Apply mass spectrometry to toxicology, forensics and drug testing.
Mass Spectrometry for Toxicology and Drug Testing teaches the analytical workhorse behind modern toxicology, forensics and clinical drug testing. You learn how mass spectrometry works and why its sensitivity and specificity make it the reference method, how it is coupled with chromatography (LC-MS and GC-MS), and how methods are developed and validated to detect and quantify drugs, toxins and metabolites. The course covers sample preparation, interpretation of spectra, and the quality and regulatory standards that toxicology demands. You finish able to reason about a mass-spectrometry method for a toxicology question. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
This course covers mass spectrometry for toxicology and drug testing — instrumentation, method development and interpretation for detecting drugs, toxins and metabolites.
1. Explain mass spectrometry principles and instrumentation.
2. Understand LC-MS and GC-MS coupling.
3. Develop and validate toxicology methods.
4. Prepare samples and interpret spectra.
5. Apply quality and regulatory standards.
• Toxicologists and forensic scientists
• Analytical and clinical-lab chemists
• Pharma and drug-testing professionals
• Students of analytical science
• An understanding of MS in toxicology and drug testing.
• The ability to reason about method development.
• A foundation in analytical toxicology.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Analyze the fundamental principles of mass spectrometry and its applications in toxicology and drug testing • Develop a comprehensive understanding of the core biological principles underlying mass spectrometry-based analytical techniques • Evaluate the role of mass spectrometry in the detection and quantification of toxic substances and drugs in biological systems
Configure and operate mass spectrometry instruments for optimal performance and data quality • Design and implement laboratory protocols for sample preparation, data collection, and quality control • Optimize mass spectrometry-based methods for the analysis of complex biological samples
Apply bioinformatics tools and computational methods for the analysis and interpretation of mass spectrometry data • Develop computational workflows for the processing and analysis of large-scale mass spectrometry datasets • Integrate bioinformatics and computational approaches with mass spectrometry-based analytical techniques
Design and develop research studies using mass spectrometry-based analytical techniques • Evaluate the methodological and experimental design considerations for mass spectrometry-based research studies • Develop and implement experimental protocols for the collection and analysis of mass spectrometry data
Apply advanced mass spectrometry-based techniques for the analysis of complex biological systems • Develop and implement translational research studies using mass spectrometry-based analytical techniques • Evaluate the applications and limitations of advanced mass spectrometry-based techniques in toxicology and drug testing
Evaluate the regulatory requirements and compliance considerations for mass spectrometry-based analytical techniques • Develop and implement bioethics and safety protocols for mass spectrometry-based research studies • Apply safety standards and guidelines for the handling and analysis of biological samples using mass spectrometry
Analyze the industry applications and career pathways for mass spectrometry professionals in toxicology and drug testing • Develop and evaluate case studies of mass spectrometry-based analytical techniques in real-world settings • Evaluate the role of mass spectrometry in the development of new technologies and products in the field of toxicology and drug testing
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Mass spectrometry instruments |
| Covered Tool / Platform | bioinformatics software |
| Covered Tool / Platform | computational tools |
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