A Vacuum-Driven Microfluidic Array for Multi-Step Sample Digitalization

Jiumei Hu, Liben Chen, Pengfei Zhang, Kuangwen Hsieh, Hui Li, Tza Huei Wang

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

Abstract

We present herein a facile vacuum-driven microfluidic device that is capable of multi-step sample digitalization based on the gas permeability of PDMS. The device features 1) a suction layer that is connected to an external vacuum to generate a continuous negative pressure within the device, and 2) an outlet-free microarray layer with treelike multi-level bifurcated microchannels connecting to 4096 dead-end microwells to realize multiple loading steps until all the microwells being filled. To efficiently prevent sample evaporation at high temperatures, we use a glass slide that is pre-poured with thermosetting oil to seal the gas-permeable PDMS. Moreover, we demonstrated successful detection of single-cell methicillin-resistant Staphylococcus aureus (MRSA) with three loading steps targeting the resistance marker gene MecA via digital PCR amplification on the device.

Original languageEnglish (US)
Title of host publication21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1004-1007
Number of pages4
ISBN (Electronic)9781665412674
DOIs
StatePublished - Jun 20 2021
Externally publishedYes
Event21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021 - Virtual, Online, United States
Duration: Jun 20 2021Jun 25 2021

Publication series

Name21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021

Conference

Conference21st International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS 2021
Country/TerritoryUnited States
CityVirtual, Online
Period6/20/216/25/21

Keywords

  • Digital PCR
  • Microfluidic
  • Multi-step loading
  • Single-cell

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Instrumentation

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