Practical Essentials of Solid-Phase Micro-Extraction (SPME) - Virtual Classroom Training

16 March 2021 09:00-12:30, United Kingdom


Introduction
This live online training course teaches how to use SPME as an automated sample preparation technique for GC & GC-MS / HPLC & LC-MS in great detail.

The course explains the theory behind Solid-Phase Micro-Extraction (SPME), how to modify samples to improve results, how to create SPME methods, analyse samples and the parameters which can be optimised.

This course will cover Headspace-SPME and Immersion-SPME, SPME phases, SPME instrumentation & set up, maintenance and troubleshooting. It will introduce related techniques like SBSE, SPE-TD and SPDE.

Delegates will learn the individual steps and processes of analysis and the various parameters that can be optimised to improve method robustness and sensitivity.

The course also teaches how to maintain each technique on an instrument, along with the maintenance and troubleshooting problems commonly encountered.

Delegates will learn the tips & tricks of the technique and the benefits of using SPE in the analysis of their samples.

The training is universal, applicable to all makes and models of instrumentation.

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

This course is taught live in a virtual classroom and offers a fully interactive experience, with instrument parts and consumables to see. Delegates are able to ask live questions; either by using their microphone or by typing into the Q&A or chat boxes.

Duration: 3.25 hours.
Scheduled course price: £162.50 + VAT per delegate.
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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