Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162052
Title: Enzyme-programmable microgel lasers for information encoding and anti-counterfeiting
Authors: Gong, Xuerui
Qiao, Zhen
Liao, Yikai
Zhu, Song
Shi, Lei
Kim, Munho
Chen, Yu-Cheng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: 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
Project: A20E5c0085
AcRF TIER 1-2021-T1-001-040 RG46/21
Journal: Advanced Materials
Abstract: 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.
URI: https://hdl.handle.net/10356/162052
ISSN: 0935-9648
DOI: 10.1002/adma.202107809
Rights: © 2022 Wiley-VCH GmbH. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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