Babatunde O Okesola1,2, Yuanhao Wu1,2, Burak Derkus1,2,3, Samar Gani4, Dongsheng Wu2, Dafna Knani4, David K Smith5, Dave J Adams6, Alvaro Mata1,2. 1. Institute of Bioengineering, Queen Mary University of London, London E1 4NS, U.K. 2. School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, U.K. 3. Biomedical Engineering Department, Faculty of Engineering, Eskisehir Osmangazi University, 26040 Eskisehir, Turkey. 4. Department of Biotechnology Engineering, ORT Braude College, P.O. Box 78, Karmiel 2161002, Israel. 5. Department of Chemistry, University of York, Heslington, York YO10 5DD, U.K. 6. School of Chemistry, University of Glasgow, Glasgow G12 8QQ, U.K.
Abstract
Self-assembled nanofibers are ubiquitous in nature and serve as inspiration for the design of supramolecular hydrogels. A multicomponent approach offers the possibility of enhancing the tunability and functionality of this class of materials. We report on the synergistic multicomponent self-assembly involving a peptide amphiphile (PA) and a 1,3:2,4-dibenzylidene-d-sorbitol (DBS) gelator to generate hydrogels with tunable nanoscale morphology, improved stiffness, enhanced self-healing, and stability to enzymatic degradation. Using induced circular dichroism of Thioflavin T (ThT), electron microscopy, small-angle neutron scattering, and molecular dynamics approaches, we confirm that the PA undergoes self-sorting, while the DBS gelator acts as an additive modifier for the PA nanofibers. The supramolecular interactions between the PA and DBS gelators result in improved bulk properties and cytocompatibility of the two-component hydrogels as compared to those of the single-component systems. The tunable mechanical properties, self-healing ability, resistance to proteolysis, and biocompatibility of the hydrogels suggest future opportunities for the hydrogels as scaffolds for tissue engineering and drug delivery vehicles.
Self-assembled nanofibers are ubiquitous in nature and serve as inspiration for the design of supramolecular hydrogels. A multicomponent approach offers the possibility of enhancing the tunability and functionality of this class of materials. We report on the synergistic multicomponent self-assembly involving a peptide amphiphile (PA) and a 1,3:2,4-dibenzylidene-d-sorbitol (DBS) gelator to generate hydrogels with tunable nanoscale morphology, improved stiffness, enhanced self-healing, and stability to enzymatic degradation. Using induced circular dichroism of Thioflavin T (ThT), electron microscopy, small-angle neutron scattering, and molecular dynamics approaches, we confirm that the PA undergoes self-sorting, while the DBS gelator acts as an additive modifier for the PA nanofibers. The supramolecular interactions between the PA and DBS gelators result in improved bulk properties and cytocompatibility of the two-component hydrogels as compared to those of the single-component systems. The tunable mechanical properties, self-healing ability, resistance to proteolysis, and biocompatibility of the hydrogels suggest future opportunities for the hydrogels as scaffolds for tissue engineering and drug delivery vehicles.
Multicomponent supramolecular
self-assembly is ubiquitous in natural
processes leading to the formation of highly ordered and complex architectures.[1] The functionality of many biomacromolecules such
as cytoskeleton actin and actin-binding proteins found in living organisms
depends on the coassembly of multiple building blocks into one-dimensional
nanostructures.[2] These supramolecular assemblies
result from cooperative and synergistic noncovalent interactions,
which provide adaptive, dynamic, and responsive properties.Multicomponent self-assembly is currently the focus of fundamental
research aimed at dissecting the code embedded within natural supramolecular
architectures[3−5] to engineer innovative materials based on predictive
molecular interactions.[6−8] Such design strategies have been developed using
well-defined molecular building blocks including β-sheet fibrillizing
peptides, peptide amphiphiles (PAs), engineered polypeptides, and
low-molecular-weight species.[8−10] However, many of these artificial
nanostructures are homotypic, consisting of one class of building
block and thereby limiting the level of structural and functional
complexities, diversities, and tunabilities. In contrast, multicomponent
self-assembly offers the possibility to generate a wider range of
more complex structures, enhance modularity, and provide spatiotemporal
control of self-assembly.[2,11] This approach has been
used to harness synergistic properties as a result of using two different
interacting molecular building blocks such as peptide–peptide,[12−14] protein–peptide,[15−17] PA–polysaccharide,[18] protein–protein,[19,20] and protein/peptide–DNA.[21] The
structures and properties emerging from these systems are opening
new opportunities for the rational design of more complex and functional
materials.[6]Multicomponent self-assembly
is a versatile strategy to design
supramolecular hydrogels with molecular complexity, enhanced interfacial
areas between nanofibers, tunable mechanical properties, in situ creation
of new materials, and diverse morphology.[22] These properties make such hydrogels suitable for a wide range of
applications in drug delivery,[23] tissue
engineering,[24] nanoreactor design, and
optoelectronic materials.[25] Specifically,
multicomponent gels can have advantages compared to individual component
systems. For example, multicomponent gels can exhibit optoelectronic
properties that cannot be accessed using the single-building blocks.[26] There are also examples where cellular behaviors
can be improved using multicomponent hydrogels.[27,28] It is also possible to prepare systems with unusual behavior such
as delayed gelation[3] or two-stage rheological
control.[29,30] Moreover, multicomponent self-assembly breaks
the molecular homogeneity imposed by traditional single-building block
hydrogels.PAs represent a fascinating class of self-assembling
building blocks
for designing bioactive hydrogels.[31−34] These amphiphilic molecules consist
of at least one lipid chain attached to a peptide backbone and are
able to self-assemble into high-aspect-ratio cylindrical nanofibers
defined by the hydrophobic collapse of the alkyl region and electrostatic
interactions between the charged head groups.[35] PAs have been used in supramolecular coassembling systems with oppositely
charged and structurally distinct molecules to develop sac-like structures,[18] dynamic tubular materials,[16] and hydrogels.[17] However, the
combination of PAs and other gelators with distinct molecular structures
exhibiting similar charge has not been explored. Therefore, supramolecular
self-assembly of a well-known PA molecule with another molecule with
a well-characterized self-assembly mechanism is of considerable interest
in designing a new breed of multicomponent hydrogels.1,3(R):2,4(S)-dibenzylidene-d-sorbitol
(DBS) is a well-known sugar-based low-molecular-weight
gelator (LMWG) with a high capacity to self-assemble into fibrillar
networks in organic solvents and water.[36] The effectiveness of DBS as a gelator is due to intermolecular hydrogen
bond interactions between the sugar units combined with π–π
stacking and solvophobic interactions between the aromatic rings,
which characterize its ‘butterfly-like’’ wing
structure.[37] In the past century, DBS has
been widely used in industrial applications as a cosmetic additive,
in dental composites, and as a polymer nucleation/clarification agent.[37] Recently, Smith and colleagues reported the
development of DBS derivatives including DBS-COOH[38] and DBS-CONHNH2[39] that are capable of self-assembly in water into self-supported hydrogels
by pH-switching and heat–cool transitions, respectively. Using
molecular dynamics (MD) simulations, Knani and Alperstein determined
that the carboxylic acid and acylhydrazone groups on these molecules
play an important role in modifying both their solubility and capacity
to self-assemble into fibrillar networks in aqueous systems.[40] Hydrogels based on DBS-COOH and DBS-CONHNH2 have potential applications in environmental cleanup,[39,41] drug encapsulation and delivery,[42] electrocatalysis,[43] cell culture,[44] and
as nanoreactors.[45] Furthermore, these gelators
have been hybridized with polymers to produce robust[38,46] and multidomain,[30,47] hydrogels, and more recently,
DBS-COOH/DBS-CONHNH2 coassembled hydrogels[48] but their combination with LMWGs of other types to design
multicomponent hydrogels has not been investigated.The combination
of LMWGs from different classes remains relatively
rare and offers considerable potential for the emergence of new functions,
which can be exploited to develop materials with innovative properties.
In this study, we report on the supramolecular design of multicomponent
hydrogels based on a well-known PA molecule and DBS-COOH using a slow
acidification protocol to fabricate hydrogels with emergent properties.
The resulting hydrogels exhibit tunable stiffness, self-healing capacity,
enhanced stability to enzymatic degradation, and tunable bioactivity.
To the best of our knowledge, this is the first example of these two
LMWGs being combined.
