Thomas M FitzSimons1, Eric V Anslyn2, Adrianne M Rosales1. 1. McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, United States. 2. Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.
Abstract
Hydrogels cross-linked with dynamic covalent bonds exhibit time-dependent properties, making them an advantageous platform for applications ranging from biomaterials to self-healing networks. However, the relationship between the cross-link exchange kinetics, material properties, and stability of these platforms is not fully understood, especially upon addition of external stimuli. In this work, pH was used as a handle to manipulate cross-link exchange kinetics and control the resulting hydrogel mechanics and stability in a physiologically relevant window. Poly(ethylene glycol)-based hydrogels were cross-linked with a reversible thia-Michael addition reaction in aqueous buffer between pH 3 and pH 7. The rate constants of bond exchange and equilibrium constants were determined for each pH value, and these data were correlated with the resulting mechanical profiles of the bulk hydrogels. With increasing pH, both the forward and the reverse rate constants increased, while the equilibrium constant decreased. These changes led to faster stress relaxation and less stiff hydrogels at more basic pH values. The elevated pH values also led to an increased mass loss and a faster rate of release of an encapsulated model bovine serum albumin fluorescent protein. The connection between the kinetics, mechanics, and molecular release profiles provides important insight into the structure-property relationships of dynamic covalent hydrogels, and this system offers a promising platform for controlled release between physiologically relevant pH values.
Hydrogels cross-linked with dynamic covalent bonds exhibit time-dependent properties, making them an advantageous platform for applications ranging from biomaterials to self-healing networks. However, the relationship between the cross-link exchange kinetics, material properties, and stability of these platforms is not fully understood, especially upon addition of external stimuli. In this work, pH was used as a handle to manipulate cross-link exchange kinetics and control the resulting hydrogel mechanics and stability in a physiologically relevant window. Poly(ethylene glycol)-based hydrogels were cross-linked with a reversible thia-Michael addition reaction in aqueous buffer between pH 3 and pH 7. The rate constants of bond exchange and equilibrium constants were determined for each pH value, and these data were correlated with the resulting mechanical profiles of the bulk hydrogels. With increasing pH, both the forward and the reverse rate constants increased, while the equilibrium constant decreased. These changes led to faster stress relaxation and less stiff hydrogels at more basic pH values. The elevated pH values also led to an increased mass loss and a faster rate of release of an encapsulated model bovine serum albumin fluorescent protein. The connection between the kinetics, mechanics, and molecular release profiles provides important insight into the structure-property relationships of dynamic covalent hydrogels, and this system offers a promising platform for controlled release between physiologically relevant pH values.
Dynamic covalent polymeric
networks have attracted recent attention
for a variety of applications, including drug delivery systems,[1−3] self-healing materials,[4−6] and pressure-sensitive adhesives.[7,8] Because dynamic covalent reactions are reversible, their use in
polymeric networks gives rise to materials with properties that change
on time scales relative to bond exchange kinetics.[9] These bond exchange kinetics are directly related to molecular
structure and bond type. For instance, previous work with reversible
thiol-ene networks leveraged chemical modifications to the aromatic
ring at the β site of an α,β-unsaturated carbonyl
to induce a preferential change in the forward rate constant.[4,10] Specifically, more electron-withdrawing substituents increased the
forward rate constant, leading to larger storage moduli for the resulting
networks. However, external stimuli, such as catalyst addition or
temperature, also offer a route to directly manipulate material properties
via bond exchange kinetic control.[1,11−200] In dynamic covalent hydrogel systems, in particular, responsive
materials may be further manipulated through the control of pH.Several dynamic covalent reactions rely on a deprotonation event
for either bond formation (forward direction), bond breaking (reverse
direction), or both. Manipulation of pH allows the user to control
the thermodynamics of these deprotonation events, which thereby affects
the kinetics of bond exchange that rely on those events. Importantly,
whether the bond exchange kinetics are increased or decreased with
pH depends on the reaction mechanism for that system. For instance,
