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dc.contributor.authorYaghoobi, Mohammad
dc.contributor.authorSaidi, Mohammad Said
dc.contributor.authorGhadami, Sepehr
dc.contributor.authorKashaninejad, Navid
dc.date.accessioned2020-10-20T03:21:52Z
dc.date.available2020-10-20T03:21:52Z
dc.date.issued2020
dc.identifier.issn1424-8220en_US
dc.identifier.doi10.3390/s20133774en_US
dc.identifier.urihttp://hdl.handle.net/10072/398505
dc.description.abstractDroplet-based microfluidics offers significant advantages, such as high throughput and scalability, making platforms based on this technology ideal candidates for point-of-care (POC) testing and clinical diagnosis. However, the efficiency of co-encapsulation in droplets is suboptimal, limiting the applicability of such platforms for the biosensing applications. The homogeneity of the bioanalytes in the droplets is an unsolved problem. While there is extensive literature on the experimental setups and active methods used to increase the efficiency of such platforms, passive techniques have received less attention, and their fundamentals have not been fully explored. Here, we develop a novel passive technique for investigating cell encapsulation using the finite element method (FEM). The level set method was used to track the interfaces of forming droplets. The effects of walls and the droplet interfaces on relatively large cells were calculated to track them more accurately during encapsulation. The static surface tension force was used to account for the effects of the interfaces on cells. The results revealed that the pairing efficiency is highly sensitive to the standard deviation (SD) of the distance between the cells in the entrance channel. The pairing efficiency prediction error of our model differed by less than 5% from previous experiments. The proposed model can be used to evaluate the performance of droplet-based microfluidic devices to ensure higher precision for co-encapsulation of cells.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.language.isoeng
dc.publisherMDPIen_US
dc.relation.ispartofpagefrom3774en_US
dc.relation.ispartofissue13en_US
dc.relation.ispartofjournalSensorsen_US
dc.relation.ispartofvolume20en_US
dc.subject.fieldofresearchEnvironmental Science and Managementen_US
dc.subject.fieldofresearchEcologyen_US
dc.subject.fieldofresearchAnalytical Chemistryen_US
dc.subject.fieldofresearchDistributed Computingen_US
dc.subject.fieldofresearchElectrical and Electronic Engineeringen_US
dc.subject.fieldofresearchcode0502en_US
dc.subject.fieldofresearchcode0602en_US
dc.subject.fieldofresearchcode0301en_US
dc.subject.fieldofresearchcode0805en_US
dc.subject.fieldofresearchcode0906en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsPhysical Sciencesen_US
dc.titleAn Interface-Particle Interaction Approach for Evaluation of the Co-Encapsulation Efficiency of Cells in a Flow-Focusing Droplet Generatoren_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationYaghoobi, M; Saidi, MS; Ghadami, S; Kashaninejad, N, An Interface-Particle Interaction Approach for Evaluation of the Co-Encapsulation Efficiency of Cells in a Flow-Focusing Droplet Generator, Sensors, 2020, 20 (13), pp. 3774en_US
dcterms.dateAccepted2020-07-01
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/en_US
dc.date.updated2020-10-20T03:18:14Z
dc.description.versionVersion of Record (VoR)en_US
gro.rights.copyright© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
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gro.griffith.authorKashaninejad, Navid 0.


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