Antibody characterization is essential in biopharmaceutical development for ensuring the safety, efficacy, and consistency of the therapeutic product. One important critical quality attribute investigated is aggregation, which can increase immunogenicity risk, reduce efficacy, and impair stability.
Traditional size-exclusion chromatography often requires time-consuming column optimization and may be limited by non-specific interactions or insufficient resolution for larger modalities.
This application note highlights a single-molecule characterization tool that offers superior resolution and an informative mass readout to accurately quantify low-abundance populations across various antibody applications.
Download this application note to discover:
- How single-molecule analysis provides a direct mass readout with superior resolution compared to SEC
- Ways to eliminate column optimization and non-specific interactions for results in one minute
- How to reduce sample use by 100x
Antibody characterization is essential in biopharmaceutical
development for ensuring the safety, efficacy and consistency of
the therapeutic product. One important critical quality attribute
(CQA) investigated is aggregation. Aggregation can affect the
final product in three ways:
1. Increased immunogenicity risk, as aggregated antibodies are
more likely to be seen as ‘foreign’ by the immune system.
2. Reduced efficacy, as aggregates may be inactive or interfere
with the function of the monomeric antibody.
3. Impaired stability, as aggregation can indicate or lead
to protein instability over time, affecting shelf life and
formulation robustness.
A powerful and widely accepted method for detecting and
monitoring aggregation during development and release testing
is size exclusion chromatography on a high-performance liquid
chromatography setup (SEC-HPLC) coupled to UV detection
(simply denoted as SEC in this article). SEC can resolve monomers,
dimers and higher-order aggregates of antibodies in a single
run. However, it frequently requires time-consuming column
optimization, as some antibodies may stick to a column matrix
or interact in unexpected ways, increasing the retention time
and complicating the interpretation of traces. In addition, SEC
is biased towards higher-mass species, as those with a greater
mass generate a larger signal.
Mass photometry is an emerging tool for characterizing multiple
antibody CQAs, including aggregation. As a single-molecule
technique, mass photometry can detect and quantify lowabundance
populations. Its high resolution (25 kDa for a 66 kDa
protein) enables population differentiation. It can detect antibody
fragments, monomers, dimers and higher-order aggregates –
and its mass readout makes it straightforward to identify the
different populations detected. Mass photometry can also analyze
antibody binding to targets. Measurements take just minutes
and require only nanograms of sample.
SEC and mass photometry (compared in detail in Box 1) both
offer powerful ways to assess antibody aggregation. But, as
APPLICATION NOTE
Comparing mass photometry and SEC for antibody aggregation assessment
Mass photometry is an emerging tool for assessing multiple antibody attributes, including aggregation. Here, a
comparison to size-exclusion chromatography (SEC) shows the two techniques agree, but mass photometry has
superior resolution, particularly for larger modalities. Mass photometry requires no optimization beyond sample
dilution and readily characterized samples that could not initially be measured with SEC. In addition, mass photometry
requires >100x less sample and is 20x faster than SEC, and provides an informative mass readout.
they work very differently, it is crucial to understand the relative
strengths and limitations of each – and when they are most
suitable.
Here, we provide a detailed comparison of the techniques in
the context of antibody aggregation analysis.
We characterize a series of antibodies with SEC and mass
photometry. Samples were only selected for inclusion in this
study if SDS-PAGE analysis showed the intact antibody under
non-reducing conditions, with disassembly into heavy and light
chains under reducing conditions. SEC and mass photometry
comparison experiments were carried out side-by-side using
the same samples and illustrate different cases for how SEC and
mass photometry compare.
We show that:
1. Mass photometry and SEC results generally agree, although
they are not directly comparable due to differences in what
they measure. Mass photometry provides a mass readout.
2. Mass photometry, unlike SEC, does not require prior
optimization and cannot be affected by column interactions.
3. For larger modalities, mass photometry has superior
resolution to SEC and provides much more detailed insights
about sample composition.