in a bisaliphatic hydrazone cross-linked hydrogel, increasing pH led
to an initial increase in the gelation speed up to physiological pH,
after which the gelation speed began to decrease.[14] To explain this, McKinnon et al. found that the forward
rate constant for the hydrazone formation reaction reached a maximum
at physiological pH. In two other studies using boronic ester cross-linked
hydrogels, however, increasing pH slowed the reverse reaction rate
constant, leading to more stable and elastic hydrogels at alkaline
conditions.[2,15] Clearly, the individual response
of the forward and reverse cross-linking reactions plays a key role
in how a dynamic covalent hydrogel responds to changes in pH.A key application that has utilized pH responsiveness is drug delivery
systems, which exhibit different release profiles of encapsulated
therapeutics when hydrogel mesh size changes upon physiologically
relevant shifts in pH. Many of these systems are polyelectrolytes
and therefore respond by changes in swelling behavior due to ionic
interactions.[16−20] Dynamic covalent hydrogels, however, need not be polyelectrolytes
to exhibit differential release profiles when changing pH. For instance,
in hydrazone cross-linked polyacrylamide-based hydrogels, Rhodamine
B was released more quickly at pH 2.5 than at pH 6 or pH 7.4.[21] These differences in release were attributed
to the hydrogel stability; at pH 2.5, the hydrogel quickly degraded
due to the lability of the hydrazone bonds, whereas the hydrogels
were more stable at elevated pH, allowing for sustained release. Further
work is needed to understand the relationship between hydrogel stability
and release as a function of pH in dynamic covalent systems to enable
delivery applications for encapsulated therapeutics.[22,23]Toward that end, we investigated the effect of pH on the properties
of a dynamic covalent hydrogel cross-linked with a reversible thia-Michael
addition reaction. Utilizing a benzylcyanoacetamide-functionalized
four-arm poly(ethylene glycol) (PEG-BCA) macromer (Figure A), we measured the reaction
progress for pH 3–7 via UV/vis spectroscopy and determined
the forward and reverse rate constants by fitting a second-order kinetic
model. By combining the PEG-BCA with a four-arm PEG-thiol macromer,
we also assessed the effect of these kinetic changes on the mechanics
of the formed hydrogels by shear rheometry, as well as the ability
for these hydrogels to self-heal at different pH values (Figure B). We specifically
selected pH values between 3 and 7 to span the range in the gastrointestinal
tract, which is of interest for many oral delivery applications. Finally,
we characterized the mass loss behavior for these hydrogels between
pH 3 and pH 7, as well as measured the release profiles of an encapsulated
model protein. Taken together, this study offers insight into the
behavior of a pH-responsive dynamic covalent hydrogel with potential
applications in therapeutic delivery for the gastrointestinal tract.
Figure 1
(A) Chemical
structures for the two macromers used in this study.
The conjugate acceptor is a four-arm benzylcyanoacetamide-functionalized
poly(ethylene glycol) (PEG-BCA). The nucleophile is a four-arm PEG-thiol.
(B) Schematic of the effect pH plays on the reaction. With increasing
pH, both the forward and reverse rate constants increase, while the
equilibrium constant decreases.
(A) Chemical
structures for the two macromers used in this study.
The conjugate acceptor is a four-arm benzylcyanoacetamide-functionalized
poly(ethylene glycol) (PEG-BCA). The nucleophile is a four-arm PEG-thiol.
(B) Schematic of the effect pH plays on the reaction. With increasing
pH, both the forward and reverse rate constants increase, while the
equilibrium constant decreases.
Materials and Methods
All materials
were used as purchased unless otherwise specified.
Propargyl amine, anhydrous ethanol, peptide synthesis grade dimethylformamide
(DMF), dimethyl sulfoxide-d6 (DMSO-d6), deuterium oxide, deuterated chloroform,
Sigmacote, copper sulfate, sodium ascorbate, and β-mercaptoethanol
were purchased from Sigma-Aldrich. Four-arm 20 kDa molecular weight
PEG-azide and four-arm 10 kDa molecular weight PEG-thiol were purchased
from JenKem USA. Methyl cyanoacetate, diethyl ether, and citric acid
were purchased from Fisher Scientific.
Synthesis of Propargyl
Cyanoacetamide
Propargyl cyanoacetamide
was synthesized as previously described.[4] Briefly, propargyl amine (5.81 mL, 0.0908 mol, 1.0 equiv) and methyl
cyanoacetate (8.01 mL, 0.0908 mol, 1.0 equiv) were added to an oven-dried
round-bottom flask. The reaction proceeded upon stirring for 24 h
at room temperature. The product precipitated out and was washed with
200 mL of ice-cold diethyl ether under vacuum filtration. The product
was a light yellow solid, yield = 84% (Figure S1). 1H NMR (DMSO-d6, 400 MHz): δ 8.66 (t, 1H), 3.86 (dd, 2H), 3.62 (s, 2H), 3.14
(t, 1H). HRMS (CI) [M + H]+ calcd 123.06; found, 123.0558.
