Permittivity-based microparticle classification by the integration of impedance cytometry and microwave resonators

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buir.contributor.authorTefek, Uzay
buir.contributor.authorAlhmoud, Hashim Ziad
buir.contributor.authorHanay, Mehmet Selim
buir.contributor.orcidTefek, Uzay|0000-0001-6639-0783
buir.contributor.orcidAlhmoud, Hashim Ziad| 0000-0001-5557-6689
buir.contributor.orcidHanay, Mehmet Selim|0000-0002-1928-044X
dc.citation.epage2304072-11en_US
dc.citation.issueNumber46
dc.citation.spage2304072-1
dc.citation.volumeNumber35
dc.contributor.authorTefek, Uzay
dc.contributor.authorSari, B.
dc.contributor.authorAlhmoud, Hashim Ziad
dc.contributor.authorHanay, Mehmet Selim
dc.date.accessioned2024-03-12T10:56:32Z
dc.date.available2024-03-12T10:56:32Z
dc.date.issued2023-11-16
dc.departmentDepartment of Mechanical Engineering
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)
dc.description.abstractPermittivity of microscopic particles can be used as a classification parameter for applications in materials and environmental sciences. However, directly measuring the permittivity of individual microparticles has proven to be challenging due to the convoluting effect of particle size on capacitive signals. To overcome this challenge, a sensing platform is built to independently obtain both the geometric and electric size of a particle, by combining impedance cytometry and microwave resonant sensing in a microfluidic chip. This way the microwave signal, which contains both permittivity and size effects, can be normalized by the size information provided by impedance cytometry to yield an intensive parameter that depends only on permittivity. The technique allows to differentiate between polystyrene and soda lime glass microparticles—below 22 µm in diameter—with more than 94% accuracy, despite their similar sizes and electrical characteristics. Furthermore, it is shown that the same technique can be used to differentiate between normal healthy cells and fixed cells of the same geometric size. The technique offers a potential route for targeted applications such as environmental monitoring of microplastic pollution or quality control in pharmaceutical industry.
dc.identifier.doi10.1002/adma.202304072
dc.identifier.eissn1521-4095
dc.identifier.issn0935-9648
dc.identifier.urihttps://hdl.handle.net/11693/114580
dc.language.isoen
dc.publisherJohn Wiley and Sons Inc
dc.relation.isversionofhttps://dx.doi.org/10.1002/adma.202304072
dc.source.titleAdvanced Materials
dc.subjectClausius–Mossotti factor
dc.subjectDielectric characterization
dc.subjectImpedance cytome-try
dc.subjectMicroparticles
dc.subjectMicroplastics
dc.subjectMicrowave resonators
dc.subjectMicrowave sen-sors
dc.titlePermittivity-based microparticle classification by the integration of impedance cytometry and microwave resonators
dc.typeArticle

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Department of Mechanical Engineering
Institute of Materials Science and Nanotechnology (UNAM)