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NQR sensitive embedded signatures for authenticating additively manufactured objects

Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we propose t...

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Autores principales: Masna, Naren Vikram Raj, Huan, Junjun, Mandal, Soumyajit, Bhunia, Swarup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190304/
https://www.ncbi.nlm.nih.gov/pubmed/34108501
http://dx.doi.org/10.1038/s41598-021-91531-6
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author Masna, Naren Vikram Raj
Huan, Junjun
Mandal, Soumyajit
Bhunia, Swarup
author_facet Masna, Naren Vikram Raj
Huan, Junjun
Mandal, Soumyajit
Bhunia, Swarup
author_sort Masna, Naren Vikram Raj
collection PubMed
description Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we propose the novel concept of material biometrics, in which the intrinsic chemical properties of structural materials are used to generate unique identifiers for authenticating individual products. For this purpose, the objects to be protected are modified via programmable additive manufacturing of built-in chemical “tags” that generate signatures depending on their chemical composition, quantity, and location. We report a material biometrics-enabled manufacturing flow in which plastic objects are protected using spatially-distributed tags that are optically invisible and difficult to clone. The resulting multi-bit signatures have high entropy and can be non-invasively detected for product authentication using [Formula: see text] Cl nuclear quadrupole resonance (NQR) spectroscopy.
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spelling pubmed-81903042021-06-10 NQR sensitive embedded signatures for authenticating additively manufactured objects Masna, Naren Vikram Raj Huan, Junjun Mandal, Soumyajit Bhunia, Swarup Sci Rep Article Automatic recognition of unique characteristics of an object can provide a powerful solution to verify its authenticity and safety. It can mitigate the growth of one of the largest underground industries—that of counterfeit goods–flowing through the global supply chain. In this article, we propose the novel concept of material biometrics, in which the intrinsic chemical properties of structural materials are used to generate unique identifiers for authenticating individual products. For this purpose, the objects to be protected are modified via programmable additive manufacturing of built-in chemical “tags” that generate signatures depending on their chemical composition, quantity, and location. We report a material biometrics-enabled manufacturing flow in which plastic objects are protected using spatially-distributed tags that are optically invisible and difficult to clone. The resulting multi-bit signatures have high entropy and can be non-invasively detected for product authentication using [Formula: see text] Cl nuclear quadrupole resonance (NQR) spectroscopy. Nature Publishing Group UK 2021-06-09 /pmc/articles/PMC8190304/ /pubmed/34108501 http://dx.doi.org/10.1038/s41598-021-91531-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Masna, Naren Vikram Raj
Huan, Junjun
Mandal, Soumyajit
Bhunia, Swarup
NQR sensitive embedded signatures for authenticating additively manufactured objects
title NQR sensitive embedded signatures for authenticating additively manufactured objects
title_full NQR sensitive embedded signatures for authenticating additively manufactured objects
title_fullStr NQR sensitive embedded signatures for authenticating additively manufactured objects
title_full_unstemmed NQR sensitive embedded signatures for authenticating additively manufactured objects
title_short NQR sensitive embedded signatures for authenticating additively manufactured objects
title_sort nqr sensitive embedded signatures for authenticating additively manufactured objects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190304/
https://www.ncbi.nlm.nih.gov/pubmed/34108501
http://dx.doi.org/10.1038/s41598-021-91531-6
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