Synthesis of PEG-Cyanoacetamide (PEG-CA)
PEG-CA was
synthesized via copper-catalyzed click chemistry as previously described.[4] Briefly, four-arm, 10 kDa molecular weight PEG-azide
(1 g, 0.1 mmol) and propargyl cyanoacetamide (58.62 mg, 0.48 mmol,
4.8 equiv) were added to a round-bottom flask. This flask was purged
with argon for 5 min. Copper(II) sulfate (12.77 mg, 0.08 mmol, 0.8
equiv) and sodium ascorbate (31.7 mg, 0.16 mmol, 1.6 equiv) were added
to a separate vial, which was also purged with argon. Ultrafiltered
water (8 mL) and peptide synthesis grade DMF (8 mL) were added via
syringe to the vial containing copper sulfate and sodium ascorbate.
The vial was sonicated to dissolve the solids. This vial was cannulated
to the flask containing the PEG and propargyl cyanoacetamide. The
mixture was allowed to react for 3 days under a constant flow of argon.
After 3 days, the contents were precipitated into ice-cold diethyl
ether (two vials with 30 mL of ether each). The reaction mixture phase-separated
into a PEG-containing aqueous layer and an organic layer. The organic
layer was discarded, and the aqueous layer was moved through a 0.2
μm
PTFE syringe filter into a dialysis bag (1 kDa MWCO) and dialyzed
against deionized water for 3 days, changing the water every day.
After 3 days, the contents were lyophilized. Yield = 99%, functionalization
= ∼92% (Figure S2). 1H NMR (DMSO-d6, 400 MHz): δ 8.68
(t, 1H), 7.92 (s, 1H), 4.46 (t, 2H), 4.28 (d, 2H), 3.4 (s, 227H).
Synthesis of Conjugate Acceptor-Functionalized PEG (PEG-BCA)
A Knoevenagel condensation was used to attach a benzaldehyde to
PEG-CA to make PEG-BCA, as previously described.[4] PEG-CA (272 mg, 0.0272 mmol), anhydrous ethanol (5 mL),
and benzaldehyde (1.1 mL, 10.88 mmol, 400 equiv) were added to a round-bottom
flask. The flask was purged with argon for 5 min and then heated to
65 °C. The reaction was allowed to proceed for 2 days. After
2 days, the solution was precipitated through a 0.2 μm PTFE
syringe filter into ice-cold diethyl ether (35 mL, three times, filtering
only the first time) to separate the functionalized PEG product from
excess aldehyde. After each precipitation, the vial was centrifuged
to recover the precipitated solid PEG product, and the supernatant
was discarded. After precipitation, the solid product was dried overnight
under vacuum. Yield = 99%, functionalization = ∼91% (Figure S3). 1H NMR (DMSO-d6, 400 MHz): δ 8.99 (t, 1H), 8.17 (s, 1H), 7.94
(s, 1H), 7.89 (dd, 2H), 7.51–7.56 (m, 3H), δ = 3.4 (s,
227H).
Rheometry
Rheometry experiments were conducted using
a TA Instruments Discovery HR2 rheometer. An 8 mm flat stainless-steel
geometry on a stainless-steel Peltier plate was used for all experiments
unless otherwise stated. Hydrogels were preformed in 8 mm molds. Hydrogels
were surrounded with light mineral oil after lowering the geometry
to the experimental gap height to prevent dehydration. All experiments
were done at 25 °C. Frequency sweeps were performed from 0.01
to 10 rad/s at 1% strain. The step strain experiment was performed
at 10 rad/s using a 20 mm 2° stainless-steel cone geometry, using
1% and 1000% strains.
