Ensure Sample Quality With Rapid, High-Resolution Protein Characterization
App Note / Case Study
Published: May 6, 2026
Credit: iStock.
Understanding protein structure and function requires high-quality samples and assays performed under optimal buffer conditions. Hence, sample quality assessment is a vital step before moving on to challenging or costly analytical techniques such as cryo-EM, native MS, SPR, or BLI.
However, effective characterization of sample purity and homogeneity can be difficult to achieve with techniques such as SDS-PAGE, SEC, and DLS.
This application note uses well characterized proteins to demonstrate how a mass photometer can quickly and sensitively assess proteins using only nanograms of sample.
Download this application note to discover how mass photometry:
- Works across a broad mass range
- Measures biomolecules at the single-molecule level in native buffer conditions
- Acquires data in just one minute without compromising accuracy
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Abstract
Understanding protein structure and function requires
high-quality samples and assays performed under optimal
buffer conditions. This application note uses wellcharacterized
proteins to demonstrate how the mass
photometer MyMass™ quickly assesses sample purity
and homogeneity using nanograms of sample. MyMassMP
measurements work across a broad mass range (55 kDa–
3 MDa) and in a range of different buffers, and take just
one minute. Employing mass photometry technology,
MyMassMP measures the mass of single proteins
in solution. With its speed, ease of use, and broad
applicability, MyMassMP offers a powerful alternative to
SDS-PAGE, SEC, and DLS for routine sample evaluation.
Introduction
Developing an in-depth understanding of protein
structure and function requires high-quality samples and
multiple assays performed under varied conditions. It
is valuable to determine how buffer, temperature and
other conditions affect sample purity and stability. For
techniques such as cryo-electron microscopy (cryo-
EM), native mass spectrometry (MS), surface plasmon
resonance (SPR), and biolayer interferometry (BLI), there
is a need to ensure samples have optimal purity and
homogeneity.
While this type of information serves as a vital foundation
for almost any structure and function characterization
work, it can be difficult to obtain due to the limitations
of widely used techniques. SDS-PAGE, size-exclusion
chromatography (SEC) and dynamic light scattering (DLS),
for instance, are all bulk methods with limited resolution
relative to single-molecule techniques. DLS measurements
are dominated by larger particles, which can mask the
presence of smaller species in heterogeneous samples.
The conditions in SDS-PAGE can disrupt complex
formation and oligomerization, and in SEC, column-buffer
interactions and conformational heterogeneity can be
significant challenges. With all three methods, it can be
difficult to effectively characterize heterogeneous samples.
Mass photometry (MP) is a technique that provides singlemolecule
resolution, with measurements in native buffer
conditions. It provides a result in under five minutes –
making it at least 15–20x faster than SDS-PAGE and SEC
– and uses little sample. Compatible with a wide range
of buffers with varying levels of salts and pH, it facilitates
rapid screening of buffer conditions. Using single-molecule
mass measurement, it readily identifies heterogeneous
samples – resolving different oligomeric species and
complex formation.
In this application note, we demonstrate how the mass
photometer MyMass™ provides valuable insights into
sample purity and homogeneity over a broad mass range
and a variety of buffers, with speed and accuracy. First, it
shows how changes in pH alter the ratio of thyroglobulin
monomers to dimers. Second, it reveals differences in
the purity of two commercially available catalase enzyme
products. Third, it clearly reports how the presence of
urea and nucleotides affects the stabiity of the 14-mer
chaperonin GroEL.
With its ease of use, rapid data acquisition (one minute),
and low sample requirements (30 μL at 10 nM),
MyMassMP enables fast, reliable sample assessment
without compromising accuracy. Good resolution and a
broad accessible mass range (55 kDa to 3 MDa) allow
characterization of diverse biomolecular systems under
native buffer conditions, making MyMassMP a powerful
tool for quick sample checks and an attractive alternative
to SDS-PAGE, SEC, and DLS.
At a glance
• The mass photometer MyMass™ assesses
sample purity and homogeneity in minutes,
using just nanograms of sample.
• MyMassMP works across a broad mass range
(55 kDa–3 MDa).
• This application note uses well-characterized
proteins to demonstrate how MyMassMP can
quickly check sample purity and help optimize
buffer conditions.
• MyMassMP leverages mass photometry to
measure biomolecules at the single-molecule
level in native buffer conditions.
• MyMassMP is ideal for checking sample
quality or optimzing buffer conditions before
challenging or costly analytical techniques such
as cryo-EM, native MS, SPR, or BLI.
