Laura L E Mears1, Emily R Draper1,2, Ana M Castilla1, Hao Su3, Bart Dietrich1,2, Michael C Nolan1,2, Gregory N Smith4, James Doutch5, Sarah Rogers5, Riaz Akhtar6, Honggang Cui3, Dave J Adams1,2. 1. Department of Chemistry, University of Liverpool , Liverpool, L69 7ZD, United Kingdom. 2. School of Chemistry, WESTChem, University of Glasgow , Glasgow, G12 8QQ, United Kingdom. 3. Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, Johns Hopkins University , 3400 North Charles Street, Baltimore, Maryland 21218, United States. 4. Department of Chemistry, University of Sheffield , Brook Hill, Sheffield, S3 7HF, United Kingdom. 5. STFC ISIS Neutron and Muon Source, Science and Technology Facilities Council, Rutherford Appleton Laboratory , Harwell Oxford, Didcot, OX11 0QX, United Kingdom. 6. Department of Mechanical, Materials and Aerospace Engineering, School of Engineering, University of Liverpool , Liverpool L69 3GH, United Kingdom.
Abstract
Low molecular weight gels are formed by the self-assembly of a suitable small molecule gelator into a three-dimensional network of fibrous structures. The gel properties are determined by the fiber structures, the number and type of cross-links and the distribution of the fibers and cross-links in space. Probing these structures and cross-links is difficult. Many reports rely on microscopy of dried gels (xerogels), where the solvent is removed prior to imaging. The assumption is made that this has little effect on the structures, but it is not clear that this assumption is always (or ever) valid. Here, we use small angle neutron scattering (SANS) to probe low molecular weight hydrogels formed by the self-assembly of dipeptides. We compare scattering data for wet and dried gels, as well as following the drying process. We show that the assumption that drying does not affect the network is not always correct.
Low molecular weight gels are formed by the self-assembly of a suitable small molecule gelator into a three-dimensional network of fibrous structures. The gel properties are determined by the fiber structures, the number and type of cross-links and the distribution of the fibers and cross-links in space. Probing these structures and cross-links is difficult. Many reports rely on microscopy of dried gels (xerogels), where the solvent is removed prior to imaging. The assumption is made that this has little effect on the structures, but it is not clear that this assumption is always (or ever) valid. Here, we use small angle neutron scattering (SANS) to probe low molecular weight hydrogels formed by the self-assembly of dipeptides. We compare scattering data for wet and dried gels, as well as following the drying process. We show that the assumption that drying does not affect the network is not always correct.
Low molecular weight
gels (LMWG) are receiving a lot of attention.[1−9] Unlike covalently cross-linked polymer gels, LMWG are formed when
small molecules self-assemble into one-dimensional structures such
as fibrils, fibers, or tubes. At a sufficiently high concentration
(the so-called minimum gelation concentration (mgc)), these structures
entangle and branch to a sufficient degree that a sample spanning
network is formed. This immobilizes the solvent, resulting in a gel.
Typically, the mgc will be less than 1 wt%. Such gels are reversible,
for example reverting to a solution on heating.[7] For peptide-based LMWG, the main driving forces of gel
formation are noncovalent interactions. Changes in temperature or
pH and the addition of salts can all lead to changes in the interactions
between LMWG molecules that drive self-assembly into a kinetically
trapped state. The kinetics and thermodynamics of dipeptide gelation,
specifically focusing on diphenylalanine, has been reviewed recently,[10] although the thermodynamic aspects of gelation
remain less well understood. Drying could lead to changes in the kinetically
trapped structures to a thermodynamic energy minimum such as crystallization
or the fibers could be maintained.There is significant interest
in such gels for applications in
cell culturing,[4,11] controlled release,[12] optoelectronics,[5] drug therapies,[13] and oil recovery.[14] For these applications, key properties include
the absolute mechanical strengths, the recoverability after shear
(for example, in drug delivery where the gel would be passed through
a needle),[15] or the thermal reversibility.[16,17] All of these properties depend on the fiber network, which means
that characterizing and understanding this network is absolutely vital.To characterize such gels, a range of methods have been used. Rheological
methods inform as to the mechanical properties, but the network type
has to then be inferred.[18,19] Techniques such as
infrared spectroscopy or circular dichroism can provide information
as to the molecular packing, but cannot provide detail about the network.
