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Title: Sculpting nanoparticle dynamics for single-bacteria-level screening and direct binding-efficiency measurement
Authors: Shi, Yu Zhi
Xiong, Sha
Zhang, Yi
Chin, Lip Ket
Chen, Yan-Yu
Zhang, Jing Bo
Ser, Wee
Hoi, Lim Siau
Liedberg, Bo
Yap, Peng Huat
Tsai, Din Ping
Liu, Ai Qun
Zhang, T. H.
Larson, A.
Wu, J. H.
Chen, T. N.
Yang, Z. C.
Hao, Y. L.
Qiu, C.-W.
Keywords: Single-bacteria-level Screening
Particle Trapping and Binding
Issue Date: 2018
Source: Shi, Y. Z., Xiong, S., Zhang, Y., Chin, L. K., Chen, Y.–Y., Zhang, J. B., et al. (2018). Sculpting nanoparticle dynamics for single-bacteria-level screening and direct binding-efficiency measurement. Nature Communications, 9(1), 815-.
Series/Report no.: Nature Communications
Abstract: Particle trapping and binding in optical potential wells provide a versatile platform for various biomedical applications. However, implementation systems to study multi-particle contact interactions in an optical lattice remain rare. By configuring an optofluidic lattice, we demonstrate the precise control of particle interactions and functions such as controlling aggregation and multi-hopping. The mean residence time of a single particle is found considerably reduced from 7 s, as predicted by Kramer’s theory, to 0.6 s, owing to the mechanical interactions among aggregated particles. The optofluidic lattice also enables single-bacteria-level screening of biological binding agents such as antibodies through particle-enabled bacteria hopping. The binding efficiency of antibodies could be determined directly, selectively, quantitatively and efficiently. This work enriches the fundamental mechanisms of particle kinetics and offers new possibilities for probing and utilising unprecedented biomolecule interactions at single-bacteria level.
DOI: 10.1038/s41467-018-03156-5
Schools: School of Electrical and Electronic Engineering 
School of Materials Science & Engineering 
School of Mechanical and Aerospace Engineering 
School of Biological Sciences 
Lee Kong Chian School of Medicine (LKCMedicine) 
Research Centres: Centre for Biomimetic Sensor Science 
Rights: © 2018 The Author(s) (Nature Publishing Group). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit
Fulltext Permission: open
Fulltext Availability: With Fulltext
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