GC & GC/MS webinars Week 16/2022
LabRulez: GC & GC/MS webinars Week 16/2022
In the week from April 18, 2022, the following webinars await you in the field of GC and GC/MS.
👉 Search and filter in almost 2 000 GC, LC and MS webinars.
1. Agilent Technologies: New GC Column Technology for Old Problems in Fatty Acid Analysis
- Tu, 19.4.2022, 12:00 (CEST - Prague)
Join this webinar as it will provide you with a guideline and tips to find out if you are using the right GC column for the right fat and oil application.
2. Agilent Technologies: Most Frequently Asked Questions: GC and GC/MS Scientist Round Table Discussion
- Tu, 19.4.2022, 17:00 (CEST - Prague)
In technical support, we provide support to thousands of customers per month and have a compiled a list of some of our most frequently asked questions so you can get the answers you need.
3. Separation Science/Agilent Technologies: Gas Chromatographic Analysis of Biofuels – A Survey of Solutions to Assure Quality and Performance for Today’s Energy Needs
- We, 20.4.2022, 16:00 (CEST - Prague)
Separation Science, in collaboration with Agilent, offers a presentation that will introduce GC solutions for testing biofuels.
4. Technology Networks/JEOL/Phenomenex: The Analytical Landscape of Cannabis Testing Session 4: Residual Solvents & Terpenes by GC-MS
- We, 20.4.2022, 18:00 (CEST - Prague)
Discover the capabilities of the Jeol JMS-Q1500GC quadrupole GC-MS system and Zebron Phenomenex GC products for cannabis testing.
5. C&EN/Agilent Technologies: Analysis of Gas Products from Carbon Dioxide Utilization Technologies by Gas Chromatography
- Th, 21.4.2022, 17:00 (CEST - Prague)
In this webinar, learn about an efficient multi-dimensional, multi-detector gas chromatography technique to speed CO2 reduction research.
6. Agilent Technologies: OpenLab CDS Reporting – How to perform “Auto calculations” with the help of Intelligent Reports
- Fr, 22.4.2022, 11:30 (CEST - Prague)
We will look into how to create basic and auto calculation reports using OpenLab CDS thus saving time and errors related to manual transcription.