4. Standard mass photometry is run at a lower concentration
than SEC, which could affect concentration-dependent
multimers. This can be overcome by combining mass
photometry with the rapid-dilution MassFluidix HC
microfluidics system.
This application note was created in collaboration with
Absolute Antibody
Case 1: SEC and mass photometry agree
We first measured a monoclonal IgG antibody, IgG1 Human 1.
The results from SEC generally aligned with mass photometry, but
the superior resolution of mass photometry enabled detection
of a fragment population. The SEC results showed a main peak
at around 7.5 min, as expected, as well as higher-order structures
that eluted prior to the main peak (Fig. 1, Table 1). Smaller
populations also eluted around 12–18 minutes, but the peaks
were too small to be fitted. This result agreed with SDS-PAGE,
which showed one major band and a very faint second band at
higher molecular weight under non-reducing conditions (Fig. 1).
Mass photometry confirmed that the main species was a
~150 kDa molecule, as expected for a monoclonal antibody.
Mass photometry further identified populations of probable
dimers, with mass ~300 kDa, and a very small population of
trimers (Table 1). Though the dimers and trimers had very low
abundance relative to the monomer, they were detectable. The
dimer and trimer peaks were more visible with SEC, in line with
the mass weighting that occurs with this technique (see Box
1). Overall, quantification showed the two techniques were in
general agreement about the relative sizes of the monomer,
dimer and trimer populations (Table 1).
However, mass photometry also clearly resolved an additional
population around 40 kDa that SEC did not detect. This
population is likely fragmentation, based on the mass. It is
a striking difference between the two techniques that this
population, which may have considerable importance for
understanding the sample’s stability, was only detected by mass
photometry and not SEC.
Fig. 1 SEC and mass photometry results agree for analysis of two monoclonal IgG antibodies. For antibody IgG1 Human 1, results are shown
for SDS-PAGE under non-reducing (NR) and reducing (R) conditions (left), SEC analysis (middle) and mass photometry (right). For SEC and
mass photometry, the colored peak regions correspond to antibody fragments (purple), monomers (blue), dimers (yellow) and trimers (green).
Oligomeric state
SEC
measurement (%)
Mass photometry
measurement (%)
IgG Human 1
Fragment 0.0 5.4
Monomer 86.4 89.8
Dimer 10.8 4.1
Trimer 2.8 0.7
Table 1. Proportions of species, as determined by SEC and mass
photometry for the monoclonal IgG antibody IgG1 Human 1 in Fig. 1.
Case 2: SEC ambiguous, mass photometry clear and
consistent
Next, a different IgG antibody, IgG Rabbit 1, was analyzed by
SEC and mass photometry. In this case, in the SEC analysis, the
retention time for this antibody was ~9 min (Fig. 2), whereas
the expected retention time was ~7.5 min under the column
conditions used. The slower elution time would suggest that
the proteins in the sample were in fact smaller than full IgGs
(e.g. fragments). The mass photometry result, on the other
hand, produced a main peak around 150 kDa, consistent with
the sample containing mainly full, monomeric IgG antibodies,
as expected. Mass photometry further identified a population
of dimers, with mass ~300 kDa and even a very small trimer
population (Table 2).
The unexpected SEC result could have been caused by temporary
retention of the molecules in the column. WIthout additional
information from an orthogonal technique, it would be unclear
from the SEC data whether the protein was the expected one
(but slightly delayed due to column interactions), or in fact had
fragmented into a lower-mass species. This example illustrates
the advantage that mass photometry offers by eliminating the
need for a column. It also demonstrates the value of analysis
by orthogonal techniques.
Fig. 2 SEC suggested possible fragmentation or column interactions, while mass photometry confirmed the presence of a monomeric
full IgG population. For an IgG rabbit antibody, results are shown for SDS-PAGE under non-reducing (NR) and reducing (R) conditions (left),
SEC analysis (middle) and mass photometry (right). For SEC and mass photometry, the colored peak regions correspond to monomers (blue)
and dimers (light orange).
