Citation: Xinyi Zhao, Yuai Duan, Zihan Liu, Hua Geng, Yaping Li, Zhongfeng Li, Tianyu Han. Mapping sweat pores for biometric identification based on a donor-acceptor hydrophilic fluorescent probe[J]. Chinese Chemical Letters, ;2025, 36(8): 110617. doi: 10.1016/j.cclet.2024.110617 shu

Mapping sweat pores for biometric identification based on a donor-acceptor hydrophilic fluorescent probe

Xinyi Zhao ^{, 1} ,
Yuai Duan ^{, 1} ,
Zihan Liu ,
Hua Geng ,
Yaping Li ,
Zhongfeng Li ,
Tianyu Han ^{, *,}

.
Department of Chemistry, Capital Normal University, Beijing 100048, China

hanty@cnu.edu.cn

Received Date: 29 August 2024
Revised Date: 26 October 2024
Accepted Date: 6 November 2024
Available Online: 7 November 2024

Figures(4)

Fluorescence-based imaging applications have been benefiting greatly from donor-acceptor (D-A)/donor-π-acceptor (D-π-A) fluorescent probes owing to their intramolecular charge transfer (ICT) nature and self-assembly behavior. In this study, we design and synthesize a hydrophilic D-A fluorescent probe, namely CHBA, which would self-assemble into interlaced textures down to nanoscale but disassemble by trace amount of water in fingertip area. Upon finger-pressing, it enables fingerprint imaging and covers level-1/2/3 fingerprint information, wherein the sweat pores can be mapped in both bright field model and fluorescence mode, capable of naked-eye-based similarity analysis for personal identity verification (PIV). Spectroscopic analysis and morphology study show that the working mechanism can be attributed to the selective water-erosion effect on the solid-liquid interphase under physical contact. The sweat pore information can be digitized by polar coordinate conversion, further allowing machine-learning-based analysis for PIV application. The final PIV accuracy reaches 100% for all the involved machine-learning models, with no erroneous judgements. A prototype of PIV system is constructed by integrating CHBA with artificial intelligence hardware, wherein the sweat pore imaging, data processing and the decision-making could be run in parallel, suggesting high feasibility in real-world application.
- Fluorescent imaging,
- Sweat pore imaging,
- Donor-acceptor,
- Fingerprinting,
- Fluorescent probe,
- Biometric identification
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