In the Zone: Peptide Bioanalysis Sample Preparation

Bioanalysis is a critical part of the discovery and development of peptide therapeutics. LC–MS is an established technique for quantifying peptides; however, analysis of target analytes requires extraction from a matrix of biochemically similar peptides and proteins. Low peptide recovery, incurred through poor solubility, inefficient extraction and adsorption to vials and plates, can lead to sub-optimal quantitative performance.

 

PODCAST

podcastsKey challenges in sample preparation for peptide bioanalysis: a podcast with Mary Lame

In this interview, we talk to Mary Lame, Principal Applications Scientist who supports discovery bioanalysis for both large and small molecules, providing application development and support with Waters Corporation (Milford, MA, USA). Mary will discuss the key challenges scientists face developing robust peptide bioanalytical assays and introduces Waters approach for large molecule bioanalytical quantification method development including: pre-analytical sample preparation, as well as offering tips & tricks to help avoid the most common pitfalls working with peptides to help improve peptide assay performance and to streamline assay development. She also discusses how to enable highly sensitive and robust quantification of biomolecules from complex biomatrices.

 

INFOGRAPHIC

INZ CAR-TPeptide bioanalysis sample preparation

The biggest challenge in peptide bioanalysis is purification of the peptide of interest from a matrix of biochemically similar peptide and proteins. Poor sample recovery from matrix impacts the quantitative performance (linearity, sensitivity and repeatability) of LC–MS assays. Improve peptide recovery and assay robustness by following these tips & tricks for the 5 key challenges in peptide bioanalysis sample preparation.

 

 

RESOURCES

Bioanalysis Zone hexagonImproving recovery, sensitivity and repeatability in peptide quantification workflows

Waters: peptide and protein bioanalysis boot camp

What challenges are there for the biotransformation scientist and how does software address them?