Multiplexed molecular biomarker analysis using an expanded library of nanoelectronically barcoded particles enabled through machine learning analysis

Jianye Sui, Pengfei Xie, Zhongtian Lin, Mehdi Javanmard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Electronically barcoded micro-particles have been demonstrated for use in various multiplexed molecular biomarker assays. Traditional optical and plasmonic methods for barcoding are capable of high throughput and high sensitivity, but require bulky instrumentation for readout, which cannot be easily made into a portable device. Previously, we reported a novel impedance based barcoding technique by fabricating tunable nano-capacitors on micro-particle surfaces thus modulating the overall particle impedance. In this work, we expand the library of barcoded particles using atomic layer deposited oxides of varying thickness and dielectric permittivity and study the effect of thickness and dielectric permittivity using multi-frequency impedance flow cytometry and utilize machine learning to classify different particle barcodes.

Original languageEnglish (US)
Title of host publication2018 IEEE Micro Electro Mechanical Systems, MEMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages444-447
Number of pages4
ISBN (Electronic)9781538647820
DOIs
StatePublished - Apr 24 2018
Event31st IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2018 - Belfast, United Kingdom
Duration: Jan 21 2018Jan 25 2018

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
Volume2018-January

Other

Other31st IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2018
Country/TerritoryUnited Kingdom
CityBelfast
Period1/21/181/25/18

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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