title: Predicting the behavior of microfluidic circuits made from discrete elements.
abstract: Microfluidic devices can be used to execute a variety of continuous flow analytical and synthetic chemistry protocols with a great degree of precision. The growing availability of additive manufacturing has enabled the design of microfluidic devices with new functionality and complexity. However, these devices are prone to larger manufacturing variation than is typical of those made with micromachining or soft lithography. In this report, we demonstrate a design-for-manufacturing workflow that addresses performance variation at the microfluidic element and circuit level, in context of mass-manufacturing and additive manufacturing. Our approach relies on discrete microfluidic elements that are characterized by their terminal hydraulic resistance and associated tolerance. Network analysis is employed to construct simple analytical design rules for model microfluidic circuits. Monte Carlo analysis is employed at both the individual element and circuit level to establish expected performance metrics for several specific circuit configurations. A protocol based on osmometry is used to experimentally probe mixing behavior in circuits in order to validate these approaches. The overall workflow is applied to two application circuits with immediate use at on the bench-top: series and parallel mixing circuits that are modularly programmable, virtually predictable, highly precise, and operable by hand.
authors.affiliation: Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089.
authors.forename: Krisna C
authors.initials: KC
authors.lastname: Bhargava
authors.affiliation: Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089.
authors.forename: Bryant
authors.initials: B
authors.lastname: Thompson
authors.affiliation: Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089.
authors.forename: Danish
authors.initials: D
authors.lastname: Iqbal
authors.affiliation: Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089.
authors.forename: Noah
authors.initials: N
authors.lastname: Malmstadt
mesh_terms: D046210:Microfluidic Analytical Techniques / Q000295:instrumentation / Q000379:methods*; D008962:Models, Theoretical; D009010:Monte Carlo Method; D009994:Osmolar Concentration; D012965:Sodium Chloride / Q000737:chemistry; D014867:Water / Q000737:chemistry
chemical_list: D014867:Water; D012965:Sodium Chloride