Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting

Microscale laser emissions have emerged as a promising approach for information encoding and anti-counterfeiting for their feature-rich spectra and high sensitivity to the surrounding environment. Compared with artificial materials, natural responsive biomaterials enable a higher level of complexity...

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Main Authors: Gong, Xuerui, Qiao, Zhen, Liao, Yikai, Zhu, Song, Shi, Lei, Kim, Munho, Chen, Yu-Cheng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162052
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1620522022-10-03T02:55:24Z Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting Gong, Xuerui Qiao, Zhen Liao, Yikai Zhu, Song Shi, Lei Kim, Munho Chen, Yu-Cheng School of Electrical and Electronic Engineering School of Chemical and Biomedical Engineering Engineering::Electrical and electronic engineering Anti-Counterfeiting Biolasers Microscale laser emissions have emerged as a promising approach for information encoding and anti-counterfeiting for their feature-rich spectra and high sensitivity to the surrounding environment. Compared with artificial materials, natural responsive biomaterials enable a higher level of complexity and versatile ways for tailoring optical responses. However, precise control of lasing wavelengths and spatial locations with biomolecules remains a huge challenge. Here, a biologically programmable laser, in which the lasing can be manipulated by biomolecular activities at the nanoscale, is developed. Tunable lasing wavelengths are achieved by exploiting the swelling properties of enzyme-responsive hydrogel droplets in a Fabry-Pérot microcavity. Both experimental and theoretical means demonstrate that inner 3D network structures and external curvature of the hydrogel droplets lead to different lasing thresholds and resonance wavelengths. Finally, inkjet-printed multiwavelength laser encoding and anti-counterfeiting are showcased under different scalabilities and environments. Hyperspectral laser images are utilized as an advanced feature for a higher level of security. The biologically encoded laser will provide a new insight into the development of biosynthetic and bioprogrammable laser devices, offering new opportunities for secure communication and smart sensing. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) This research was supported by A*STAR under its AME IRG Grant (Project No. A20E5c0085). This research was also supported by Ministry of Education, Singapore, under grant AcRF TIER 1-2021-T1-001-040 RG46/21. 2022-10-03T02:55:23Z 2022-10-03T02:55:23Z 2022 Journal Article Gong, X., Qiao, Z., Liao, Y., Zhu, S., Shi, L., Kim, M. & Chen, Y. (2022). Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting. Advanced Materials, 34(10), e2107809-. https://dx.doi.org/10.1002/adma.202107809 0935-9648 https://hdl.handle.net/10356/162052 10.1002/adma.202107809 34918404 2-s2.0-85123213575 10 34 e2107809 en A20E5c0085 AcRF TIER 1-2021-T1-001-040 RG46/21 Advanced Materials © 2022 Wiley-VCH GmbH. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Anti-Counterfeiting
Biolasers
spellingShingle Engineering::Electrical and electronic engineering
Anti-Counterfeiting
Biolasers
Gong, Xuerui
Qiao, Zhen
Liao, Yikai
Zhu, Song
Shi, Lei
Kim, Munho
Chen, Yu-Cheng
Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
description Microscale laser emissions have emerged as a promising approach for information encoding and anti-counterfeiting for their feature-rich spectra and high sensitivity to the surrounding environment. Compared with artificial materials, natural responsive biomaterials enable a higher level of complexity and versatile ways for tailoring optical responses. However, precise control of lasing wavelengths and spatial locations with biomolecules remains a huge challenge. Here, a biologically programmable laser, in which the lasing can be manipulated by biomolecular activities at the nanoscale, is developed. Tunable lasing wavelengths are achieved by exploiting the swelling properties of enzyme-responsive hydrogel droplets in a Fabry-Pérot microcavity. Both experimental and theoretical means demonstrate that inner 3D network structures and external curvature of the hydrogel droplets lead to different lasing thresholds and resonance wavelengths. Finally, inkjet-printed multiwavelength laser encoding and anti-counterfeiting are showcased under different scalabilities and environments. Hyperspectral laser images are utilized as an advanced feature for a higher level of security. The biologically encoded laser will provide a new insight into the development of biosynthetic and bioprogrammable laser devices, offering new opportunities for secure communication and smart sensing.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Gong, Xuerui
Qiao, Zhen
Liao, Yikai
Zhu, Song
Shi, Lei
Kim, Munho
Chen, Yu-Cheng
format Article
author Gong, Xuerui
Qiao, Zhen
Liao, Yikai
Zhu, Song
Shi, Lei
Kim, Munho
Chen, Yu-Cheng
author_sort Gong, Xuerui
title Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
title_short Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
title_full Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
title_fullStr Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
title_full_unstemmed Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
title_sort enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
publishDate 2022
url https://hdl.handle.net/10356/162052
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