Related Experiment Video
Updated: Feb 3, 2026

Author Spotlight: Advancing Antiviral Strategies Through Novel Immunocapture and Mass Spectrometry Techniques
Published on: January 12, 2024
A 2D LC-MS/MS Strategy for Reliable Detection of 10-ppm Level Residual Host Cell Proteins in Therapeutic Antibodies
Feng Yang1, Donald E Walker1, Jeannine Schoenfelder1
1Protein Analytical Chemistry , Genentech, A Member of the Roche Group , 1 DNA Way , South San Francisco , California 94080 , United States.
Abstract:
Methodologies employing LC-MS/MS have been increasingly used for characterization and identification of residual host cell proteins (HCPs) in biopharmaceutical products to ensure their consistent product quality and safety for patients. To improve the sensitivity and reliability for HCP detection, we developed a high pH-low pH two-dimensional reversed phase LC-MS/MS approach in conjunction with offline fraction concatenation. Proof-of -concept was established using a model in which seven proteins spanning a size range of 29-78 kDa are spiked into a purified antibody product to simulate the presence of low-level HCPs. By incorporating a tandem column configuration and a shallow gradient through the second-dimension, all seven proteins were consistently identified at 10 ppm with 100% success rate following LC-MS/MS analysis of six concatenated fractions across multiple analysts, column lots and injection loads. Using the more complex Universal Proteomic Standard 1 (UPS-1) as an HCP model, positive identification was consistently achieved for 19 of the 22 proteins in 8-12 ppm range (10 ppm ±20%). For the first time, we demonstrate an effective LC-MS/MS strategy that not only has high sensitivity but also high reliability for HCP detection. The method performance has high impact on pharmaceutical company practices in using advanced LC-MS/MS technology to ensure product quality and patient safety.
Related Concept Videos
Reliability and Validity
Residual Plots
When the residual values are plotted against the variable x, it is called a residual...
Residual Stresses
Residual Stresses in Circular Shafts
Residual Stresses in Bending
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...