Table 2. Proportions of species, as determined by SEC and mass
photometry for the monoclonal IgG antibody IgG Rabbit 1 in Fig. 2.
Oligomeric state
SEC
measurement (%)
Mass photometry
measurement (%)
IgG Rabbit 1
Monomer 99.1 97.4
Dimer 0.9 2.2
Trimer 0.0 0.2
Case 3: SEC fails, while mass photometry works
We next analyzed another human antibody, IgG1 Human 2 (Fig.
3A). In this case, the SDS-PAGE results clearly indicated the
presence of an antibody, but the SEC trace provided negligible
information – despite being run under identical conditions to the
antibodies shown in Cases 1 and 2. This result is likely due to
the antibody having been retained within the column matrix – a
common issue in SEC that can take considerable time to resolve.
Conversely, mass photometry provided a clear readout of the
sample’s aggregation state, and with no optimization required.
A mouse fab fragment (Fab Mouse 2) also produced inconsluive
results in the SEC analysis, but again with a clear mass photometry
readout (Fig. 3B). The mass photometry data showed a main
peak at ~80 kDa as well as a multitude of higher-order species
present with low abundance, in agreement with SDS-PAGE,
which showed a smear in non-reducing conditions and many
different sized bands under reducing conditions. This could
explain the poor SEC results, as the higher-order species could
have clogged the column, resulting in the antibody’s retention.
Fig. 3 Mass photometry, but not SEC, returned clear aggregation readouts for an IgG antibody and a mouse fragment. For antibodies (A)
IgG1 Human 2 and (B) Fab Mouse 2, results are shown for SDS-PAGE run under non-reducing (NR) and reducing (R) conditions (left), SEC
analysis (middle) and mass photometry (right). For mass photometry, the colored peak regions correspond to monomers (blue) and higher-order
species (light orange).
Case 4: Only mass photometry could resolve higherorder
IgM oligomers
Finally, we analyzed samples of larger antibodies, IgMs, which
feature a more complex structure than IgG antibodies, forming
pentamers or hexamers. Hexameric IgM samples, IgM Human
1 and IgM Human 2, were obtained by expressing IgM without
the J-chain. In both cases, SDS-PAGE under reducing conditions
showed the expected heavy and light chains (Fig. 4).
In both cases, in the SEC trace, three peaks were distinguishable
in the expected range (Fig. 4AB, mid left). More peaks were visible
from the mass photometry analysis, and the mass information
from mass photometry makes it possible to identify the species. In
addition to the fully assembled hexameric IgM, mass photometry
revealed significant populations of pentamers, tetramers, dimers
and monomers (Fig. 4AB, mid right).
The mass photometry results suggest that the major eluting
peaks from the SEC traces are associated with at least three
species: Tetramers, pentamers and hexamers. The observation
that SEC does not always resolve all oligomeric states in IgM
aggregation has been made before, such as in comparison to
data from analytical ultracentrifugation.1 Overall, it was only
possible with mass photometry to identify and quantify the
range of oligomeric species in each sample (Fig. 4).
Mass photometry requires that samples be at low (nanomolar)
concentrations for measurements. The low concentrations can
affect the formation of multimers, such as the IgM assemblies
here, which form reversibly. Because SEC and mass photometry
require different concentrations for measurement, they may
report different oligomeric distributions of the IgM species.
We can overcome mass photometry’s low-concentration
requirement by using a rapid-dilution microfluidic system
(Refeyn’s MassFluidix HC) coupled to the mass photometer. The
MassFluidix approach allows samples to be diluted up to 10,000x
immediately prior to measurement, before significant dissociation
can occur, so the observed distribution of species reflects what
was present in the sample at the higher concentration.
To assess the effect of concentration on the oligomeric
distribution, we tested the two IgM samples using the
MassFluidix mass photometry approach (Fig. 4AB, far right). The
MassFluidix measurements verified that the additional species
observed (monomers-pentamers) were also present at higher
concentrations, so they were not due to the low concentration
used for standard mass photometry. However, the higher-order
oligomers were present in higher proportions than in the
standard mass photometry measurement, indicating that some
IgM hexamer disassembly occurs when the sample is diluted.