• MyMassMP is easy to use and versatile, offering
a fast, reliable alternative to SDS-PAGE, SEC,
and DLS for routine sample evaluation.
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Measuring thyroglobulin sample
purity and pH sensitivity
The protein thyroglobulin (Tg), produced by the thyroid
gland, stores and transports thyroid hormones. Tg exists
as a non-covalent dimer of ~660 kDa (human) and ~670
kDa (bovine). As a large and structurally heterogeneous
glycoprotein with multiple glycosylation and iodination
sites, it can be difficult to characterize by conventional
methods.
We used MyMassMP to assess the purity and
homogeneity of commercially available bovine Tg.
According to the analysis, the most abundant population
(73% of fitted particles) had a mass close to the expected
670 kDa (Fig. 1). Lower-mass species were also detected,
at 144 and 336 kDa, while higher-mass species were
observed at very low abundance, below the threshold
for fitting. Mass photometry signals with a mass below
55 kDa were not counted, as they cannot be reliably
differentiated from background noise.
The 336 kDa species likely represents the Tg monomer,
while the 144 kDa species may correspond to
degradation products or impurities (e.g. antibodies).
The results show that the measurement is accurate and
provides an overview of sample composition. The dimer
peaks, at 663 kDa, are within 2% of the expected value;
the monomer peaks, at 336 kDa, are within 1%.
This accuracy is particularly notable because Tg – as a
large glycoprotein – tends to display significant structural
heterogeneity, making it difficult to analyze with
chromatographic methods, such as gel electrophoresis
and SEC. It may even be too large to enter the
chromatographic matrix (PAGE) or elute near the void
volume with low resolution (SEC). However, as MP
accommodates a wide mass range and is not sensitive
to shape, it can readily characterize large, structurally
heterogeneous molecules like Tg.
As the ratio of monomeric to dimeric Tg is responsive
to changes in acidity,1 we next evaluated the effect of pH
changes on the Tg monomer:dimer ratios we observed
with MyMassMP. We measured the samples immediately
after dilution into buffer of pH 3, 4.6, 5.8, or 7. Dimeric
Tg remained the more abundant Tg species at pH 4.6, 5.8,
and 7, with about 80% dimers and 20% monomers for all
of three pH values (Fig. 2). However, at pH 3, the ratio
shifted and monomers became more abundant – with
45% dimers and 55% monomers (Fig. 2). For all four
pH values, the relative abundance of dimers remained
unchanged after 1 h and even 24 h of incubation at the
new pH (not shown). The mass of each peak (based
on the mean of a Gaussian fit) was not affected by pH.
These results confirm that the Tg dimer interface is
immediately disrupted in very acidic conditions.
By revealing the relative abundance of the dimers and
monomers – and detecting additional species present –
the analysis provides valuable details about sample purity
as well as sensitivity to buffer conditions.
Figure 1. MyMassMP reveals abundance of Tg monomers
and dimers, and presence of additional species.
Three peaks were detected, including the main expected
dimer peak at 663 kDa and lower-mass peaks at 144, and 336
kDa. Analysis was performed on 40 ng of Tg in PBS (pH 7.4) at
a concentration of 1.33 μg/mL. Inset: Standard output from
MyMassMP, showing the output of MyMassMP measurements:
Mass (kDa), standard deviation of each Gaussian fitted peak (σ),
and relative abundance of each population (%).
Figure 2. MyMassMP reveals sensitivity of Tg monomer:
dimer ratio to pH. Tg was diluted to 1.33 μg/mL
in buffer of the indicated pH and measured immediately on
MyMassMP. As in Fig. 1, multiple peaks were detected. The Tg
monomer (labeled “A”) and dimer (labeled “B”) peaks were
selected for quantification.
Peak Mass
(kDa)
σ
(kDa)
% of
fitted
A 144 24 11%
B 336 28 16%
C 663 42 73%
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Relating catalase sample purity to
catalytic activity
Many functional studies rely on reagents of biological
origin, which can vary from batch to batch. Enzymes are
a prime example, and their quality is often quantified in
terms of their enzymatic units. However, what lies behind
varying levels of catalytic activity across different batches
or purification procedures is not always known.
