Trapping and Detection of Single Viruses in an Optofluidic Chip
Autor: | Kim Truc Nguyen, Lip Ket Chin, Ai Qun Liu, Shilun Feng, Yi Zhang, Wei Huang, Jingquan Liu, Zhenyu Li, Ruozhen Yu, Hong Cai, Limin Xiao, Yuzhi Shi, Peng Huat Yap |
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Přispěvatelé: | School of Electrical and Electronic Engineering, Lee Kong Chian School of Medicine (LKCMedicine), School of Mechanical and Aerospace Engineering |
Rok vydání: | 2021 |
Předmět: |
Fluid Flow and Transfer Processes
Virus quantification Silicon photonics Microchannel Materials science business.industry viruses Process Chemistry and Technology Bioengineering Virus Trap (computing) Micromanipulation Immunolabeling Optical tweezers Quantum dot Viruses Electrical and electronic engineering [Engineering] Optical Trapping Optoelectronics business Instrumentation Single Virus Detection |
Zdroj: | ACS Sensors. 6:3445-3450 |
ISSN: | 2379-3694 |
DOI: | 10.1021/acssensors.1c01350 |
Popis: | 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. Ministry of Education (MOE) National Research Foundation (NRF) This work was supported by the Singapore National Research Foundation under the Competitive Research Program (NRFCRP13-2014-01), and the Singapore Ministry of Education (MOE) Tier 3 grant (MOE2017-T3-1-001). |
Databáze: | OpenAIRE |
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