title: SECM for imaging and detection of latent fingerprints.
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.
authors.affiliation: Department of Chemistry, University of Warwick, Coventry, UKCV4 7AL.
authors.forename: Meiqin
authors.initials: M
authors.lastname: Zhang
authors.forename: Hubert H
authors.initials: HH
authors.lastname: Girault
mesh_terms: D003878:Dermatoglyphics; D044707:Forensic Sciences / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008163:Luminescent Measurements / Q000379:methods; D008855:Microscopy, Electron, Scanning / Q000379:methods*; D053758:Nanoparticles; D011506:Proteins; D016622:Silver Staining
chemical_list: D011506:Proteins