The present work reports on the development of photo-cross-linkable gelatins sufficiently versatile to overcome current biopolymer two-photon polymerization (2PP) processing limitations. To this end, both the primary amines as well as the carboxylic acids of gelatin type B were functionalized with photo-cross-linkable moieties (up to 1 mmol/g) resulting in superior and tunable mechanical properties (G' from 5000 to 147000 Pa) enabling efficient 2PP processing. The materials were characterized in depth prior to and after photoinduced cross-linking using fully functionalized gelatin-methacrylamide (gel-MOD) as a benchmark to assess the effect of functionalization on the protein properties, cross-linking efficiency, and mechanical properties. In addition, preliminary experiments on hydrogel films indicated excellent in vitro biocompatibility (close to 100% viability) both in the presence of MC3T3 preosteoblasts and L929 fibroblasts. Moreover, 2PP processing of the novel derivative was superior in terms of applied laser power (≥40 vs ≥60 mW for gel-MOD at 100 mm/s) as well as post-production swelling (0-20% vs 75-100% for gel-MOD) compared to those of gel-MOD. The reported novel gelatin derivative (gel-MOD-AEMA) proves to be extremely suitable for direct laser writing as both superior mimicry of the applied computer-aided design (CAD) was obtained while maintaining the desired cellular interactivity of the biopolymer. It can be anticipated that the present work will also be applicable to alternative biopolymers mimicking the extracellular environment such as collagen, elastin, and glycosaminoglycans, thereby expanding current material-related processing limitations in the tissue engineering field.
The present work reports on the development of photo-cross-linkable gelatins sufficiently versatile to overcome current biopolymer two-photon polymerization (2PP) processing limitations. To this end, both the primary amines as well as the carboxylic acids of gelatin type B were functionalized with photo-cross-linkable moieties (up to 1 mmol/g) resulting in superior and tunable mechanical properties (G' from 5000 to 147000 Pa) enabling efficient 2PP processing. The materials were characterized in depth prior to and after photoinduced cross-linking using fully functionalized gelatin-methacrylamide (gel-MOD) as a benchmark to assess the effect of functionalization on the protein properties, cross-linking efficiency, and mechanical properties. In addition, preliminary experiments on hydrogel films indicated excellent in vitro biocompatibility (close to 100% viability) both in the presence of MC3T3 preosteoblasts and L929 fibroblasts. Moreover, 2PP processing of the novel derivative was superior in terms of applied laser power (≥40 vs ≥60 mW for gel-MOD at 100 mm/s) as well as post-production swelling (0-20% vs 75-100% for gel-MOD) compared to those of gel-MOD. The reported novel gelatin derivative (gel-MOD-AEMA) proves to be extremely suitable for direct laser writing as both superior mimicry of the applied computer-aided design (CAD) was obtained while maintaining the desired cellular interactivity of the biopolymer. It can be anticipated that the present work will also be applicable to alternative biopolymers mimicking the extracellular environment such as collagen, elastin, and glycosaminoglycans, thereby expanding current material-related processing limitations in the tissue engineering field.
Gelatin and its derivatives are of specific
interest in the field
of biomaterials because they are characterized by high biocompatibility
combined with excellent cell-interactive properties due to the presence
of Arg-Gly-Asp (RGD) motifs in the gelatin backbone.[1−3] In addition, gelatin is derived from collagen, which is a major
component of the natural extracellular matrix (ECM), rendering it
an ideal ECM mimic.[4−7] Furthermore, it is a cost-effective,[8,9] food and drug
administration (FDA) approved,[10] bioresorbable
polymer that can be degraded enzymatically.[5,6,9,11,12]To date, one of the most commonly applied hydrogel
materials for
biofabrication and tissue engineering purposes is methacrylamide-modified
gelatin (gel-MOD) or gelatin-methacryloyl hydrogels (gel-MA), which
can be obtained by functionalization of the primary amines of the
(hydroxy)lysine and ornithine side groups present in gelatin with
methacrylic anhydride.[4,13−22] (Figure A) As a
result, a photo-cross-linkable derivative is obtained that is suitable
for laser-based rapid prototyping techniques including two photon
polymerization (2PP).[5,6,23−25] Important material limitations remain, however, in
terms of mechanical and swelling properties after cross-linking. Consequently,
several strategies were proposed to tackle this issue: varying the
degree of substitution, grafting of other biomolecules,[26] the formation of interpenetrating networks,[27] or combining the gelatin with a second (synthetic)
material (e.g., polyesters) to increase the overall stiffness of the
final construct.[28−30]
Figure 1
(A, B) Reaction scheme of the synthesis of gel-MOD (A)
and gel-MOD-AEMA
(B) with the corresponding equations to calculate the degree of substitution
(DS). (C) 1H NMR spectrum of gel-MOD-AEMA with the characteristic
methacrylamide signals at 5.75 and 5.51 ppm depicted in red, the methacrylate
signals at 6.20 and 5.80 ppm depicted in green, and the reference
signal corresponding to the -CH3 groups present in valine,
leucine, and isoleucine at 1.01 ppm depicted in black. (D) Influence
of gel-MOD concentration on the carboxylic acid DS of gel-MOD-AEMA.
