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Optimization of a Microfluidic Mixing Process for Gene Expression-Based Bio-Dosimetry

Summary: [This abstract is based on the authors' abstract.] The increase in the use of radiation imaging and radiation therapy and the potential for a large scale radiological hazard have created a need for a fast, self contained, noninvasive biodosimetric device. This article presents a case study in optimizing various factors affecting the kinetics of such a device. Ridge regression was used to identify a set of potentially important variables in the critical microfluidic mixing subsystem. A series of designed experiments determined the optimal settings for significant factors in the process. As a result of the statistical design, experimentation and analysis of this subsystem, mixing time was reduced from 5.5 minutes to 2 minutes.

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  • Topics: Design of Experiments
  • Keywords: D-optimality, Design of Experiment (DOE), Fractional factorials, Optimization, Regression, Response surface methodology (RSM), Ridge analysis,
  • Author: Shinde, Shilpa Madhavan Shinde; Orozco, Christine; Brengues, Muriel; Lenigk, Ralf; Montgomery, Douglas C.; Zenhausern, Frederic;
  • Journal: Quality Engineering