Classic small-molecule drugs are traditional pharmaceutical compounds—typically under 500–700 Da—that act through inhibition, activation, or modulation of a single biological target. Common classes include enzyme inhibitors, chelators, NSAIDs, antibiotics, and opiates.
Despite their established chemistry, classic small molecules can present challenges such as metal-surface adsorption, poor peak shape, carryover, and variable recovery—particularly for acidic, phosphorylated, or metal-binding compounds.
LC-MS enables sensitive, selective analysis of small molecules by combining chromatographic separation with mass-based detection. It supports screening, purity assessment, metabolite identification, and quantitative analysis throughout drug discovery and development.
Carryover can compromise data quality by introducing contamination between injections, leading to inaccurate quantitation and repeat analyses. This is especially problematic when analyzing small molecules in complex biological matrices.
Carryover can be reduced by using surface-optimized LC hardware, such as Premier Columns, which minimize analyte–surface interactions that contribute to adsorption and residual signal between injections.
Emerging small-molecule modalities include PROTACs, molecular glues, radiopharmaceuticals, and other multifunctional compounds. These molecules are often larger and more complex than classic small molecules and require advanced LC-MS strategies.
Yes. With the right LC-MS systems and surface-optimized technologies, consistent analytical strategies can be applied across classic small molecules and emerging modalities—reducing method redevelopment and improving data comparability.
Reproducible LC-MS data ensures confidence in structure-activity relationships (SAR), reduces rework, and enables reliable comparison of results across projects, teams, and time.
Metal surfaces in LC systems and columns can interact with certain analytes, leading to adsorption, signal loss, and poor peak shape. Surface-engineered LC technologies help mitigate these effects to improve recovery and consistency.
Waters LC-MS solutions are designed to support drug discovery by providing scalable systems, consistent workflows, and surface-optimized technologies that improve data quality for both classic and emerging small-molecule drugs.
Columns that deliver high recovery, reproducible peak shape, and low carryover are critical for small-molecule drug discovery. Surface-optimized columns help reduce analyte adsorption and improve consistency across diverse chemical classes.
Learn how Waters can accelerate your small molecule characterization today.