Byoung-Jin Jeon1, Murugappan Muthukumar1. 1. Department of Polymer Science and Engineering, University of Massachusetts , Amherst, Massachusetts 01003, United States.
Abstract
We introduce a single molecular analysis technique for the evaluation of molecular weight distributions of polyelectrolyte solutions by measuring translocation times of sodium polystyrenesulfonate (NaPSS) chains in a mixture passing through an α-hemolysin protein nanopore. The ionic current through an α-hemolysin nanopore is partially blocked transiently when the pore is occupied by a polymer chain with an average residence time proportional to the molecular weight of the polymer chain. We have measured the translocation times for an equimolar mixture of four different molecular weight NaPSS standards and observed distinct translocation time distribution peaks, each of which corresponding to the different components in the mixture. Size exclusion chromatography analyses were performed on the equimolar and equiweight NaPSS mixtures of the same components and compared with the translocation time measurements. The experimental results demonstrate that measuring translocation times can be a competitive technique for estimating the broad molecular weight distributions of polyelectrolytes.
We introduce a single molecular analysis technique for the evaluation of molecular weight distributions of polyelectrolyte solutions by measuring translocation times of sodium polystyrenesulfonate (NaPSS) chains in a mixture passing through an α-hemolysin protein nanopore. The ionic current through an α-hemolysin nanopore is partially blocked transiently when the pore is occupied by a polymer chain with an average residence time proportional to the molecular weight of the polymer chain. We have measured the translocation times for an equimolar mixture of four different molecular weight NaPSS standards and observed distinct translocation time distribution peaks, each of which corresponding to the different components in the mixture. Size exclusion chromatography analyses were performed on the equimolar and equiweight NaPSS mixtures of the same components and compared with the translocation time measurements. The experimental results demonstrate that measuring translocation times can be a competitive technique for estimating the broad molecular weight distributions of polyelectrolytes.
The molecular weight of synthetic
polymers has distributions rather than being a single value. Among
many techniques for determining molecular weights of macromolecules,
size-exclusion chromatography (SEC) and matrix-assisted laser desorption/ionization
time-of-flight (MALDI-TOF) mass spectrometry are the two most common.
Application of these techniques for characterizing molecular weights
of polyelectrolytes is faced with many difficulties, as well-documented
in the literature.[1−8] For mixtures of polyelectrolytes, it has been reported that the
determination of broad molecular weight distributions is challenging
due to interference among molecules from different molecular weight
populations. In addition, specific experimental conditions are required,
depending specifically on the molecular weight of polymer chains in
the sample.[1−8] For example, in the MALDI-TOF mass spectrometry, Martin et al. showed
that optimal laser powers are required for desorption/ionization reactions,
depending specifically on the molecular weights of polymer samples.[1] Also, in the case of SEC, Mori has pointed out
that in aqueous SEC analyses of NaPSS the retention volume is not
only governed by size-exclusion but also affected by ion-exclusion
effects and hydrophobic interactions.[9] For
aqueous SEC analysis with ionic polymers, optimal conditions of pH
and ionic strength of the mobile phase ought to be sought out in order
to minimize the ion-exclusion effect. In addition, selection of eluent
should be carefully considered to overcome hydrophobic interactions
between polymers and the column support materials.[10]In this Letter, we present an additional method to
determine the
molecular weight distributions of polyelectrolyte mixtures based on
single-molecule electrophoresis through a nanopore. Recently, biological
and solid-state nanometer-scale transmembrane pores have been used
to characterize diverse water-soluble analytes including single-stranded
and double-stranded polynucleotides, proteins, synthetic ionic/nonionic
polymers, and small organic molecules.[11−26] Upon externally applied electric potential across a nanopore-embedded
membrane, ion flow through the nanopore is transiently blocked by
analyte molecules. The blockage times and amplitudes of ionic current
blockades are specific to the particular analyte, enabling the characterization
of the analyte. There have been reports of developing a mass spectrometric
method for poly(ethylene glycol) (PEG) using an α-hemolysin
protein pore through a series of studies.[27−30] Using the fact that the amplitude
of the PEG-induced current blockade of the α-hemolysin pore
depends on the polymer molecular weight,[19] the studies clearly resolved the repeat unit of ethylene glycol
from a polydisperse PEG sample. However, the technique has two limitations:
(1) The application of this technique is limited for short PEG molecules, n < 50, where n is the number of repeat
units, because of saturation of current blockades for larger PEG molecules.