Materials and Methods
Preparation
of Hydrogels
Both PA-E3(32) and DBS-COOH(38) were synthesized
as previously reported. For single-component
hydrogels, PA-E3 and DBS-COOH solutions
(10 mM) were individually prepared in phosphate buffer saline (pH
7.4, 200 μL), and aliquots of NaOH (aq) (0.5 M, 10 μL)
were added to dissolve the gelators (pH = 9). The solutions were then
transferred to vials containing glucono-δ-lactone (GdL) (4 mg),
followed by a thorough shaking to dissolve the GdL granules. The vials
were left overnight for gelation to occur. The multicomponent hydrogels
were prepared by mixing aliquot solutions of PA-E3 and DBS-COOH at various molar ratios expressed as percentages
(100/0, 80/20, 50/50, 20/80, and 0/100) such that the final total
concentration of the mixtures was 10 mM in each case. The solutions
were then transferred to vials containing GdL, shaken, and left overnight
for gelation to occur.
Thioflavin T (ThT) Fluorescence Assay
Aliquots of solutions
(0.4 mM, 20 μL) of PA-E3, DBS-COOH, and PA-E3/DBS-COOH mixtures were added to GdL (0.2
mg). Aliquots of ThT (0.4 mM, 20 μL) were then added to the
gelator solutions. Each sample was mixed by pipetting up and down
three times, loaded into a 20 μL sample flow cell, sealed with
paraffin wax, and immediately transferred onto an inverted laser scanning
confocal microscope (LSCM) (Leica laser scanning confocal TCSSP2)
with a 63-oil immersion objective, using excitation and emission wavelengths
of 458 and 468 nm, respectively. Images of the self-assembled nanofibers
were acquired after incubating the sols for 6 h. The flow cells were
kept humid in Petri dishes to prevent evaporation. The hydrogels prepared
using an identical protocol but without the ThT were used as control
and did not exhibit any fluorescent signal.
Circular Dichroism (CD)
Measurement for ThT Interactions
Circular dichroism (CD)
was measured with a Chirascan circular dichroism
spectrometer (Applied Photophysic Limited, U.K.) using a quartz cell
with a 1 mm path length and the following parameters: data pitch,
0.5 nm; scanning mode, continuous; scanning speed, 100 nm/min; bandwidth,
2 nm; and accumulation, 5. All CD data are presented as ellipticity
and recorded in millidegree (mdeg). Samples for CD measurements were
prepared by adding GdL (0.4 mg/mL) to PA-E3, DBS-COOH, and equimolar PA-E3/DBS-COOH solutions (200 μM).
Then, an aliquot of ThT (200 μM) was added to the gelator solutions,
and the mixture was loaded into a quartz cell. CD spectra were obtained
at a 2 min interval from 190 to 500 nm at a speed of 50 nm/min.
Transmission Electron Microscopy (TEM) Characterization
Solutions (1 mM, 40 μL) of PA-E3, DBS-COOH, and PA-E3/DBS-COOH mixtures were added to GdL (0.2
mg), shaken thoroughly, and incubated for 10 h. Samples were then
mounted on holey carbon-coated copper grids that were preplasma-treated
(Agar Scientific, Stansted, U.K.). The grids were immersed in ultrapure
water for 30 s to remove excess and unadsorbed samples. The grids
were then immersed in a solution of uranyl acetate (2%) for 30 s,
and excess uranyl acetate solution was removed using filter paper.
Grids were allowed to dry in a desiccator for 24 h at room temperature.
Images were acquired on a JEOL 1230 transmission electron microscope
fitted with a Morada CCD camera and operated at an acceleration voltage
of 80 kV.
Atomic Force Microscopy (AFM) Characterization
Solutions
of PA-E3 (1 mM, 40 μL, pH 11), DBS-COOH (1 mM, 40 μL, pH 11), and PA-E3/DBS-COOH mixtures
were mixed with GdL (0.4 mg), and the mixtures were dropped onto freshly
cleaved mica surface so that they self-assemble on the substrate.
The samples were air-dried at room temperature for 24 h. AFM characterization
of nanofibers was performed on an Asylum Research MFP-3D atomic force
microscope (Santa Barbara, CA) without treatment. Ultrasharp silicon
nitride tips (NSC15 noncontact silicon cantilevers, MikroMasch, Spain)
were used. Typical scan settings involved the use of an applied piezo
deflection voltage of 0.6–0.7 V at a scan rate of 0.7 Hz. All
images were processed using Igor Pro software.
The required concentration (10 mM)
of PA-E3 and DBS-COOH and various mixtures
of PA-E3 and DBS-COOH were prepared in D2O (400 μL). The
suspensions were dissolved by adding aliquots of NaOD (0.5 M, 10 μL),
and the solutions were mixed with GdL (5 mg). After a thorough shaking
until GdL granules fully dissolved, the mixtures were transferred
into 1 mm path length UV spectrophotometer grade quartz cuvettes (Hellma).
Gelation of the solutions was allowed to proceed overnight. Small-angle
neutron scattering (SANS) measurements were performed on the fixed-geometry,
time-of-flight LOQ diffractometer (ISIS Neutron and Muon Source, Oxfordshire,
U.K.). A white beam of radiation with neutron wavelengths spanning
2.2–10 Å was enabled access to Q [Q = 4π sin(θ/2)/λ] range of 0.004–0.4
Å–1 with a fixed-sample detector distance of
4.1 m. The cuvettes were mounted in aluminum holders. The time taken
for each measurement was approximately 30 min. All scattering data
were normalized for the sample transmission, the background was corrected
using a quartz cell filled with D2O, and the linearity
and efficiency of the detector response were corrected using the instrument-specific
software. Data were fitted using the appropriate models between 0.00485⟨Q⟩0.49132 Å–1 for consistency.
The scattering length density (SLD) for D2O was set to
6.3 × 10–6 Å–2; SLD
for scattering structures was set to 2.197 × 10–6 Å–2 for DBS-COOH only and 1.31
× 10–6 Å–2 for PA-E3 only. SLDs for mixtures of PA-E3 and DBS-COOH were based on compositional average—these
values estimated using the NIST calculator with a (assumed) density
of 1.3. Data for the PA-E3 hydrogel fit flexible elliptical
cylinder model, while a power law was used to fit the data for DBS-COOH hydrogels, which suggests that the structures are
large and outside the effective range of the SANS. For the PA-E3/DBS-COOH admixtures, a combination of the flexible elliptical cylinder model
with a power law was used to fully fit the data. Details of the parameters
for all of the fittings are presented in Table S1.
Rheological Kinetics
Rheological
measurements were
performed using a Discovery Hybrid Rheometer, Rheo-DHR3 (TA Instruments).
All data were collected at 25 °C. For each sample, immediately
following the addition of GdL (4 mg/mL) to solutions of the gelators
(10 mM, pH 9), 100 μL of the mixture was added to the center
of the bottom plate, and the upper geometry (parallel top plate with
a 20 mm diameter) was lowered to a gap of 50 μm. A time sweep
was performed where the storage and loss moduli were monitored for
3 h at a constant frequency of 1 Hz and a 0.5% strain at 25 °C.
Light mineral oil was applied to the perimeter of the parallel plate
to prevent evaporation of water over the course of the experiment.
Characterization of Nanofiber Growth by TEM
Solutions
(0.5 mM, 100 μL) of PA-E3, DBS-COOH, and PA-E3/DBS-COOH mixtures were added to GdL (0.2
mg/mL) and shaken thoroughly. An aliquot (50 μL) of each sample
was added onto a flat sheet of parafilm. Holey carbon-coated copper
grids (Agar Scientific, Stansted, U.K.) that were preplasma-treated
were carefully placed on top of each drop. The samples were kept in
a temperature and humidity chamber to prevent evaporation. The grids
were taken off at various time intervals, excess solution was removed
using filter paper, and the grids were then immersed in a solution
of uranyl acetate (2%) for 30 s and excess uranyl acetate solution
removed using filter paper. Grids were allowed to dry in a desiccator
for 24 h at room temperature. Images were acquired on a JEOL 1230
transmission electron microscope fitted with a Morada CCD camera and
operated at an acceleration voltage of 80 kV.
Molecular Dynamics Simulations
The simulation was conducted
using Material Studio 8.0 software (by Biovia). The dynamic atomistic
simulation was performed according to the following steps:
Step 1: Building
Cubic Cells
Five simulation cubic
boxes (about 20 Å edge) were constructed using amorphous cell
module for each of the following: DBS-COOH, PA-E3, and their mixtures at various ratios: 1:5, 1:1, and 5:1 (DBS-COOH/PA-E3).
