journal article·2025-12-21Open access

High-Capacity Optical Fingerprinting Using Dual-Peak Photoluminescence of Quantum Dots

Syeda Ramsha Ali, Stephen V. Kershaw, Yinglong Zhu, Ahmed A. Z. Dawoud, Yueyu Guo, Kees De Groot, Nema M. Abdelazim

Abstract

High Resolution Image Download MS PowerPoint Slide 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 CuInS 2 /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 × 10 18 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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Research context

OpenAlex topics: Physical Unclonable Functions (PUFs) and Hardware Security · Random lasers and scattering media · Quantum Dots Synthesis And Properties

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electronics and Computer Science

University of Southampton

Department of Physics and Materials Science

City University of Hong Kong

Microelectronics Thrust

The Hong Kong University of Science and Technology (Guangzhou)

School of Biological Sciences

Funding

Electronics and Computer Science, University of Southampton · Engineering and Physical Sciences Research Council

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