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An SPR Microfluidic Devices for Identification of Human Herpesvirus 4 And SARS-Cov-2

  • Han Yun Hsieh
  • , Ray Chang
  • , Er Yuan Chuang
  • , Yu Jui Fan
  • , Pei Kuen Wei
  • , Horn Jiunn Sheen

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

Abstract

Recent studies reveal that the severity of COVID-19 may be correlated with the presence of HHV-4. Although numerous devices can detect HHV-4 or SARS-CoV-2, to our knowledge, no device has been used to detect both simultaneously.Herein, we design a device that can perform a duplex polymerase chain reaction (PCR) in a microfluidic channel and detect amplicons through a surface plasmon resonance (SPR) sensor. This device can reduce the required PCR time by 55% compared to traditional instruments while yielding a similar amount of amplicon. Moreover, the device can detect desired genes by extracting cells infected with HHV-4/SARS-CoV-2.

Original languageEnglish
Title of host publication2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages987-989
Number of pages3
ISBN (Electronic)9784886864352
Publication statusPublished - 2023
Event22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023 - Kyoto, Japan
Duration: Jun 25 2023Jun 29 2023

Publication series

Name2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

Conference

Conference22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
Country/TerritoryJapan
CityKyoto
Period6/25/236/29/23

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

Keywords

  • duplex PCR
  • human herpesvirus 4
  • label-free
  • nanoslit-based plasmonics
  • polymerase chain reaction
  • SARS-CoV-2

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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