Step 2: Molecular Dynamics
Simulation
Dynamics simulation
was performed at 300 K. The cells were subjected to 100 000
dynamic steps of 1 fs each at constant mole number, pressure, and
temperature (NPT ensemble) to determine their density. This stage
was followed by a constant mole number, volume, and temperature (NVT
ensemble) refinement stage of 100 000 dynamic steps and a data
collection stage of additional 400 000 NVT steps. All MD simulations
were conducted using Forcite module with COMPASS II force field. The
electrostatic term was considered using Ewald and the van der Waals
term using atom-based summation methods with an accuracy of 10–3 kcal/mol. The repulsive cutoff for van der Waals
term was chosen as 12.5 Å. For NPT molecular dynamics simulations,
Nose thermostat and Berendsen barostat were chosen.
Step 3: Analysis
The resulting dynamic trajectories
were analyzed using Forcite module analysis tools. The following properties
were calculated:
Cohesive Energy Density (CED) and Solubility
Parameter
Cohesive energy is the energy required to break
the interactions
between molecules. Generally, it is measured as the heat of vaporization
of a liquid. The cohesive energy density (CED) corresponds to the
cohesive energy per unit volume. The solubility parameter is the square
root of the CED and is a measure of the ability of materials to dissolve
each other.
Enthalpy of Mixing
CED values can
be used to calculate
the enthalpy of mixing (per unit volume) using the following equationwhere Ecoh is
the CED of constituents a, b, or the blend
(ab); and Φa and Φb are the volume fractions of the two components in the blended system.The enthalpy of mixing is the released or taken-up heat upon mixing
of two substances. Generally, a negative Gibbs free energy of mixing
is a necessary condition for substances to form a miscible phase.
The entropy change during mixing may be negligible when polymers are
involved, and miscibility can be determined from the enthalpy change
of mixing instead of Gibbs free energy. An exothermic enthalpy of
mixing is indicative of a miscible blend.
Radial Distribution Function
(RDF)
Radial distribution
function (also referred to as pair correlation function) gives a measure
of the probability that, given the presence of an atom at the origin
of an arbitrary reference frame, there will be an atom with its center
located in a spherical shell of infinitesimal thickness at a distance r from the reference atom. RDF may serve as a tool to estimate
intermolecular interactions like hydrogen bonding.
Amplitude
Sweeps, Critical Strain, and Self-Recovery of Hydrogels
A
parallel plate geometry (parallel top plate with an 8 mm diameter)
was used with a 150 μm gap distance to perform frequency and
amplitude sweeps. PA-E3 (10 mM), DBS-COOH (10 mM), and various stoichiometric mixtures of PA-E3/DBS-COOH hydrogels were prepared by adding GdL (10 mg/mL) to the gelator
solutions. The hydrogels were left to form overnight before the measurements.
Frequency scans were performed from 1 to 10 Hz under a strain of 0.5%.
At this strain, the frequency sweeps were performed within the linear
viscoelastic region, where the storage modulus (G′) and loss modulus (G″) are independent
of the strain amplitude. Critical strain values were determined from
the point where G′ values start to decrease
with strain. The recovery properties of the hydrogels in response
to applied shear forces were investigated using the following procedure:
0.1% (100 s), 100% (200 s), 0.1% (200 s), 100% (200 s), (400 s) with
the applied shear force, expressed in terms of strain (%) and duration
(s) in parentheses. For the strain recovery, 10 mM of PA-E3 was mixed with 10 mM of DBS-COOH to prepare PA-E3/DBS-COOH hydrogels.
Proteolytic Stability of
the Hydrogels
Hydrogels of PA-E3 (10 mM), DBS-COOH (10 mM), and PA-E3 (5 mM)/DBS-COOH (5 mM) were prepared as previously
described above. The hydrogels were immersed in phosphate-buffered
saline (PBS) for 1 h and then incubated at 37 °C for 5 days in
proteinase K solutions (5 mg/mL in PBS). Hydrogels were then prepared
for scanning electron microscopy (SEM) by freeze-drying. SEM micrographs
of the xerogels were acquired on Inspect F50 (FEI Comp, the Netherlands)
after sputter-coating with gold (10 nm thick). Also, mass spectra
of the mixtures of 0.1 mM PA-E3/proteinase K (5 mg/mL)
and PA-E3/DBS-COOH/proteinase K (5 mg/mL) were acquired
on liquid chromatography–mass spectrometer, comprising a 1100
Series LC and SL Ion Trap MSD (Agilent Technologies, U.K.). Weight
loss measurements were performed by incubating each hydrogel in 500
mL of proteinase K solution (5 mg/mL) or phosphate buffer saline (PBS
1×) at 37 °C at various time intervals. The solutions with
or without the enzyme were replaced with the freshly prepared solutions
after each weight measurement. Then, the weights of hydrogels were
recorded to determine the weight loss compared to the initial weights
of the hydrogel. We computed the weight loss using equation (Wf – Wi)/Wi × 100, where Wi and Wf represent initial and final hydrogel
weights, respectively.
Cellular Behaviors on PA-E3, DBS-COOH, and PA-E3/DBS-COOH Hydrogels
PA-E3, DBS-COOH, and PA-E3/DBS-COOH hydrogels
were prepared as previously discussed above. The hydrogels were cross-linked
with CaCl2 (50 mM) and washed with PBS until the hydrogels
became neutral to pH strips (pH 7). Human-adipose-derived stem cells
(hADSCs, 5000 cells/mL) were cultured on the hydrogels and incubated
for 4 days at 37 °C and 5% CO2. Using a live/dead
assay kit (Life Technologies, U.K.), we investigated biocompatibility
of the hydrogels. The assay was performed by incubating the hydrogels
with calcein AM (10 mM) and ethidium homodimer-1 (1 mM) for 30 min.
Imaging was performed on an inverted confocal laser scanning microscope
(CLSM, Leica, Germany).
Results and Discussion
Self-Assembly and Formation
of Hydrogels
The PA used
in this study is the negatively charged peptide CH3-(CH2)14-CONH-VVVAAAEEE-CONH2 (PA-E3), palmitoylated at the N-terminus (Figure a). This PA is known to assemble into micrometer-long
nanofibers by calcium ion coordination.[31,49] Conversely, DBS-COOH (Figure a) has been shown to assemble into nanofibers that are microns
in length as a result of pH-switching.38 Aqueous solutions
(10 mM) of gelator DBS-COOH and gelator PA-E3 were prepared, and the aliquots of each were mixed to provide a
series of solutions with various stoichiometric ratios of PA-E3 to DBS-COOH (100/0, 80/20, 50/50, 20/80, and 0/100%)
such that a constant total concentration (10 mM) was maintained in
all mixtures. Stable hydrogels were formed by slow acidification of
the basic solutions by adding GdL (10 mg/mL). GdL undergoes base-catalyzed
hydrolysis to gluconic acid as previously described. The slow hydrolysis
allows significantly more controlled and homogeneous gels to be formed
as compared to the use of mineral acids.[50] Consequently, the gradual decrease in pH below the pKa of the terminal carboxylic acid (pKa ∼4–5) of DBS-COOH and PA-E3(30,51) allows the slow protonation of
the carboxylate groups (Figure b). This protonation directs the gradual self-assembly of
both PA-E3 and DBS-COOH over a period of
4 h, leading to the kinetically controlled formation of homogeneous
self-supported hydrogels (Figure c).
Figure 1
Molecular information and sol-gel phase transition. (a)
Molecular
structure of PA-E3 and conformational perspective of
the molecular structure of DBS-COOH (the numbering indicates
alcohol groups on the sugar backbone). (b) Schematic representation
of supramolecular self-sorting of PA-E3 and DBS-COOH by pH-switching. (c) Photographs of hydrogels of PA-E3, DBS-COOH, and PA-E3/DBS-COOH mixtures.
Laser scanning confocal micrographs of nanofibers of (d) PA-E3, (e) PA-E3/DBS-COOH (4:1), (f) PA-E3/DBS-COOH (1:1), (g) PA-E3/DBS-COOH (1:4), and (h) DBS-COOH. Induced circular dichroism spectra of ThT during the self-assembly
of (i) PA-E3, (j) DBS-COOH, and (k) PA-E3/DBS-COOH (1:1). Arrows indicate increasing CD intensity
as a function of gelator self-assembly. Data acquired at 2 min interval.
Molecular information and sol-gel phase transition. (a)
Molecular
structure of PA-E3 and conformational perspective of
the molecular structure of DBS-COOH (the numbering indicates
alcohol groups on the sugar backbone). (b) Schematic representation
of supramolecular self-sorting of PA-E3 and DBS-COOH by pH-switching. (c) Photographs of hydrogels of PA-E3, DBS-COOH, and PA-E3/DBS-COOH mixtures.
