Permittivity-Based Classification by the Integration of Impedance Cytometry and Microwave Sensing

被引:0
|
作者
Tefek, Uzay [1 ]
Sari, Burak [2 ]
Alhmoud, Hashim [1 ]
Hanay, M. Selim [1 ]
机构
[1] Bilkent Univ, Dept Mech Engn, Bilkent, Turkiye
[2] Sabanci Univ, Elect & Elect Engn Dept, Istanbul, Turkiye
来源
2023 IEEE MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE, IMBIOC | 2023年
基金
欧洲研究理事会;
关键词
Impedance Cytometry; Microwave Sensors; Microplastics; Dielectric Characterization; Clausius-Mossotti Factor; Single-cell Analysis; Material Identification;
D O I
10.1109/IMBIOC56839.2023.10305104
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The direct determination of the permittivity of individual micro-objects has proven challenging due to the convoluting effect of their geometric size on capacitive signals (i.e., on the electric size of a particle). To overcome this challenge, we have developed a sensing platform to independently obtain both the geometric and electric size of organic and inorganic particles, by combining impedance cytometry and microwave resonant sensing in a microfluidic chip. This way the microwave signal is normalized to yield an intrinsic parameter that depends only on permittivity. The permittivity can then be used for material classification or single-cell interrogation.
引用
收藏
页码:34 / 36
页数:3
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