Literature DB >> 19082169

SECM for imaging and detection of latent fingerprints.

Meiqin Zhang1, Hubert H Girault.   

Abstract

Fingerprint analysis is one of the most important methods used for personal identification of evidence found at a crime scene for forensic purposes. Using scanning electrochemical microscopy (SECM) imaging, researchers can visualize the ultrastructure of human fingerprints on wet porous and non-porous surfaces by combining with silver-staining or multi-metal-deposition (MMD) technology. SECM allows investigators to image chemical activities of fingerprint surfaces with an impressively high resolution, such as the third level valuable information for confirming an identification. This methodology takes a significant advantage of the high sensitivity of SECM towards the small variation of electrochemical reaction rates at the substrate surface. In this review, we highlight the recent breakthroughs in ultrasensitive imaging and detection of latent fingerprints with a special focus on a novel application of SECM. We will also discuss our perspectives on future research directions.

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Year:  2008        PMID: 19082169     DOI: 10.1039/b815336a

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

1.  Infrared spectroscopic imaging of latent fingerprints and associated forensic evidence.

Authors:  Tsoching Chen; Zachary D Schultz; Ira W Levin
Journal:  Analyst       Date:  2009-07-24       Impact factor: 4.616

2.  Candle Soot Coating for Latent Fingermark Enhancement on Various Surfaces.

Authors:  Qianhui Wei; Yu Zhu; Shouliang Liu; Yongjie Gao; Xiaolong Li; Mi Shi; Xueji Zhang; Meiqin Zhang
Journal:  Sensors (Basel)       Date:  2017-07-11       Impact factor: 3.576

3.  Preparation of Novel Magnetic Nanomaterials Based on "Facile Coprecipitation" for Developing Latent Fingerprints (LFP) in Crime Scenes.

Authors:  Jingwei Wan; Lei Chen; Wei Li; Shengfeng Cui; Binfang Yuan
Journal:  ACS Omega       Date:  2022-01-07
  3 in total

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