Confident and sensitive profiling of lipid nanoparticle raw materials and impurity identification using a LC/CAD/HRAM-MS method with inverse gradient

Application note | 003384 Biopharma Quantifying impurities in cationic lipids raw materials with the inverse gradient method using LC-CAD-MS Authors Application benefits Sissi White , Sven Hackbusch , 1 2 • Enable the quantification of impurities even in the absence…

The role of universal detection in modern liquid chromatography Michael Heidorn September 21st, 2022 The world leader in serving science 1 [email protected] | 21-September-2022 What is universal detection? • A universal detector is characterized by providing a response for every…

Application note | 000465 UHPLC-CAD Characterization of lipid nanoparticle (LNP) composition using UHPLC-CAD Authors Application benefits Sissi White1, Ken Cook 2, Mark Netsch3, • Simple UHPLC method for characterization of the lipid components of LNPs • Universal response shows relative…

Application brief | 003866 Pharma and biopharma Sensitive cationic lipids impurities analysis with quantitation by charged aerosol detection and simultaneous mass confirmation by MS Authors Application benefits Sissi White1, Susanne Fabel2, Highlight the sensitivity and repeatability of the LC-CAD-MS inverse…