This month we interview Shijia Tang, principal scientist at Genentech, South San Francisco, CA, USA, about her innovative research focusing on the analysis of polymers and nanomaterials used in pharmaceutical analysis. Shijia decribes the benefits of an innovative in-line mixing modulation method for 2D-LC she developed for polymer and oligonucleotide analysis. The advantages of SEC–MALS to explore aggregation mechanisms for therapeutic constrained
peptides and mRNA-lipid nanoparticles and their aggregates are also discussed.
Shijia Teng is principal scientist at Genentech in South Francisco, CA, USA. Her research focuses on the analysis of polymers and nanomaterials used in pharmaceutical analysis. She has emerged as a key contributor in quantifying polymers in diverse pharmaceutical products, including amorphous solid dispersions and supramolecular hydrogels. Her research has enhanced the comprehension of polymer release kinetics and mechanisms in these intricate and emerging pharmaceutical formulations. She is an author of 15 publications including Journal of American Chemical Society, Analytical Chemistry, Journal of Chromatography A, and Molecular Pharmaceutics.
Characterization of Product Related Variants in Therapeutic Monoclonal Antibodies
July 16th 2024Navin Rauniyar and Xuemei Han of Tanvex Biopharma USA recently discussed how identifying product-related variants through characterization enables the recognition of impurities that compromise the quality and safety of drugs.
Next Generation Peak Fitting for Separations
July 9th 2024Separation scientists frequently encounter critical pairs that are difficult to separate in a complex mixture. To save time and expensive solvents, an effective alternative to conventional screening protocols or mathematical peak width reduction is called iterative curve fitting.