Journal
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Volume 60, Issue 44, Pages 23790-23796Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202109532
Keywords
deep learning; information encoding; lanthanide-doped nanocrystals; luminescence
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Funding
- National Natural Science Foundation of China [51872183]
- Shanghai Municipal Education Commission [19SG38]
- Shanghai Education Development Foundation [19SG38]
- National Science and Engineering Research Council (NSERC)
- Concordia University
- NSERC [RGPIN2016-06655]
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The research focuses on a new composition of Er3+-based lanthanide NCs that can produce color-switchable output under irradiation with different light wavelengths. By utilizing the Vis/NIR-II multimodal emissions of NCs and deep learning, visible light information storage and decoding in pork tissue was successfully demonstrated for information security purposes.
Modulating the emission wavelengths of materials has always been a primary focus of fluorescence technology. Nanocrystals (NCs) doped with lanthanide ions with rich energy levels can produce a variety of emissions at different excitation wavelengths. However, the control of multimodal emissions of these ions has remained a challenge. Herein, we present a new composition of Er3+-based lanthanide NCs with color-switchable output under irradiation with 980, 808, or 1535 nm light for information security. The variation of excitation wavelengths changes the intensity ratio of visible (Vis)/near-infrared (NIR-II) emissions. Taking advantage of the Vis/NIR-II multimodal emissions of NCs and deep learning, we successfully demonstrated the storage and decoding of visible light information in pork tissue.
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