It is most common for a range of microscopy techniques to be used.Moving down in microscopy length scales, optical microscopy simply
cannot provide the necessary resolution to image the self-assembled
fibers. Confocal microscopy can provide information at a relatively
large length scale (although these techniques are improving constantly,
and there are some extremely effective high resolution methods that
are just coming on line).[20,21] However, for confocal
microscopy, either the molecule has to be synthetically adjusted such
that it is fluorescent, which is likely to change its self-assembly
behavior, or a fluorescent stain has to be added, which may affect
the system. Scanning electron microscopy (SEM) and transmission electron
microscopy (TEM) have been widely used.[22] Both of these methods usually require that the gel is dried. Further,
for SEM it is common to sputter a metal onto the structures, and for
TEM it is common to stain the structures, for example, with a heavy
metal salt. The structures are then imaged under high vacuum. Although
it is commonly assumed that the structures are related to those in
the native, wet gel, there is often little evidence that this is the
case. Cryo-SEM can be used, but there can easily be artifacts arising
from freeze-concentration effects. In some cases, cryo-TEM is used.[23,24] Here, the sample is imaged in a vitrified hydrated state, which
is presumably closer to the native structure. However, the sample
preparation requires a thin film, which is difficult to access for
a gel sample. Most experimental procedures involve placing a TEM grid
on a gel or dipping into the gel. As such, the network may be disrupted
and it might be that truly entangled fibers are not removed, but rather
only free fibers are adsorbed. Certainly, the requirement of a maximum
thickness means that analyzing the gel state is difficult. Finally,
it should also be noted that such microscopy can only possibly access
a tiny fraction of the structures in the gel due to the magnification
used.Scattering methods, however, allow the bulk sample to
be analyzed.
For gels, small-angle X-ray and neutron scattering experiments are
widely used.[25−30] While requiring access to a facility, the data is relatively easy
to collect. Bulk samples can be analyzed and, critically while in
the wet, solvated state at ambient temperatures. This means that there
is no need to dry or stain the sample (although for small angle neutron
scattering, it is necessary to use a deuterated solvent for contrast).
Having collected the data, these are then fitted with a mathematical
model to access information about the fibers, and the network if a
sufficiently wide Q-range can be accessed (Q is the scattering variable, an inverse length scale defined
as Q = (4π/λ)sin(θ/2), where λ
is the neutron wavelength and θ is the scattering angle).As stated, it is critical to understand the fiber network. There
are few examples where multiple forms of analysis are used to probe
the network, including examples showing a combination of scattering
and microscopy.[17,29,31−33] In some cases, there is a discrepancy between the
microscopy data and the scattering. Since the scattering is collected
in the wet state, it is tempting to assume that the microscopy suffers
from drying artifacts, especially since the structures imaged have
a higher apparent radius than that suggested by the scattering data.[34−39]Here, we use small angle neutron scattering (SANS) to probe
a number
of hydrogels formed from dipeptide gelators. We compare the wet gels
and the corresponding xerogels. We also use SANS to allow the influence
of remaining water within the structures to be better understood through
the contrast difference between hydrogen and deuterium. We compare
these data with microscopy on the gels. These data allow us to discuss
the effect of drying on these LMWGs.
Experimental
Methods
Materials
The dipeptide LMWG were prepared as we have
described previously.[40,41] The deuterated analogues were
prepared from deuterated 2-naphthol or deuterated amino acids following
the same synthetic procedures. Full experimental and characterization
data are provided in the Supporting Information. D2O, GdL, and NaOD were purchased from Sigma Aldrich
and used as received. The NaOD was purchased as a 40 wt% solution
and diluted with D2O to 0.1 M.
Gel Preparation and Drying
Procedures
Solutions of
each LMWG were prepared at 10 mg/mL in H2O (or D2O where required), including 1 mol equiv of 0.1 M NaOH (or NaOD).
The pH values of the solutions were between 10 and 11 at this point
(pD was converted to pH using a standard approach).[42] The gels were formed by adding 1 mL of solution of a gelator
to GdL (16 mg) in a vial; depending on the technique, the sample was
transferred to a cuvette (for wet SANS), or transferred to a mold
(all dried samples) with aluminum foil, providing the base layer onto
which the gel is eventually dried (or a glass coverslip for the AFM/SEM
samples). The samples were then left to gel sealed overnight. Air-dried
samples were released from the mold, loosely covered to reduce dust
or other sources of contamination or damage while drying in air on
the bench at room temperature. A small control set of samples were
instead dried inside an incubator at 25 °C to ensure temperature
fluctuations did not affect the drying process. Freeze-dried samples
were kept in the mold and placed into a lab freezer at −20
°C for approximately 7 h before being placed into a Labconco
freezone 4.5 freeze-dryer with a condenser temperature of −50
°C and a shelf temperature of 20 °C overnight. A small number
of samples were placed in liquid nitrogen instead of the lab freezer
prior to freeze-drying.
Analytical Techniques
Small Angle Neutron Scattering
(SANS)
Solutions were
prepared as described for other techniques, with D2O and
NaOD (unless otherwise stated). Gels were prepared as above using
GdL. UV spectrophotometer grade, quartz cuvettes (Starna) with a 5
mm path length were filled with the solution immediately after the
addition of GdL, allowed to gel sealed overnight and housed in a temperature-controlled
sample rack at 25 °C during the measurements. For the dried film
samples, the films were mounted over apertures in a cadmium plate,
which was then placed in the same sample rack. For the in situ drying
experiment, the gel was released from the mold after overnight gelation
and mounted on the same cadmium plate as the dried films. SANS measurements
were performed using the SANS2D instrument (ISIS pulsed neutron source,
Oxfordshire, U.K.). A neutron beam allowed measurements over a large
range in Q [Q = 4π sin(θ/2)/λ]
of 0.005–0.7 Å–1 using incident wavelengths
(λ) from 1.75 to 16.5 Å and employing a sample-to-detector
distance of 4 m, with the 1 m2 detector offset vertically 60 mm and sideways 100 mm. The measuring
times were 1–4 h dependent on
the contrast.Each
raw scattering data set was corrected for the detector efficiencies,
sample transmission and background scattering and converted to scattering
cross-section data (∂Σ/∂Ω vs Q) using the instrument-specific software.[43] These data were placed on an absolute scale (cm–1) using the scattering from a standard sample (a solid blend of hydrogenous
and perdeuterated polystyrene) in accordance with established procedures.[44] The scattering from D2O (the solvent)
was also measured and subtracted from the wet data. For data from
dried samples, the empty beam was subtracted.The instrument-independent
data were then fitted to customized
models in the SasView software package;[45] these combined an absolute power law with a (Kratky-Porod) flexible
cylinder, as described previously.[46] The Q-dependent power law (Q–) accounts for the mass fractal contribution to the
scattering intensity, which is superimposed on that from the cylindrical
structures, that is, the fibers. The fibers of the gel are represented
as a flexible worm-like chain of cylindrical Kuhn segments.