UV/Vis Spectroscopy
Kinetic rate
constants were determined
via absorbance on a QE Pro high-performance spectrometer manufactured
by Ocean Insight. First, an open top glass cuvette was filled with
1 mL of a 40 μM solution of the conjugate acceptor in citric
acid buffer. A small stir bar was added. The absorbance was recorded,
and an additional 1 mL of a 40 μM solution of β-mercaptoethanol
in citric acid buffer was added. This led to an initial concentration
for both molecules of 20 μM. The concentration of each species
in time was calculated based on the extinction coefficient from the
start of the experiment when there is no product, using a procedure
from a previous study.[4] The concentration
of the conjugate acceptor was plotted versus time and fit to a second-order
kinetic model that incorporates a first-order reverse reaction to
determine the forward and reverse rate constants (eq S1). This model assumes equal starting concentrations of
both reactants in order to provide an analytical solution to the differential
equation for the rate of change of the concentrations. An in-depth
description of this model is provided in the Supporting Information.
NMR Spectroscopy
1H NMR
spectra (400 MHz)
were recorded on an Agilent MR400 spectrometer at room temperature.
Hydrogel Preparation for Rheometry
All hydrogels were
formulated at room temperature by mixing PEG-BCA with a 1:1 stoichiometric
amount of thiol-functionalized four-arm 10 kDa PEG. Unless otherwise
stated, the hydrogels contained 5 wt % polymer with a functional group
concentration around ∼9.5 mM.Hydrogels for rheometry
were made in cylindrical molds with an 8 mm diameter from 0.5 mm thick
silicone sheets. The silicone molds were placed on a Sigmacote-treated
hydrophobic glass slide. The two macromer solutions were pipet mixed
in the molds, and another Sigmacote-treated glass slide was placed
on top of the mold. After gelation, each hydrogel was used for rheometry.
Mass Loss Hydrogel Preparation
Hydrogels for the swelling
unrestricted mass loss study were made in 5 mm diameter syringes with
the end cut off. The two macromers were pipet mixed in the barrel
of the syringe, and parafilm was placed over each syringe to prevent
dehydration. After gelation, hydrogels were ejected from the syringe
barrel and used for the experiment. Each hydrogel had a volume of
100 μL.Hydrogels for the swelling restricted mass loss
study were made in the bottom of 1.5 mL microcentrifuge tubes. The
two macromers were pipet mixed in the tubes and briefly centrifuged
to make sure the hydrogels were in the bottom of the tubes. After
gelation, the hydrogels were ready for the experiment, wherein 1.3
mL of buffer was placed on top of each hydrogel. Each hydrogel had
a volume of 50 μL.
Protein Release Study
In the protein
release study,
the hydrogels were prepared in an identical manner to the swelling
restricted mass loss study, but the macromer solutions contained 2.5
mg/mL of bovine serum albumin (BSA)-fluorescein, which was encapsulated
in the hydrogels upon gelation. Then, 1.3 mL of buffer with no protein
was added to each tube, and 100 μL aliquots were taken at each
time point, with the taken volume being replaced by fresh buffer.
The aliquot’s fluorescence was determined using a plate reader,
and the concentration of the protein was determined based on a standard
curve (Figure S4). The excitation and emission
wavelengths were 494 nm and 520 nm, respectively.
Results and Discussion
pH Affects
Bond Exchange Kinetics
To probe the effects
of pH on the kinetics of the reversible thia-Michael addition reaction,
we measured the rate constants over the pH range of 3–7 via
UV/vis spectroscopy. Specifically, we mixed PEG-BCA with an equimolar
concentration of β-mercaptoethanol, a small molecule thiol,
and monitored the disappearance of the α,β-unsaturated
carbonyl peak as a function of time (Figure S5). Due to the conjugation across this double bond, the conjugate
acceptor molecule absorbs light strongly at a wavelength of 300 nm,
while the product and thiol do not. We assumed the conjugate acceptor
and thiol only reacted with each other, and that there were no side
reactions present, which is a reasonable assumption given the “click”
nature of the Michael addition reaction.[24] Thus, the Beer–Lambert law was used to calculate the concentrations
of both reactants and products. The resulting concentration values
were then fit to a second-order reversible addition kinetic model
to determine the forward and reverse rate constants (Figure A).[25] This experiment was repeated for each pH value between pH 3 and
pH 7, each using citric acid as the buffer. The reactant concentration
decreased faster for the higher pH values but stabilized at a higher
concentration upon reaching equilibrium.
Figure 2
(A) Representative second-order
kinetic model fits for each pH
value for the disappearance of reactants. As the pH increases, the
equilibrium is reached at a higher reactant concentration but is achieved
faster. (B) Forward and reverse rate constants for each pH. As the
pH increases, both the forward and reverse rate constants increase.