Laser scanning confocal micrographs of nanofibers of (d) PA-E3, (e) PA-E3/DBS-COOH (4:1), (f) PA-E3/DBS-COOH (1:1), (g) PA-E3/DBS-COOH (1:4), and (h) DBS-COOH. Induced circular dichroism spectra of ThT during the self-assembly
of (i) PA-E3, (j) DBS-COOH, and (k) PA-E3/DBS-COOH (1:1). Arrows indicate increasing CD intensity
as a function of gelator self-assembly. Data acquired at 2 min interval.
Characterization of Assembly
Hydrogels
were formed
for all tested materials including PA-E3, DBS-COOH, and their combinations. The hydrogels of PA-E3 alone
were optically transparent, while those of DBS-COOH were
translucent. Moreover, there was an increasing degree of translucency
with an increasing concentration of DBS-COOH in the two-component
hydrogels, suggesting an increasing DBS-COOH nanofiber
density in the materials. At the nanoscale, fluorescent microscopy
using ThT was used to further confirm the self-assembly of PA-E3, DBS-COOH, and their mixtures. As revealed by LSCM,
nanofibers of individually assembled PA-E3 (200 μM)
and DBS-COOH (200 μM) containing an equimolar concentration
of ThT (200 μM) fluoresced when excited at 488 nm (Figure d,h). Similarly,
the nanofibers of PA-E3/DBS-COOH mixtures (200 μM)
also exhibited strong fluorescence (Figure e–g) when excited at the same wavelength,
which results from the integration of ThT within the hydrogel nanostructures.
However, the fluorescence is more intense on DBS-COOH (Figure h) and PA-E3/DBS-COOH (Figure e–g) nanofibers than on the PA-E3 nanofibers (Figure d). We observed no fluorescence from the DBS gelator
solution itself (Supporting Information Figure S2). It is well established that ThT is a molecular rotor and
its fluorescence is viscosity-dependent.[52,53] No fluorescence was observed pre-gelation, as the ThT is not incorporated
into viscous environments. However, upon gelation, hydrophobic rigid
fibers are formed and, incorporation of ThT into these, results in
an increase in fluorescence.[52] Therefore,
our systems support the idea that the reason for the characteristic
increase in the ThT fluorescence intensity following its incorporation
into the DBS-COOH and the two-component (PA-E3/DBS-COOH) nanofibers than that into the PA-E3 alone nanofibers
is due to the rigidity of the nanofibers, which prevents the rotation
of the benzothiazole ring relative to the aminobenzene ring in the
excited state.[53] Previous studies have
demonstrated that molecular gelator nanofibers are able to sequester
cationic dyes such as methylene blue (MB) from an aqueous system.[41] We have also demonstrated this with DBS-COOH using MB (data not shown). Therefore, we reasoned that DBS-COOH nanofibers sequester the cationic ThT dye in a similar fashion,
which can also explain the observed increased fluorescence intensity.We also confirmed by circular dichroism (CD) spectroscopy that
the achiral ThT molecule acquired a chiral signature following its
interaction with the self-assembled PA-E3, DBS-COOH,
and PA-E3/DBS-COOH nanofibers in a differential and time-dependent
manner (Supporting Information Figure S3). Such chirality transfer is believed to result from a ‘sergeants-and-soldiers’’
type of interaction[54] between ThT and the
self-assembled nanofibers. Upon incorporation into the PA-E3 nanofibers during self-assembly, ThT exhibited a negative band at
385 nm, which disappeared within 30 min of self-assembly, while another
negative band emerged at 470 nm as the self-assembly progressed (Figure i and Supporting
Information Figure S3a). On the other hand,
ThT exhibited a bisignate Compton effect with positive and negative
bands at 370 and 385 nm, respectively (Figure j and Supporting Information Figure S3b). Interestingly, the CD spectrum of
ThT upon incorporation into the PA-E3/DBS-COOH nanofibers
combines the distinct chiral signatures of both PA-E3 and DBS-COOH, as well as the emergence of a new band
at 450 nm (Figure k and Supporting Information Figure S3c). This result suggests that ThT is able to discriminate between
different chiral environments in the multicomponent hydrogels. Also,
with this approach, we could infer that the two building blocks constituting
our multicomponent hydrogels exhibited self-sorting self-assembly.
Characterization of Nanostructures
Transmission electron
microscopy (TEM) revealed that the PA-E3 solution (0.1
mM, pH 10) on its own has preformed micellar structures that are ∼200
nm long. Such pre-gelation assembly of PAs into cylindrical micellar
nanostructures has been previously reported to take place as a result
of the hydrophobic collapse of the alkyl moieties in an aqueous environment.[55−57] On the other hand, while such structures were not observed in the
solution of pure DBS-COOH (Supporting Information Figure S4), they were observed in the equimolar
mixture of PA-E3 and DBS-COOH. Upon gelation
triggered by GdL hydrolysis, the PA-E3 solution further
assembled into typical PA nanofibers that are microns in length and
∼7 nm in diameter (Figure ai, top panel), while the nanofibers of DBS-COOH (0.1 mM) on its own self-assembled into bundles of ribbons that
are several microns in length and ∼80 nm in width as previously
reported[46] (Figure av). Atomic force microscopy (AFM) was used
to confirm these structures (Figure bi,bv, middle panel). Interestingly, nanofibers of
the PA-E3/DBS-COOH hydrogels (0.1 mM) appeared to have
different geometries compared to those of the single-component hydrogel
systems and be more entangled (Figure aii–iv, top panel). Furthermore, the density
of this nanofiber network seemed to increase with increasing DBS-COOH concentration. Such entanglement is possibly due
to the formation of interconnected self-sorting networks.[58] The nanofiber-bundling phenomenon is more pronounced
with the PA-E3/DBS-COOH hydrogels than in the hydrogels
of DBS-COOH alone (Figure bii–iv, middle panel). It is important to mention
that the difference in the appearance of the nanofiber images acquired
with the two techniques (TEM and AFM) is probably due to different
sample preparation procedures. In the case of AFM, the solutions were
allowed to self-assemble on the substrates, while with TEM, images
were acquired on preformed partial hydrogels.
Figure 2
Nanostructure characterization.
Nanostructures of nanofibers of
(i) PA-E3, (ii) PA-E3/DBS-COOH (4:1), (iii) PA-E3/DBS-COOH (1:1), (iv) PA-E3/DBS-COOH (1:4),
and (v) DBS-COOH at a 0.1 mM gelator concentration revealed
by (a) TEM and (b) AFM. (c) SANS data for gels of (i) PA-E3, (ii) PA-E3/DBS-COOH (4:1), (iii) PA-E3/DBS-COOH (1:1), (iv) PA-E3/DBS-COOH (1:4), and (v) DBS-COOH at a 1 mM gelator concentration. In all cases, the fits to the data
are shown as the red line through the open symbols.
Nanostructure characterization.
Nanostructures of nanofibers of
(i) PA-E3, (ii) PA-E3/DBS-COOH (4:1), (iii) PA-E3/DBS-COOH (1:1), (iv) PA-E3/DBS-COOH (1:4),
and (v) DBS-COOH at a 0.1 mM gelator concentration revealed
by (a) TEM and (b) AFM. (c) SANS data for gels of (i) PA-E3, (ii) PA-E3/DBS-COOH (4:1), (iii) PA-E3/DBS-COOH (1:1), (iv) PA-E3/DBS-COOH (1:4), and (v) DBS-COOH at a 1 mM gelator concentration. In all cases, the fits to the data
are shown as the red line through the open symbols.To further characterize the internal structuring of the hydrogels
without drying and staining effects that accompany imaging techniques,
synchrotron small-angle neutron scattering (SANS) measurements were
performed on the hydrogels. SANS data for the hydrogels of PA-E3 (10 mM) fitted best to a flexible elliptical cylinder model after
the initial fixing of the background and setting the length to 2000
Å (an arbitrary value greater than the resolution of the technique)
(Figure k, lower panel).
