Enhancing LC-MS analysis of oligos, peptides, and glycans using hybrid surface technology
07 May 2021

Development of biopharmaceutical drug products such as oligonucleotides, peptides, and glycans requires robust and sensitive analytical methods to ensure safe and effective products. Conventional LC systems that employ metal columns and flow paths can interact with analytes through metal-ion mediated adsorption and cause poor peak shape, tailing, and diminished recovery. Common strategies to suppress these interactions include hardware passivation or column conditioning, which may create different challenges and drawbacks for biopharmaceutical analysis.

In this webinar, a team of scientists from Waters Corporation (Jennifer Nguyen, Jacob Kellett, and Dr. Xiaoxiao Liu) will describe the benefits of the ACQUITY PREMIER Solution with MaxPeak High Performance Surface Technology in mitigating problematic metal interactions. Learn how improved recovery, peak shape, and reproducibility of sensitive analytes can be achieved without the need for system or column conditioning, while combination with a binary pump configuration enables highly reproducible gradients at low flow rates to be achieved with exceptional precision.

Key learning objectives:

  • Learn how the performance, sensitivity, and reproducibility of oligo, peptide, and glycan analyses can be negatively affected by metal interactions
  • Explore the advantage of a new hybrid surface technology for LC hardware that can mitigate these metal interactions and improve reproducibility, recovery, and peak shape
  • Understand the necessity of a pump configuration that can deliver accurate and reproducible gradients at low flow rates

Who should attend?

  • Lab directors, managers, and analytical scientists who are involved in biopharmaceutical or antisense therapy development, manufacturing, and/or QC
  • Lab managers or scientists that require better reproducibility for gradient separations at low flow
  • Bioanalytical scientists performing quantitative studies and seeking to improve detection limits or sensitivity

Waters