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Detection and visualization of human tears using alternate light sources for forensic purposes
Affiliation:Department of Forensic Science, School of Sciences, JAIN (Deemed-to-be-University), Bengaluru, Karnataka, India
Abstract:The current scientific techniques for locating body fluids focus on quick and effective methodologies for easy and reliable identification. Efficient detection and identification of body fluids play a vital role in establishing the ‘corpus delecti’ of a crime. Non-destructive techniques such as the use of Alternate Light Sources (ALS) have been exploited for crime scene searches over large areas and detection of body fluids such as blood, semen, vaginal secretions, and saliva on a range of substrates. Tears are rarely found but can be considered as potential body fluid evidence due to their unique biochemical and molecular properties. Tears are secreted in response to physical or emotional stimuli. Due to the small volume of secretions, they are often overlooked in the crime scene. Tears may be found on surfaces such as clothing, bedding, tissue, handkerchief, or balaclava. The use of ALS to locate tears on tissue paper and fabric surfaces was tested which were not apparent to the naked eye. Tears stains were successfully detected on surfaces of forensic interest with varying sample ages up to three months with a broad excitation spectrum between 254 nm and 410 nm. Dried stains on tissue paper and fabric substrates were better detected with sharp margins, clear stain pattern visibility, and fluorescence intensity in comparison with moist and fresh stains. Tears stains can hence be detected with the use of ALS and suitable filter combinations under normal conditions and do not require any specific settings to locate them. These findings are suggestive for easy and quick identification of tears on large surfaces and as a presumptive test for forensic casework evidence examination.
Keywords:Tears analysis  Tears detection using ALS  Forensic serology  Body fluid Identification  Fresh and aged tears
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