(2) It is an analyte-specific analysis in that the method is based
on the PEG–protein pore interaction.Also using the α-hemolysin
pore, but with long synthetic
polyelectrolytes and by measuring translocation times, we introduce
here a technique of single-molecule-level analysis to determine molecular
weight distributions of charged polymers. In order to determine the
molecular weights of macromolecules with broad distributions, such
as a multicomponent mixture of polymer standards with narrow polydispersities,
a desirable method is to measure the length of a single polymer chain,
one at a time. In nanopore–polymer translocation experiments,
especially for the α-hemolysin protein pore, a long polyelectrolyte
chain transports through the pore only in single file, and an average
time taken for the chain to completely pass the pore is known to be
proportional to the chain length.[12,31−33] In this work, molecular weight distribution of a mixture of sodium
salts of polystyrenesulfonate (NaPSS) with different molecular weights
was determined by measuring durations of NaPSS passing through an
α-hemolysin pore. SEC measurements were performed on NaPSS mixtures
with the same components used in translocation experiments, and the
results are compared.Samples of NaPSS mixtures for translocation
experiments are prepared
by mixing equal moles of NaPSSpolymers with four different molecular
weight distributions (Scientific Polymer Products, Inc., NY) in 10
mM HEPES buffer with 1 M KCl with pH 7.5. The weight-average molecular
weights of NaPSS standards are 1.53, 16, 34.7, and 126.7 kg/mol with
polydispersity indices with 1.12, 1.13, 1.16, and 1.17, respectively,
as given by the manufacturer. The experimental details are illustrated
in Figure 1a, and procedures for the preparation
of the lipid bilayer and a single α-hemolysin pore can be found
in our previous reports.[32,34] After forming a single
α-hemolysin pore on the lipid bilayer membrane in 10 mM HEPES
buffer with 1 M KCl at pH 7.5, 10 μL of a 0.1 mM NaPSS mixture
sample was added to one side of the membrane (cis) and waited for about 10 min for mixing. The ionic current was recorded
using pClamp software (Molecular Devices, LLC., MA) with a 3 μs
interval and a 10 kHz low-pass Bessel filter, while constant electric
potential was applied in the voltage clamp mode by a patch clamp amplifier
(Axon Instruments, CA) across the pore. All translocation experiments
were performed at room temperature. The recorded current traces were
analyzed with MATLAB (Mathworks, Inc., MA) software customized in
our laboratory. As seen in Figure 1b, two current
blocking levels are detected for NaPSS passing through an α-hemolysin
pore, where once a polymer chain enters into the pore mouth and occupies
the vestibule region of the α-hemolysin pore the ionic current
drops as 30–60% of the open-pore current, and when one of the
chain ends finds the narrowest region of the pore and threads though
the pore, the current is blocked about 80–95%. We set 70% of
open pore current as a threshold for deep blocking events (threshold
2) and measured the successful translocation times, τ2.
Figure 1
(a) Schematic description of polymer translocation through the
α-hemolysin pore. (b) Ionic current through the α-hemolysin
pore for translocation events of 16 kDa NaPSS at 140 mV. Threshold
1 and 2 are 75% and 30% of the open pore current, respectively. (c)
Average successful translocation time is proportional to the molecular
weight of NaPSS.
(a) Schematic description of polymer translocation through the
α-hemolysin pore. (b) Ionic current through the α-hemolysin
pore for translocation events of 16 kDa NaPSS at 140 mV. Threshold
1 and 2 are 75% and 30% of the open pore current, respectively. (c)
Average successful translocation time is proportional to the molecular
weight of NaPSS.Polymer translocation
is a stochastic phenomenon with a distribution
of translocation times even for monodisperse polymers (see Figure
1 of Supporting Information (SI) for the
precisely monodisperse poly(dT)80). We have constructed
histograms of log τ2 for different molecular weight
samples of NaPSS at different externally applied voltages (140, 160,
and 180 mV). Such histograms are taken as the standards for the individual
components in analyzing the data for mixtures. Typical histograms
for the standards are given in Figure 2 of SI. We have plotted the peak positions (τ2,peak) of
these standard histograms in Figure 1c as a
function of the weight-average molecular weight of NaPSS standards
for 140, 160, and 180 mV.When the equimolar NaPSS four-mixture
sample was added into the cis side, the historgram
of log τ2 shows
multiple peaks as expected, corresponding to different NaPSS components
in the mixture. At 180 mV, the peaks are highly overlapped, and only
two peaks for 35 and 127 kDa NaPSS are observable. As applied voltage
decreases, distributions of translocation times become broader, and
differences between peaks for different NaPSS components increase.
