Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85548
Title: Nanometer-precision linear sorting with synchronized optofluidic dual barriers
Authors: Shi, Yuzhi
Xiong, Sha
Chin, Lip Ket
Zhang, Jingbo
Ser, Wee
Wu, Jiuhui
Chen, Tianning
Yang, Zhenchuan
Hao, Yilong
Liedberg, Bo
Yap, Peng Huat
Tsai, Din Ping
Qiu, Cheng-Wei
Liu, Ai Qun
Keywords: Nanometer Precision
Optofluidic Dual Barriers
Issue Date: 2018
Source: Shi, Y., Xiong, S., Chin, L. K., Zhang, J., Ser, W., Wu, J., et al. (2018). Nanometer-precision linear sorting with synchronized optofluidic dual barriers. Science Advances, 4(1), eaao0773-.
Series/Report no.: Science Advances
Abstract: The past two decades have witnessed the revolutionary development of optical trapping of nanoparticles, most of which deal with trapping stiffness larger than 10−8 N/m. In this conventional regime, however, it remains a formidable challenge to sort out sub–50-nm nanoparticles with single-nanometer precision, isolating us from a rich flatland with advanced applications of micromanipulation. With an insightfully established roadmap of damping, the synchronization between optical force and flow drag force can be coordinated to attempt the loosely overdamped realm (stiffness, 10−10 to 10−8 N/m), which has been challenging. This paper intuitively demonstrates the remarkable functionality to sort out single gold nanoparticles with radii ranging from 30 to 50 nm, as well as 100- and 150-nm polystyrene nanoparticles, with single nanometer precision. The quasi-Bessel optical profile and the loosely overdamped potential wells in the microchannel enable those aforementioned nanoparticles to be separated, positioned, and microscopically oscillated. This work reveals an unprecedentedly meaningful damping scenario that enriches our fundamental understanding of particle kinetics in intriguing optical systems, and offers new opportunities for tumor targeting, intracellular imaging, and sorting small particles such as viruses and DNA.
URI: https://hdl.handle.net/10356/85548
http://hdl.handle.net/10220/45176
DOI: 10.1126/sciadv.aao0773
Schools: School of Electrical and Electronic Engineering 
School of Materials Science & Engineering 
Lee Kong Chian School of Medicine (LKCMedicine) 
Research Centres: Centre for Biomimetic Sensor Science 
Rights: © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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