Trapping and detection of single viruses in an optofluidic chip
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...
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sg-ntu-dr.10356-1598312022-07-04T05:24:45Z Trapping and detection of single viruses in an optofluidic chip Shi, Yuzhi Nguyen, Kim Truc Chin, Lip Ket Li, Zhenyu Xiao, Limin Cai, Hong Yu, Ruozhen Huang, Wei Feng, Shilun Yap, Peng Huat Liu, Jingquan Zhang, Yi Liu, Ai Qun School of Electrical and Electronic Engineering Lee Kong Chian School of Medicine (LKCMedicine) School of Mechanical and Aerospace Engineering Engineering::Electrical and electronic engineering Optical Trapping Single Virus Detection 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). 2022-07-04T05:24:45Z 2022-07-04T05:24:45Z 2021 Journal Article Shi, Y., Nguyen, K. T., Chin, L. K., Li, Z., Xiao, L., Cai, H., Yu, R., Huang, W., Feng, S., Yap, P. H., Liu, J., Zhang, Y. & Liu, A. Q. (2021). Trapping and detection of single viruses in an optofluidic chip. ACS Sensors, 6(9), 3445-3450. https://dx.doi.org/10.1021/acssensors.1c01350 2379-3694 https://hdl.handle.net/10356/159831 10.1021/acssensors.1c01350 34505501 2-s2.0-85115627374 9 6 3445 3450 en NRFCRP13-2014-01 MOE2017-T3-1-001 ACS Sensors © 2021 American Chemical Society. All rights reserved. |
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Engineering::Electrical and electronic engineering Optical Trapping Single Virus Detection Shi, Yuzhi Nguyen, Kim Truc Chin, Lip Ket Li, Zhenyu Xiao, Limin Cai, Hong Yu, Ruozhen Huang, Wei Feng, Shilun Yap, Peng Huat Liu, Jingquan Zhang, Yi Liu, Ai Qun Trapping and detection of single viruses in an optofluidic chip |
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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. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Shi, Yuzhi Nguyen, Kim Truc Chin, Lip Ket Li, Zhenyu Xiao, Limin Cai, Hong Yu, Ruozhen Huang, Wei Feng, Shilun Yap, Peng Huat Liu, Jingquan Zhang, Yi Liu, Ai Qun |
format |
Article |
author |
Shi, Yuzhi Nguyen, Kim Truc Chin, Lip Ket Li, Zhenyu Xiao, Limin Cai, Hong Yu, Ruozhen Huang, Wei Feng, Shilun Yap, Peng Huat Liu, Jingquan Zhang, Yi Liu, Ai Qun |
author_sort |
Shi, Yuzhi |
title |
Trapping and detection of single viruses in an optofluidic chip |
title_short |
Trapping and detection of single viruses in an optofluidic chip |
title_full |
Trapping and detection of single viruses in an optofluidic chip |
title_fullStr |
Trapping and detection of single viruses in an optofluidic chip |
title_full_unstemmed |
Trapping and detection of single viruses in an optofluidic chip |
title_sort |
trapping and detection of single viruses in an optofluidic chip |
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2022 |
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https://hdl.handle.net/10356/159831 |
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1738844808218148864 |