Gas chromatography–mass spectrometry (GC–MS) and ion chromatography profile wasabi and mustard heat and acidity.
|Webcasts|March 19, 2021
Taking the Trouble out of Troubleshooting: GC Tips and Tricks
Author(s)Agilent Technologies, Inc.
***Live: Friday, March 19, 2021 at 11am EDT | 8am PDT | 3pm GMT | 4pm CET*** Looking for invaluable tools and techniques to help prevent GC and GC–MS downtime and improve productivity? Brush up on best practices and learn new tricks to troubleshoot and maintain your instrument. ***On Demand until Mar. 19, 2022***
This webcast will discuss some of the most common chromatographic problems that you may experience in gas chromatography, and how to take a logical approach to finding the root cause and correcting the problem in an efficient manner. Invaluable tools and techniques to solve typical GC and GC–MS problems will be presented, showcasing good practices for maintenance and the best consumables to improve overall productivity and decrease instrument downtime.
Key Learning Objectives:
- How to logically maintain your instrument to improve GC and GCMS performance
- Learn how to save valuable time by implementing specific troubleshooting tools and techniques
- Recommendations on “front-end” preventive maintenance to decrease instrument downtime
Speaker: Mark Sinnott, Application Engineer/Scientist, Agilent Technologies
Time and Date: Friday, March 19, 2021 at 11am EDT | 8am PDT | 3pm GMT | 4pm CET
On demand available until Mar. 19, 2022.
Sponsor: Agilent
Register Free:
Related to this article
How feasible is it to integrate this Bayesian graph-theory methodology into existing commercial chromatography software workflows for semi-automated data curation in routine analytical laboratories?
Reversed-phase high-performance liquid chromatography (RP-HPLC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) show frequent milking alters cobra venom toxin makeup.
Gabriel Vivó-Truyols outlines the benefits and challenges of combining graph theory with Bayesian statistics to automate peak assignment and alignment.
This week, Chromatography Online’s coverage spanned lipidomics-based early cancer detection, career paths in separation science, machine learning and uncertainty-driven approaches to LC method development, new EU wastewater rules for pharmaceutical micropollutants, automated Separation Quality Factor (SQF) evaluation in chromatography data systems, and solutions to GLP-1 peptide analysis challenges.
Gabriel Vivó-Truyols from the Spanish Council for Scientific Research, Madrid, Spain. discusses his work on using graph theory and Bayesian statistics for peak assignment and chromatographic alignment.
Gas chromatography (GC) analysis ties prenatal mindfulness to shifts in placental fatty acids.
Gas chromatography–mass spectrometry (GC–MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC–qTOF–MS) reveal metabolic shifts in tricuspid regurgitation.
Trending on LCGC International
1
GLP-1 Peptide Analysis: Challenges and Solutions
2
HPLC–DAD Method Tracks Semaglutide and Tirzepatide Stability
3
Industry Roundup: Waters Posts Strong Third Quarter as LC–MS and Chromatography Consumables Drive Growth, Acquires Ion Mobility Pioneer MOBILion
4
LC–MS/MS Dried Blood Spot Test for Galactosemia
5