High-capacity optical fingerprinting using dual-peak photoluminescence of quantum dots
High-capacity optical fingerprinting using dual-peak photoluminescence of quantum dots
Counterfeiting and unauthorized duplication continue to pose significant threats across industries, ranging from electronics to pharmaceuticals. In response to this challenge, we present a novel optical fingerprinting platform based on cadmium-free CuInS2/ZnS quantum dots (QDs), which exhibit a distinctive dual-peak photoluminescence (PL) signature. Time-resolved PL (TRPL) analysis confirms the distinct recombination origins of the two peaks, supporting the assignment to core- and interfacial/shell-related states. Our approach extracts two intrinsically coupled emissions from a single QD type, where both peaks originate within the same nanostructure, making the fingerprint inherently unclonable. This phenomenon enables the generation of rich tunable spectral profiles across a selected range of excitation wavelengths. Using spectral-to-digital processing, we extracted three features from both emission peaks under 10 excitation wavelengths to generate binary fingerprints. The resulting theoretical encoding capacity is estimated to be 1.2 × 1018 compared to an experimental error probability of ∼3 × 10–17. These findings validate the strength and security of the proposed fingerprinting system, highlighting its practical potential for anticounterfeiting applications.
3086–3101
Ali, Syeda Ramsha
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Kershaw, Stephen V.
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Zhu, Yinglong
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Dawoud, Ahmed A.Z.
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Guo, Yueyu
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De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Abdelazim, Nema M.
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21 December 2025
Ali, Syeda Ramsha
fee21608-e81d-46ae-b5a7-2b571b7f442e
Kershaw, Stephen V.
c83f1c52-efb2-4c7b-9bae-4aabde037816
Zhu, Yinglong
74256491-5958-4dac-a80e-5011635b2a14
Dawoud, Ahmed A.Z.
01e458e9-68ea-45c1-9e8b-ef85e9ccc35e
Guo, Yueyu
6ca2713f-d0bf-4364-b957-4485136fef73
De Groot, Kees
92cd2e02-fcc4-43da-8816-c86f966be90c
Abdelazim, Nema M.
2ac8bd5e-cbf1-4d9a-adcb-65dedf244b9b
Ali, Syeda Ramsha, Kershaw, Stephen V., Zhu, Yinglong, Dawoud, Ahmed A.Z., Guo, Yueyu, De Groot, Kees and Abdelazim, Nema M.
(2025)
High-capacity optical fingerprinting using dual-peak photoluminescence of quantum dots.
ACS Applied Materials & Interfaces, 18 (1), .
(doi:10.1021/acsami.5c19508).
Abstract
Counterfeiting and unauthorized duplication continue to pose significant threats across industries, ranging from electronics to pharmaceuticals. In response to this challenge, we present a novel optical fingerprinting platform based on cadmium-free CuInS2/ZnS quantum dots (QDs), which exhibit a distinctive dual-peak photoluminescence (PL) signature. Time-resolved PL (TRPL) analysis confirms the distinct recombination origins of the two peaks, supporting the assignment to core- and interfacial/shell-related states. Our approach extracts two intrinsically coupled emissions from a single QD type, where both peaks originate within the same nanostructure, making the fingerprint inherently unclonable. This phenomenon enables the generation of rich tunable spectral profiles across a selected range of excitation wavelengths. Using spectral-to-digital processing, we extracted three features from both emission peaks under 10 excitation wavelengths to generate binary fingerprints. The resulting theoretical encoding capacity is estimated to be 1.2 × 1018 compared to an experimental error probability of ∼3 × 10–17. These findings validate the strength and security of the proposed fingerprinting system, highlighting its practical potential for anticounterfeiting applications.
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high-capacity-optical-fingerprinting-using-dual-peak-photoluminescence-of-quantum-dots
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Accepted/In Press date: 2 December 2025
Published date: 21 December 2025
Identifiers
Local EPrints ID: 509048
URI: http://eprints.soton.ac.uk/id/eprint/509048
ISSN: 1944-8244
PURE UUID: 6f674504-3be8-4cf0-8424-0892705a92a5
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Date deposited: 10 Feb 2026 17:50
Last modified: 11 Feb 2026 03:13
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Contributors
Author:
Syeda Ramsha Ali
Author:
Stephen V. Kershaw
Author:
Yinglong Zhu
Author:
Ahmed A.Z. Dawoud
Author:
Yueyu Guo
Author:
Nema M. Abdelazim
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