Atomic
Force Microscopy
AFM imaging was performed in
ambient conditions using the ScanAsyst mode using a Bruker Multimode
8 Nanoscope instrument with a J-scanner (Bruker Nano Inc., Santa Barbara,
CA). The samples were imaged with a Bruker RTESPA-150 probe from with
a nominal spring constant of 5 N/m. Images with size 5 μm ×
5 and 1 μm × 1 μm were collected at a probe modulation
frequency of 2 kHz. The topography images were analyzed offline using
Bruker NanoScope Analysis v 1.5 software for topography measurements.
The Section tool was used for measuring fiber diameter. Fiber diameters
were measured using the “Section tool” within the software.
Scanning Electron Microscopy
SEM images were collected
using a Hitachi S-4800 FE-SEM at 3 keV in deceleration mode at a height
between 2 and 3 mm. For air-dried samples the gel was dried onto a
glass coverslip and attached to a 15 mm screw in aluminum stub attached
via a sticky carbon tab (Agar Scientific). For freeze-dried samples
a small amount of the freeze-dried samples was stuck directly onto
the sticky carbon tab. The freeze-dried samples were very fluffy and
so had to be gently pressed flat using a glass coverslip to make them
easier to focus on for imaging. Loose freeze-dried gel was then removed
using compressed air. These images were still difficult to collect
due to the nonflat surface the freeze-drying creates making it difficult
to focus the beam properly. None of the samples were sputter coated
with metal as the fibers were very small, this ensured that measuring
the fiber widths was accurate. Images were collected in different
places on the sample chosen at random to ensure that the images were
representative.
Cryo-TEM
Cryogenic TEM imaging was
performed on the
FEI Tecnai 12 TWIN Transmission Electron Microscope, operating at
100 kV. Gels were immediately diluted five times with water to reduce
their viscosity and 6 μL of sample solution was placed on a
holey carbon film supported on a TEM copper grid (Electron Microscopy
Services, Hatfield, PA). All the TEM grids used for cryo-TEM imaging
were treated with plasma air to render the lacey carbon film hydrophilic.
A thin film of the sample solution was produced using the Vitrobot
with a controlled humidity chamber (FEI). After loading of the sample
solution, the lacey carbon grid was blotted using preset parameters
and plunged instantly into a liquid ethane reservoir precooled by
liquid nitrogen. The vitrified samples were then transferred to a
cryo-holder and cryo-transfer stage, which was cooled by liquid nitrogen.
To prevent sublimation of vitreous water, the cryo-holder temperature
was maintained below −170 °C during the imaging process.
All images were recorded by a SIS Megaview III wide-angle CCD camera.
Thermal Gravimetric Analysis
TGA measurements were
carried out on a TA Instruments SDT Q600 TGA machine using a constant
air flow of 100 mL/min. Samples were heated at a rate of 10.00 °C/min to 120.00 °C
and held there
for 20 min before further heating at 10.00 °C/min to 200.00 °C.
The sample mass used in all cases was between 3.5 and 7.5 mg. There
was no difference in sample preparation or storage from that of the
SANS samples.
Fiber Width Measurements
For cryo-TEM
and SEM, fiber
width measurements were collected using ImageJ. The scale bar was
used to set the scale for the width measurement. A total of 70 measurements
of fibers were used to create the histograms. These were done on several
images of the same gels to ensure the widths were representative.
Only objects that were clear single fibers (rather than aggregates
or undetermined fibers) were measured to ensure primary fibers were
being measured.
Results and Discussion
The gels
examined here are all formed using dipeptide gelators.[6] Initially, solutions at high pH (or pD) are prepared
in water (or D2O) at a concentration of 1.0 wt%. The pH
is then lowered by the addition of glucono-δ-lactone (GdL).
GdL quickly dissolves, and then slowly hydrolyses to gluconic acid,
resulting in a slow pH change and the formation of very reproducible
gels.[47,48] For this work, we have used a subset of
our expanded library (Figure ).
Figure 1
Structures of the gelators used here (synthesis and characterization
details in Supporting Information). Note,
for 3, the alpha substituent is a deuteron rather than
a proton, as it is for 1, 2, 4, 5, and 6.