(A, B) Reaction scheme of the synthesis of gel-MOD (A)
and gel-MOD-AEMA
(B) with the corresponding equations to calculate the degree of substitution
(DS). (C) 1H NMR spectrum of gel-MOD-AEMA with the characteristic
methacrylamide signals at 5.75 and 5.51 ppm depicted in red, the methacrylate
signals at 6.20 and 5.80 ppm depicted in green, and the reference
signal corresponding to the -CH3 groups present in valine,
leucine, and isoleucine at 1.01 ppm depicted in black. (D) Influence
of gel-MOD concentration on the carboxylic acid DS of gel-MOD-AEMA.2PP of naturally derived polymers has gained
increasing interest
for the development of porous constructs with (sub)micrometer-scaled
features for tissue engineering purposes.[5,6,23,31] Unfortunately,
laser-based processing of natural polymers mimicking the ECM is often
concomitant with limitations including swelling-related deformations
and compromised spatial resolution. As an example, Ovsianikov et al.
previously performed 2PP on gelatin-based hydrogels (gel-MOD/gel-MA)
at relatively high concentrations (20 wt %) with and without cells
to explore the tissue engineering potential of the developed scaffolds.[5,6,23] However, the reported structures
did not fully match the implemented CAD because of postprocessing
aberrations as a consequence of swelling and inferior mechanical properties.[5] Because these scaffolds were fabricated from
precursor concentrations close to the gelatin solubility limit, no
substantial improvement in CAD model reproducibility can be realized
by increasing the gelatin concentration.With the aim of overcoming
the limitations described above to improve
the two-photon polymerization potential of gelatin hydrogels, we report
a novel photo-cross-linkable gelatin. In this respect, the two-photon
polymerization potential refers to several aspects of 2PP including
the minimally required spatiotemporal energy to obtain reproducible
structures. This spatiotemporal energy is defined both by the applied
laser power as well as the scan speed of the voxel. Additionally,
the two-photon polymerization potential also refers to the mimicry
between the applied CAD and the final structure obtained. This feature
is determined both by postproduction swelling of the hydrogel during
the development process as well as the mechanical properties of the
material. Indeed, a higher stiffness results in superior load-bearing
capabilities, rendering the support of smaller features possible.
Additionally, reproducible structuring at lower concentrations can
also be considered as part of the “2PP potential”. As
a consequence, we report on a novel photo-cross-linkable gelatin possessing
a higher number of cross-linkable functionalities compared to those
of the gold standard gel-MOD. We anticipate that, by introducing additional
cross-linkable functionalities, the hydrogels of this novel derivative
will be characterized by a higher network density after cross-linking
and outperform currently reported gelatin derivatives[32−35] (e.g., gel-MOD/gel-MA, gel-SH, ...) in 2PP potential.
Materials and Methods
Materials
Gelatin type B (isolated
from bovine hides
by an alkaline process) was supplied by Rousselot (Ghent, Belgium).
Methacrylic anhydride, 1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide
(EDC), and deuterium oxide were purchased at Sigma-Aldrich (Diegem,
Belgium) and used as received. Dimethyl sulfoxide (DMSO) (99.85%)
and N-hydroxysuccinimide (98%) (NHS) were purchased
at Acros (Geel, Belgium). 2-Aminoethyl methacrylate hydrochloride
(AEMA·HCl) was obtained from Polysciences (Conches, France),
and Irgacure 2959 (1-[4-(2-hydroxyethoxy)-phenyl]-2-hydroxy-2-methyl-1-propane-1-one)
was purchased at BASF (Antwerp, Belgium). The dialysis membranes Spectra/Por
(MWCO 12.000–14.000 g/mol) were obtained from Polylab (Antwerp,
Belgium).
Methods
Methacrylation of the Primary Amines in Gelatin
B
The
methacrylation of gelatin B, with the aim of obtaining gel-MOD, was
performed as described in previous reports.[36] Briefly, 100 g of gelatin B (38.5 mmol amines) was dissolved in
1 L of phosphate buffer (pH 7.8) at 40 °C under continuous mechanical
stirring followed by the addition of 2.5 equiv of methacrylic anhydride
(14.34 mL, 96.25 mmol) and reacted for 1 h. Next, the reaction mixture
was diluted with 1L double distilled water (DDW) (ρ = 18.2 MΩ
cm) and dialyzed against distilled water (MWCO 12000–14000
g/mol) over 24 h at 40 °C (water changed 5 times) followed by
freezing and lyophilization (Christ freeze-dryer alpha I-5).
Methacrylation
of the Carboxylic Acids Present in Gel-MOD
Fully functionalized
gel-MOD (10 g, 10.980 mmol carboxylic acids)
was dissolved in 300 mL of dry DMSO at 50 °C under an inert atmosphere
at reflux conditions. After complete dissolution, 1.2 equiv of 1-ethyl-3-(3-(dimethylamino)propyl)carbodiimide
(EDC) (2.525 g; 13.176 mmol) and 1.5 equiv N-hydroxysuccinimide
(NHS) (1.895 g; 16.48 mmol) were added together with 50 mL of dry
DMSO. After 30 min, 1.5 equiv of 2-aminoethyl methacrylate hydrochloride
(AEMA·HCl) was added (4.546 g, 21.96 mmol) together with 0.01
equiv (18 mg, 0.1098 mmol) of 4-tert-butyl catechol
(i.e., inhibitor) together with 50 mL of dry DMSO. The solution was
shielded from light and stirred overnight at 50 °C followed by
precipitation in a 10-fold excess of cold acetone and filtered on
a glass filter no. 4. The precipitate was redissolved in DDW and dialyzed
using distilled water (MWCO 12000–14000 g/mol) at 40 °C
over 24 h (water changed 5 times) followed by freezing and lyophilization.
