Applied Interpretation of GC-MS Mass Spectra - Virtual Classroom Training

24 March 2021 09:00 - 26 March 2021 17:00, United Kingdom


Introduction
This live, instructor-led online training course provides an introduction to mass spectral interpretation, providing all the fundamental tools and rules when examining high quality full-scan GC-MS data.

The course teaches how to obtain high quality mass spectra, simple techniques to recognise and elucidate spectra, how to observe fragmentation patterns and looks at how to use advance tools to interpret spectra.

Attendees will learn how to quickly recognise from the spectrum if the analyte is aliphatic or aromatic in nature, how to interpret the number of carbon atoms, heteroatoms and degree of unsaturation and understand isotopes, isomers, logical losses, cleavages and rearrangements to produce a mass spectral fingerprint of the compound. 

This course combines the essential theory of the technique along with practical exercises to apply the knowledge learned.

This course has been approved by the Royal Society of Chemistry for purposes of Continuing Professional Development (CPD).

This course is taught live in a virtual classroom and offers a fully interactive experience, with practical exercises to apply the knowledge learned. Delegates can ask live questions; either by using their microphone or by typing into the Q&A or chat boxes.

Duration: 20 hours over 3 days.
Scheduled course price: £1,060 + VAT per delegate.

Royal Society of Chemistry members receive a discount of 20% for this course (membership number required) if booked at least 24 hours in advance.
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To find out more and register visit: https://www.anthias.co.uk/training-courses/interpretation-mass-spectra-gcms
Venue
Online: live, instructor-led virtual classroom training

Online: live, instructor-led virtual classroom training, United Kingdom

Organised by
Independent experts providing training and consultancy in the analytical science fields of Gas Chromatography, Liquid Chromatography, Mass Spectrometry, Spectroscopy, Mass Spectrometry Imaging, Thermal Analysis, Physical & Structural Properties of Molecules, Statistical Analysis and all their related techniques.
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