Structures of the gelators used here (synthesis and characterization
details in Supporting Information). Note,
for 3, the alpha substituent is a deuteron rather than
a proton, as it is for 1, 2, 4, 5, and 6.The in situ hydrated primary self-assembled structures of
LMWG
that lead to the gel can be probed using SANS across a wide length
scale from a few nanometers to a couple of hundred nanometres.[25,26] SANS is particularly suited to aqueous systems such as those described
here, as the water component is easily replaced by D2O
to provide scattering length density (ρ) contrast; we refer
to this as a H-gel in D2O since the gelator is fully hydrogenous
(Figure ). It is also
possible to change the contrast by preparing an analogous deuterated
gelator, a so-called D-gel (Figure ). The scattering length densities (SLDs) for all gelators
are shown in Table S5 (Supporting Information).
Figure 2
Schematic to represent the contrast differences
when (a) wet gels
in D2O of hydrogenous LMWGs (H-gel) and partially deuterated
LMWGs (D-gel) are dried. The darker the fibers and background the
higher the scattering length density (ρ). (b) The ideal scenario
where all remaining water is removed and therefore in the matrix ρ
= 0 Å–2. (c) The more realistic scenario where
a small amount of D2O remains within the sample, as observed
by thermal gravimetric analysis (Figures S1–3 and Table S1 in Supporting Information), and therefore, ρ for the matrix could be slightly higher
than 0. This illustrates how deuteration enhances the contrast of
the xerogel.
Schematic to represent the contrast differences
when (a) wet gels
in D2O of hydrogenous LMWGs (H-gel) and partially deuterated
LMWGs (D-gel) are dried. The darker the fibers and background the
higher the scattering length density (ρ). (b) The ideal scenario
where all remaining water is removed and therefore in the matrix ρ
= 0 Å–2. (c) The more realistic scenario where
a small amount of D2O remains within the sample, as observed
by thermal gravimetric analysis (Figures S1–3 and Table S1 in Supporting Information), and therefore, ρ for the matrix could be slightly higher
than 0. This illustrates how deuteration enhances the contrast of
the xerogel.The results from SANS
of the wet H-gels (Figure and Figure S4, Supporting Information) investigated here are consistent with our previous
work, which have included the gelators 1, 4, and 6.[38,46,49] Model fitting to the data using a modified Kratky-Porod flexible
cylinder model provides information on the radius and Kuhn length
of the primary fibers.[38] An indication
of the network segregation is given by the power law exponent, which
fits the decay of the data in the low-Q region, attributed
to mass-fractal type behavior. When wet, the H-gels of 1, 4, and 6 have fiber radii in the region
of 3–4 nm (Tables S2–4 in Supporting Information).
Figure 3
Fitted SANS profiles for the hydrogenous gelator 4. Open circles represent the wet gel, open squares the air-dried
xerogel, and filled squares the freeze-dried xerogel. The solid lines
depict the model fits to the data as parametrized in the Supporting Information (Table S3). Data for the
other systems is shown in the Supporting Information.
Fitted SANS profiles for the hydrogenous gelator 4. Open circles represent the wet gel, open squares the air-dried
xerogel, and filled squares the freeze-dried xerogel. The solid lines
depict the model fits to the data as parametrized in the Supporting Information (Table S3). Data for the
other systems is shown in the Supporting Information.Applying the same scattering approach
to dried material requires
careful experimental design (Figure ) as the removal of D2O from the gel significantly
changes the scattering length density difference (Δρ)
between the gelator fibers (ρ in the region of 1–2 ×
10–6 Å–2; Table S5, Supporting Information) and the matrix by which
they are surrounded (D2O, ρ = 6.3 × 10–6 Å–2 or air, ρ = 0 Å–2). Hence, there would be a significant decrease in contrast from
a Δρ of >4 × 10–6 Å–2 to <2 × 10–6 Å–2 on drying. Thus, the
overall scattering
intensity and the intensity of the features arising from the form
factor are reduced, as illustrated by the general scattering equation
(eq ). The scattering
intensity I(Q) is also determined
from the volume fraction, defined as ϕ, the particle volume Vp and the form and structure factors of the
scattering, P(Q) and S(Q), respectively. Simultaneously, the incoherent
background, B, from the increased proportion of hydrogenous
material overshadows any features at high Q.
Scattering
from Hydrogenous Xerogels
Initially, to
examine the effect of drying, we used our hydrogenous gelators. Gels
were prepared in molds (Figure S5a, Supporting Information). After complete gelation, the samples were either
air-dried on the benchtop or frozen and dried using a freeze-dryer.
Both of these are typical sample preparation methods reported in the
literature for preparation of samples for imaging. On air-drying,
the networks collapse to form a thin film (hence, aerogels are not
formed). Using the freeze-drier, a more expanded aerogel-type material
was formed (Figure S5, Supporting Information). It should be noted that it was not possible to scale the SANS
data to gain absolute intensities for the xerogel samples. This is
because the thickness of the samples was not as uniform as would normally
be achieved for wet samples in cuvettes. Therefore, one measured thickness
would not provide an accurate representation of the sample, particularly
for the freeze-dried xerogels containing a high proportion of air.
