Mr Vytautas Remeskevicius

Research project: Development and validation of a large scale screening and quantification methodology for commonly detected drugs in coroners samples.

Abstract

In the field of forensic toxicology, coroners samples typically require large scale drug testing methodologies that are capable of detecting a wide range of drugs with differing chemical structures in a variety of matrices, including blood, urine and hair. This project seeks to develop a testing suite that will enable Kingston University to outsource its methodology and protocols to industry partners in line with coroners requirements. This technique will focus on detecting drugs in blood, urine and hair. The panel of drugs chosen reflects the most commonly encountered drugs in coronial cases and those that are typically associated with drug overdoses.

  • Research degree: PhD
  • Title of project: Development and validation of a large scale screening and quantification methodology for commonly detected drugs in coroners samples.

Biography

I have a BSc First class with honours in Forensic Science from Kingston University and Masters by Research in Science from Kingston University. Before doing my masters I worked in a ISO/IEC 17025 accredited laboratory,  ALS Food and pharmaceuticals, as a laboratory technician. During my work  I gained skills in independent laboratory work, sample preparation for analytical tests with Instruments like GC-FID, ICP-OES, theoretical and practical knowledge of good laboratory practices, following SOPs. From my studies I gained theoretical and practical knowledge of forensics, chain of custody, analytical science and toxicology. During my masters I have developed a LC-MS-MS method for analysis of Section 5a drugs for Road traffic act 1988

Areas of research interest

  • Forensics
  • Toxicology
  • Analytical Chemistry
  • Drugs of Abuse
  • Postmortem toxicology

Qualifications

  • BSc with honours in Forensic Science, Kingston University
  • Master of Science by Research, Kingston University