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Biofouling
The Journal of Bioadhesion and Biofilm Research
Volume 34, 2018 - Issue 6
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Original Articles

New insights into MagPI: a promising tool to determine the adhesive capacity of biofilm on the mesoscale

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Pages 618-629 | Received 14 Nov 2017, Accepted 10 May 2018, Published online: 27 Aug 2018
 

Abstract

The adhesiveness and stability of ubiquitously distributed biofilms is a significant issue in many areas such as ecology, biotechnology and medicine. The magnetic particle induction (MagPI) system allows precise determinations of biofilm adhesiveness at high temporal and spatial resolution on the mesoscale. This paper concerns several technical aspects to further improve the performance of this powerful experimental approach and enhance the range of MagPI applications. First, several electromagnets were built to demonstrate the influence of material and geometry with special regard to core remanence and magnetic strength. Secondly, the driving force to lift up the particles was evaluated and it was shown that both the magnetic field strength and the magnetic field gradient are decisive in the physics of the MagPI approach. The intricate combination of these two quantities was demonstrated with separate experiments that add permanent magnets to the MagPI system.

Acknowledgements

The authors are grateful for the contribution of the three bachelor students Alexander Kikillus (MagPI calibration), Thomas Bierbaum (experiment on magnetic gradient) and Christian Dany (SQUID measurements). They thank Rolf Reuter and Minh Vu for supporting the high precision balance and SQUID measurements, respectively.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

Sabine U. Gerbersdorf and M. Thom received funding from the DFG (Deutsche Forschungsgemeinschaft) project ‘Ecosystem Engineering: Sediment entrainment and flocculation mediated by microbial produced extracellular polymeric substances (EPS)’, GE 1932/3–1 and GE 1932/3–2. David M. Paterson was partly supported via NERC Grant Ref: N E/N016009/1

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