Fingerprint detection and using intercalated CdSe nanoparticles on non-porous surfaces |
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Authors: | Manuel Algarra Ksenija Radotić Aleksandar Kalauzi Dragosav Mutavdžić Aleksandar Savić José Jiménez-Jiménez Enrique Rodríguez-Castellón Joaquim CG Esteves da Silva Juan José Guerrero-González |
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Institution: | 1. Centro de Geología da Universidade do Porto, Departamento de Geociências, Ambiente e Ordenamemto do Territorio do Porto, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre 687, 4169-007 Porto, Portugal;2. Institute for Multidisciplinary Research, University of Belgrade, Kneza Višeslava 1, 11000 Beograd, Serbia;3. Departamento de Química Inorgánica, Facultad de Ciencias, Universidad de Málaga, Campus de Teatinos s/n, 29071Málaga, Spain;4. Centro de Investigação em Química (CIQ-UP). Faculdade de Ciências da Universidade do Porto, Rua do Campo Alegre 687, 4169-007 Porto, Portugal;5. Policía Científica, Cuerpo Nacional de Policía, Málaga, Spain |
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Abstract: | A fluorescent nanocomposite based on the inclusion of CdSe quantum dots in porous phosphate heterostructures, functionalized with amino groups (PPH-NH2@CdSe), was synthesized, characterized and used for fingerprint detection. The main scopes of this work were first to develop a friendly chemical powder for detecting latent fingerprints, especially in non-porous surfaces; their further intercalation in PPH structure enables not to spread the fluorescent nanoparticles, for that reason very good fluorescent images can be obtained. The fingerprints, obtained on different non-porous surfaces such as iron tweezers, mobile telephone screen and magnetic band of a credit card, treated with this powder emit a pale orange luminescence under ultraviolet excitation. A further image processing consists of contrast enhancement that allows obtaining positive matches according to the information supplied from a police database, and showed to be more effective than that obtained with the non-processed images. Experimental results illustrate the effectiveness of proposed methods. |
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Keywords: | Fingerprints Fluorescent nanoparticles Log-normal model Nonlinear fitting Quantum dots |
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