Other parameters to fit the data for PA-E3 include a
radius of 26.9 ± 0.1 Å, an axis ratio of 1.64 ± 0.02,
and a Kuhn length of 134.0 ± 2.0 Å. On the other hand, data
for the hydrogels of DBS-COOH fitted to a power law only
with a power-law exponent of 2.72 ± 0.01, which implies that
the structures are relatively large and outside the effective range
of the SANS (Figure o). To fully fit the SANS data for the two-component hydrogels (10
mM), we needed to combine the flexible elliptical cylinder model with
a power law (Figure l–n), as previously demonstrated.[59] With this approach, we obtained a radius of 27.5 ± 0.3 Å,
an axis ratio of 1.53 ± 0.03 Å, and a Kuhn length of 111.6
± 2.1 Å for the 4:1 molar ratio PA-E3/DBS-COOH hydrogel; a radius of 28.4 ± 0.7 Å, an
axis ratio of 1.36 ± 0.06, and a Kuhn length of 96.3 ± 3.2
Å for the 1:1 molar ratio PA-E3/DBS-COOH hydrogel; and a radius of 27.9 ± 1.1 Å, an axis ratio
of 1.52 ± 0.10, and a Kuhn length of 114.4 ± 9.21 Å
for the 1:4 molar ratio PA-E3/DBS-COOH hydrogel.
These results indicate that the nanoscale flexible elliptical cylinders
are similar across the data set in terms of radius, axis ratio, and
Kuhn length. The small differences in the fitted parameters can be
attributed to the minimal perturbation effect of DBS-COOH on the PA-E3 fiber formation during the self-assembly
process,[60] suggesting that PA-E3 fiber assembly still occurs in the presence of DBS-COOH. The exponents for the power law are 2.47 ± 0.05, 2.76 ±
0.04, and 2.95 ± 0.07 for the hydrogels with 4:1, 1:1, and 1:4
molar ratios of PA-E3/DBS-COOH, respectively.
For convenient comparison, the data for the fittings are summarized
in Supporting Information Table S1. These
power-law exponents suggest that there is an increasing nanofiber
network formation with increasing concentration of DBS-COOH, in agreement with the LSCM (Figure e–g), TEM (Figure b–d, top panel), and AFM (Figure g–i, middle
panel) images. However, it is important to mention that the radius
of the nanofibers is such that the scattering at mid- to high-Q range is dominated by the flexible elliptical model as
opposed to the power law. We confirmed this dominant flexible elliptical
model by plotting the intensity at Q of 0.06151 Å−1 against % PA-E3 in the mixture to obtain
a straight line fit as opposed to a nonlinear fit expected if DBS-COOH is entrained within the nanofibers of PA-E3 (Supporting Information Figure S5). Linking
this all together, we propose that self-sorting dominates, leading
to fibers that consist of PA-E3 only and others that
consist of DBS-COOH only. Since the PA-E3 assembles first, it will do so in the presence of unassembled DBS-COOH, and hence the assembly of PA-E3 may
be affected by the presence of the additive. The DBS-COOH then assembles to give the self-sorted system, which is known to
play an important role in determining bulk properties of hydrogels.[61]
Kinetics of Self-Assembly
Micelles
Act as Nuclei for Faster Assembly on PA-Containing
Systems
Understanding the kinetics of self-assembly is important
not only for gaining insight into the molecular mechanism but also
for the design and modulation of properties of multicomponent hydrogel
systems. In this study, we decided to use dynamic oscillatory rheology
to monitor the self-assembly kinetics of PA-E3, DBS-COOH, and the equimolar PA-E3/DBS-COOH mixture.
According to the time-sweep experiment within the linear viscoelastic
region (LVR) of the hydrogels, PA-E3 displayed the expected
rapid self-assembly (Figure a), whereas DBS-COOH exhibited a delay of about
20 min prior to self-assembly (Figure b). The PA-E3 system exhibits a two-stage
increase in G′ and G″.
By analogy to other works,[62] this can be
associated with interactions between initially formed fibers and a
decrease of charge in the nanofibers. We stress, however, that given
the difficulty to deconvolute the relative effects provided by fiber
bundling, cross-linking, and reduction of charges in the fibers, interpretation
of the rheology data must be taken with care. Interestingly, with
the inclusion of DBS-COOH, the equimolar mixture of PA-E3/DBS-COOH exhibited a slightly shorter delay of about
10 min prior to self-assembly upon the addition of GdL (Figure c). This suggests that the
two-component system displayed a different self-assembly mechanism
to pure DBS-COOH. It is well known that PA-E3 tends to form cylindrical micellar nanostructures in water due to
desolvation of the apolar palmitoyl group[63] and electrostatic repulsion between the negatively charged head
groups.[64] These structures are expected
to provide nucleation sites and thereby reduce the entropic cost of
PA self-assembly in both the single- and two-component systems. This
hypothesis is based on a nonclassical nucleation theory, in which
nucleation and growth are much faster in a heterogeneous system comprising
nuclei than the homogeneous counterpart having no preformed nuclei.[65,66] Therefore, as expected, unlike the DBS-COOH system
on its own, both PA-E3 and the equimolar mixture of PA-E3/DBS-COOH underwent faster self-assembly.
Figure 3
Kinetics of self-assembly
into nanofibers. Evolution of nanofibers
is monitored during the sol–hydrogel phase transition by recording
storage (G′) and loss (G″) modulus values as a function of time for 10 mM of (a) PA-E3, (b) DBS-COOH, and (c) equimolar mixture of PA-E3/DBS-COOH at 25 °C, and self-assembly is initiated by the addition of
GdL (10 mg/mL); frequency = 10 Hz, strain = 0.5%. (d) TEM images showing
self-assembly of PA-E3, DBS-COOH, and PA-E3/DBS-COOH into nanofibers at various time intervals.
Kinetics of self-assembly
into nanofibers. Evolution of nanofibers
is monitored during the sol–hydrogel phase transition by recording
storage (G′) and loss (G″) modulus values as a function of time for 10 mM of (a) PA-E3, (b) DBS-COOH, and (c) equimolar mixture of PA-E3/DBS-COOH at 25 °C, and self-assembly is initiated by the addition of
GdL (10 mg/mL); frequency = 10 Hz, strain = 0.5%. (d) TEM images showing
self-assembly of PA-E3, DBS-COOH, and PA-E3/DBS-COOH into nanofibers at various time intervals.The self-assembly of PA-E3, DBS-COOH,
and the equimolar PA-E3/DBS-COOH mixtures into a solid-like
gel, as revealed by G′, reached a plateau
within 115, 92, and 63 min, respectively (Figure a–c), implying that the gels were
supersaturated at the plateau region. Beyond the gelation point, tan δ
also decreases with time for the self-assembly of PA-E3, DBS-COOH, and PA-E3/DBS-COOH mixtures
and then levels off, representing the completion of self-assembly
(Supporting Information Figure S6). The
observed time difference for the full assembly of PA-E3, DBS-COOH, and PA-E3/DBS-COOH equimolar mixtures can be attributed to their distinct self-assembly
events. Bearing in mind that PA-E3 already assumed a
pregelation nanostructure, there is a high tendency for PA-E3 to undergo an assembly whereby there is a gradual increase in the
number and length of the nanostructures until an insoluble sample-spanning
network of nanofibers is formed.[67] Given
the sigmoidal rheographs of PA-E3 and that of the PA-E3/DBS-COOH mixture, we suggest that the self-assembly
mechanism of PA-E3 is consistent with such isodesmic
assembly with three set-lag phases: initial rearrangement/bundling
of the cylindrical micelles, elongation, and supersaturation (Supporting
Information Figure S1). On the other hand, DBS-COOH alone exhibits a different cooperative self-assembly
(nucleation-growth) mechanism via an initial formation and growth
of nuclei, above which a critical point gelation occurs.[68] The initiation of nucleation by DBS-COOH results in a delayed emergence of the assembly for about 20 min
following a prolonged lag phase (Supporting Information Figure S1). However, once assembly is initiated,
it then rapidly proceeds in a cooperative manner. Similar to the assemblies
of PA-E3, DBS-COOH assembly has three sets
of lag phases but with a different initial event—nucleation,
elongation, and supersaturation. Interestingly, the PA-E3/DBS-COOH assembly shows the fastest establishment (∼63 min) of an
overall gel network. This system (PA-E3/DBS-COOH) combines the initial nuclei of the PA-E3 system, reducing
the lag phase, with the cooperative network assembly of DBS-COOH, hence optimizing both the initial nucleation step and the assembly
of the full-sample-spanning network (Supporting Information Figure S1). This is a clear example of the dual
benefits of this two-component assembly system.The Avrami exponents, n, for the temporal changes
in the structure of PA-E3 and DBS-COOH and
the equimolar mixture of PA-E3/DBS-COOH as a result of
gradual pH-switching that drives self-assembly are 2.0, 2.2, and 2.7,
respectively (Supporting Information Figures S7–S9). With these values, we deduced that DBS-COOH and PA-E3 self-assembled into a two-dimensionanl nanostructure,
while the Avrami exponent obtained for the equimolar PA-E3/DBS-COOH mixture suggests the formation of a three-dimensional
nanostructure or networks. It is worth noting that these Avrami exponents
for DBS-COOH are higher than those previously determined
by NMR and CD methods.[38] This reflects
the fact that determining Avrami exponents by rheology will indicate
the formation of a sample-spanning network in two/three dimensions,
whereas the other methods report directly on one-dimensionally nanofiber
assembly. These results indicate a greater degree of three-dimensionality
in the presence of DBS-COOH, which is in agreement with
the earlier discussion about the ability of this gelator to enhance
nanofiber aggregation and sample-spanning nanofiber network formation.Remarkably, the slow self-assembly kinetics that result from using
low gelator concentrations (0.01 mM, pH 9) and the in situ protonation
resulting from GdL hydrolysis facilitated real-time observations of
the growth of the nanofibers by TEM. As shown in Figure d, at the onset of self-assembly
(t = 0), PA-E3 already exists in a preassembled
micellar form, while DBS-COOH exists in a free and monomeric
form at time t = 0 min. There are also micellar nanostructures
with similar dimensions in the equimolar solutions of PA-E3/DBS-COOH. Interestingly, within 15 min of adding GdL, DBS-COOH self-assembled into ∼200 nm long nanofibers, while the PA-E3 and PA-E3/DBS-COOH micelles grew into ∼600
nm long nanofibers. Further into the incubation period (45 and 60
min), the nanofibers grew into entangled, interpenetrated, and long
nanofiber networks in all cases. DBS-COOH and PA-E3/DBS-COOH nanofibers are clearly more bundled than PA-E3 and DBS-COOH alone, in agreement with the kinetic observations
from the rheological study described above. The hierarchical nanofiber
growth further confirms the nucleation–elongation–supersaturation
mechanism we proposed for the stepwise increase in the G′ values
observed in Figures a–c and 4, which also follows the kinetic
model of the step growth of β-amyloid peptide nanofibers.[69] It is important to mention that the differences
between nanofibers of PA-E3, DBS-COOH, and PA-E3/DBS-COOH are not sufficiently significant given the
need to air-dry the samples.
