CHROMacademy Classroom
GC-MS Data Interpretation
Live Online
Instructor-led Training
This course explores the potential of GC analysis with mass spectral detection from a qualitative perspective. You will learn how to systematically analyse a mass spectrum to elucidate the underlying structural information.
Starting from first principles, the training introduces the fundamental chemistry of mass spectrometry and builds up to an examination of the most common fragmentation patterns.
This course is not instrument-specific and is suitable for anyone involved in mass spectrometry, from the analysts that wants to obtain good spectral data to the lab manager who needs to understand spectral interpretation in order to validate that data.
This course is for users of GC-MS equipment, or anyone interested in structural elucidation by GC-MS.
CHROMacademy Classroom
Delivery Details
Duration: This course is delivered over two Live 4 hour sessions. Run on consecutive days.
Time: Each daily session runs from 9am – 1pm (Eastern Time Zone)
Number of delegates: Maximum of 10.
Price: $810
Course Overview
What You Will Learn:
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General concepts and benefits
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Most critical parameters for HS sampling
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GC requirements and specifics of HS instrumentation
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Guidelines to method development
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Quantitative approaches to HS analysis
Previous Experience:
Good knowledge of chromatography and associated data.
Course content:
Foundation
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Headspace principles
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Boyle's Law
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Dalton's Law of partial pressures
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Matrix effects
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Instrument Design
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Vial pressurisation methods
Pressure Testing
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Sampling valve and carrier flow
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Loop filling
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Transfer line
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Common problems and troubleshooting
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Headspace Vials
Vial types
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Closure types
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Closure quality and pressure integrity
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Vial size
Internal Standards
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Selecting an internal standard
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Evaluating and optimising internal standard performance
GC Requirements
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Inlet types
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Carrier requirements
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Liner types
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Oven conditions and focusing
Development and Optimisation of Conditions
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Solvent selection
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Oven conditions
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Fill volume
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Use of salt
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Sampling conditions
Total Headspace Extraction
Multiple Headspace Extraction
Standard Addition Method