Real-Time Fluorescence In Situ Visualization of Latent Fingerprints Exceeding Level 3 Details Based on Aggregation-Induced Emission

被引:201
作者
Wang, Ya-Long [1 ]
Li, Chong [1 ]
Qu, Hong-Qing [1 ]
Fan, Cheng [1 ]
Zhao, Peng-Ju [1 ]
Tian, Rui [1 ]
Zhu, Ming-Qiang [1 ]
机构
[1] Huazhong Univ Sci & Technol, Coll Chem & Chem Engn, Sch Opt & Elect Informat, Wuhan Natl Lab Optoelect, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
FINGERMARK DETECTION; NANOPOWDERS; NANOPARTICLES; ENHANCEMENT; RECOGNITION;
D O I
10.1021/jacs.0c00124
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A water-soluble probe, TPA-1OH, with aggregation-induced emission activity is synthesized and used for expedient real-time fluorescence in situ visualization of latent fingerprints (LFPs). A TPA-1OH aqueous solution exhibits nonfluorescence in pure water while strong fluorescence upon molecular aggregation induced by addition of poor solvent. Fluorescence images of LFPs on a variety of substrates, including rough surfaces such as walls, bricks, and paper, are developed under 405 nm light, by soaking in or spraying with a TPA-1OH aqueous solution (30 mu M) without any necessity of organic cosolvents and post-treatment steps. The probe is noncytotoxic at a concentration lower than 50 mu M. The development process of LFPs is demonstrated by real-time fluorescence in situ imaging. The exponential relationship between the relative fluorescence intensity and time is deduced from the fitting curve. The LFP images developed by TPA-1OH are evident and intact enough to allow that the level 1-3 details are displayed and analyzed. Noteworthily, the level 3 details of LFPs such as the fingerprint ridge width and the characteristics of the sweat pores are evidently visible under fluorescence microscopy. Even the nanoscopic details exceeding level 3 are visualized under super-resolution microscopy with sub-50 nm optical resolution.
引用
收藏
页码:7497 / 7505
页数:9
相关论文
共 33 条
  • [1] Emerging fields in fingermark (meta) detection - a critical review
    Becue, Andy
    [J]. ANALYTICAL METHODS, 2016, 8 (45) : 7983 - 8003
  • [2] Red-Emissive Carbon Dots for Fingerprints Detection by Spray Method: Coffee Ring Effect and Unquenched Fluorescence in Drying Process
    Chen, Jie
    Wei, Ji-Shi
    Zhang, Peng
    Niu, Xiao-Qing
    Zhao, Wei
    Zhu, Ze-Yang
    Ding, Hui
    Xiong, Huan-Ming
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2017, 9 (22) : 18429 - 18433
  • [3] Enhancement of Image Contrast, Stability, and SALDI-MS Detection Sensitivity for Latent Fingerprint Analysis by Tuning the Composition of Silver-Gold Nanoalloys
    Cheng, Yu-Hong
    Zhang, Yue
    Chau, Siu-Leung
    Lai, Samuel Kin-Man
    Tang, Ho-Wai
    Ng, Kwan-Ming
    [J]. ACS APPLIED MATERIALS & INTERFACES, 2016, 8 (43) : 29668 - 29675
  • [4] Highly Efficient Photothermal Semiconductor Nanocomposites for Photothermal Imaging of Latent Fingerprints
    Cui, Jiabin
    Xu, Suying
    Guo, Chang
    Jiang, Rui
    James, Tony D.
    Wang, Leyu
    [J]. ANALYTICAL CHEMISTRY, 2015, 87 (22) : 11592 - 11598
  • [5] Revealing the spatial distribution of chemical species within latent fingermarks using vibrational spectroscopy
    Dorakumbura, Buddhika N.
    Boseley, Rhiannon E.
    Becker, Thomas
    Martin, Danielle E.
    Richter, Andrea
    Tobin, Mark J.
    van Bronswjik, Wilhelm
    Vongsvivut, Jitraporn
    Hackett, Mark J.
    Lewis, Simon W.
    [J]. ANALYST, 2018, 143 (17) : 4027 - 4039
  • [6] Carbon dot based nanopowders and their application for fingerprint recovery
    Fernandes, D.
    Krysmann, M. J.
    Kelarakis, A.
    [J]. CHEMICAL COMMUNICATIONS, 2015, 51 (23) : 4902 - 4905
  • [7] A tetraphenylethene-based dye for latent fingerprint analysis
    Jin, Xiaodong
    Xin, Ran
    Wang, Shifan
    Yin, Wenzhu
    Xu, Tongxiang
    Jiang, Yang
    Ji, Xuran
    Chen, Luyang
    Liu, Jingning
    [J]. SENSORS AND ACTUATORS B-CHEMICAL, 2017, 244 : 777 - 784
  • [8] NIR luminescence for the detection of latent fingerprints based on ESIPT and AIE processes
    Jin, Xiaodong
    Dong, Libo
    Di, Xiaoyu
    Huang, Hai
    Liu, Jingning
    Sun, Xiaoli
    Zhang, Xueqiong
    Zhu, Hongjun
    [J]. RSC ADVANCES, 2015, 5 (106): : 87306 - 87310
  • [9] Kanodarwala F. K., 2019, Forensic Sci, V1, P1341
  • [10] Lai FL, 2018, NANO RES, V11, P1099, DOI [10.1007/s12274-017-1729-6, 10.1007/s12274-018-2073-1]