Abstract

Recently, the diagnostic methods used by scientists in forensic examinations have enormously expanded. Metabolomics provides an important contribution to analytical method development. The main purpose of this review was to investigate and summarize the most recent applications of metabolomics in forensic science. The primary research method was an extensive review of available international literature in PubMed. The keywords “forensic” and “metabolomics” were used as search criteria for the PubMed database scan. Most authors emphasized the analysis of different biological sample types using chromatography methods. The presented review is a summary of recently published implementations of metabolomics in forensic science and types of biological material used and techniques applied. Possible opportunities for valuable metabolomics’ applications are discussed to emphasize the essential necessities resulting in numerous nontargeted metabolomics’ assays.

Highlights

  • Metabolites 2021, 11, 801. https://When discussing forensic science, its multidisciplinary nature must be addressed.Over the past years, diagnostic methods have flourished

  • The complexity of analytical instrumentation used within forensic medicine has enormously changed and improved over the last decades

  • A wide range of methods are currently accessible in thanatometabolomics, and mass spectrometry (MS)

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Summary

Introduction

Metabolites 2021, 11, 801. https://When discussing forensic science, its multidisciplinary nature must be addressed.Over the past years, diagnostic methods have flourished. When discussing forensic science, its multidisciplinary nature must be addressed. The ongoing need for highly specific and highly sensitive analytical methods continues to increase very rapidly. Providing accurate results is crucial when considering kinship testing, cause of death determination, and the pronouncement of guilt, for example. Metabolic alterations that occur in an organism are suggested to be highly valuable in these cases. The tremendous volume of data obtained during profiling of a cell’s metabolome requires comprehensive and sophisticated analytical strategies [1]

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