A nominal thickness of 0.1 mm was used to reduce all the xerogel data,
providing an estimated scaling. The data have been left as reduced
on the same axes as the absolutely scaled wet gel data for ease of
comparison. The shape of the data, however, is not affected by the
scaling and in the fitting the change in scale is absorbed by the
free fitting scale factors and background parameter.For the
xerogels (Figures and S4, Supporting Information), the
scattering intensity in the region between 0.01 and 0.1 Å–1 decreases compared to the wet gels, reducing any
features that can be associated with fiber structures. This is most
clearly seen for the air-dried and freeze-dried sample of 4, as shown in Figure . The fit to this data shows that only the power-law component and
incoherent background remain in the scattering data. This suggests
that ρ of the matrix is close to contrast matching the fibers,
despite only 6–10% water remaining in the samples (as measured
using thermal gravimetric analysis (TGA), Figures S1–3 and Table S1, Supporting Information), which would
result in ρ = 0.4 to 0.6 × 10–6 Å–2. However, the features associated with fibers, in
particular the inflection between 0.01 and 0.1 Å–1, are present in other xerogels but are difficult to define by eye,
for example in the case of 1 (Figure S4, Supporting Information). The reproducibility of SANS from
the xerogel films, the benchtop air-drying method, and film stability
were confirmed (Figures S6–8, Supporting Information).All of these data show that it is difficult
to determine whether
the fibers remain in a form that can be detected by SANS upon drying.
Where there are features, they are less well defined, reducing the
confidence in the sizes determined for the H-gels due to a lack of
contrast. Hence, following the drying process in situ using the H-gels
would not be possible. Therefore, deuteration of the LMWG itself was
used to increase the scattering length density of the material and
subsequently both increase Δρ within the xerogels and
lower the incoherent background.
In Situ Drying
Initially, we examined the effect of
drying in situ using a partially deuterated gelator to maximize the
contrast in its more dehydrated states. A gel of 2 was
prepared and placed in the neutron beam while still wet (Figures and S5c,d, Supporting Information). The sample was
exposed to air, allowed to dry in a temperature-controlled environment
at 25 °C. As the sample dried, the overall scattering intensity
first decreased with the flexible cylinder features disappearing after
8 h (Figures and S9, Supporting Information). The intensity then
increased again until the sample had been drying for 24 h. In the
latter stages of drying, between 18 and 24 h, the features attributable
to fibers had returned to the original scattering pattern. Close to
absolute scaling was achieved here by using extrapolated thicknesses
assuming a linear rate of D2O loss based on multiple thickness
measurements at three time points during the experiment. We highlight
here that it is not possible to discriminate during the drying process
with SANS between water that interacted strongly with the dipeptides
compared with the water that was weakly trapped and, therefore, would
be lost first from the gel.
Figure 4
Time-dependent SANS profiles of 2 while drying. The
data have been split into plot (a) showing 0 h represented by filled
circles, 4.2 h by open circles, and 8.3 h by filled triangles, when
the overall scattering intensity was decreasing (with time, as shown
by the arrow) and (b) showing 11.9 h represented by filled circles,
13.6 h by open circles, 15.2 h by filled triangles, 15.6 by open triangles,
18.3 h by filled squares, 24.0 h by open squares, 29.3 h by filled
diamonds, and 33.2 h by open diamonds, when the scattering intensity
began to increase again (with time, as shown by the arrow). The data
for 24 h and beyond overlap each other completely. The data were normalized
and background subtracted based on an extrapolated thickness assuming
a linear rate of D2O loss from measurements at three time
points.