Figure 4
Mechanism of self-assembly. Proposed mechanisms
of self-assembly
of (a) PA-E3, (b) DBS-COOH, and (c) PA-E3/DBS-COOH when triggered with GdL in aqueous systems.
The green fluorescent images represent ThT fluorescent micrographs
of self-assembled nanofibers.
Mechanism of self-assembly. Proposed mechanisms
of self-assembly
of (a) PA-E3, (b) DBS-COOH, and (c) PA-E3/DBS-COOH when triggered with GdL in aqueous systems.
The green fluorescent images represent ThT fluorescent micrographs
of self-assembled nanofibers.
All-Atom Molecular Dynamics (MD) Simulations of Self-Assembly
It has been established that the structures, self-assembling driving
forces, surface charge, and hydrophobicity of building blocks in a
multicomponent self-assembling system are key to determining whether
they will coassemble or self-sort.[70−72] Therefore, molecular
dynamics simulations were performed using Material Studio 8.0 software
from Biovia Software Inc. (San Diego, CA)[73] to understand how the structural differences, driving forces, and
hydrophilicity of DBS-COOH and PA-E3 dictate
the type of internal nanostructuring in these two-component hydrogels.
According to solubility parameter calculations, the theoretical solubility
parameters of DBS-COOH and PA-E3 are 24.36
(J/cm3)1/2 and 23.13 (J/cm3)1/2, respectively, which implies that DBS-COOH is slightly more polar than PA-E3. Upon mixing the
two components, the cohesive energy density (CED) decreases as the
ratio of PA-E3 increases (Supporting Information Figure S10). Moreover, the enthalpy of mixing
(ΔHmix) values of DBS-COOH and PA-E3 was negative and became more negative with
a decreasing amount of PA-E3, indicating mixing of the
two components (Supporting Information Figure S11).Molecules of PA-E3 and DBS-COOH were constructed and optimized using DMOL3 quantum mechanical module.
Self-assembly of PA-E3 and DBS-COOH and
mixtures of both were studied by dynamics simulation using Forcite
module with COMPASS II force field. The results after 500 ps dynamic
steps (Figure b–e)
indicate that the introduction of some molecules of DBS-COOH into the simulation box of PA-E3 does not disturb the PA-E3 self-assembly, suggesting self-sorting of PA-E3. However, DBS-COOH molecules did not self-sort and
instead bind to the surface of the PA-E3 molecules through
multiple hydrogen-bonding interactions. At a higher DBS-COOH/PA-E3 ratio, the bound DBS-COOH molecules within close proximity
self-assemble, thereby facilitating interfacial interaction with the PA-E3 (Figure d). This interaction might explain the tendency of the two-component PA-E3/DBS-COOH system to form bundled nanofibers with improved
mechanical properties. Radial distribution function (RDF) was used
to estimate the intermolecular (hydrogen bond) interaction distance
between molecules of the individual components (PA-E3 and DBS-COOH), as well as their mixtures. It was found
that the most significant intermolecular interactions that underpin PA-E3 self-assembly are formed between H-carboxyl and O-carbonyl
groups (interaction distance of 1.7 Å and intensity of 5 (Figure e)). On the other
hand, the dominant intermolecular interactions between DBS-COOH molecules are O-carbonyl/H-O6 and O6/H-O6 with interaction distances
of 1.8 and 1.7 Å, respectively (Supporting Information Table S2). Interestingly, when PA-E3 molecules self-assemble in the presence of DBS-COOH, the intensity of the interaction distance between H-carboxyl and
O-carbonyl groups, as well as H-amide and O-carbonyl of PA-E3, remains constant (Figure e,f), suggesting that the presence of DBS-COOH does not affect the self-assembly of PA-E3. However,
by measuring the interaction distance between O-carbonyl/H-O6, as
well as O6/H-O6 of DBS-COOH at 1:1 (DBS-COOH/PA-E3) molar ratio, we observed no interaction formed
between DBS-COOH molecules (Figure g,h), thus indicating that DBS-COOH molecules preferentially interact with the self-assembled PA-E3 structure at this molar ratio. When the molar ratio
of DBS-COOH increases to 5:1 (DBS-COOH/PA-E3), a significant interaction is formed between DBS-COOH molecules (Figure g,h). In all cases, intermolecular hydrogen bond (H-bond)
interactions are formed between PA-E3 and DBS-COOH by several groups but the most significant interaction is formed
between O-carbonyl of DBS-COOH and H-carboxyl of PA-E3 with an interaction distance of 1.7 Å (Supporting
Information Table S2). The interactions
that the H-amide of PA-E3 forms with various groups of DBS-COOH are less significant, and in all cases, the interaction
intensity decreases with the decrease of PA-E3 concentration
(Figure i–l). DBS-COOH does not affect the interactions between PA-E3 as revealed by RDF results, suggesting that PA-E3 undergoes
self-sorting. However, the presence of PA-E3 causes DBS-COOH to alter its self-assembly fashion, which might corroborate
our findings with SANS and dynamic time-sweep rheology.
Figure 5
Molecular dynamics
simulation. Periodic cubic cell containing (a)
1 molecule of DBS-COOH (green) and 5 molecules of PA-E3, (b) 3 molecules of DBS-COOH (green) and
3 molecules of PA-E3, (c) 5 molecules of DBS-COOH (green) and 1 molecule of PA-E3, and (d) 12 molecules
of purely DBS-COOH after a 500 ps dynamics simulation.
Intermolecular interaction intensities between (e) H-carboxyl and
O-carbonyl of PA-E3 as pure component and in the presence
of DBS-COOH at various molar ratios, (f) H-amide and
O-carbonyl of PA-E3 as pure component and in the presence
of DBS-COOH at various molar ratios, (g) O-carbonyl of DBS-COOH and H-O6 of DBS-COOH as pure component
and in the presence of PA-E3 at various molar ratios,
(h) O6 of DBS-COOH and H-O6 of DBS-COOH as
pure component and in the presence of PA-E3 at various
molar ratios, (i) O-carbonyl of DBS-COOH and H-carboxyl
of PA-E3 at various molar ratios, (j) O-carbonyl of DBS-COOH and H-amide of PA-E3 at various molar
ratios, (k) O6 of DBS-COOH and H-amide of PA-E3, and (l) O5 of DBS-COOH and H-amide of PA-E3.
