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Biosensors, Chemical Sensors, and Sensing Technologies for Forensic Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: 25 January 2025 | Viewed by 1910

Special Issue Editor


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Guest Editor
Department of Environmental Toxicology, Texas Tech University, 2500 Broadway, Lubbock, TX 79409, USA
Interests: vibrational spectroscopy; machine learning; forensic science; disease biomarkers

Special Issue Information

Dear Colleagues,

There is a high demand in forensic science of analytical methods that are rapid, easy-to-use, inexpensive, non-destructive with selective capabilities that would make them ideal for presumptive or confirmatory testing of forensic evidence. Advances in instrumentations, innovative algorithm development, proficient handling of large data, and computing resources are gaining momentum and despite the momentary limitations in forensic practical applications, it clearly endorses the recent developments of different sensors for future applications in the forensic field. In this special issue, we address all types of chemical sensors and biosensors designed specifically for detection and analysis of trace evidence.

Dr. Lenka Halámková
Guest Editor

Manuscript Submission Information

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Keywords

  • biosensor
  • chemical sensor
  • forensic evidence
  • detection
  • classification
  • analytical techniques

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Published Papers (1 paper)

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Research

16 pages, 1763 KiB  
Article
Raman Spectroscopy for the Time since Deposition Estimation of a Menstrual Bloodstain
by Alexis Weber, Anna Wójtowicz, Renata Wietecha-Posłuszny and Igor K. Lednev
Sensors 2024, 24(11), 3262; https://doi.org/10.3390/s24113262 - 21 May 2024
Viewed by 1337
Abstract
Forensic chemistry plays a crucial role in aiding law enforcement investigations by applying analytical techniques for the analysis of evidence. While bloodstains are frequently encountered at crime scenes, distinguishing between peripheral and menstrual bloodstains presents a challenge. This is due to their similar [...] Read more.
Forensic chemistry plays a crucial role in aiding law enforcement investigations by applying analytical techniques for the analysis of evidence. While bloodstains are frequently encountered at crime scenes, distinguishing between peripheral and menstrual bloodstains presents a challenge. This is due to their similar appearance post-drying. Raman spectroscopy has emerged as a promising technique capable of discriminating between the two types of bloodstains, offering invaluable probative information. Moreover, estimating the time since deposition (TSD) of bloodstains aids in crime scene reconstruction and prioritizing what evidence to collect. Despite extensive research focusing on TSD estimations, primarily in peripheral bloodstains, a crucial gap exists in determining the TSD of menstrual bloodstains. This study demonstrates how Raman spectroscopy effectively analyzes biological samples like menstrual blood, showing similar aging patterns to those of peripheral blood and provides proof-of-concept models for determining the TSD of menstrual blood. While this work shows promising results for creating a universal model for bloodstain age determination, further testing with more donors needs to be conducted before the implementation of this method into forensic practice. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Self-Supervised and Zero-Shot Learning in Multi-modal Raman Light Sheet Microscopy
Authors: Pooja Kumari; Johann Kern; Matthias Raedle
Affiliation: CeMOS Research and Transfer Center, Mannheim University of Applied Sciences
Abstract: Keywords: Deep Learning, Unsupervised Learning, Zero-Shot Learning, Self-Supervised Learning, Super-resolution, Denoising, Light sheet Microscopy, Raman scattering; Rayleigh scattering; Fluorescence, Spheroid, Multimode

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