Fig. 4 IgM pentamers and hexamers were only resolved by mass photometry. For IgM antibodies (A) IgM Human 1 and (B) IgM Human 2,
results are shown for SDS-PAGE run under reducing (R) conditions (far left), SEC analysis (mid left), standard mass photometry (mid right) and
mass photometry with MassFluidix HC (far right). The colored peak regions correspond to monomers (blue), dimers (light orange) and higherorder
species (green). In (B), an additional population eluted around 14 min, likely due to buffer contaminants. It was not detected by mass
photometry, suggesting the species had mass below the 30 kDa minimum for mass photometry analysis.
Discussion
Here, we have shown that mass photometry is an effective
tool for antibody aggregation analysis that outperforms SEC
due to having superior resolution, providing an informative
mass readout, and eliminating both the need for optimization
and the risk of column interactions. Mass photometry also has
the advantages of being fast (with a measurement taking only
1 min, vs. 20–25 min for SEC) and using >100x less sample. A
dedicated Antibody Stability software module2 further facilitates
mass photometry analysis of antibody aggregation. Differences
between the methods are detailed in Box 1 and summarized
in Table 3.
Another important difference between SEC and mass
photometry is the concentration at which samples are measured.
Mass photometry requires a low (nanomolar) concentration and
small volume (10–20 μL). While mass photometry’s low sample
consumption is beneficial, the low concentration can cause the
dissociation of higher-order species. Here, we have shown that
this issue can be overcome by using the MassFluidix HC rapid
dilution approach with mass photometry. This rapid dilution
approach could also be used to assess whether measured
aggregates are dissociable or not.
In practice, both SEC and mass photometry are valuable tools for
antibody aggregation analysis and can be used in complementary
ways (Table 3). SEC is ideal for high-throughput screening and
quality control (QC) in GMP-regulated environments (as there
is not yet a 21CFR11-compliant mass photometry solution for
antibody aggregation analysis). Mass photometry, meanwhile,
is ideal for rapid screening and situations where sample is
limited, and its superior resolution is valuable for analyzing
larger modalities. The availability of the MassFluidix HC rapid
dilution system means that mass photometry is not limited to
low-concentration samples.
Materials and methods
Samples
All samples were provided by Absolute Antibody. Any requests
for samples can be directed to support@absoluteantibody.com.
Mass photometry
All mass photometry measurements were carried out on a Refeyn
TwoMP mass photometer. All measurements were acquired using
AcquireMP 2024.1.1 and analyzed with DiscoverMP 2024.1.0.
All measurements were carried out using the large field of view
setting and each movie was recorded for 60 seconds. Calibrations,
to enable conversion from the measured contrast to mass, were
carried out using Refeyn’s MassFerenceTM P1 calibrant.
Prior to measurement, samples were diluted from 1 mg/mL
(approximately 6.6 μM for a 150 kDa protein) to 10 nM using
PBS.
Mass photometry with MassFluidix HC
A Refeyn MassFluidix HC system was used with a Refeyn TwoMP
mass photometer. IgM samples were at 1 mg/mL (~0.92 μM, for
hexameric IgM). Prior to loading, samples were diluted 2x to 0.55
μM, followed by rapid 1,000x dilution in the microfluidic chip.
SEC-HPLC with UV detection
Size-exclusion chromatography HPLC with UV detection
was carried out using an Agilent 1100 series HPLC with a
Superdex 200 Increase 5/150 GL column equilibrated in PBS,
pH 7.2, at a flow rate of 0.2 mL/min. Proteins were analyzed
following concentration to 1 mg/mL by injecting 5 μL of sample.
Absorbance was measured at 280 nm and proteins assessed
for percentage purity (peak area) and size (peak retention time).
