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.
As regulatory scrutiny increases and detection requirements tighten, laboratories are facing a new question: How can TFA be measured reliably, sensitively, and at scale?
Glycosylation is one of the more structurally diverse and biologically impactful PTMs in protein therapeutics. Both N‑linked and O‑linked glycans influence protein folding, stability, and biological activity. Given these effects on biotherapeutics, glycosylation is a closely monitored critical quality attribute (CQA). Comprehensive and site‑specific characterization of glycosylation is essential for informed decision‑making throughout drug discovery and development.
Warranty expiration is more than an administrative milestone—it is a transition point that can significantly impact instrument uptime, laboratory productivity, operating budgets, and scientific outcomes.
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