The obtained gelatin derivative will be referred to as gel-MOD-AEMA
throughout the rest of the paper.
NMR Spectroscopy
The modification of gelatin was quantified
via 1H NMR spectroscopy (Bruker WH 500 MHz) using D2O as solvent at elevated temperature (40 °C). The integrations
characteristic for methacrylamide (5.5 ppm (s,1H) and 5.51 ppm (s,
1H)) (gel-MOD) or methacrylates (6.20 ppm (s, 1H) and 5, 80 (s, 1H)
(gel-MOD-AEMA) were compared to the integration corresponding with
the inert hydrogens of Val, Leu, and Ile at 1.01 ppm (18H) according
to the following formula (based on the amino-acid composition).
Molecular Weight Determination via Gel Permeation Chromatography
(GPC)
GPC measurements were performed on a Waters 610 fluid
unit and a Waters 600 control unit equipped with a Waters 410 RI detector.
Samples were prepared by dissolving approximately 10 mg of material
in 1 mL of DMSO. The mobile phase consisted of DMSO in the presence
of 0.2 M LiCl. All samples were measured at 40 °C. A five point
calibration curve was prepared using Pullulan standards. The obtained
results were analyzed using Waters Empower 2 software.
Physical
Gelation Study via Differential Scanning Calorimetry
Hydrogel
building block solutions (10 w/v %, 40 mg each) in double
distilled water were placed into a hermetic Tzero pan (TA Instruments,
Zellik, Belgium). As a reference, an empty hermetic Tzero pan was
applied. The samples were subjected to a preparatory program as described
by Prado et al.[37] First, a temperature
ramp of 20.00 °C/min was applied to reach a temperature of 60.00
°C. The sample was stabilized for 20 min. Next, a ramp of 10.00
°C/min was applied to cool the sample to a temperature of 15.00
°C followed by stabilizing the samples at 15 °C for 20 min.
Then, a temperature ramp of 20.00 °C/min was applied until a
temperature of −10.00 °C was reached, which was followed
by a final ramp of 5.00 °C/min until a temperature of 60.00 °C
was obtained. All measurements were performed on a TA Instruments
Q 2000 with an RSC 500 cooler (Zellik, Belgium). The results were
analyzed using Q series software. Ten w/v % solutions were applied
for most characterization experiments as they enable straightforward
sample manipulation where both physical and chemical cross-linking
can clearly be observed.
Preparation of Gelatin Films via Film Casting
The obtained
gelatin derivatives gel-MOD and gel-MOD-AEMA (0.250–0.750 g)
were dissolved in 5 mL of phosphate buffered saline (PBS, pH 7.4)
at 40 °C to obtain concentrations of 5, 10, and 15 w/v %. After
complete dissolution, 2 mol % (relative to the amount of double bonds)
of an 8 mg/mL stock solution of Irgacure 2959 in DDW was added to
the mixture followed by degassing for at least 30 s. Next, the heated
solution was injected between two parallel glass plates covered with
a thin Teflon sheet and separated by a 1 mm thick silicone spacer.
Next, the molds were stored in the fridge for 60 min to induce physical
gelation. Finally, the hydrogel was irradiated from both sides with
UV-A light (365 nm, 2 × 4 mW/cm2) for 30 min. From
the obtained films, 3 samples with a diameter of 0.8 cm were punched
to determine the gel fraction. The remaining films were incubated
in 20 mL of DDW at 37 °C over 48 h to obtain equilibrium swelling.
Gel Fraction and Swelling Determination
The gel fraction
was determined by freeze-drying films with a diameter of 0.8 cm immediately
after cross-linking. Next, the dry mass of these films was determined
(md,1), and the films were incubated in
DDW at 37 °C for 24 h. After equilibrium swelling, the films
were freeze-dried again, and the dry mass was determined again (md,2). The gel fraction was determined by comparing
the final dry mass to the original one such thatAll measurements were performed in triplicate,
and the standard deviation was calculated.The equilibrium swelling
ratio was determined using circular films with a diameter of 0.8 cm
punched from equilibrium swollen sheets. Before determining the swollen
mass (ms) of the films, the excess water
on the surface was gently removed using tissue paper. Afterward, the
samples were freeze-dried to determine the dry mass (md). The swelling ratio was then calculated using the formula
Rheological Monitoring of the Cross-Linking
Reaction and Determining
the Mechanical Properties of Hydrogel Films
A rheometer-type
Physica MCR-301 (Anton Paar, Sint-Martens-Latem, Belgium) with a parallel
plate geometry (upper plate diameter of 25 mm) was applied. For monitoring
the cross-linking reaction, 300 μL of each solution containing
2 mol % Irgacure 2959 (relative to the amount of cross-linkable functionalities)
was placed between the plates using a gap setting of 0.35 mm. The
edges were trimmed and sealed using silicone grease (Bayer, Sigma-Aldrich,
Diegem, Belgium) to prevent sample drying. An oscillation frequency
of 1 Hz and a strain of 0.1% were applied as these values are within
the linear viscoelastic range as determined by isothermal measurements
(37 °C) of the storage (G′) and loss
moduli (G″) as a function of deformation at
a constant frequency (1 Hz) and varying strain (0.01–10%).