SDS-PAGE
Qualitative protein analysis by SDS-PAGE was performed on
samples concentrated to 1 mg/mL. Samples were loaded to
pre-cast gels (10% Bis-Tris) from Invitrogen™. Gels were run
in MES at 180 V for 45 minutes before staining with Invitrogen
SimplyBlue™ SafeStain and destained for 16 hours in deionized
water. Gel images were captured using a Bio-Rad GS-900
densitometer.
References
1 Chouquet et al., Front. Bioeng. Biotechnol. 2022
https://doi.org/10.3389/fbioe.2022.816275
2 Refeyn product datasheet: Antibody Stability Module
https://info.refeyn.com/antibody-stability-module
3 Refeyn tech note: Assessing proteins samples by MP and SEC
https://refeyn.com/mass-photometry-vs-sec-in-protein-analysis
Box 1: How do SEC and mass photometry compare?
SEC and mass photometry operate in very different ways
and these differences must be taken into consideration when
comparing data from the two methods. We explain differences
in key areas below and present an overall comparison (Table
3), highlighting differences related to sample requirements,
resolution and other aspects.
of species represented in the histogram counts are the same as
their concentration in solution, so relative concentrations can
be assessed directly from peak sizes.
In SEC, by contrast, the amount of UV light absorbed by a protein
depends on its extinction coefficient – which is a function of
the number of aromatic (particularly tryptophan) residues in
its sequence. A dimeric molecule, for example, would contain
twice as many aromatic residues and so absorb roughly double
the UV light, giving twice the signal of a monomer. Therefore, in
SEC, the signal from a given species depends on its mass as well
as its amino acid composition. The need to factor in extinction
coefficients when interpreting SEC data is particularly important
in the analysis of samples such as antibody-drug conjugates
(ADCs), where the variability in the extinction coefficients of
different species may be significant.
SEC and MP data are not directly comparable
Due to the differences between the techniques, mass photometry
and SEC data are not directly comparable. To compare them
quantitatively, it is necessary to use the extinction coefficients
of the species present in a SEC profile to convert the data
so that the signal is purely based on concentration, as it is in
mass photometry. For a demonstration of the conversion,
see Refeyn’s recent technical note, Assessing protein samples
by mass photometry and SEC.3 However, when SEC peaks
contain multiple different species (which may occur due to SEC’s
limited resolution for larger species), normalization by extinction
coefficients may not be possible.
Additional considerations
Unlike SEC, which separates based on size and may dilute or
disturb equilibrium, mass photometry measures the native
distribution of species in near-physiological conditions. Other
advantages of mass photometry are its versatility with respect to
sample type, conditions and buffer, low sample consumption and
rapid measurement time. For antibody aggregation studies using
mass photometry, samples only need to be diluted to appropriate
concentrations (nanomolar) and then can be measured in just
one minute, giving a clear read-out on aggregation state. This
makes mass photometry particularly useful for rapid aggregation
profiling, and for stability studies in early and late-stage biopharma
development.
The measurement process
SEC separates molecules based on their size by passing them
through a column packed with porous beads. Large molecules are
excluded from entering the pores and elute first, while smaller
molecules enter the pores and take longer to pass through,
eluting later. UV absorbance (at 280 nm) is then measured by
a detector as the sample elutes.
Mass photometry, meanwhile, measures the mass of single
proteins in solution by measuring the interference between
light scattered by individual proteins and light reflected at the
measurement surface. The resulting contrast scales linear with
the proteins’ mass.
Data presentation
SEC data are typically represented in a graph showing UV
absorbance vs. elution time (or elution volume). As larger
molecules elute first, the first peak in the graph represents the
largest molecule and the last peak the smallest. This is opposite
to mass photometry, where data are represented in a mass
histogram (counts vs. mass) with the first peak corresponding
to the lowest-mass species.
An advantage of mass photometry is that, provided a masscontrast
calibration step has been done, the molecular mass of
the species in each peak is immediately apparent. This makes
it possible to identify which species is most likely present in
each peak (e.g. the dimer peak would be the one with a mean
around the expected mass value of a dimer).
