
Monoclonal Antibody Development
Measure protein size and detect aggregation to optimise stability and support biologic drug development.
Struggling with antibody aggregation? Discover how Zetasizer helps detect instability earlier, optimize formulations, and improve monoclonal antibody development.

Small changes in protein behavior can compromise stability, efficacy and regulatory approval. However, many analytical techniques only detect problems after instability has already occurred.
Malvern Panalytical's Zetasizer helps antibody developers detect instability earlier and design more robust formulations.
Using advanced dynamic light scattering and zeta potential analysis, Zetasizer provides highly sensitive insight into protein size, aggregation and molecular interactions.
With Zetasizer you can:
✔ Detect protein aggregation earlier
✔ Optimize formulation stability
✔ Understand protein interactions that drive instability
✔ Generate highly reproducible analytical data
Works with OmniTrust: Malvern Panalytical's compliance solution for the regulated environment
Even well-characterized monoclonal antibodies can fail in later stages of development due to:
These risks are a major challenge in monoclonal antibody development - especially because they often begin at the molecular level, long before they can be detected using conventional analytical techniques.
Subtle changes in protein behavior, such as shifts in charge, structure, or intermolecular interactions, can significantly impact stability and performance. These early-stage instabilities are frequently missed during initial screening and only become visible under stress conditions like scale-up, storage, or transport.
Zetasizer is designed to uncover these hidden risks earlier.
Using highly sensitive dynamic light scattering (DLS), Zetasizer detects even the smallest changes in particle size, allowing scientists to identify early-stage protein aggregation before it becomes a critical issue. This enables faster decision-making and reduces the likelihood of late-stage failure.
Protein aggregation and self-association are among the leading causes of biologics instability. Left undetected, they can reduce efficacy, increase immunogenicity risk, and compromise product quality.
Zetasizer provides deep insight into these behaviors by measuring both particle size and molecular interactions in solution. This allows scientists to detect self-association, oligomer formation, and aggregation at the earliest stages, long before traditional methods can identify a problem.
Antibody formulations are highly sensitive to environmental conditions such as pH, buffer composition, and ionic strength. Small changes can have a significant impact on stability, solubility, and shelf life.
Zetasizer enables rapid and reliable formulation optimization.
By combining particle size analysis with robust zeta potential measurements, scientists can assess surface charge and predict how formulation conditions will influence protein stability. This allows teams to identify optimal buffer conditions, minimize aggregation, and design more robust formulations from the outset.
As biologics move toward high-concentration, patient-friendly delivery formats, viscosity and intermolecular interactions become increasingly important.
Zetasizer helps scientists understand protein behavior at high concentrations, providing critical insight into the molecular interactions that drive viscosity challenges. This supports the development of formulations that are easier to manufacture, deliver, and administer.
Automated workflows with the Sample Assistant make it easier for scientists to get the most out of Zetasizer in monoclonal antibody development. By taking care of sample loading, measurement, and analysis, the Sample Assistant reduces hands-on time and removes much of the variability that can come with manual processes. This is especially valuable when you are trying to detect subtle changes in protein behavior, such as early aggregation or self-association.
Built for high-throughput work, the Sample Assistant allows you to screen multiple antibody candidates and formulation conditions in a faster, more streamlined way. You can generate consistent, high-quality data without sacrificing the sensitivity needed for techniques like dynamic light scattering and zeta potential analysis.
When it comes to uncovering hidden stability risks, consistency is everything. Automated workflows help ensure every sample is measured in the same way, giving you greater confidence in your results across larger datasets. The result is a smoother workflow, more reliable insights, and the ability to move your antibody development forward with greater speed and clarity.
Zetasizer brings together the sensitivity, reliability, and ease of use needed to tackle the most complex challenges in monoclonal antibody development. By giving scientists deeper insight into protein behavior from the earliest stages, it helps reduce uncertainty, improve formulation strategies, and avoid costly late-stage setbacks.
The result is a more streamlined development process, stronger data-driven decisions, and greater confidence in delivering stable, effective antibody therapeutics, enabling you to:
✔ Detect early-stage protein aggregation with high-sensitivity dynamic light scattering (DLS)
✔ Measure zeta potential to understand surface charge and predict formulation stability
✔ Identify protein self-association and molecular interactions in solution
✔ Optimize formulation conditions including pH, buffers, and ionic strength
✔ Analyze protein behavior at high concentrations to address viscosity challenges
✔ Generate highly reproducible, reliable data to support confident decision-making
✔ Enable high-throughput, automated workflows with the Sample Assistant
✔ Reduce late-stage development risks and costly reformulation
✔ Accelerate monoclonal antibody development timelines
✔ Support robust, stable therapeutic formulation design

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