(C) Equilibrium constants for each pH. As both rate constants increase
with increasing pH, the reverse rate constant must be increasing faster
in order for the equilibrium constant to decrease.
(A) Representative second-order
kinetic model fits for each pH
value for the disappearance of reactants. As the pH increases, the
equilibrium is reached at a higher reactant concentration but is achieved
faster. (B) Forward and reverse rate constants for each pH. As the
pH increases, both the forward and reverse rate constants increase.
(C) Equilibrium constants for each pH. As both rate constants increase
with increasing pH, the reverse rate constant must be increasing faster
in order for the equilibrium constant to decrease.The faster decrease in the reactant concentration for higher
pH
values signified larger forward rate constants (Figure B). Indeed, model fits indicated that the
forward rate constant increased from 0.83 M–1 s–1 at pH 3 to 15.3 M–1 s–1 at pH 7. These results agree with the proposed mechanism for the
reaction (Figure S6), which involves deprotonation
of the thiol for the forward direction. Interestingly, however, the
proposed mechanism also indicates a deprotonation event for the reverse
reaction to generate an enolate, thereby indicating that an increase
in pH would increase both rate constants. What is less apparent, however,
is which reaction direction is more strongly affected and how pH affects
the resulting equilibrium constant for this reaction. Indeed, our
calculated values for the reverse rate constant also increased with
pH, from 6.24 × 10–5 s–1 at
pH 3 to 1.1 × 10–2 s–1 at
pH 7 (Figure B). Relative
to the forward rate constant (∼23-fold increase with pH), the
reverse rate constant was more strongly affected by pH (∼176-fold
increase). Thus, the equilibrium constant decreased for more basic
pH, resulting in values from 1.05 × 104 M–1 at pH 3 to 1.37 × 103 M–1 at pH
7 (Figure C). These
results explain the higher plateau values of the reactant concentrations
at elevated pH seen in our kinetic experiments.
Impact of pH
on Hydrogel Mechanics
We anticipated that
a decrease in the equilibrium constant with increasing pH would correspond
to a decrease in the plateau storage moduli of hydrogels formed from
PEG-BCA and PEG-thiol. To test this hypothesis, we formulated hydrogels
at a PEG concentration of 5 wt % and 1:1 thiol-ene stoichiometry.
Shear storage moduli were measured using an oscillatory rheometer
at 1% strain and a frequency of 1 rad/s (Figure A), which is within the linear viscoelastic
regime (Figure S7). We observed a small
decrease in the plateau moduli of the hydrogels from an average of
2590 Pa at pH 3 to 2050 Pa at pH 7 (Figure B). The decrease in equilibrium constant
translates to a lower cross-linking density as the cross-linking reaction
is shifted toward the reactants. This trend can be predicted by modified
rubber elasticity theory, which incorporates the equilibrium constant
in calculations of the hydrogel cross-link density (Table S1).
Figure 3
(A) Representative frequency sweep graphs for each pH
value. As
the pH increases, so too does the crossover point. The lower pH values
had crossover points below the measurable range on the rheometer.
(B) Plateau modulus for each pH value. As pH increases, the plateau
modulus decreases, mirroring the behavior of the equilibrium constant.
(C) Plateau modulus versus equilibrium constant. Also included is
theoretical data based on modified rubber elasticity theory with calculations
developed on theory by Parada and Zhao[27] on ideal reversible polymer networks. (D) Stress relaxation half-life
for each pH value. As the pH increases, the half-life of stress relaxation
decreases.
(A) Representative frequency sweep graphs for each pH
value. As
the pH increases, so too does the crossover point. The lower pH values
had crossover points below the measurable range on the rheometer.
(B) Plateau modulus for each pH value. As pH increases, the plateau
modulus decreases, mirroring the behavior of the equilibrium constant.
(C) Plateau modulus versus equilibrium constant. Also included is
theoretical data based on modified rubber elasticity theory with calculations
developed on theory by Parada and Zhao[27] on ideal reversible polymer networks. (D) Stress relaxation half-life
for each pH value. As the pH increases, the half-life of stress relaxation
decreases.We specifically compared our results
to those derived from rubber
elasticity theory that used a model for cross-link density in ideal
reversible networks developed by Parada and Zhao.[15,26,27] This model predicts increasing plateau moduli
as the equilibrium constant increases, which matches the trend seen
in our results (Figure C). Furthermore, the model indicates that the gains in the plateau
modulus taper as the equilibrium constant becomes sufficiently high.
