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.
Characterizing Plant Polysaccharides Using Size-Exclusion Chromatography
April 4th 2025With green chemistry becoming more standardized, Leena Pitkänen of Aalto University analyzed how useful size-exclusion chromatography (SEC) and asymmetric flow field-flow fractionation (AF4) could be in characterizing plant polysaccharides.
Rethinking Chromatography Workflows with AI and Machine Learning
April 1st 2025Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how rethinking chromatography data systems can overcome them.