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Abstract
Anticounterfeiting labels based on physical unclonable functions (PUFs), as one of the powerful tools against counterfeiting, are easy to generate but difficult to duplicate due to inherent randomness. Gap-enhanced Raman tags (GERTs) with embedded Raman reporters show strong intensity enhancement and ultra-high photostability suitable for fast and repeated readout of PUF labels. Herein, we demonstrate a PUF label fabricated by drop-casting aqueous GERTs, high-speed read using a confocal Raman system, digitized through coarse-grained coding methods, and authenticated via pixel-by-pixel comparison. A three-dimensional encoding capacity of over 3 × 1015051 can be achieved for the labels composed of ten types of GERTs with a mapping resolution of 2500 pixels and quaternary encoding of Raman intensity levels at each pixel. Authentication experiments have ensured the robustness and security of the PUF system, and the practical viability is demonstrated. Such PUF labels could provide a potential platform to realize unbreakable anticounterfeiting.
Physical unclonable functions with inherent randomness are promising candidates for secure labeling systems. Here the authors demonstrate such a function using gap-enhanced Raman tags to create high-capacity and high-security labels for anticounterfeiting.
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1 Shanghai Jiao Tong University, State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai, People’s Republic of China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
2 Shanghai Jiao Tong University, State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai, People’s Republic of China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); Hangzhou Dianzi University, School of Automation, Hangzhou, People’s Republic of China (GRID:grid.411963.8) (ISNI:0000 0000 9804 6672)
3 Shanghai Jiao Tong University, State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai, People’s Republic of China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); Shanghai Jiao Tong University, Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); Shanghai Jiao Tong University, Department of Nuclear Medicine, Ruijin Hospital, School of Medicine, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293); Shanghai Med-X Engineering Research Center, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)