Time-dependent SANS profiles of 2 while drying. The
data have been split into plot (a) showing 0 h represented by filled
circles, 4.2 h by open circles, and 8.3 h by filled triangles, when
the overall scattering intensity was decreasing (with time, as shown
by the arrow) and (b) showing 11.9 h represented by filled circles,
13.6 h by open circles, 15.2 h by filled triangles, 15.6 by open triangles,
18.3 h by filled squares, 24.0 h by open squares, 29.3 h by filled
diamonds, and 33.2 h by open diamonds, when the scattering intensity
began to increase again (with time, as shown by the arrow). The data
for 24 h and beyond overlap each other completely. The data were normalized
and background subtracted based on an extrapolated thickness assuming
a linear rate of D2O loss from measurements at three time
points.There are a few contributing factors
to this changing SANS intensity
and increased incoherent background. As the sample is open to the
air, there could be a small effect of exchange between the D2O in the gel and the H2O (ρ = −0.56 × 10–6 Å–2) in the atmosphere, which would reduce ρ for the water surrounding
the fibers. Any interface between the evaporating water and air could
add to the fractal contribution to the scattering, exhibited by a Q-dependent power law, but as the slope in the lowest Q region below 0.01 Å–1 does not
vary, this is unlikely to be a significant factor. However, the larger
contribution is likely to come from the contrast change caused by
the evaporation of the D2O and the partial replacement
of the solvent with air inside the fiber network, in addition to the
collapse of the network on formation of a thin film. As the ratio
of hydrated and dried parts of the network changes, the average ρ
of the matrix decreases toward that of air. As the chosen gelator, 2, is partially deuterated, the contrast match point where
the SANS intensity is lowest is relatively early in the drying process
(between 8 and 12 h). Another factor that could potentially contribute
to the reduced intensity is the rearrangement of the structures during
drying. However, when the flexible cylinder features return in the
scattering pattern (most clearly after 18 h), their position and shape
are relatively similar to the initial state. This indicates that there
has not been a dramatic change in structure. This assertion is also
supported by a second in situ sample of 2 examined just
for the first 13 h prepared in air contrast matched water (H2O and D2O mixed to ρ = 0 Å–2). The larger incoherent background makes the fiber scattering features
less clearly defined than in the pure D2O sample but as
the background decreases and the scattering intensity at low Q increases, the fiber-matrix contrast increases (Figure S10, Supporting Information). However,
the inflection between 0.01 and 0.1 Å–1 is
approaching the same shape and position as in the D2O data,
indicating that the structure sizes have not changed with the contrast
of the water matrix. This highlights the importance of contrast in
the changes to the overall scattering intensity and confirms that
the solvent contrast change is the main reason for the scattering
intensity changes.Along with the data for the hydrogenous gelators
above, these results
show that the reduction in contrast that arises from either dried
H-gels or D-gels part way through the drying process (when the contrast
match point is found) makes the size of the fibers impossible to determine
under those conditions. As it would be impractical to improve the
dried gel contrast of the H-gel samples by changing the air (e.g.,
drying them in a D2 atmosphere), more contrast needs to
be introduced by modifying the hydrogen/deuterium content of the gelator
itself.
Scattering from Deuterated Xerogels
The partially deuterated
compounds, used to enhance contrast, show much clearer scattering
patterns in their xerogel forms (Figure and Tables S6–8, Supporting Information). Comparisons of how the best fit from
the wet (D2O matrix) gel would look with the background
matrix replaced by air or an air/D2O mix of ρ = 0.5
× 10–6 Å–2 are shown
to illustrate the effects of contrast change on the scattering pattern
(Figure S11, Supporting Information).
Figure 5
Fitted
SANS profiles for the deuterated LMWGs (a) 2, (b) 3, and (c) 5. Open circles represent
the wet gel, open squares the air-dried xerogel, and filled squares
the freeze-dried xerogel. The solid lines depict the model fits to
the data as parametrized in the Supporting Information (Tables S6–8).
Fitted
SANS profiles for the deuterated LMWGs (a) 2, (b) 3, and (c) 5. Open circles represent
the wet gel, open squares the air-dried xerogel, and filled squares
the freeze-dried xerogel. The solid lines depict the model fits to
the data as parametrized in the Supporting Information (Tables S6–8).The gelators that were partially deuterated show similar
flexible
cylinder features to the wet hydrogenous gels. Subtle changes in the
dimensions of the cylinders are to be expected, owing to the slightly
differently defined boundaries to the fibers, arising from the packing
of the molecules within the fibers, and the location of any remaining
water. There will also be some expected shifts in the scattering pattern
owing to the changes in contrast between the systems (Figure S11, Supporting Information). However,
the deuterated versions 2 and 3 show a slight
decrease in radius upon drying compared to a slight increase in the
radius for 1. The very small contribution of the flexible
cylinder features to the xerogel scattering patterns of 1 mean that the data from 2 and 3 seem more
reliable. LMWG 5 appears to retain relatively similar
dimensions on drying. This could not be understood from its hydrogenous
equivalent 4, which suffered from apparent contrast matching
upon drying.We hypothesized that the freeze-drying approach
would provide clearer
scattering patterns owing to a more open network, with the boundaries
between the fibers and the air matrix more clearly defined. Hence,
ρ of the matrix would be much closer to 0 Å–2, despite TGA indicating that some water is either retained or reabsorbed
once processed and stored under atmospheric conditions. In general,
we observed that the freeze-dried xerogels were more likely to retain
features attributable to the fibers in the SANS data. The only exceptions
to that hypothesis were gelators 1 and 4. When the data was fitted in some cases, such as for 6, the fitted radii of the freeze-dried xerogel were the same as for
the wet gels, within the uncertainty of the fitting (Table S4, Supporting Information).Cryogenic freeze-drying
of one sample of LMWG 2 was
also used in order to see whether the vitrification of the water made
a difference to the fiber network as seen by SANS (Figure S12, Supporting Information). The power law contribution
was seen to dominate with the simple power law model providing the
best fit to the data with an exponent of 3.5 ± 0.1. This indicates
that the network has moved from the mass fractal into the surface
fractal regime, which arises from the rough surface scattering from
dense clusters where there is minimal internal contrast.