Next, the solutions were either cooled to 5 °C to induce physical
gelation, which was monitored during 10 min prior to irradiation or
immediately irradiated at 37 °C using UV-A light (10 min, EXFO
Novacure 2000 UV light source at 365 nm using a fluence of 500 mW/cm2), followed by 2 min of postcuring monitoring. To assess the
effect of the irradiation dose on the final mechanical properties,
the same protocol was performed using 215, 360, or 500 mW/cm2 fluence, and the final storage modulus was plotted. The obtained
fluence was obtained by entering a UV dose of 1500, 2500, or 3500
mW/cm2 on the light source followed by measuring the actual
value at the site of cross-linking using a smart UV intensity meter
(Accu-Cal-50, DYMAX).Rheology on thin films was performed by
cutting equilibrium swollen gelatin films (1 mm thick, 48 h in double
distilled water at 37 °C) with a diameter of 14 mm and placing
them between the spindle (d = 15 mm) and the bottom
plate of the rheometer at 37 °C. Next, the spindle was lowered
with increments of 25 μm until a normal force of around 0.6–1
N was observed to ensure proper contact between the thin film and
both plates. Then, the storage modulus was monitored at 37 °C
using an amplitude of 0.1% over a frequency range of 0.01–10
Hz.
Enzymatic Degradation Assay
The in vitro degradation
of the hydrogels was studied by freeze-drying thin films (1 mm thick,
0.8 cm diameter) followed by determining their initial dry mass. Next,
the samples were incubated in 0.5 mL of Tris–HCl buffer (0.1
M, pH 7.4) in the presence of 0.005% w/v NaN3 and 5 mM
CaCl2 at 37 °C. After 1 h, 0.5 mL of collagenase (200
U/ml) dissolved in Tris–HCl buffer was added. At different
time points, enzyme degradation was inhibited through the addition
of 0.1 mL of EDTA solution (0.25 M) and subsequent cooling of the
sample on ice. Next, the hydrogels were washed three times during
10 min with ice-cooled Tris–HCl buffer and three times with
DDW; after freeze-drying, the gel fraction of the samples for each
time point was determined.
Cell Lines
Mouse fibroblast cells
(L929) obtained from
Sigma and mouse calvaria-derived preosteoblast cells (MC3T3-E1 Subclone
4) from ATCC-LGC Standards were used for cell viability testing. The
L929 cells were cultured in Dulbecco’s modified Eagle’s
medium (DMEM) with 4500 mg/L of glucose, l-glutamine, and
sodium bicarbonate without sodium pyruvate (Sigma). The MC3T3-E1 cells
were expanded in alpha minimum essential medium (aMEM) containing
ribonucleases, deoxyribonucleases, and 2 mM l-glutamine in
the absence of ascorbic acid (Gibco). Both media were supplemented
with 10% fetal bovine serum (Sigma) and 1% of 10000 U/mL Penicillin/Streptomycin
(Lonza). The cells were cultivated in an incubator in a humid atmosphere
at 37 °C containing 5% carbon dioxide. The cell medium was refreshed
every other day.
Metabolic Activity Assay
Ten w/v
% solutions of the
gelatin derivatives were prepared in PBS using 2 mol % of Irgacure
2959. For each sample, an aliquot of 15 μL was pipetted onto
a Teflon plate, and a glass coverslip activated with 3-(trimethoxysilyl)propyl
methacrylate was pressed on top to evenly cover the glass surface.
Afterward, samples were stored at 4 °C for 1 h to induce physical
cross-linking followed by 10 min UV-A-induced cross-linking (365 nm,
4 mW/cm2). Next, samples were removed from the Teflon surface,
transferred to a 12-well plate, and soaked in medium. To sterilize
the coated samples, UV–C irradiation (254 nm, 30 min) was applied
prior to storage in the incubator overnight (5% carbon dioxide, 37
°C) in appropriate medium to remove any un-cross-linked material
and induce equilibrium swelling in all samples. Next, all medium was
aspirated from the samples, and 50 μL of medium containing either
20000 MC3T3-E1 or L929 cells was seeded per well. After 30 min of
settling time, 1 mL of appropriate medium was added. During further
culturing, the appropriate cell medium was replaced every other day.
At specific time points (1, 2, 3, and 7 days), the metabolic activity
was assessed using a Presto Blue Cell Viability test (Life technologies).
For these tests, Presto Blue, a Resazurin-based reagent, was diluted
1:10 with appropriate medium, and 500 μL of solution was applied
per well followed by incubation for 1 h. In the presence of viable
cells, resazurin is reduced, thereby becoming highly fluorescent.
From each well, 100 μL of solution was transferred to a 96-well
plate for fluorescence measurements, and the remaining cell medium
was aspirated and replaced by new appropriate medium followed by incubation.
