An all-in-one nanoprinting approach for the synthesis of a nanofilm library for unclonable anti-counterfeiting applications.


Journal

Nature nanotechnology
ISSN: 1748-3395
Titre abrégé: Nat Nanotechnol
Pays: England
ID NLM: 101283273

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 14 04 2022
accepted: 13 04 2023
medline: 6 6 2023
pubmed: 6 6 2023
entrez: 5 6 2023
Statut: ppublish

Résumé

In addition to causing trillion-dollar economic losses every year, counterfeiting threatens human health, social equity and national security. Current materials for anti-counterfeiting labelling typically contain toxic inorganic quantum dots and the techniques to produce unclonable patterns require tedious fabrication or complex readout methods. Here we present a nanoprinting-assisted flash synthesis approach that generates fluorescent nanofilms with physical unclonable function micropatterns in milliseconds. This all-in-one approach yields quenching-resistant carbon dots in solid films, directly from simple monosaccharides. Moreover, we establish a nanofilm library comprising 1,920 experiments, offering conditions for various optical properties and microstructures. We produce 100 individual physical unclonable function patterns exhibiting near-ideal bit uniformity (0.492 ± 0.018), high uniqueness (0.498 ± 0.021) and excellent reliability (>93%). These unclonable patterns can be quickly and independently read out by fluorescence and topography scanning, greatly improving their security. An open-source deep-learning model guarantees precise authentication, even if patterns are challenged with different resolutions or devices.

Identifiants

pubmed: 37277535
doi: 10.1038/s41565-023-01405-3
pii: 10.1038/s41565-023-01405-3
pmc: PMC10501905
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1027-1035

Subventions

Organisme : Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research)
ID : 13XP5050A

Informations de copyright

© 2023. The Author(s).

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Auteurs

Junfang Zhang (J)

Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Yuxin Liu (Y)

Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.
Department of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany.

Christian Njel (C)

Institute for Applied Materials (IAM) and Karlsruhe Nano Micro Facility (KNMFi), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, Germany.

Sebastian Ronneberger (S)

Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.
Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany.

Nadezda V Tarakina (NV)

Max Planck Institute of Colloids and Interfaces, Potsdam, Germany.

Felix F Loeffler (FF)

Max Planck Institute of Colloids and Interfaces, Potsdam, Germany. Felix.Loeffler@mpikg.mpg.de.

Classifications MeSH