Assessment of the impact of fabric composition and color on the visualization of biological traces and lubricants using the Foster + Freeman Crime-lite® ML PRO

The effective visualisation of biological traces, such as blood, semen, saliva, urine, and lubricants, is crucial in forensic investigations. The Foster + Freeman Crime-lite® ML PRO is a tool used to detect these traces by employing different wavelengths of light. This study investigates how fabric...

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Bibliographic Details
Main Authors: Dagmara Lisman, Ilona Savochka, Emilia Żarczyńska, Andrzej Ossowski
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Forensic Science International: Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665910724000501
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Summary:The effective visualisation of biological traces, such as blood, semen, saliva, urine, and lubricants, is crucial in forensic investigations. The Foster + Freeman Crime-lite® ML PRO is a tool used to detect these traces by employing different wavelengths of light. This study investigates how fabric type and colour influence the effectiveness of this device in identifying biological and lubricant traces. This study evaluates how fabric composition and colour affect the effectiveness of biological trace and lubricant visualisation using the Foster + Freeman Crime-lite® ML PRO device. Various fabrics and substances were analysed to determine the optimal conditions for detection. Both natural and synthetic fabrics were tested under different lighting conditions provided by the device. The visibility of biological traces and lubricants was examined across multiple wavelengths, including the visible and infrared spectra. Key parameters such as fabric composition, colour, and stain concentration were assessed. The findings indicate that both the chemical composition and colour of fabrics play a significant role in the effectiveness of biological trace and lubricant visualisation. The Foster + Freeman Crime-lite® ML PRO device was effective in detecting biological traces when optimal conditions were met. However, the variability in results highlights the need for tailored approaches depending on fabric type and colour.
ISSN:2665-9107