In other words, as the cross-linking reaction approaches high conversion
(∼79% at pH 5 for our system, based on the equilibrium constant),
there are diminishing returns on the number of new elastically active
chains. Our results mirrored this diminished effect of high Keq on the plateau modulus. Although the predicted
trend matched our results, our measurements yielded lower values of
the storage modulus compared to the theory, indicating that more defects
may be present than those accounted for by the model.Interestingly,
while the plateau storage moduli decreased slightly
with pH, the crossover point of G′ and G″ showed a large increase from pH 3 to pH 7, which
is consistent with the increase in the reverse rate constant (Figure S8). Because the bonds are reversible,
a sufficiently slow rotational frequency allows the bonds to rearrange
fast enough to dissipate a majority of any stored energy in the polymer
backbone. This behavior is demonstrated in the low-frequency regions
when the shear loss modulus is higher than the shear storage modulus,
indicating a viscoelastic liquid (Figure A). As demonstrated by the kinetic rate data,
a more acidic pH significantly slows the reaction, meaning that the
bonds rearrange on a longer time scale. Thus, the hydrogels with slower
bond exchange kinetics displayed more elastic behavior at low frequencies,
and the crossover point decreased significantly. In fact, the crossover
points at pH 3 and pH 4 were small enough to be outside the measurement
range of the rheometer. Thus, to better understand how the bond exchange
rate of the cross-links impacts hydrogel properties, we performed
stress relaxation experiments (Figure S9). The breaking and re-forming of bonds allows the network to dissipate
stress, and the half-life of this dissipation is directly related
to the kinetics of the cross-linking reaction. The half-life of stress
relaxation decreased from 8410 s at pH 3 to 11.7 s at pH 7 (Figure D), indicating faster
exchange in the networks at elevated pH.To demonstrate the
pH effects on the bond exchange rate on the
bulk scale, we performed self-healing experiments. Because the bonds
are dynamic, when a defect in the network occurs, cross-links can
break and re-form across the defect. The time scale of this repair
depends on the rate constants for the cross-linking reaction. In the
case of these hydrogels, higher pH values corresponded to a relatively
rapid exchange of cross-links, while lower pH values corresponded
to a severely decreased rate of cross-link exchange. We therefore
fabricated two sets of hydrogels: (1) two hydrogels at pH 3 and (2)
two hydrogels at pH 7 (Figure ). Each hydrogel was dyed a separate color. The hydrogels
were then cut in half and matched with the half made at the same pH.
After 5 min, the hydrogels formed at pH 3 demonstrated no self-healing,
whereas the hydrogels formed at pH 7 clearly rejoined across the defect.
Furthermore, after 90 min, the hydrogels formed at pH 3 remained unhealed.
Additionally, a step strain experiment was performed on both the pH
3 and the pH 7 hydrogels (Figure S10).
On a 2° cone geometry, each hydrogel was subjected to alternating
oscillations at 1% and 1000% strain. The high strain regime disrupted
the network, and the low strain regime enabled self-healing of the
hydrogel. Similar to the qualitative self-healing study, the pH 7
hydrogels demonstrated complete self-healing while the pH 3 hydrogels
did not (Figure S10). The kinetic differences
seen between the low and high pH environments show a clear difference
in the macroscopic self-healing ability of these hydrogels.
Figure 4
Self-healing
ability for pH 3 (top) or pH 7 (bottom) hydrogels.
Two hydrogels for each pH were dyed, cut, and the opposing halves
were joined. After 5 min, the pH 7 hydrogels healed the defect, and
after 90 min, the pH 3 hydrogels were still unhealed.
Self-healing
ability for pH 3 (top) or pH 7 (bottom) hydrogels.
Two hydrogels for each pH were dyed, cut, and the opposing halves
were joined. After 5 min, the pH 7 hydrogels healed the defect, and
after 90 min, the pH 3 hydrogels were still unhealed.
Modulating Hydrogel Stability and Release with Biologically
Relevant pH
An important property of dynamic covalent hydrogels
is their stability in solution, as the reversible bonds allow the
polymer to detach from the hydrogel network and diffuse into solution.