One example of an enzyme that is widely used in the
medical and food industries is catalase, which breaks
down hydrogen peroxide into water and oxygen. Active
catalase is a tetramer of ~240 kDa. To explore whether
MyMassMP could provide insights into differences in
catalytic activity, we used it to assess two different
commercially available catalase products, one with low
catalytic activity (2 KU per mg of protein) and one with
higher catalytic activity (10 KU/mg).
MyMassMP showed that both catalase products had
prominent peaks at the expected tetramer mass of ~240
kDa. However, the product with higher catalytic activity/
mg of protein clearly showed a higher abundance of
tetrameric catalase than the lower-activity product (Fig.
3). In the higher-activity product, the tetramer accounted
for 55% of the species in fitted peaks; in the loweractivity
product, it was 34% (Fig. 3 insets). In addition,
in the lower-activity product, the mass of the lowermass
species was 87 kDa, which does not correspond
to catalase monomer or dimers – suggesting that this
preparation contained impurities.
The catalase measurements show that the overview
of sample composition from MyMassMP is valuable for
detecting impurities and ensuring that a sample is suitable
for downstream applications or further functional studies.
Figure 3. MyMassMP analysis of catalase products
reveals differences in sample purity that correspond
to differences in catalytic activity. MyMassMP analysis
of commercially available catalase products with A) lower and
B) higher enzymatic activity revealed a greater abundance of
tetrameric catalase in the higher-activity product. 72 ng of each
catalase was measured in PBS. Insets: Standard output from
MyMassMP, showing the output of MyMassMP measurements:
Mass (kDa), standard deviation of each Gaussian fitted peak
(σ), and relative abundance of each population (%). Catalase
tetramer schematic modified from Yancheva et al. (2025).3
Peak Mass
(kDa)
σ
(kDa)
% of
fitted
A 87 23 66%
B 229 28 34%
Peak Mass
(kDa)
σ
(kDa)
% of
fitted
A 60 21 45%
B 240 22 55%
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Observing how buffer conditions
affect GroEL stability
The bacterial chaperone GroEL forms an ~800 kDa
double-ringed barrel-shaped complex composed of 14
identical subunits. GroEL is also an ATPase, and although
its structure is stable without bound nucleotides, the
presence of ATP or other adenine nucleotides makes its
oligomeric assembly more easily disrupted by agents like
urea.2
GroEL is challenging to purify and characterize for
several reasons. As a molecular chaperone, it frequently
co-purifies with unfolded or partially folded substrate
proteins, complicating the assessment of sample purity.
In addition, GroEL lacks tryptophan residues, making its
concentration difficult to quantify using absorbance at
280 nm (A280). As a result, A280-based concentration
estimates can substantially underestimate the true protein
concentration and enrichment during purification is hard
to monitor.
Limitations of common characterization techniques arise
with GroEL, but are overcome by MP. SDS-PAGE disrupts
non-covalent interactions, preventing observation of its
native oligomeric assemblies. Native PAGE preserves
oligomerization but is challenging for very large complexes
such as GroEL, as the low-percentage gels required are
fragile and migration becomes difficult to reproduce.
SEC maintains oligomeric structure but typically relies on
UV detection; because GroEL has negligible absorbance
at 280 nm, it is often poorly detected unless additional
labeling or alternative detection methods are used. MP
avoids these challenges as it has a wide mass range, does
not require labels, and uses native buffer.
MyMassMP characterization of GroEL samples diluted to
25 nM showed three main populations, corresponding to
14-mers, 7-mers, and monomers (Fig. 4). The presence
of these different peaks indicates that some disassembly
of the 14-mer occured, but the amount of monomer
present cannot be reliably determined from this
measurement due to the monomer mass (~57 kDa) being
at the instrument’s lower limit of detection (55 kDa).
To study GroEL-assisted folding of proteins, target
proteins are often unfolded using denaturants such
as urea. However, it is important to work under urea
concentrations that do not destabilize the GroEL 14-
mer, and make it non-functional. We therefore explored
whether MyMassMP could check this stability.
We used MyMassMP to assess GroEL stability when
exposed to urea (1 M) in the presence of the nucleotides
Mg-ATP and Mg-ADP (Fig. 5). It showed that the 14-mer
Figure 4. MyMassMP reveals GroEL disassembly
after dilution in PBS. At GroEL was diluted to 25 nM
(monomer) in PBS, then measured after 90 min. The three
main peaks correspond to monomers (A), 7-mers (B) and 14-
mers (C).
remained mostly stable in the presence of urea without
nucleotides, even after 2 h incubation. However, the
14-mer had clearly disassembled after 2 h incubation
in the presence of the nucleotides, and Mg-ADP was
associated with slightly more disassembly than Mg-ATP.