Molecular dynamics
simulation. Periodic cubic cell containing (a)
1 molecule of DBS-COOH (green) and 5 molecules of PA-E3, (b) 3 molecules of DBS-COOH (green) and
3 molecules of PA-E3, (c) 5 molecules of DBS-COOH (green) and 1 molecule of PA-E3, and (d) 12 molecules
of purely DBS-COOH after a 500 ps dynamics simulation.
Intermolecular interaction intensities between (e) H-carboxyl and
O-carbonyl of PA-E3 as pure component and in the presence
of DBS-COOH at various molar ratios, (f) H-amide and
O-carbonyl of PA-E3 as pure component and in the presence
of DBS-COOH at various molar ratios, (g) O-carbonyl of DBS-COOH and H-O6 of DBS-COOH as pure component
and in the presence of PA-E3 at various molar ratios,
(h) O6 of DBS-COOH and H-O6 of DBS-COOH as
pure component and in the presence of PA-E3 at various
molar ratios, (i) O-carbonyl of DBS-COOH and H-carboxyl
of PA-E3 at various molar ratios, (j) O-carbonyl of DBS-COOH and H-amide of PA-E3 at various molar
ratios, (k) O6 of DBS-COOH and H-amide of PA-E3, and (l) O5 of DBS-COOH and H-amide of PA-E3.In summary, the interactions mediating
the self-assembly can be
discussed on the basis of the energetics of molecular interactions.
The interactions that formed the self-assembled structures between PA-E3 and DBS-COOH will be a balance between
all possible energies. The PA-E3 self-assembly is driven
by the hydrophobic collapse of the hydrocarbon tail, while the polar
heads are displayed on the periphery of the nanofibers. Therefore,
the energy associated with the assembly of PA-E3 is too
large for DBS-COOH to fully disrupt, but then DBS-COOH can form some adventitious interactions with parts (polar head group)
of PA-E3 that are not responsible for self-assembly to
provide some favorable energetics. In this way, small amounts of DBS-COOH interact with the assembling PA-E3 but
without disrupting it. As the concentration of DBS increases, self–self
interactions become more important for DBS-COOH because
there are more potential DBS-COOH binding partners, resulting
in interactions between DBS-COOH molecules becoming more
energetically significant.
Viscoelastic and Self-Recovery Properties
of Hydrogels
Given the increasing hydrogel translucency that
is observed with
the growing concentration of DBS-COOH in the PA-E3/DBS-COOH hydrogels (Figure b) as a result of higher nanofiber density, we used dynamic oscillatory
rheometry to quantify its effect on the bulk properties (stiffness)
of the hydrogels. Based on amplitude-sweep measurements, hydrogels
for PA-E3 (10 mM) and DBS-COOH (10 mM) exhibited
storage moduli (G′) of ∼9.5 and ∼27
kPa, respectively (Figure a). Interestingly, G′ values increased
linearly with an increasing percentage of DBS-COOH in
the PA-E3/DBS-COOH hydrogels (Figure a and Supporting Information Figure S12), indicating a synergistic effect.
Also, from the amplitude-sweep measurements, the critical strain (i.e.,
the strain at which the hydrogels break) for DBS-COOH and PA-E3 were 0.8 (Supporting Information Figure S13) and 2.7% (Supporting Information Figure S14), respectively. The critical strain
values for the two-component hydrogels range between 1 and 2% (Supporting
Information Figures S15–S18) and
slightly decrease as the amount of PA-E3 in the hydrogels
decreases, suggesting that PA-E3 is able to promote the
formation of resilient hydrogels. Previous studies have shown that
π–π stacking between DBS gelators confers enhanced
rigidity on their self-assembled structures.[40] This rigid structure formation suggests a reason for higher G′ values (also lower values of tan δ)
of DBS-COOH hydrogels and the PA-E3/DBS-COOH than those of the nonaromatic PA-E3 hydrogels
(Supporting Information Figure S13). It
is important to note that the total concentration of the gelators
remains fixed (10 mM) in all multicomponent hydrogels; so, differences
cannot be assigned to total gelator loading.
Figure 6
Mechanics and self-healable
properties. (a) Plots of G′ against the percentage
of DBS-COOH in the hydrogels.
(b)–(d) show the self-recovery of PA-E3, DBS-COOH and the equimolar concentration of PA-E3 and DBS-COOH, respectively. In all cases, the hydrogels
were subjected to a constant frequency of 10 Hz and strain of 0.1%
(100 s), 100% (100 s), 0.1% (200 s), 100% (100 s), 0.1% (200 s), 100%
(100 s), and 0.1% (400 s).
Mechanics and self-healable
properties. (a) Plots of G′ against the percentage
of DBS-COOH in the hydrogels.
(b)–(d) show the self-recovery of PA-E3, DBS-COOH and the equimolar concentration of PA-E3 and DBS-COOH, respectively. In all cases, the hydrogels
were subjected to a constant frequency of 10 Hz and strain of 0.1%
(100 s), 100% (100 s), 0.1% (200 s), 100% (100 s), 0.1% (200 s), 100%
(100 s), and 0.1% (400 s).Self-assembly through noncovalent bonds such as π–π
stacking, hydrogen bonding, and host–guest interactions holds
great potential for constructing self-healable hydrogels due to their
intrinsic reversibility.[74−76] For example, Stevens and co-workers
have harnessed the ability of noncovalent β-sheet cross-links
to fabricate self-healable hybrid hydrogels owing to their ability
to reassemble and recover fully after being strained to failure.[77] Given the structural dissimilarity between the
aromatic sugar gelator (DBS-COOH) and the β-sheet
forming PA gelator (PA-E3), we wanted to dissect the
impact of the interplay of the π–π stacking and
hydrogen bonding that DBS-COOH provides and the noncovalent
β-sheet cross-links that PA-E3 offers to the self-healing
ability of the PA-E3/DBS-COOH hydrogel.To test
this hypothesis, the thixotropic properties of the hydrogels
after high shear loads were measured in dynamic time-sweep experiment
under strain amplitudes within (0.1%) and beyond (100%) the linear
viscoelastic region (LVR) of the hydrogels (Supporting Information Figure S12 for the LVR). Under high shear load,
the hydrogels undergo an internal breakage as indicated by the significant
decrease and inversion of G′ and G″ values. This signifies that the liquid-like behavior of
the hydrogels dominates under high strain amplitude, which indicates
that the hydrogels have been broken. After three cycles of strain
amplitude, hydrogels of PA-E3 displayed full (100%) recovery
(Figure b), while DBS-COOH hydrogels only recovered 62% (Figure c) and hydrogels with a 1:1 molar ratio of PA-E3/DBS-COOH exhibited 98% recovery (Figure d). The two-component
gel, therefore, exhibited enhanced stiffness relative to individual
building blocks as a result of the DBS-COOH aromatic
structure while maintaining a high level of recovery compared to that
of the DBS-COOH hydrogels due to the PA-E3 noncovalent β-sheet cross-links. This result demonstrates
how the two distinct gelators cooperate in the multicomponent hydrogels.
Also, these data reveal how interactions of self-assembling building
blocks at the nanoscale and the spatiotemporal arrangement of the
nanofibers can translate into material bulk properties at the macroscale
level.[78,79]
Proteolytic Stability and Effects on Cell
Morphology
To further demonstrate the synergistic material
properties that can
emerge from the multicomponent PA-E3/DBS-COOH hydrogels,
we assessed the material’s resistance to proteolysis. PAs have
been widely used in vivo as therapeutic agents in regenerative medicine.
However, the peptide bonds with l-chirality are known to
quickly degrade after systemic delivery.[80] Instability of alkylated l-peptides to proteolysis has
also been reported.[81] Therefore, d-enantiomers with better resistance to proteolysis have previously
been used as a substitute or a protective corona for the l-enantiomers by coassembly.[82−84] Covalent attachment of polymers
to the peptide surface is another approach that has previously been
explored.[80] For example, Stupp and co-workers
employed a supramolecular coassembly strategy to develop proteolytically
stable PA nanofibers consisting of an antitumor PA in combination
with its PEGylated analogue.[85] The use
of a nonpeptidic low-molecular-weight gelator as a protective corona
for l-peptides against premature proteolysis is another approach
that has not been explored in the field of biomaterial development.
