GEN-MKT-18-7897-A
Dec 19, 2019 | Blogs, Pharma | 0 comments
Over the last several years there has been a slow and steady progression within the LC-MS community to move traditional high-flow applications to lower flow rates. In particular, moving into the microflow regime has proven to be a simple adjustment in methodology that can result in a lot of gain for only a little pain. Microflow chromatography can provide an instant boost in sensitivity because of the increased ionization efficiency at lower flow rates. Additionally, microflow chromatography can lower solvent consumption and reagent costs and reduce downtime spent on routine instrument cleaning.
In the recent webinar Microflow Chromatography: The Key to More Sensitive Met ID, we discuss the benefits of microflow chromatography for metabolite ID applications. We compare microflow versus high flow for the identification of metabolites from several well-characterized drugs. The results are clear. Microflow provides:
As a follow-up to the webinar, we wanted to take the opportunity to answer some questions we received about using microflow for metabolite ID. After watching the presentation and reading our answers, we hope you will be convinced to consider microflow chromatography for your metabolite ID applications, too.
In the field of food chemistry and health, Prof. Nils Helge Schebb and his team at the University of Wuppertal are at the forefront of applying cutting-edge analytical methods to investigate how dietary components affect inflammation and chronic disease. Their work focuses on lipid mediators, particularly oxylipins, and how these molecules can be precisely measured and interpreted using liquid chromatography-tandem mass spectrometry (LC-MS).
Investing in a new liquid chromatography-mass spectrometry (LC-MS) system is a big decision, especially when your lab handles a wide variety of analytical tasks. With so many options out there, it’s easy to feel overwhelmed.
Useful FAQ document to enable researchers to focus on their scientific discoveries and insights rather than the complexities of data management.
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