The fluorescence was measured with a plate reader (Synergy Bio-Tek,
excitation 560 nm, emission 590 nm). After subtraction of sample blank
(diluted PrestoBlue incubated for 1 h in appropriated medium), the
different substrates were compared to each other and to the “dead
cell” control (cells in 50% DMSO and 50% medium for 1 h). The
fluorescence value obtained for the cells cultivated on tissue culture
plastic (TCP) after 7 days of culture was considered as 100% viability.
Next, all fluorescence values were normalized against this control
and expressed relative to this 100% viability.
Two-Photon Polymerization
of Gelatin Derivatives
Two-photon
polymerization experiments were performed on a setup previously reported.[23,38] A water immersion objective (C-Achroplan 32×, NA = 0.85, water
immersion, Zeiss) was used in combination with a femtosecond pulsed
NIR laser with 70 fs pulse duration. The scan speed was set at 100
mm/s for all samples. The CAD design was sliced with a layer spacing
of 1 μm and hatched with 0.5 μm line spacing. In every
layer, the focal spot was scanned in both the x and y directions for all samples. Average laser powers varying
from 10 to 100 mW in 5, 10, and 15 w/v % hydrogel precursor solutions
in DMEM medium containing 2 mol % P2CK as a two-photon initiator (relative
to the amount of double bonds present) were applied. To prevent sample
drying, approximately 50 μL of each solution was placed in a
microwell (μ-Dish 35 mm, Ibidi) consisting of two glass plates
separated by a silicon spacer with a diameter of 6 mm and a thickness
of 1 mm. The bottom plate was silanized with 3-(trimethoxysilyl)propyl
methacrylate to enable sufficient attachment.[23] After structuring, 2 mL of PBS was added to each sample, and the
samples were stored in the incubator at 37 °C for at least 24
h to wash away all un-cross-linked material and induce equilibrium
swelling of the microstructures.
Swelling of Microstructures
For each hydrogel building
block concentration, an array of ten cubes was structured (each 100
× 100 × 100 μm) at a scan speed of 100 mm/s using
average laser powers in the range from 10 up to 100 mW in steps of
10 mW. Laser scanning microscopy (LSM 700, Carl Zeiss) images using
the same objective as for structuring were obtained for structure
analysis. The surface of the bottom part of the structures where swelling
is constrained due to attachment to the glass slide was analyzed using
ImageJ software and compared to the surface of the top of the structures,
which is not constrained in swelling by the glass slide after 24 h
incubation in PBS buffer.
Statistical Analysis
To evaluate
the statistical significance
of the obtained data, we first performed an F-test on two groups of
variables to determine whether their variances are different. Next,
a student t test was performed. Two values are considered
significantly different when p < 0.05.
Results
and Discussion
The aim of the present paper is the development
of novel photo-cross-linkable
gelatin derivatives resolving swelling-related deformations and compromised
spatial resolution as the two most persistent issues in laser-based
processing of hydrogel building blocks. The amount of photo-cross-linkable
functionalities in gel-MOD is determined by the amount of primary
amine functions and is thus limited. Therefore, we anticipated that
an increase in photoreactive functionalities using the gelatin carboxylic
acids would positively affect the cross-link density of the resulting
hydrogels.
Methacrylation of the Gel-MOD Carboxylic Acids: Reaction Conditions
Study
Starting from gel-MOD with a degree of substitution
(DS) of 97% (0.37 mmol methacrylamides/g of gelatin), we targeted
the partial modification of the carboxylic acid functionalities present
in the glutamate and aspartate side chains. To this end, carboxylic
acid activation was performed via conventional carbodiimide coupling
chemistry using ethyl(dimethylaminopropyl) carbodiimide (EDC). N-Hydroxysuccinimide (NHS) was also added to stabilize the
activated carboxylic acid groups. Next, a nucleophilic substitution
was realized using the primary amine present in 2-aminoethyl methacrylate
(AEMA). As a result, both methacrylate as methacrylamide functionalities
are introduced to gelatin (Figure B). The DS of
the obtained derivatives was determined via proton NMR spectroscopy
by comparing the integration of the characteristic methacrylate signals
at 6.20 and 5.80 ppm with the reference signal for valine, leucine
and isoleucine at 1.01 ppm (Figure C). The integration of this reference signal corresponds
to 18 protons and a total of 0.3836 mol/100 g of gelatin.[18] Because the methacrylate signal corresponds
to two protons, and a total of 0.1098 mol/100 g of Asp and Glu is
present in gelatin type B, the DS can be calculated using the formula
depicted in Figure B.Variation of the selected reaction conditions led to gel-MOD-AEMA
derivatives with a different carboxylic acid DS. Experiments indicated
that rather than increasing the amount of added reagents (data not
shown), the gelatin concentration of the reaction mixture provides
control over the DS. Indeed, a decreasing amount of methacrylate functions
of 56% (0.60 mmol methacrylates/g of gelatin) to 35% (0.38 mmol methacrylates/g
of gelatin) was obtained when increasing the gel-MOD concentration
from 2.5 to 10 w/v % in the reaction mixture (Figure D). This trend is a consequence of the superior
gelatin chain mobility in DMSO at lower concentrations (compare the
concentration-dependent viscosity).[39] As
a result, the accessibility of the carboxylic acids is increased,
making them more prone to react.[39]Comparing the amount of cross-linkable double bonds of gel-MOD
to gel-MOD-AEMA, it can be concluded that the proposed gelatin functionalization
scheme enables a tripling of the total amount of cross-linkable functionalities
(0.99 mmol/g of gel-MOD-AEMA vs 0.37 mmol/g of gel-MOD).The
original aim of the newly developed gel-MOD-AEMA was to obtain
higher cross-linking densities to reduce postproduction swelling and
improve the mechanical properties of the resulting hydrogels in comparison
to gel-MOD. Therefore, all further experiments throughout the paper
will be performed using gel-MOD-AEMA with the highest carboxylic acid
DS (i.e., 56%).As the proposed functionalization
scheme involves the reaction
of gelatin with the primary amine functionalities of AEMA, gel permeation
chromatography measurements were performed to reveal possible effects
on the molecular weight. The results indicate that the influence of
carboxylic acid modification on the molecular weight can be considered
moderate in comparison to the hydrolysis occurring during the established
primary amine modification procedure to obtain gel-MOD (Table ).