Our self-assembled system bearing well-defined structures of a lipidated l-peptide and acetalized d-sugar would provide an alternative
approach to extend the functionality of PAs.To investigate
proteolytic stability, PA-E3/DBS-COOH and
control hydrogels interacted with the aqueous solution of proteinase
K (50 mg/mL). Digestions were assessed using scanning electron microscopy
(SEM) to characterize the morphology of PA-E3, DBS-COOH, and PA-E3/DBS-COOH hydrogels. Unlike
the nanostructure of PA-E3 hydrogels submerged in PBS
(Figure a), Figure d shows that the PA-E3 hydrogel nanostructures were digested and transformed
into aggregates of nanoparticles after incubating with proteinase
K for 5 days. This structural transformation is reminiscent of a report
by Hamley and co-workers using chymotrypsin to induce nanofiber–nanoparticle
transformation in a PA solution.[81] As expected, DBS-COOH hydrogel nanostructures (Figure b) remained intact after treatment with proteinase
K (Figure e), suggesting
that DBS-COOH lacks the specific motifs for enzymatic
cleavage. Indeed, equimolar mixtures of PA-E3/DBS-COOH hydrogels were resistant to enzymatic digestions as the nanostructures
remained intact (Figure f) when compared with the nanostructure of the hydrogels that were
not treated with proteinase K (Figure c), suggesting that DBS-COOH acted as
a protective corona around PA-E3 nanofibers in the two-component
hydrogels, making it impossible for the enzyme to access peptide bonds
in PA-E3. To further elucidate the enzymatic degradation
of the PA-E3 by proteinase K, liquid chromatography–mass
spectrometry (LC–MS) was employed. As shown in Supporting Information Figure S19a,aii, an LC–MS spectrum for
the PA-E3/proteinase K mixture reveals multiple peaks
with m/z values of 1177.80, 1155.70,
1078.70, 847.5, 846.5, 817.7, 520.2, and 418.3 Da. The sharp peaks
with m/z values 1177.80 and 1155.70
Da correspond to [M + Na] + and [M + H] +, respectively,
where M is the calculated mass of PA-E3. The remaining
peaks are the masses of the PA-E3 fragments following
proteolysis. Also, the ultraviolet–visible (UV) chromatogram
displayed two broad bands after digestion (Supporting Information Figure S19c). Interestingly, only two peaks with m/z values 1177.80 and 1155.70 Da, which
correspond to [M + Na] + and [M + H] +, respectively,
were observed on the spectrum of PA-E3/DBS-COOH/proteinase
K mixture (Supporting Information Figure S19b), suggesting that DBS-COOH indeed acted as a protective
corona for PA-E3 in the multicomponent hydrogels, limiting
the proteolysis of PA-E3. Impacts of this morphological
transformation on the macroscopic hydrogels were also assessed by
a weight loss measurement approach. After incubating the DBS-COOH and DBS-COOH/PA-E3 hydrogels in enzyme solution, as
well as PA-E3 hydrogels in PBS for 22 days, the weight
ratio remained constant. In contrast, the weight ratio of PA-E3 hydrogels in enzyme solution drastically reduced within 22 days
of incubation (Figure g). These results further support our argument that the macroscopic
properties of multicomponent hydrogels are dependent on the nanoscale
composition.
Figure 7
Biological functionalities. Stability of nanofibers of
(a) DBS-COOH, (b) PA-E3, (c) 1:1 molar ratio
of DBS-COOH and PA-E3 submerged in PBS solution.
(d) DBS-COOH, (e) PA-E3, and (f) 1:1 molar
ratio of DBS-COOH and PA-E3 after incubation
with proteinase K for 5 days, as revealed by SEM. (g) Degradation
profile of PA-E3, DBS-COOH, and PA-E3/DBS-COOH hydrogels after incubation with proteinase K at 37 °C for 22
days. PA-E3 hydrogels were also incubated in PBS under
similar conditions. LSCM images of human-adipose-derived stem cells
seeded on hydrogels of (h) PA-E3, (i) PA-E3/DBS-COOH (4:1), (j) PA-E3/DBS-COOH (1:1), (k) PA-E3/DBS-COOH (1:4), (l) DBS-COOH, and (m) cells plated on TCP for
4 days. Scale bar: 300 μm.
Biological functionalities. Stability of nanofibers of
(a) DBS-COOH, (b) PA-E3, (c) 1:1 molar ratio
of DBS-COOH and PA-E3 submerged in PBS solution.
(d) DBS-COOH, (e) PA-E3, and (f) 1:1 molar
ratio of DBS-COOH and PA-E3 after incubation
with proteinase K for 5 days, as revealed by SEM. (g) Degradation
profile of PA-E3, DBS-COOH, and PA-E3/DBS-COOH hydrogels after incubation with proteinase K at 37 °C for 22
days. PA-E3 hydrogels were also incubated in PBS under
similar conditions. LSCM images of human-adipose-derived stem cells
seeded on hydrogels of (h) PA-E3, (i) PA-E3/DBS-COOH (4:1), (j) PA-E3/DBS-COOH (1:1), (k) PA-E3/DBS-COOH (1:4), (l) DBS-COOH, and (m) cells plated on TCP for
4 days. Scale bar: 300 μm.To investigate the response of cells to the multicomponent hydrogels,
we cultured human-adipose-derived stem cells (ADSCs) on the hydrogels
prepared with various stoichiometric ratios of PA-E3 and DBS-COOH. After 4 days of incubation, the cells were stained
with live/dead dyes. Cells stained with the green dye (calcein AM)
were alive, while those stained with the red dye (ethidium homodimer)
were dead. As shown in Figure h, the cells on the PA-E3 hydrogels assumed a
round morphology after 4 days in culture. In contrast, hydrogels of DBS-COOH were fully covered with live cells. Also, the cells
exhibited an elongated morphology (cell spreading) (Figure l) similar to cells cultured
on tissue culture plastic (TCP) (Figure m). For the multicomponent hydrogels with
4:1 and 1:1 ratios of PA-E3/DBS-COOH, there was a mixture
of both round and elongated cells. However, the cells seeded on hydrogels
with a 1:4 ratio of PA-E3 and DBS-COOH formed
a network of elongated morphology (Figure k). Evidently, cells were more viable on DBS-COOH hydrogels than those on PA-E3 hydrogels.
The multicomponent hydrogels are intermediate between the two—clearly, DBS-COOH can impart some of cell compatibility to these hybrid
materials. The tunable morphology of the cells also shows how molecular
composition and mechanical properties of supramolecular hydrogels
can potentially be used to influence cell growth and potentially,
in the future, decide cell phenotypes. We hope to characterize cell
differentiation in detail in the future.
Conclusions
We
report on the synergistic properties arising from the self-sorting
of a PA- and a DBS-based gelator by slow acidification. Compared to
the individual components, the resulting multicomponent hydrogels
exhibited a series of properties including tunable nanoscale morphology,
improved stiffness (endowed by DBS gelator), enhanced self-healing
(endowed by the PA), stability to enzymatic degradation (provided
by the DBS gelator), and cell compatibility (provided by the DBS gelator).
Induced circular dichroism of ThT, SANS, and molecular dynamics simulations
demonstrated self-sorting with the DBS-COOH initially
acting as an additive adsorbed on the surface of the PA-E3 nanofibers through multiple hydrogen-bonding interactions. The adsorbed
sugar molecules within close proximity then interact with each other,
thereby facilitating interfacial interactions between nanofibers.
We reason that these interfacial interactions impart the nanofiber
network with enhanced stiffness, as well as resistance to enzymatic
degradation. With regard to the assembly mechanism, the PA-E3 exhibits different assembly kinetics than DBS-COOH,
with the PA-E3 benefitting from the presence of multiple
cylindrical micellar nuclei, avoiding the lag phase inherent in the DBS-COOH. However, the assembly of the DBS gelator is more
cooperative and rapid once nucleation has occurred. Interestingly,
the multicomponent system benefits from both advantages of the PA
and DBS systems and is the fastest to establish a full-sample-spanning
gel network. Finally, human-adipose-derived stem cells could be cultured
on the DBS gelator and the two-component hydrogels with a sufficiently
high concentration of DBS-COOH, opening new opportunities
for developing complex hydrogels for regenerative medicine. In summary,
we have developed and characterized a PA-E3/DBS-COOH hybrid
system that expands the scope and capacity of both PA-E3 and DBS-COOH with each of the two LMWG systems endowing
the resulting hybrid gel with its own unique capabilities.
Authors: Daniel J Toft; Tyson J Moyer; Stephany M Standley; Yves Ruff; Andrey Ugolkov; Samuel I Stupp; Vincent L Cryns Journal: ACS Nano Date: 2012-08-28 Impact factor: 15.881
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