To that end, we performed two studies investigating the stability
of these hydrogels. We first measured the stability of the hydrogels
at each pH value while surrounded by buffer. This environment allowed
the hydrogels to swell indefinitely, which increased the rate at which
polymer can dissociate from the hydrogel (Figure A). As the hydrogel swells, the local concentration
of cross-linking groups is decreased, shifting the equilibrium of
the reaction to a relatively higher concentration of unbound cross-links
(reactants) versus formed cross-links (products). Additionally, this
decrease in cross-linking density acts a positive feedback loop, wherein
the decrease in cross-links leads to more swelling, which leads to
a further decrease in cross-linker concentration. Thus, when considering
the swollen mass of a hydrogel, it is anticipated there will be an
initial increase in mass as the volume of the hydrogel increases,
but the mass will eventually decrease after a significant portion
of the polymer diffuses away.
Figure 5
(A) Schematic for the two mass loss studies.
In the unrestricted
swelling test, a hydrogel was placed in a bath of buffer. In the restricted
swelling test, a hydrogel was formed in the bottom of a microcentrifuge
tube. (B) Unrestricted swelling mass loss study. As the pH increases,
the hydrogel fully dissolves in a shorter amount of time. The inset
shows the first 300 min of the study, highlighting that the maximum
swollen mass decreases as the pH increases. (C) Swelling restricted
mass loss. This restriction dramatically increases the amount of time
the hydrogels take to dissolve into solution. The pH 7 hydrogels still
lost mass at a faster rate than the pH 3 hydrogels. (D) Encapsulated
BSA tagged with fluorescein was released from either a pH 3 or a pH
7 hydrogel over time. The pH 7 hydrogel released the encapsulated
protein at a significantly faster rate.
(A) Schematic for the two mass loss studies.
In the unrestricted
swelling test, a hydrogel was placed in a bath of buffer. In the restricted
swelling test, a hydrogel was formed in the bottom of a microcentrifuge
tube. (B) Unrestricted swelling mass loss study. As the pH increases,
the hydrogel fully dissolves in a shorter amount of time. The inset
shows the first 300 min of the study, highlighting that the maximum
swollen mass decreases as the pH increases. (C) Swelling restricted
mass loss. This restriction dramatically increases the amount of time
the hydrogels take to dissolve into solution. The pH 7 hydrogels still
lost mass at a faster rate than the pH 3 hydrogels. (D) Encapsulated
BSA tagged with fluorescein was released from either a pH 3 or a pH
7 hydrogel over time. The pH 7 hydrogel released the encapsulated
protein at a significantly faster rate.Each
of the hydrogels at pH 3–7 demonstrated the trend in
mass loss described above (Figure B). As the pH increased, the rate of hydrogel mass
loss also increased. For instance, at pH 3, it took 2200 min for complete
dissolution of the hydrogel, whereas at pH 7, it only took 450 min.
In addition to faster bond exchange kinetics at pH 7, the reaction
possesses a lower equilibrium constant, as previously mentioned. For
a given polymer to diffuse away, either all of the functional groups
for a single macromer must be dissociated, or a section of bound macromers
must have all of their functional groups dissociated from the hydrogel
network. A lower equilibrium constant means that fewer bound cross-links
are present in the first place. Additionally, the maximum mass decreased
as the pH increased, ranging from approximately a 150% increase in
mass for the pH 3 hydrogels to virtually no increase for the pH 7
hydrogels. As discussed previously, as the hydrogel swells, the local
cross-linking decreases. Because the cross-links are more stable at
lower pH, there is more time for the polymer chains to stretch without
becoming detached from the network. Conversely, at high pH values,
the cross-links can rapidly break as the polymer chains stretch, leading
to polymer diffusing into solution at an increased rate.To
validate the contributions of swelling toward hydrogel mass
loss, a swelling restricted mass loss study was also performed. In
this study, 50 μL hydrogels using pH 3 and pH 7 buffers were
formed in the bottom of microcentrifuge tubes, and 1.3 mL of the corresponding
buffer was placed above each hydrogel. This experimental setup allowed
diffusion of the polymer to occur only in one direction, and the walls
of the microcentrifuge tube severely restricted the ability of the
hydrogel to swell (Figure A). As stated previously, swelling in these reversible covalent