Table 1
Effect of Functionalization on the
Gelatin Molecular Weight As Determined by Gel Permeation Chromatography
gelatin type B
gel-MOD
gel-MOD-AEMA
Mn (Da)
47900
35400
32800
Mw (Da)
97900
90600
77500
ĐM
2.04
2.56
2.36
Influence
of the Chemical Modification of Gelatin on the Physical
and Covalent Cross-Linking Properties
Determination of the Physical
Gelation Behavior of Functionalized
Gelatins via Differential Scanning Calorimetry
Gelatin is
a protein that exhibits upper critical solution temperature (UCST)
behavior. The material forms collagen-like triple helices below the
UCST resulting in the formation of a physical network. The UCST is
influenced by several key factors including the polymer molecular
weight, the hydrophilicity/hydrophobicity, and the DS (i.e., the number
of incorporated functionalities).[40] Visual
observations of the herein-developed materials indicated that, in
contrast to unmodified gelatin and gel-MOD, solutions of gel-MOD-AEMA
at concentrations of 15 w/v % and below remain soluble at room temperature
rather than forming a physical gel. The latter observation was further
substantiated by differential scanning calorimetry (DSC) experiments
following a protocol previously described in the literature.[37,39]Similar melting temperatures (∼30 °C) were observed
for both gelatin derivatives and pristine gelatin type B (Figure ). The latter implies
that triple helix formation occurs for all evaluated gelatin derivatives.[37,41] However, large differences in denaturation enthalpy could be distinguished
(Figure B). The denaturation
enthalpy is proportional to the number of hydrogel bonds associated
with triple helix formation.[42] Indeed,
introduction of methacrylamides into the side chains of gelatin thereby
forming gel-MOD resulted in a 7% decrease in intramolecular interactions
including hydrogen bonds. The introduction of both methacrylamides
and methacrylates in gel-MOD-AEMA resulted in a drastic decrease (70%)
in denaturation enthalpy (see Figure B). This drastic decrease can potentially be attributed
to several factors. First, it is known that variation of the average
molecular weight of gelatin alters the physical gelation properties.
However, because GPC measurements indicated only moderate hydrolysis,
the contribution of the molecular weight to the denaturation enthalpy
can be anticipated to be limited. A more important effect can be attributed
to the functionalization of the side chains thereby hampering efficient
triple helix formation. The observed effect is more pronounced for
gel-MOD-AEMA in comparison to that for gel-MOD because more carboxylic
acids are present in gelatin in comparison to primary amines. As a
consequence, the introduced functionalities will interfere more in
triple helix formation resulting in the formation of less extended
junction zones (shorter helices). The latter is in accordance with
literature reports illustrating that the DS of gelatin can influence
its physical gelation properties.[32,33,40] For the herein developed gel-MOD-AEMA, the amount
of physical cross-links, as revealed by DSC, apparently is insufficient
to induce gel-like behavior as observed by the inverted tube method
(data not shown). As a consequence, the derivative exhibits liquid-like
behavior when solubilized in an aqueous environment at room temperature.
To the best of our knowledge, this is the first report describing
such behavior for a gelatin derivative without the introduction of
additional compounds (e.g., citric acid, ascorbic acid).[43,44] As a consequence, the material becomes more versatile for processing
via additive manufacturing techniques that require room temperature
solubility including digital light processing, widened objective working
range (WOW) 2PP, as well as stereolithography.[45]
Figure 2
(A)
DSC thermograms of 10 w/v % (functionalized) gelatin solutions.
(B) Physical gelation temperature and associated physical interactions
of 10 w/v % gel-MOD and 10 w/v % gel-MOD-AEMA relative to the denaturation
enthalpy of pristine gelatin type B.
(A)
DSC thermograms of 10 w/v % (functionalized) gelatin solutions.
(B) Physical gelation temperature and associated physical interactions
of 10 w/v % gel-MOD and 10 w/v % gel-MOD-AEMA relative to the denaturation
enthalpy of pristine gelatin type B.
Determination of the Mechanical Properties
of Hydrogels Based
on Functionalized Gelatins via Rheology
The observed differences
in physical gelation properties of gel-MOD-AEMA were further studied
through rheology experiments with the aim of revealing possible effects
on the hydrogel’s mechanical properties. In a first assay,
the cross-linking, which occurred via a photoinduced, chain-growth
free radical polymerization mechanism, was monitored using rheology.
