top of page

Antibody aggregation analysis: Mass photometry vs. SEC-UV

 

Mass photometry and size-exclusion chromatography (SEC) are both analytical methods that can provide valuable insights into the biomolecular composition of samples. SEC is considered a gold standard for protein analysis and is often used to quantify aggregation and oligomerization. It therefore represents an ideal comparator for mass photometry – a much newer technique that can be used in a similar way.  

This article summarizes the key findings reported in a technical note, Assessing protein samples by mass photometry and size exclusion chromatography, which compares the two techniques’ performance in analyses of protein abundance and antibody aggregation.    

The underlying principles of mass photometry vs. SEC

 

Mass photometry is a label-free analytical method that determines the mass of single molecules, in solution, by measuring light scattering as each molecule lands on a glass slide. This technique, with its one-minute analysis run-time, enables the precise and rapid assessment of the relative abundance of each protein species in a sample. It can provide information on oligomerization, interactions, complex formation and sample homogeneity.  

SEC is a method in that separates molecules by their size (hydrodynamic radius), based on the time they take to pass through a column containing beads with pores distributed across a specific range of sizes. Coupled with UV absorbance detection (SEC-UV) and provided that molar extinction coefficients are known, it provides information on analyte concentration. Coupled to multi-angle light scattering (SEC-MALS), it can measure both the size and molecular weight of the analytes in a 30-minute analysis run-time. From this analysis, users can assess the purity of their protein samples.  

Comparison 1: A simple assessment of protein abundance within a sample mixture

 

In the first case study reported in the technical note, from the University of Oxford’s Kavli Institute for Nanoscience Discovery, a four-protein sample mixture was characterized with both mass photometry and SEC-UV, with each method quantifying the abundance of each protein within the mixture. The results showed that SEC-UV data, once it has been normalized (converted from absorbance to molar concentration via molar extinction coefficients), aligns closely with the mass photometry measurements (Fig. 1).  

Comparative protein abundance (%) from mass photometry vs. SEC-UV. Normalized SEC-UV data align closely with mass photometry. (125 characters)

Figure 1: Mass photometry and SEC-UV analyses agree on the proportions of each protein in a mixture. For more information, download the technical note.  

Comparison 2: Monitoring aggregation of monoclonal antibody biosimilars 

 

In the second case study reported in the technical note, by RIC biologics (Kortrijk, Belgium), antibody aggregation was monitored using both mass photometry and SEC-UV. The methods were used to assess aggregation by measuring monomer-to-dimer ratios in samples of the monoclonal antibody trastuzumab and four biosimilars.

Results from mass photometry (Fig. 2) were again consistent with those obtained using SEC-UV (normalized). The comparison confirmed the validity and utility of mass photometry as an orthogonal analytical technique for antibody sample characterization. 

Mass photometry histograms quantifying monomers and dimers in samples of monoclonal antibody trastuzumab and biosimilars

Figure:2 Mass photometry was used to characterize aggregation in monoclonal antibody samples. Monomer populations are highlighted in blue, dimer populations in orange. For more information, download the technical note Assessing protein samples by mass photometry and size exclusion chromatography.

Obtain the full details on how mass photometry compares to SEC for characterizing antibody aggregation

Tech Note - Mass photometry vs. SEC-UV.png

Learn how mass photometry and SEC-UV compare and how they can both offer valuable insights into protein sample analysis through two case studies: By RIC biologics (Kortrijk, Belgium) and the University of Oxford’s Kavli Institute for Nanoscience Discovery.

Additional resources​ on using mass photometry to characterize protein samples 

APPLICATION NOTE  

Characterization of forced antibody degradation with automated mass photometry 

 

Learn how mass photometry can help assess changes in antibody behavior under various stress conditions. Discover how it can be used to analyze the fragmentation and aggregation of therapeutic antibodies in response to stressors like light, pH variations, and peroxide exposure. Find out the advantages automated mass photometry can offer, in terms of processing multiple samples with high reproducibility, across a wide mass range. 

App Note - Characterization of forced antibody degradation with automated mass photometry.
App note - Characterization of protein interaction equilibria.png

APPLICATION NOTE 

Characterization of protein interaction equilibria 

 

Discover how mass photometry was used to study the oligomerization process of a recombinant protein that forms tetramers. Using this multimeric protein as an example, you can see how scientists measured the relative abundances of each oligomeric species across a range of physiologically relevant protein concentrations and assessed the effect of environmental factors (such as temperature) on reaction equilibria.  

To discuss how mass photometry can complement your analytical toolbox for antibody characterization  

More Application Notes

Browse through our catalogue of application notes highlighting some recent case studies featuring mass photometry.

Investigating lentivirus titer with macro mass photometry

 

Mass photometry supports membrane protein purification protocols 
 

Characterizing protein oligomerization with automated mass photometry

Quantifying heterogeneous AAV capsid loading using mass photometry
 

Download the application note

Download the app note
bottom of page