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Novel Anticounterfeiting Solution Based on 2D Materials Produced by Electrochemical Exfoliation.
Read, Oliver; Parvez, Khaled; Boyes, Matthew; Song, Xiuju; Wang, Jingjing; Fiori, Gianluca; Casiraghi, Cinzia.
Afiliação
  • Read O; Department of Chemistry, University of Manchester, Manchester, M13 9PL, UK.
  • Parvez K; Department of Chemistry, University of Manchester, Manchester, M13 9PL, UK.
  • Boyes M; Department of Chemistry, University of Manchester, Manchester, M13 9PL, UK.
  • Song X; Department of Chemistry, University of Manchester, Manchester, M13 9PL, UK.
  • Wang J; Department of Chemistry, University of Manchester, Manchester, M13 9PL, UK.
  • Fiori G; Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, 56122, Italy.
  • Casiraghi C; Department of Chemistry, University of Manchester, Manchester, M13 9PL, UK.
Small ; : e2307232, 2023 Dec 10.
Article em En | MEDLINE | ID: mdl-38072768
ABSTRACT
This work demonstrates the use of 2D materials (2DMs) as identification tags by exploiting their unique shape. Electrochemical exfoliation enables the production of large quantities of optically accessible 2DMs with diverse morphology and large lateral sizes up to 20 µm. Image processing techniques are used to facilitate shape identification and matching within a dataset of 500 unique nanosheets. Rotational and translation invariant shape matching with no false positive matches between over 100 000 unique shape pairings is shown. The approach enables individual nanosheets to be deposited onto products, such as packaging of luxury goods, pharmaceuticals, banknotes, etc., as a unique seal of authenticity. Quick inspection of the nanoscale tag by optical microscopy allows the shape to be compared against the genuine dataset, enabling unique identification. The optical features of 2D materials, such as Raman and/or photoluminescence signals can be used as an additional chemical fingerprint, making the anticounterfeiting solution very robust.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article