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BY 4.0 license Open Access Published by De Gruyter November 26, 2020

Optimization of online particle counting with a 3D-printed bubble trap

  • Anja Kurzhals EMAIL logo , Christoph Brandt-Wunderlich , Finja Borowski , Klaus-Peter Schmitz , Niels Grabow , Wolfram Schmidt and Jyoti Gurung

Abstract

Particulate evaluation is needed for the approval of cardiovascular devices. Air bubbles lead to higher particle counts when light obscuration method (LOM) is used. The aim of the study was to test a custom made bubble trap that removes air bubbles (2 - 100 μm) from a flow circuit prior to online particle counting. Artificially generated air bubbles were counted with an online particle counter with and without the bubble trap. Air bubbles were reduced by about 71 % to 91 % by using the bubble trap.

Published Online: 2020-11-26
Published in Print: 2020-09-01

© 2020 by Walter de Gruyter Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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