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dc.contributor.authorKassis, Timothy
dc.contributor.authorPerez, Paola M.
dc.contributor.authorYang, Chloe J.
dc.contributor.authorSoenksen Martinez, Luis Ruben
dc.contributor.authorTrumper, David L
dc.contributor.authorGriffith, Linda G
dc.date.accessioned2018-09-05T17:05:32Z
dc.date.available2018-09-05T17:05:32Z
dc.date.issued2018-10
dc.date.submitted2018-06
dc.identifier.issn24680672
dc.identifier.urihttp://hdl.handle.net/1721.1/117641
dc.description.abstractWith the rise of research utilizing microphysiological systems (MPSs), the need for tools that enable the physiological mimicking of the relevant cellular environment is vital. The limited ability to reproduce crucial features of the microenvironment, such as surrounding fluid flow and dynamic changes in biochemical stimuli, severely limits the types of experiments that can be carried out. Current equipment to achieve this, such as syringe and peristaltic pumps, is expensive, large, difficult to program and has limited potential for scalability. Here, we present a new pumping platform that is open-source, low-cost, modular, scalable, fully-programmable and easy to assemble that can be incorporated into cell culture systems to better recapitulate physiological environments. By controlling two commercially available piezoelectric pumps using a Raspberry Pi Zero microcontroller, the system is capable of producing arbitrary dynamic flow profiles with reliable flow rates ranging from 1 to 3000 µL/min as specified by an easily programmable Python-based script. We validated the accuracy of the flow rates, the use of time-varying profiles, and the practicality of the system by creating repeatable dynamic concentration profiles using a 3D-printed static micromixer.en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency. Microphysiological Systems Program (W911NF-12-2-0039)en_US
dc.publisherElsevier Inc.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ohx.2018.e00034en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titlePiFlow: A biocompatible low-cost programmable dynamic flow pumping system utilizing a Raspberry Pi Zero and commercial piezoelectric pumpsen_US
dc.typeArticleen_US
dc.identifier.citationKassis, Timothy, Paola M. Perez, Chloe J.W. Yang, Luis R. Soenksen, David L. Trumper, and Linda G. Griffith. “PiFlow: A Biocompatible Low-Cost Programmable Dynamic Flow Pumping System Utilizing a Raspberry Pi Zero and Commercial Piezoelectric Pumps.” HardwareX 4 (October 2018): e00034.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Biotechnology Process Engineering Centeren_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorKassis, Timothy
dc.contributor.mitauthorPerez, Paola M.
dc.contributor.mitauthorYang, Chloe J.
dc.contributor.mitauthorSoenksen Martinez, Luis Ruben
dc.contributor.mitauthorTrumper, David L
dc.contributor.mitauthorGriffith, Linda G
dc.relation.journalHardwareXen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-08-30T16:52:10Z
dspace.orderedauthorsKassis, Timothy; Perez, Paola M.; Yang, Chloe J.W.; Soenksen, Luis R.; Trumper, David L.; Griffith, Linda G.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-8851-1224
dc.identifier.orcidhttps://orcid.org/0000-0001-7890-7209
dc.identifier.orcidhttps://orcid.org/0000-0001-5358-5450
dc.identifier.orcidhttps://orcid.org/0000-0002-1801-5548
mit.licensePUBLISHER_CCen_US


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