In this respect, the storage modulus G′ was
monitored as this provides an indication of the elastic behavior of
a sample, which is related to the number of cross-links present in
a material.[26] During the experiment, a
comparison based on the evolution of G′ was
made between cross-linking in the presence (Figure A) or absence (Figure B) of physical interactions. To this end,
10 w/v % precursor solutions were either cooled down to 5 °C
to induce physical gelation prior to UV exposure (Figure A) or heated to 37 °C
prior to UV-induced cross-linking to preclude the influence of physical
interactions on the efficiency of chemical cross-linking (Figure B).
Figure 3
Evolution of the storage
modulus of 10 w/v % gel-MOD and 10 w/v
% gel-MOD-AEMA during UV-A-induced cross-linking at 500 mW/cm2 with (A) and without (B) 10 min physical gelation at 5 °C
as determined by rheology. (C) Influence of applied UV-A irradiance
on the final mechanical properties of 10 w/v % gel-MOD-AEMA with prior
cooling at 5 °C for 10 min and subsequent cross-linking for 10
min. (D) Effect of gelatin functionalization and concentration on
the storage modulus of 1 mm thick equilibrium-swollen hydrogel films
prepared via film casting at a UV-A irradiance of 2 × 4 mW/cm2 after 30 min cross-linking. (E, F) Mass swelling ratio and
gel fraction of these thin films. All experiments were performed in
the presence of 2 mol % Irgacure 2959.
Evolution of the storage
modulus of 10 w/v % gel-MOD and 10 w/v
% gel-MOD-AEMA during UV-A-induced cross-linking at 500 mW/cm2 with (A) and without (B) 10 min physical gelation at 5 °C
as determined by rheology. (C) Influence of applied UV-A irradiance
on the final mechanical properties of 10 w/v % gel-MOD-AEMA with prior
cooling at 5 °C for 10 min and subsequent cross-linking for 10
min. (D) Effect of gelatin functionalization and concentration on
the storage modulus of 1 mm thick equilibrium-swollen hydrogel films
prepared via film casting at a UV-A irradiance of 2 × 4 mW/cm2 after 30 min cross-linking. (E, F) Mass swelling ratio and
gel fraction of these thin films. All experiments were performed in
the presence of 2 mol % Irgacure 2959.A clear difference in mechanical properties due to physical
gelation
can be observed between 10 w/v % solutions of gel-MOD and gel-MOD-AEMA.
Gel-MOD clearly outperforms gel-MOD-AEMA in terms of physical gelation
(i.e., 2000 Pa for gel-MOD vs 1000 Pa for gel-MOD-AEMA) within the
observed time frame, which is in good agreement with the DSC results
discussed earlier. However, the presence of these physical interactions
does significantly and positively affect the final stiffness after
covalent cross-linking for both derivatives. When inducing triple
helices by lowering the temperature below the UCST prior to UV irradiation,
the gelatin chains will organize. On the one hand, this brings the
cross-linkable functionalities in closer proximity to each other,
leading to more efficient cross-linking.[46,47] This hypothesis is substantiated by the literature as similar observations
were reported by Houben et al. for synthetic cross-linkable hydrogel
building blocks, where self-organization due to crystallization increased
the observed cross-linking reactivity.[48] On the other hand, the formed triple helices are partially locked
by the covalent cross-links thereby further increasing the final mechanical
properties[46,47] (see Figure S3). As a consequence, UV-A irradiation of a physical network
results in a more efficient cross-linking reaction, which is reflected
by a substantially higher storage modulus obtained after cross-linking
for both gel-MOD (i.e., 18 ± 1.3 vs 4.7 ± 0.3 kPa) and gel-MOD-AEMA
(i.e., 60.6 ± 0.6 vs 14.9 ± 0.2 kPa) (comparison of Figure A and B).Furthermore,
the introduction of additional cross-linkable functionalities
also positively affects the kinetics of the photoinduced cross-linking
as indicated by the steeper slope of the G′
curve during cross-linking for gel-MOD-AEMA in Figure A and B. Additionally, the increased cross-link-density
results in a higher stiffness of the cross-linked hydrogels as evidenced
by a 3.0–3.6-fold increase in the final storage modulus for
gel-MOD-AEMA vs gel-MOD both in the presence (i.e., from 18 ±
1.3 to 60.6 ± 0.6 kPa) and absence (i.e., from 4.7 ± 0.3
to 14.9 ± 0.2 kPa) of physical interactions prior to cross-linking
(comparison of Figure A and B).Furthermore, variation of the applied light intensity
provides
control over the final mechanical properties (see Figure C). Lower light intensities
result in a less densely cross-linked network and concomitant lower
storage modulus.[21] This phenomenon can
be considered very relevant when applying 2PP for material processing
because the technique is characterized by high spatiotemporal control
in terms of the locally applied irradiation dose. As a consequence,
the material could be applied to obtain structures with locally tuned
stiffness, thereby mimicking natural tissue to a greater extent.Because these in situ cross-linking experiments only provide insight
into the mechanical properties of the hydrogels in the relaxed state
prior to equilibrium swelling, cross-linked hydrogel films were also
monitored after equilibrium swelling. Therefore, hydrogel films were
prepared from different concentrations of both gelatin derivatives.