Although the loss of 14-mer could not be correlated to
an increase in monomers (due to the monomer being
at the instrument’s detection limit), disassembly was
confirmed in a separate measurement on a TwoMP mass
photometer (not shown).
This type of information is valuable for researchers using
GroEL and urea in folding assays, as it provides certainty
about the combination of urea concentration and buffer
conditions needed to preserve GroEL stability and
function.
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Figure 5. MyMassMP analysis reveals how urea-induced disassembly dynamics of GroEL are affected by the
presence of Mg-ATP or Mg-ADP. MyMassMP histograms of GroEL exposed to urea under control conditions or in the presence
of Mg-ATP or Mg-ADP – either A. immediately after or B. 2 h after the introduction of urea.
Conclusion
MP offers a fast, label-free way to characterize proteins
and other biomolecules and particles in solution at the
single-molecule level. It measures sample purity and
heterogeneity, and more under native conditions. The
MyMassMP instrument builds on these advantages to
deliver rapid, high-resolution analysis through an easy-touse
benchtop instrument. Each measurement takes just
one minute and requires minimal sample (30 μL at 10
nM).
Unlike SDS-PAGE, which denatures proteins and disrupts
oligomers, MP preserves native assemblies. Compared
with SEC, it avoids slow column-based separation,
eliminates potential sample–matrix interactions, and
provides direct mass measurements rather than relying on
elution volume. DLS, as a bulk technique, averages over
all particles and often lacks the resolution to detect minor
populations, whereas MP identifies individual molecules,
revealing subtle differences in oligomer composition and
purity.
In this application note, MyMassMP was used to effectively
characterize samples of three different proteins –
providing useful insights for assessing sample purity and
optimizing buffer conditions. For the large, heterogeneous
glycoprotein thyroglobulin, it revealed monomer–dimer
ratios and pH-dependence; for the the widely used
enzyme catalase, it showed differences in purity across
different commercial preparations, which corresponded
to differences in catalytic activity; and for the 14-mer
GroEL, it reported how urea and the nucleotides Mg-ATP
and Mg-ADP affected stability.
MyMassMP assesses sample purity and homogeneity in
minutes, using nanograms of sample. It helps researchers
quickly determine whether samples are suitable for
downstream functional or structural studies, optimize
experimental conditions, and ultimately save time and
resources.
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Materials and methods
MyMassMP measurements
MassGlass™ UC sample carrier slides and cassettes were
assembled as recommended by the manufacturer (Refeyn
Ltd.). The MyMass instrument was calibrated with Refeyn’s
MassFerence™ P1 protein calibrant. Samples were diluted
in the indicated buffers to the indicated concentrations
and 30 μL of sample was run on MyMassMP following the
manufacturer’s instructions.
Thyroglobulin sample preparation
Citrate and Na2HPO4 were combined at different ratios
to prepare buffers of different pH, and NaCl was added
to a final concentration of 150 mM. Tg (Sigma, 1 mg/mL
in PBS) was diluted to a final concentration of 1.33 μg/mL
for measurement in the buffer indicated.
Catalase sample preparation
Catalase 2 KU/mg and 10 KU/mg (Sigma) were
resuspended in PBS at 1 mg/mL. They were diluted to 2.4
μg/mL (~10 nM tetramer/ 40 nM monomer) in PBS prior
to measurement.
GroEL sample preparation
GroEL (Sigma) 1 mg/mL was diluted to 0.15 mg/mL in
either:
• PBS (control)
• PBS with 10 mM MgCl2, 1 mM ATP
• PBS with 10 mM MgCl2, 1 mM ADP
10 μL of GroEL 0.15 mg/mL was combined with 4 M
urea (final urea concentration 1 M) and incubated on
ice for the indicated time. Irrespective of pretreatment,
samples were diluted to 1.5 μg/mL GroEl (~25 nM
monomer) in PBS at room temperature for measurement.
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v01-Mar26
References
1. Schneider, A. B. & Edelhoch, H. 1970. J. Biol. Chem..
https://doi.org/10.1016/S0021-9258(18)63348-4
2. Lissin, N. M. 1995. FEBS Lett.
https://doi.org/10.1016/0014-5793(95)00151-x
3. Yancheva, Y.D. et al. 2025. Nano Lett.
https://doi.org/10.1021/acs.nanolett.4c05792
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