The Hidden Cost of Carryover in Protein A Chromatography
Tuesday, September 1, 2026
8am PDT | 11am EDT | 4pm BST | 5pm CEST
Gain practical insights to minimize hidden inefficiencies, extend column lifetime, and increase confidence in analytical data, helping deliver more robust workflows, higher throughput, and better-informed decisions in Protein A analytical workflows.
Carryover in Protein A chromatography can silently erode data quality, shorten column lifetime, and drive-up costs. Learn how optimized clean-in-place (CIP) strategies reduce carryover while preserving chromatographic performance, enabling longer column use, improved antibody titer accuracy, and more reliable results.
Representative titer and dynamic binding capacity (DBC) data from four diverse feedstocks of multi- and bispecific mAbs, both marketed and under FDA review, show how these improvements translate under real-world conditions. Performance is further evaluated through carryover and column-to-column reproducibility across repeated injections without intermediate CIP.
Topics include:
- The benefits of using a regular CIP strategy to extend column lifetime while maintaining chromatographic performance
- How to minimize carryover improves titer accuracy, sensitivity, and Protein A column robustness
- How to improve Protein A column performance can increase sensitivity and streamline workflows across diverse cell cultures
Speakers
Emery Domain (Evaluations Scientist, Waters Corporation)
Emery Domain is an Evaluations Scientist at Waters Corporation, where he has held multiple roles over nine years. He currently specializes in chromatography column development, supported by a background in antibody-based assay development, production and quality control. Emery works to empower Biopharmaceutical development labs with advanced chromatographic solutions, including the BioResolve Protein A Affinity Column.
William Smith (Menegatti Laboratory, NC State University)
William Smith is a fifth-year PhD candidate in the Department of Biomolecular and Chemical Engineering at North Carolina State University, where he is advised by Dr. Stefano Menegatti. His research focuses on developing affinity peptide ligands targeting AcMNPV baculovirus and Herpes simplex virus type 1. In addition to these core projects, he contributes to monoclonal antibody purification, Adenovirus purification, AAV purification, mRNA purification, and the development of 3D-printed chromatography support structures.
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