We observed that the translocation time distributions of the four
different molecular weight NaPSS are most distinguishable at 140 mV.
As shown in Figure 2, three distinct peaks
and an inflection point were observed, allowing us to estimate the
molecular weights of the NaPSS components in the mixture using a τ2,peak vs Mw plot (Figure 1c). All components in the mixture are readily identified
at 140 mV.
Figure 2
Histogram of translocation times for the equimolar NaPSS 4-mixture
at 140 mV of applied voltage (black dots). The Gaussian fitting with
fixed fwhm values for each NaPSS component allows deconvolution of
the histogram into its components (purple, 127 kDa; aqua, 35 kDa;
blue, 16 kDa; and green, 1.5 kDa). The sum of these components is
the red curve.
Histogram of translocation times for the equimolar NaPSS 4-mixture
at 140 mV of applied voltage (black dots). The Gaussian fitting with
fixed fwhm values for each NaPSS component allows deconvolution of
the histogram into its components (purple, 127 kDa; aqua, 35 kDa;
blue, 16 kDa; and green, 1.5 kDa). The sum of these components is
the red curve.The peak widths are seen
to depend on the peak position even though
the NaPSS standards have similarly narrow polydispersity indices.
This is because we have plotted the logarithm of τ2 on the x-axis. To confirm the individual peaks
in the histogram for the mixture, we have calculated the average full
width at half-maximum (fwhm) values for log τ2 distributions
of 16, 35, and 127 kDa NaPSS standards from multiple experiments.
Using OriginPro 8.5 software, multipeak fitting was performed with
fixed average fwhm values, 0.8, 0.58, and 0.45 for 16, 35, and 126
kDa, respectively (Figure 2). Using this deconvolution
procedure, the integrated areas for the individual components are
95.2, 131.0, and 101.4, respectively, for 16, 35, and 126 kDa. These
areas are roughly the same, as expected for an equimolar mixture.
It is remarkable that even the 1.5 kDa component in the mixture is
identifiable. The area for this low molar mass component is 13.0,
as not all translocation events are captured for such fast-moving
molecules (see Figures 2(a) and 3 of SI). The equivalence of equal areas for the components of the equimolar
mixture is seen in our experiments due to the fact that the capture
rate and the probability of successful translocation are independent
of molecular weight under the experimental conditions reported here.The SEC system consisted of an Agilent 1100 Series Isocratic Pump
(Agilent Technologies, Inc., CA), Optilab rEX refractive index (RI)
detector (Wyatt Technology, Inc., CA), and DAWN EOS light scattering
detector (Wyatt Technology, Inc., CA). For all experiments a Waters
Ultrahydrogel Linear Column (Waters Corp., MA) was used, and the elution
profiles were recorded using Wyatt ASTRA software. The aqueous solution
of 0.1 M NaNO3 and 0.02% NaN3 was mixed with
acetonitrile with a volume ratio of 80:20 and used as a mobile phase
and solvent in all SEC experiments. The amounts of samples injected
were 100 μL each, and the flow rate was fixed at 0.5 mL/min.SEC elution
profiles (a) for 0.1 mM NaPSS samples and the equimolar
NaPSS 4-mixture and (b) for 3 mg/mL of NaPSS samples and the equiweight
NaPSS 4-mixture.Figure 3a illustrates, from top to bottom,
the SEC mass spectra from the RI detector for 0.1 mM of 1.5, 16, and
35 kDa NaPSS and 0.025 mM of 127 kDa NaPSS solution. The last one
is for the equimolar NaPSS 4-mixture sample (0.025 mM for each component)
with the same composition as the sample used in the translocation
experiments. The detailed view of the SEC profile for the 1.5 kDa
NaPSS lets us observe a very small peak which comes from the NaPSS
molecules. This peak is overlapped with a later elution peak for small
ions, resulting in a peak tailing as shown in the inset of the plot.