Comparison
between SANS and Microscopy
As LMWG 5, the deuterated
version of 4, was shown to
retain similar fiber dimensions upon drying when measured using scattering,
SEM and AFM images were collected for xerogels of 4 and 5 (Figures a and S13–16, Supporting Information) and compared to the values obtained from scattering. The diameters, D, of the fibers recorded in the AFM and SEM images are
generally between 6 and 12 times larger than the values obtained from
model fits to the scattering. A comparison of these with SANS parameters
is given in Table for LMWGs 4 and 5. Model fits for both 4 and 5 using fiber radii approximately equivalent
to those observed in the SEM (at 28.5 nm radius, polydispersity of
0.2) are shown in Figure c,d. While the fringe features in these model
fits are smoothed out by a polydispersity in the radius, the shapes
remain different from the experimental data recorded. These model
fits highlight how the xerogel data from 4 is dependent
only on the power law as asserted earlier and therefore the size of
the fibers cannot be deduced from that data. However, for both the
wet gel of 4 and all gels of 5, the fits
are clearly not as good when the larger radius is used. This also
confirms that the SANS technique is capable of measuring features
in this size range, if they were the primary fiber size over the whole
sample area. The difference in fiber radius between the SANS and microscopy
also appears larger than we might expect simply from the different
ways in which the edges of the fibers will be defined by the three
techniques.
Figure 6
(a) SEM
images of the air-dried xerogel of 5, where
the scale bar represents 2 μm. Widths averaged over at least
70 measurements were 57 ± 23 nm. Other images are provided in
the SI (Figures S13–S15). (b) Histogram
of the widths of fibers measured from the SEM images (black) and cryo-TEM
(red) of 5, along with the distribution expected from
a Gaussian distribution (generated from SigmaPlot with a standard
deviation of 0.4) around the mean diameter determined by SANS (blue).
(c) SANS data for 5 with the model fits with radius (R = 28.5 nm), Kuhn length (50 nm), and length (2 μm)
equivalent to the sizes determined from the AFM and SEM images both
with and without the power law exponent in order to highlight the
differences with the best fits to the data. Other parameters were
kept the same as in the best fits. The long dash line is without both
polydispersity and the power law model, the medium dash line is with
the polydispersity of 0.2 and without the power law model, the dotted
line is without the polydispersity but with the power law model (N = 2.5) and the short dash line is with both a polydispersity
of 0.2 and a power law model (N = 2.5). Open circles
represent the wet gel, open squares the air-dried xerogel, and filled
squares the freeze-dried xerogel. The solid red lines depict the model
fits to the data as parametrized in Supporting Information (Tables S8). (d) Example of the cryo-TEM image
for 5, with a scale bar of 200 nm. The white arrow highlights
where two primary fibers seem to wrap around each other. Other images
are shown in Figures S18 and S19, Supporting Information.
Table 1
Comparison of Diameters Measured Using
SANS and Microscopy for 4 and 5a
diameters
measured (in nm) by:
SANS
AFM
SEM
cryo-TEM
wet
air-dried
freeze-dried
4
8.0 ± 0.8
-
-
52 ± 13
57 ± 28
7.6 ± 2.0
5
10.0 ± 1.0
12.0 ± 1.0
9.2 ± 1.0
-
57 ± 23
7.1 ± 3.0
“-”
indicates that
the value was not determined.
“-”
indicates that
the value was not determined.(a) SEM
images of the air-dried xerogel of 5, where
the scale bar represents 2 μm. Widths averaged over at least
70 measurements were 57 ± 23 nm. Other images are provided in
the SI (Figures S13–S15). (b) Histogram
of the widths of fibers measured from the SEM images (black) and cryo-TEM
(red) of 5, along with the distribution expected from
a Gaussian distribution (generated from SigmaPlot with a standard
deviation of 0.4) around the mean diameter determined by SANS (blue).
(c) SANS data for 5 with the model fits with radius (R = 28.5 nm), Kuhn length (50 nm), and length (2 μm)
equivalent to the sizes determined from the AFM and SEM images both
with and without the power law exponent in order to highlight the
differences with the best fits to the data. Other parameters were
kept the same as in the best fits. The long dash line is without both
polydispersity and the power law model, the medium dash line is with
the polydispersity of 0.2 and without the power law model, the dotted
line is without the polydispersity but with the power law model (N = 2.5) and the short dash line is with both a polydispersity
of 0.2 and a power law model (N = 2.5). Open circles
represent the wet gel, open squares the air-dried xerogel, and filled
squares the freeze-dried xerogel. The solid red lines depict the model
fits to the data as parametrized in Supporting Information (Tables S8). (d) Example of the cryo-TEM image
for 5, with a scale bar of 200 nm. The white arrow highlights
where two primary fibers seem to wrap around each other. Other images
are shown in Figures S18 and S19, Supporting Information.Since the SANS data shows that
the scattering before and after
drying is very similar, there remains a discrepancy between the SANS
and microscopy. As mentioned above, there are relatively few comparisons
between small angle scattering data and microscopy for such gels.
