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DETECTION OF MICRO RIBONUCLEIC ACIDS FROM EXTRACTED EXTRACELLULAR VESICLES FOR CARDIOVASCULAR DISEASES BY USING AN INTEGRATED MICROFLUIDIC SYSTEM

  • Hong-Lin Cheng
  • , Chien-Yu Fu
  • , Yen-Wen Chen
  • , Yu-Lin Wang
  • , Chih-Chen Chen
  • , Gwo-Bin Lee*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Recently, micro ribonucleic acids (miRNAs) extracted from extracellular vesicles (EVs) have been recognized as promising biomarkers for early detection of cardiovascular diseases (CVDs). However, the detection and quantification of miRNAs by using the existing methods are relatively labor-intensive and time-consuming. In this work, an integrated microfluidic system equipped with highly sensitive field-effect transistors which is capable of performing EVs extraction, EVs lysis, target miRNAs extraction and miRNAs detection was reported. The entire detection process could be automated within three hours on a single chip and the detection limit of miRNAs was observed to be in a femtomolar range, which meets the requirement of physiological concentrations. This integrated microfluidic system has great potential to be a tool for early detection of CVDs.
Original languageEnglish
Title of host publication2018 IEEE Micro Electro Mechanical Systems (MEMS)
PublisherIEEE
Pages1205-1208
ISBN (Electronic)9781538647820
DOIs
Publication statusPublished - Jan 2018
Externally publishedYes
Event31st IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2018) - Belfast, United Kingdom
Duration: 21 Jan 201825 Jan 2018
https://www.mems2018.org/

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
PublisherIEEE
ISSN (Print)1084-6999
ISSN (Electronic)2160-1968

Conference

Conference31st IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2018)
PlaceUnited Kingdom
CityBelfast
Period21/01/1825/01/18
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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