Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities
Self-assembled biological structures have played a significant role in many living systems for its functionality and distinctiveness. Here, we experimentally demonstrate that the random dynamic behavior of strong light-matter interactions in complex biological structures can provide hidden informati...
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sg-ntu-dr.10356-1601242022-07-13T02:50:50Z Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities Gong, Chaoyang Qiao, Zhen Zhu, Song Wang, Wenjie Chen, Yu-Cheng School of Electrical and Electronic Engineering School of Chemical and Biomedical Engineering Engineering::Bioengineering Self-Assembly Amyloid Fibrils Self-assembled biological structures have played a significant role in many living systems for its functionality and distinctiveness. Here, we experimentally demonstrate that the random dynamic behavior of strong light-matter interactions in complex biological structures can provide hidden information on optical coupling in a network. The concept of biophotonic lasing network is therefore introduced, where a self-assembled human amyloid fibril network was confined in a Fabry-Perot optical cavity. Distinctive lasing patterns were discovered from self-assembled amyloids with different structural dimensions (0D, 1D, 2D, and 3D) confined in a microcavity. Network laser emission exhibiting evidence of light coupling at different wavelengths and locations was spectrally resolved. Dynamic changes of lasing patterns can therefore be interpreted into a graph to reveal the optical correlation in biophotonic networks. Our findings indicate that each graph represents the highly unclonable features of a self-assembled network which can sensitively respond to environmental stimulus. This study offers the potential for studying dynamic biological networks through amplified interactions, shedding light on the development of biologically controlled photonic devices, biosensing, and information encryption. Agency for Science, Technology and Research (A*STAR) Nanyang Technological University This research is supported by A*STAR under its AME IRG Grant (Project No. A20E5c0085; Agency for Science, Technology and Research). We acknowledge the Internal Grant from NTU. 2022-07-13T02:50:49Z 2022-07-13T02:50:49Z 2021 Journal Article Gong, C., Qiao, Z., Zhu, S., Wang, W. & Chen, Y. (2021). Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities. ACS Nano, 15(9), 15007-15016. https://dx.doi.org/10.1021/acsnano.1c05266 1936-0851 https://hdl.handle.net/10356/160124 10.1021/acsnano.1c05266 34533023 2-s2.0-85115992242 9 15 15007 15016 en A20E5c0085 ACS Nano © 2021 American Chemical Society. All rights reserved. |
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Engineering::Bioengineering Self-Assembly Amyloid Fibrils Gong, Chaoyang Qiao, Zhen Zhu, Song Wang, Wenjie Chen, Yu-Cheng Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
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Self-assembled biological structures have played a significant role in many living systems for its functionality and distinctiveness. Here, we experimentally demonstrate that the random dynamic behavior of strong light-matter interactions in complex biological structures can provide hidden information on optical coupling in a network. The concept of biophotonic lasing network is therefore introduced, where a self-assembled human amyloid fibril network was confined in a Fabry-Perot optical cavity. Distinctive lasing patterns were discovered from self-assembled amyloids with different structural dimensions (0D, 1D, 2D, and 3D) confined in a microcavity. Network laser emission exhibiting evidence of light coupling at different wavelengths and locations was spectrally resolved. Dynamic changes of lasing patterns can therefore be interpreted into a graph to reveal the optical correlation in biophotonic networks. Our findings indicate that each graph represents the highly unclonable features of a self-assembled network which can sensitively respond to environmental stimulus. This study offers the potential for studying dynamic biological networks through amplified interactions, shedding light on the development of biologically controlled photonic devices, biosensing, and information encryption. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Gong, Chaoyang Qiao, Zhen Zhu, Song Wang, Wenjie Chen, Yu-Cheng |
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Article |
author |
Gong, Chaoyang Qiao, Zhen Zhu, Song Wang, Wenjie Chen, Yu-Cheng |
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Gong, Chaoyang |
title |
Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
title_short |
Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
title_full |
Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
title_fullStr |
Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
title_full_unstemmed |
Self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
title_sort |
self-assembled biophotonic lasing network driven by amyloid fibrils in microcavities |
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2022 |
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https://hdl.handle.net/10356/160124 |
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1738844912679387136 |