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Near‐Infrared‐Light‐Mediated Imaging of Latent Fingerprints based on Molecular Recognition
Author(s) -
Wang Jie,
Wei Ting,
Li Xinyang,
Zhang Binhao,
Wang Jiaxi,
Huang Chi,
Yuan Quan
Publication year - 2014
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.201308843
Subject(s) - aptamer , fingerprint (computing) , lysozyme , photoluminescence , fingerprint recognition , molecular recognition , fluorescence , artificial intelligence , computer science , selectivity , materials science , pattern recognition (psychology) , chemistry , biological system , nanotechnology , optoelectronics , biology , molecule , optics , biochemistry , microbiology and biotechnology , catalysis , physics , organic chemistry
Photoluminescence is one of the most sensitive techniques for fingerprint detection, but it also suffers from background fluorescence and selectivity at the expense of generality. The method described herein integrates the advantages of near‐infrared‐light‐mediated imaging and molecular recognition. In principle, upconversion nanoparticles (UCNPs) functionalized with a lysozyme‐binding aptamer were used to detect fingerprints through recognizing lysozyme in the fingerprint ridges. UCNPs possess the ability to suppress background fluorescence and make it possible for fingerprint imaging on problematic surfaces. Lysozyme, a universal compound in fingerprints, was chosen as the target, thus simultaneously meeting the selectivity and generality criteria in photoluminescence approaches. Fingerprints on different surfaces and from different people were detected successfully. This strategy was used to detect fingerprints with cocaine powder by using UCNPs functionalized with a cocaine‐binding aptamer.