ADC characterization in one native LC-MS workflow

Fr, 4.9.2026 17:00 CEST
Struggling with complex multi-step ADC workflows? Discover native RP-LC-MS with Biozen® columns to determine DAR, proteoforms, and positional isomers without buffer exchange.
Phenomenex: TechTalk - ADC characterization in one native LC-MS workflow
Phenomenex: TechTalk - ADC characterization in one native LC-MS workflow

Achieving comprehensive antibody-drug conjugate (ADC) characterization no longer requires complex multi-step workflows. Advances in native LC-MS are creating new opportunities to simplify ADC analysis while maintaining the depth of information needed to support development decisions.

In this SelectScience® TechTalk, Roxana Eggleston-Rangel, Senior Applications Scientist at Phenomenex, will showcase how Biozen® Native RP-1 and RP-5 columns enable direct drug-to-antibody ratio (DAR) analysis through a streamlined, MS-compatible native reverse-phase liquid chromatography-mass spectrometry (RP-LC-MS) workflow.

Learn how this approach supports DAR determination, proteoform characterization, and positional isomer resolution without fraction collection or buffer exchange while maintaining native conditions.

Using case studies featuring the approved ADC therapies Enhertu®, Padcev®, Polivy®, and Adcetris®, Eggleston-Rangel will demonstrate how this workflow can be applied across a range of ADC modalities and payload chemistries. In just 20 minutes, discover how the same approach can support both high-resolution mass spectrometry and routine UV-based DAR monitoring, bringing greater efficiency and confidence to ADC characterization.

Certificate of attendance

If you attend the live TechTalk, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. If you view the on-demand TechTalk, you can request a certificate of attendance by emailing [email protected].

TechTalk details
  • Cost: Free to attend
  • Location: Online
  • Duration: 20 minutes

Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on-demand recording once it becomes available.

Who should attend?

This event is perfect for:

  • Pharmaceutical and biopharmaceutical characterization scientists
  • Analytical development managers and directors overseeing LC-MS workflows
  • Researchers developing methods for ADC characterization, drug-to-antibody ratio (DAR) analysis, and isomer identification
What will this webinar cover?
  • How native RP chromatography can be used for streamlined ADC DAR characterization and intact mass analysis.
  • Best practices for selecting Biozen® Native RP columns based on ADC properties and analytical goals.
  • How a single workflow can provide DAR determination, proteoform characterization, and positional isomer information.
  • Real-world examples demonstrating how native RP-LC-MS can improve efficiency while reducing sample preparation complexity.
Join the TechTalk to get answers to these questions:
  • How can native RP-LC-MS simplify comprehensive ADC characterization workflows?
  • How do Biozen® Native RP-1 and RP-5 columns enable direct intact ADC analysis?
  • How is drug-to-antibody ratio (DAR) accurately determined under native conditions?
  • How can native RP-LC-MS resolve proteoforms and positional isomers in ADCs?
  • What insights were gained from case studies on Enhertu®, Padcev®, Polivy®, and Adcetris®?

Speaker: Roxana Eggleston-Rangel (Senior Application Scientist, Phenomenex)

Roxana Eggleston-Rangel is a Senior Applications Scientist specializing in biopharmaceutical characterization workflows, with expertise in LC-MS, native chromatography, antibody-drug conjugates (ADCs), monoclonal antibodies, and protein biotherapeutics. She develops and evaluates analytical methods for critical quality attributes, including drug-to-antibody ratio (DAR), oxidation, isomerization, glycation, and fragmentation. Her work focuses on advancing innovative chromatographic and mass spectrometry solutions, generating application data, technical publications, and scientific content that help researchers improve characterization of complex biologics and next-generation therapeutics.

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