Data interpretation
Another important difference relates to what peak area and
height represent. In mass photometry, the area under the peak
corresponds to the relative number of proteins in that population
(with that mass value). For example, a population with a peak
around twice as large as another would have about twice the
concentration. Generally, in mass photometry, the proportions
Table 3. A comparison of SEC vs. mass photometry.
Mass photometry Size-exclusion chromatography
Separation mode None Size-based separation by a column
Readout Molecule counts over molecular mass UV protein absorbance over retention time
Sample requirement
~38 ng (10 μL of 10–55 nM)
10 μg for measurements with MassFluidix HC
~5 μg (5 μL of 1 mg/mL)
Labeling Label-free Label-free
Resolution
Detects fragments, monomers and all higherorder
multimers with baseline resolution
Depends on column, with molecular weight
range and operational limitations
Run time 1 min 20–25 min
Operational costs <$5 per sample <$5 per sample
Ease of data interpretation
Straightforward, direct mass readout with
particle counts
Cumbersome, requiring conversion based on
extinction coefficients
Limitations
Non-preparative,
Mass detection range ~30 kDa to ~5 MDa,
Sample concentration limited to <50 μM
Non-specific column interactions,
Column exclusion limits for larger aggregates
(typically ~0.6 MDa),
Sensitive to extinction coefficients
Ideal use cases
Rapid, native-state profiling,
Measurement in physiological conditions (i.e.
native buffer, nM concentration)
Fractionation with quantitation,
High-throughput analysis,
GMP-regulated environments
V1-Jul 25
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20
Testimonials
“Mass photometry provides a fast
screening tool to investigate
mRNA integrity and size.”
De Vos et al. (2024), J Chromatogr A
“The data confirm the great potential
of [mass photometry] technology...
as a fast and simple orthogonal
method that provides insights into the
homogeneity and stability of mRNA
samples.”
Camperi et al. (2024), Anal Chem
Unit 9, Trade City, Sandy Lane West, Oxford OX4 6FF, United Kingdom
©2024 Refeyn Ltd
information on products, demos and ordering, write to info@refeyn.com
Samux and Refeyn are registered trademarks of Refeyn Ltd.
refeyn.com
@refeynit
Refeyn
Refeyn
About Refeyn
Refeyn pioneers analytical instruments that put molecular mass
measurement capabilities within easy reach for scientists. Refeyn’s
unique products measure the mass of individual proteins, nucleic
acids, complexes and viruses directly in solution – providing vital
insights for scientific discovery, R&D and therapeutics production.
Our instruments feature mass photometry technology, which uses
light to quantify the mass of single particles in solution without
labels, and macro mass photometry technology, which uses light to
characterize large viral vectors. Providing intuitive data in minutes,
mass photometry technologies help scientists solve their research
questions, optimize R&D processes and focus on innovation.
20
Testimonials
“Mass photometry provides a fast
screening tool to investigate
mRNA integrity and size.”
De Vos et al. (2024), J Chromatogr A
“The data confirm the great potential
of [mass photometry] technology...
as a fast and simple orthogonal
method that provides insights into the
homogeneity and stability of mRNA
samples.”
Camperi et al. (2024), Anal Chem
Unit 9, Trade City, Sandy Lane West, Oxford OX4 6FF, United Kingdom
©2024 Refeyn Ltd
information on products, demos and ordering, write to info@refeyn.com
Samux and Refeyn are registered trademarks of Refeyn Ltd.
refeyn.com
@refeynit
Refeyn
Refeyn
About Refeyn
Refeyn pioneers analytical instruments that put molecular mass
measurement capabilities within easy reach for scientists. Refeyn’s
unique products measure the mass of individual proteins, nucleic
acids, complexes and viruses directly in solution – providing vital
insights for scientific discovery, R&D and therapeutics production.
Our instruments feature mass photometry technology, which uses
light to quantify the mass of single particles in solution without
labels, and macro mass photometry technology, which uses light to
characterize large viral vectors. Providing intuitive data in minutes,
mass photometry technologies help scientists solve their research
questions, optimize R&D processes and focus on innovation.