- Analytical Chemistry
- Separation Science
- Computational Chemistry
Background:
- Isotachophoresis (ITP) is a separation technique limited by slow simulation times and lack of ionic strength considerations in existing tools.
- Current ITP simulation software hinders experimental design due to computational demands and limited condition screening.
- A need exists for accessible, rapid tools to aid in designing ITP experiments, especially concerning analyte focusing.
Purpose of the Study:
- To introduce a novel, rapid, and highly parallelized computational tool for designing buffer electrolytes in Isotachophoresis (ITP).
- To facilitate the evaluation and identification of effective buffer chemistries for ITP experiments.
- To provide a user-friendly platform for screening a wide range of ITP experimental conditions.
Main Methods:
- Developed a browser-based steady-state solver named BEAN (Browser-based Electrolyte Analyses for ITP).
- BEAN solves coupled, non-linear integral conservation equations, incorporating ionic strength and finite ionic radius effects.
- The tool includes a searchable database of 521 electrolytes and computes 972 variations of user-defined ITP chemistries.
Main Results:
- BEAN accurately determines analyte focusing in ITP systems.
- It estimates key design parameters like zone concentrations, pH, and effective mobility.
- The tool efficiently screens numerous buffer titrations and ion mobility variations, including species with arbitrary valence.
Conclusions:
- BEAN integrates ITP steady-state equations with a parallel computational framework and web interface.
- The tool requires no license or compilation, with automatic parallel computations.
- BEAN enables rapid screening of diverse experimental conditions, significantly aiding ITP experiment design.
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