GCMS webinars focusing on Sample prep - page 20

In this first episode, we’ll take a look at an essential yet very challenging part of the analytical workflow: Sample Preparation.

I often help people with pesticide testing in cannabis and will discuss some of the most important method criteria and performance experiments needed when establishing a pesticide method in your lab.

This is the 9th in a series of webinars on fundamental concepts in GC. This session will cover Method Development: Things to consider, Carrier gas and Detector selection, Liner choice, Derivatisation.

In this webinar, Limian Zhao and Dr. Xia Yang from Agilent Technologies will present a complete workflow for the analysis of multi-class, multi-residue pesticides in fatty food matrices.

In this presentation, two senior scientists from Agilent will discuss their experience and lessons learned over the past several years for the analysis of residual pesticides in cannabis.

This virtual food summit will provide insight on the latest trends and issues in the industry and how Agilent has developed systems and applications to meet the latest requirements.

Automating sample derivatization for FAME characterization is key to release labor workload, reduce hazardous chemical exposure and get highly repeatable data for fat content profiling in food.

Automation is much more than an autosampler. An automated workflow for priority semivolatile contaminants in water helps laboratories to efficiently handle samples load by saving labor time and reducing costs.

Workflow starting with consumables, showing a fully automated method on the Thermo Scientific TriPlus RSH robotic sampler and detection with the Thermo Scientific TSQ 9000 GC-MS/MS.

This webinar explains the terminology commonly used in SPE, common formats and extraction modes and then uses this information to explain how to develop and optimise SPE methods in your lab.