Trapping and Detection of Single Viruses in an Optofluidic Chip

Yuzhi Shi, Kim Truc Nguyen, Lip Ket Chin, Zhenyu Li, Limin Xiao, Hong Cai, Ruozhen Yu, Wei Huang, Shilun Feng, Peng Huat Yap, Jingquan Liu, Yi Zhang, Ai Qun Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

20 Citations (Scopus)

Abstract

Accurate single virus detection is critical for disease diagnosis and early prevention, especially in view of current pandemics. Numerous detection methods have been proposed with the single virus sensitivity, including the optical approaches and immunoassays. However, few of them hitherto have the capability of both trapping and detection of single viruses in the microchannel. Here, we report an optofluidic potential well array to trap nanoparticles stably in the flow stream. The nanoparticle is bound with single viruses and fluorescence quantum dots through an immunolabeling protocol. Single viruses can be swiftly captured in the microchannel by optical forces and imaged by a camera. The number of viruses in solution and on each particle can be quantified via image processing. Our method can trap and detect single viruses in the 1 mL serum or water in 2 h, paving an avenue for the advanced, fast, and accurate clinical diagnosis, as well as the study of virus infectivity, mutation, drug inhibition, etc.

Original languageEnglish
Pages (from-to)3445-3450
Number of pages6
JournalACS Sensors
Volume6
Issue number9
DOIs
Publication statusPublished - 24 Sept 2021
Externally publishedYes

Keywords

  • immunolabeling protocol
  • near-field manipulation
  • optical trapping
  • silicon photonics
  • single virus detection
  • virus quantification

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

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