hydrogels led to accelerated mass loss. However, when swelling was
restricted, both hydrogels remained after 100 h (Figure C), whereas no hydrogel lasted
longer than 38 h in the swelling unrestricted study. Additionally,
the pH 7 hydrogels still lost mass at a faster rate than the pH 3
hydrogels, although the difference between the two was significantly
less than in the swelling unrestricted study. A control hydrogel
cross-linked with an irreversible thiol-ene linkage demonstrated virtually
no mass loss in an identical experiment (Figure S11). Based on these results, swelling restriction may be used
as a strategy to control the lifespan of these hydrogels.Using
this swelling restricted hydrogel system, we then determined
the release profile of an encapsulated model protein, BSA-fluorescein,
at pH 3 and pH 7, by measuring the fluorescence of released protein
in the surrounding buffer. Due to the reversible nature of the cross-linking,
there are two potential methods of release. The first is diffusion
of the protein through the hydrogel, which is dictated by the size
of the encapsulated protein and the mesh size of the hydrogel. If
the encapsulated protein is larger than the mesh size of the hydrogel,
it is possible to suppress any diffusional release. The second release
method is through degradation of the hydrogel, as the reversible cross-linking
allows the polymer to diffuse away from the hydrogel into the surrounding
solution. Our results show that the protein was released at a much
faster rate in the pH 7 hydrogels versus the pH 3 hydrogels (Figure D). Multiple factors
contribute to this drastic difference in release. First, the pH 7
hydrogels have a lower equilibrium constant and thus a lower cross-linking
density. This leads to an increase in the mesh size of the hydrogel,
which allows diffusion of encapsulated protein to occur at a faster
rate. Additionally, since the cross-links of the pH 7 hydrogel rearrange
much more rapidly than in the pH 3 hydrogel, the pH 7 cross-links
can break and re-form around the encapsulated protein much faster.
In essence, this would increase the effective rate of diffusion for
the protein, as the mobility of the protein is less restricted. Finally,
as the mass loss study showed that the pH 7 hydrogels lose mass at
a faster rate than the pH 3 hydrogels, any encapsulated protein in
the surface portion of the hydrogel that diffuses away from the bulk
hydrogel will dissolve into solution. In combination, these factors
play a role in the much more rapid protein release profile of the
pH 7 hydrogels. In contrast, the release profiles of irreversibly
cross-linked thiol-ene hydrogels showed no differences in release
at either pH 3 or pH 7, and little release occurred overall for both
pH values (Figure S12). These control hydrogels
remained static over the course of the experiment, and the high cross-link
conversion enabled the mesh size in the hydrogel to approach the minimum
mesh size achievable. Taken together, these results demonstrate that
pH is an effective manipulator of protein release in these reversible
thia-Michael addition cross-linked hydrogels.
Conclusion
In this work, we demonstrated the effects of pH on the kinetics,
mechanics, and protein release of reversible thia-Michael addition
cross-linked hydrogels. Although both the forward and reverse rate
constants increased at elevated pH, the equilibrium constant decreased,
leading to faster mass loss and release of an encapsulated model protein.
The drastic difference in bond exchange kinetics within these hydrogels
at pH 3 and pH 7 are promising for applications such as therapeutic
release within the gastrointestinal tract, where such pH changes are
present. In addition, the strategy of controlling bond exchange kinetics
to modulate release offers a complementary mechanism to other pH-responsive
hydrogels, which rely on changes in polymer swelling or erosion alone.
In summary, these results demonstrate how pH can be leveraged as an
effective way to control the properties of hydrogels cross-linked
by reversible thia-Michael addition and offer fundamental insight
into kinetic control of dynamic covalent hydrogels.
Authors: Junzhe Lou; Fang Liu; Christopher D Lindsay; Ovijit Chaudhuri; Sarah C Heilshorn; Yan Xia Journal: Adv Mater Date: 2018-04-23 Impact factor: 30.849
Authors: Bruno Marco-Dufort; Jack Willi; Felipe Vielba-Gomez; Francesco Gatti; Mark W Tibbitt Journal: Biomacromolecules Date: 2020-09-11 Impact factor: 6.988
Authors: Grayson L Jackson; Joseph M Dennis; Neil D Dolinski; Michael van der Naald; Hojin Kim; Christopher Eom; Stuart J Rowan; Heinrich M Jaeger Journal: Macromolecules Date: 2022-07-20 Impact factor: 6.057