A Portable Device Integrated with Aligned Carbon Nanotubes for Sensitive Virus Capture and Detection

Yin Ting Yeh, Huaguang Lu, Si Yang Zheng, And Mauricio Terrones

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

2 Scopus citations

Abstract

Point-of-care virus diagnosis is highly desirable in worldwide infectious disease control. Here we report a hand-held device for capturing viruses by applying physical size based exclusion inside a point-of-care device integrated with vertically aligned carbon nanotube (VACNT) nanostructures to achieve label-free and high throughput virus capture. The microfluidic device is constructed from a VACNT channel wall synthesized bottom-up via chemical vapor deposition (CVD). The VACNT has 117 nm average gap size and 97 porosity. By bonding with a polydimethylsiloxane (PDMS) cover sealing the top, the aqueous sample containing virus particles filter through the VACNT channel wall under negative pressure applied at the outlet end. We have demonstrated that the device is capable of filtering 50 μL of PBS containing 6.3 × 104 counts of lentivirus particles in 10 minutes with 97 of capture efficiency, quantified by the cell infectious titration technique.

Original languageEnglish (US)
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6072-6075
Number of pages4
ISBN (Electronic)9781538636466
DOIs
StatePublished - Oct 26 2018
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: Jul 18 2018Jul 21 2018

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/TerritoryUnited States
CityHonolulu
Period7/18/187/21/18

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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