In some cases, a close match between the radii measured using both
methods are found. Examples include Pochan and Schneider’s
β-hairpin based LMWG,[31,50] some examples of Stupp’s
peptide amphiphiles,[51,52] and some ionic peptides.[53,54] In other examples, there are significant discrepancies between the
data. These include some of our work,[38,46,49] as well as related work from Thordarson.[39,55] In these cases, the microscopy implies that the radii are significantly
greater than that measured by small angle scattering.Hence,
there are two questions that need answering. First, why
do the data for microscopy and scattering differ for our systems and
not for others? We hypothesize that the apparent differences between
samples can be explained by the degree of charge on the self-assembled
fibers. For the examples where the data from the microscopy and scattering
are in agreement, there is significant charge left on the self-assembled
fibers.[29,53] However, for our LMWG, there is a single
charged group at high pH, which conceptually is removed on pH decrease
and gelation. We have recently shown for our class of LMWG that even
after the pH has been decreased and a gel has formed, there is some
residual charge on the fibers,[56] but significantly
less than the other examples described above. In some cases, further
removal of charge leads to fiber–fiber association and syneresis
of the gel phase.[57,58] We therefore suggest that fiber
aggregation is easier for our relatively uncharged gelators as compared
to other LMWGs. This may also be related to the association with water
that presumably is more prevalent for charged LMWG than for uncharged
LMWG.The second question is why is there a discrepancy between
the sizes
determined by SANS and microscopy for the xerogels? As mentioned above,
model fits to hypothetic fibers with diameters found by microscopy
show that SANS is capable of measuring features in this size range
if they were the primary fiber size over the whole sample area. Work
by Zhang et al. has shown that when peptide amphiphile fibers laterally
aggregate (as shown by microscopy),[30] changes
in the small-angle X-ray scattering are measured; this again implies
that we might expect that SANS would be sensitive to the aggregation.To further probe this, cryo-TEM of gels of 4 and 5 was carried out. From the data, it is clear that the gel
consists of a network of fibers in the vitrified state (Figures d, S18, and S19, Supporting Information). To image the gels using this
technique, it is necessary to dilute the gel. As such, the images
cannot show the true network, but can be used to probe the fibrous
structures that are present. Image analysis was used to determine
the fiber widths, and the diameters were found to be 7.7 ± 2.0
nm for 4 and 7.1 ± 3.0 nm for 5. These
are significantly smaller than the data from the SEM and AFM of the
xerogel and close to the values determined from the SANS fitting.
Hence, it appears that the SANS probes the primary fibers. These clearly
aggregate to some degree even when in the vitrified gel phase, as
shown by the cryo-TEM data (an example where two fibers are aggregating
is highlighted in Figure d), but the aggregation is even more pronounced on drying.
The aggregation is not observed in the SANS data either in the gel
or xerogel state. What is clear is that the AFM and SEM data do not
represent the fiber network in the gel state, as shown by the significant
discrepancy between data from the cryo-TEM and SEM.
Conclusions
We have shown here the first in situ drying study for LMWGs. To
maximize scattering intensity, deuteration of the LMWG is beneficial.
Deuteration allows for sufficient scattering intensity to follow the
drying in situ, and to probe the xerogels. Our data show that the
method of drying is very important; comparison of the data before
and after drying shows that in a number of cases there are significant
differences in the scattering.Our data show that SANS is capable
of probing the primary fibers
for these gels, but is insensitive to lateral association of the fibers,
either in the wet gel phase or on drying. The cryo-TEM data shows
the presence of fibers with radii which are consistent with the SANS
data, as well as aggregates; essentially, the AFM and SEM only show
large aggregates.Hence, our data show that for such LMWGs,
the SANS data is extremely
useful and represents the primary fiber network. However, for those
LWMGs where the fibers are hydrophobic and not heavily charged, microscopy
on dried gels does not represent the network, but rather aggregation
of the fibers. It is not possible to observe the primary fibers by
AFM and SEM, although SANS can still determine that these larger structures
are formed from thinner fibers. Microscopy on the dried gels is extremely
common, but our data suggests that the images should therefore be
treated with caution.
Authors: Rohan A Hule; Radhika P Nagarkar; Aysegul Altunbas; Hassna R Ramay; Monica C Branco; Joel P Schneider; Darrin J Pochan Journal: Faraday Discuss Date: 2008 Impact factor: 4.008
Authors: Ronak V Rughani; Daphne A Salick; Matthew S Lamm; Tuna Yucel; Darrin J Pochan; Joel P Schneider Journal: Biomacromolecules Date: 2009-05-11 Impact factor: 6.988
Authors: Ricardo M P da Silva; Daan van der Zwaag; Lorenzo Albertazzi; Sungsoo S Lee; E W Meijer; Samuel I Stupp Journal: Nat Commun Date: 2016-05-19 Impact factor: 14.919
Authors: Santanu Panja; Ana M Fuentes-Caparrós; Emily R Cross; Leide Cavalcanti; Dave J Adams Journal: Chem Mater Date: 2020-05-22 Impact factor: 9.811
Authors: Maria G F Angelerou; Pim W J M Frederix; Matthew Wallace; Bin Yang; Alison Rodger; Dave J Adams; Maria Marlow; Mischa Zelzer Journal: Langmuir Date: 2018-05-29 Impact factor: 3.882
Authors: Kate McAulay; Bart Dietrich; Hao Su; Michael T Scott; Sarah Rogers; Youssra K Al-Hilaly; Honggang Cui; Louise C Serpell; Annela M Seddon; Emily R Draper; Dave J Adams Journal: Chem Sci Date: 2019-07-03 Impact factor: 9.825