Developments in Analysis of Drugs and Metabolites in Skeletal Remains
Tuesday, December 6, 2016 - 16:00 UTC
8am PST | 11am EST | 4pm GMT | 5pm CET
Bone remains are one of the least characterized and most challenging matrices for forensic toxicological analysis. Before the forensic utility of the matrix may be fully realized, we must understand the time course of drugs and metabolites, both distribution into and elimination from bone; dose-concentration relationships; and the interpretive value of drug detection or non-detection in a given sample.
The understanding of these phenomena requires controlled experiments—experiments where analysis of drugs and metabolites in bone elements throughout the skeleton follow known drug exposure conditions. Furthermore, bone is typically a forensically-relevant matrix only in cases where conventional matrices are unavailable; for example, where severe decomposition has rendered them as the sole choice for toxicological analysis.
This presentation will highlight the value that UPLC-based approaches have brought to the drug analysis of bone samples. In addition, we will discuss the most recent findings in analytical developments using UPLC-QTof mass spectrometry, including: dramatic enhancements in sensitivity, the concomitant reduction in sample masses required, and the number of metabolites that may be detected and/or identified. These developments have led to reductions in the amount of sample preparation required, thereby providing both reduced costs and significant increases in sample throughput.
What will I learn?
- How drug and metabolite analysis from bone is challenging, but achievable
- How UPLC-QTOF methods help to identify drugs and metabolites in a skeletal remains
- How SPE clean up plays an important role in the analysis of bone
Who should attend?
- Forensic toxicology laboratories
- Drug testing laboratories
- Institutes of legal medicine
- Police forensic laboratories
- State crime laboratories
- Medical Examiners or Pathologists
- People involved in toxicology research
- People interested in alternative sample matrices