In the next three plots, a single large peak appears each for 16,
35, and 127 kDa of NaPSS standards. In the last elution profile of
Figure 3a, for the equimolar 4-mixture, the
RI detector illustrates two distinguished peaks (35 and 127 kDa) and
a very small curved slope (1.5 k, first small hill in the inset),
which is followed by a small peak for the small ions. The signal for
the 16 kDa NaPSS is overlapped with that for the 35 kDa NaPSS and
only slightly bends the curve (around 32 min of elution time). A light
scattering detector was also used simultaneously, but discrimination
of peaks for the NaPSS 4-mixture was even worse (data not shown) than
RI results.
Figure 3
SEC elution
profiles (a) for 0.1 mM NaPSS samples and the equimolar
NaPSS 4-mixture and (b) for 3 mg/mL of NaPSS samples and the equiweight
NaPSS 4-mixture.
RI detector in SEC analyses records elution profiles
based on the
concentration of the polymer eluted (weight-based detection), while
measuring τ2 is a number-based analysis where we
count the number of polymer chains passing through a nanopore. For
example, in the elution profile of the equimolar NaPSS 4-mixture,
the elution peaks for 1.5, 16, and 35 kDa NaPSS are much smaller than
that for 127 kDa because the total weight of molecules is much less.
Therefore, we wondered whether one could observe distinct elution
peaks if the weights of the four NaPSS components in the mixture are
comparable. In view of this, the equiweight NaPSS 4-mixture was prepared
by mixing an equal volume of 3 mg/mL of 1.5, 16, 35, and 127 kDa NaPSS
standards and introduced to the SEC column. As shown in the last plot
of Figure 3b, four distinct peaks were observed
in the elution profile of the NaPSS equiweight mixture, with each
peak representing the four NaPSS components in the mixture. Although
this result is different from the equimolar mixture result, however,
we noticed that the elution times of each component in the equiweight
NaPSS mixture are not consistent with those of single-component NaPSS
standards. 1.5, 16, and 127 kDa NaPSS chains in the equiweight mixture
were eluted earlier than those in the single-component standards as
much as 0.11, 0.18, and 0.5 min, respectively (0.06, 0.09, and 0.25
mL differences in elution volume). These difficulties in inferring
the correct molecular weights of the components in the mixture might
be attributed to sequential size exclusion among the components and
local concentration gradients.[3−8]We have introduced a technique to evaluate molecular weights
of
polymer chains in polyelectrolyte mixtures by measuring the translocation
times when the polyelectrolyte chains pass through an α-hemolysin
nanopore. An equimolar mixture of four different standards of NaPSS
(Mw = 1.5, 16, 35, and 127 kDa) was used
as a model polyelectrolyte mixture sample. The histogram of translocation
times at 140 mV shows three distinct peaks and one shoulder-like feature,
and each peak position is in good agreement with its standard curve
of translocation time vs molecular weight of NaPSS. This is because
the NaPSS chains cannot transport through the α-hemolysin pore
simultaneously, but only one at a time, unlike in the SEC where polymer
molecules choose different paths with random motion and affect each
other while being analyzed.There are still several improvements
to be made in fine-tuning
this method into a routine technique for determining molecular weights
of polyelectrolytes. There is an intrinsic stochasticity in the translocation
time distribution even for very narrow molecular weight samples. In
its own right, this is an intriguing problem, and substantial effort
is being mounted in many laboratories worldwide to reduce this stochasticity.
There are immediate avenues to explore in terms of different solvents,
identity and amount of the low mass electrolyte which is primarily
responsible for the ionic current, temperature, gradients in pH and
ionic strength across the pore, and different kinds of nanopores,
in order to transform the single-molecule electrophoresis into a more
robust technique for characterizing and separating large polyelectrolytes.
It is also highly desirable to establish a universal calibration for
the translocation experiment.
Authors: Seico Benner; Roger J A Chen; Noah A Wilson; Robin Abu-Shumays; Nicholas Hurt; Kate R Lieberman; David W Deamer; William B Dunbar; Mark Akeson Journal: Nat Nanotechnol Date: 2007-10-28 Impact factor: 39.213
Authors: Joseph E Reiner; John J Kasianowicz; Brian J Nablo; Joseph W F Robertson Journal: Proc Natl Acad Sci U S A Date: 2010-06-21 Impact factor: 11.205