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EMµ: the next generation of separation science.

Galineau, Jeremy, White, Blánaid orcid logoORCID: 0000-0003-2982-8752, Morrin, Aoife orcid logoORCID: 0000-0002-3031-4794 and Smyth, Malcolm R. (2009) EMµ: the next generation of separation science. In: 21st International Ion Chromatography Symposium, 21–24 Sept 2009, Dublin, Ireland.

Abstract
The extensive application of monolithic columns for HPLC is severely hindered by a lack of column-to-column reproducibility. EMμ (Electroactive Monolithic mChip) is a new concept that solves the significant reproducibility problems, as well as allowing miniaturization and improving overall efficiency through electrochemically controlled dynamic separations. This novel μchip has a micro-structured monolith fabricated from intelligent, electroactive polymer. By application of a specific potential, conducting polymers such as polyaniline (PANI) can be reproducibly grown and readily fine-tuned in terms of porosity, hydrophobicity and ionic capacity. This unique chip provides for an Electroactive Monolithic μchip capable of multi-dimensional chromatographic separations. Additionally, EMμ can exploit on-chip electrodes permitting incorporation of contactless conductivity detection (C4D). The monolith microstructuring (provided by templating) will provide reproducibility and improve efficiency by decreasing the A term of the Van Deemter equation. Furthermore, the use of these intelligent materials will enable gradient control and redox reactions to be exploited during separations of larges biomolecules.
Metadata
Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Refereed:No
Uncontrolled Keywords:Electroactive Monolithic mChip; Polyaniline (PANI)
Subjects:Physical Sciences > Chemistry
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Institutes and Centres > National Centre for Sensor Research (NCSR)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:SFI
ID Code:19863
Deposited On:25 Feb 2014 11:46 by Aoife Morrin . Last Modified 07 Jan 2019 10:21
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