Next, these films were equilibrium swollen at physiological temperature
(37 °C), and the storage modulus was determined under the same
conditions over a frequency range of 0.01–10 Hz. The average
storage moduli and associated standard deviations are presented in Figure D. First, the experiment
indicated frequency-independent G′ and G″, which indicates the existence of a cross-linked
rubbery network[49] (data not shown). Second,
next to variations in applied UV irradiation dose and the gelatin
DS, the initial precursor concentration is another parameter that
provides control over the final hydrogel mechanical properties.[21,50] The results indicate that gel-MOD-AEMA outperforms gel-MOD in equilibrium
swollen conditions over the entire concentration range in terms of
stiffness (Figure D). As a consequence, a higher amount of cross-linkable functionalities
in the hydrogel precursor allows gel-MOD-AEMA to reach the same mechanical
properties as gel-MOD albeit at lower concentrations. This is very
relevant as previous findings from our group indicated that high gelatin
concentrations negatively affect the biocompatibility.[21] It should be noted that similar gel fractions
(close to 100%, no significant differences p >
0.05)
were obtained for all studied hydrogel films. As a consequence, stable
hydrogel films were formed for both derivatives, and observed differences
in stiffness cannot be attributed to incomplete cross-linking (Figure F).In conclusion,
when looking into potential tissue engineering applications,
literature reports state that the obtained mechanical properties match
the mechanical properties of a series of tissues (see Figure S1 and Table S1). These tissues range
from soft tissue including brain tissue (G′
= 3–12 kPa)[51] to relatively hard
tissues including the intervertebral discs (G′
= 8 – 93 kPa).[52] Furthermore, a
comparison between the obtained mechanical properties and those reported
earlier for biomaterials indicates that gel-MOD-AEMA scores more toward
the higher end of the mechanical spectrum. In this respect, it outperforms
all reported gelatin derivatives to date that have been cross-linked
in the absence of a second material (e.g., chondroitin sulfate, hyaluronic
acid)[42] (see Figure S1 and Table S1). Additionally, the obtained mechanical properties
are comparable with those described earlier for cross-linked collagen
despite the less pronounced physical interactions inherent to gelatin.[53,54]The combination of the observed faster cross-linking kinetics
with
the superior mechanical properties of gel-MOD-AEMA are anticipated
to be beneficial for lithography-based additive manufacturing purposes,
as this can lead to shorter structuring times.
Effect of
Gelatin Functionalization and Concentration on the
Hydrogel Gel Fraction, Water Uptake Capacity, and Network Density
Hydrogel materials are generally excellent candidates for tissue
culture because they mimic the aqueous environment present in the
extracellular matrix while providing mechanical support to the cells.
Therefore, the equilibrium swelling degree of a hydrogel material
is an important characteristic for ECM mimics. To this end, swelling
at equilibrium was determined gravimetrically for both derivatives
at varying precursor concentrations (Figure E). The assay indicated that, while still
being able to absorb large quantities of water (≥350%), the
gel-MOD-AEMA derivative exhibits a significant reduction in equilibrium
swelling compared to that of gel-MOD, which can again be attributed
to a more densely cross-linked network. To further substantiate these
observations, a more thorough comparison of the obtained network density
can be calculated via the rubber elasticity theory using the average
molecular weight, the equilibrium swelling ratio, and the mechanical
properties.[21,55,56] This theory allows for calculating an estimation of several important
parameters including the polymer volume fraction in the swollen state
(v2,s), the volumetric swelling ratio
(Q), the average molecular weight between cross-links
(), the network mesh size (ξ), and
the cross-link density (ρ) (detailed
calculations are available in the Supporting Information). A summary of the experimentally obtained results based on GPC,
rheology, and gravimetric swelling assays is presented in Table along with the calculated
results obtained using the rubber elasticity theory.
Table 2
Influence of Concentration and Gelatin
Derivative on Gel Fraction, Mass Swelling Ratio, Q, G′, Mc, ξ,
and ρx
sample
# cross-linkable functionalities (mmol/ggelatin)
initial concn (% w/v)
gel fraction
mass swelling
ratio
G′ at 37 °C (kPa)
Q
Mc (g/mol)
ξ (Å)
ρx (× 10–4) (mol/cm3)
gel-MOD
0.37
5
83.0 ± 6.5
18.5 ± 1.0
5.7 ± 0.3
26.21
5326
160
2.55
10
94.5 ± 3.0
10.1 ± 0.2
22.1 ± 0.3
14.68
3752
110
3.63
15
97.7 ± 2.5
8.9 ± 0.1
47.5 ± 0.8
13.11
2892
93
4.70
gel-MOD-AEMA
0.99
5
91.0 ± 4.9
10.4 ± 2.2
7.7 ± 0.4
15.11
4783
126
2.84
10
95.1 ± 1.2
6.4 ± 0.2
56.2 ± 1.2
9.76
1899
69
7.16
15
93.7 ± 2.9
4.7 ± 0.1
147.1 ± 2.9
7.37
1248
51
10.90
The results clearly indicate a correlation
between the initial
gelatin concentration, the amount of cross-linkable functionalities,
and the density of the obtained network. This is reflected by a decreased
average molecular weight between cross-links and increased cross-link
density both upon increasing the precursor concentration and increasing
the amount of cross-linkable functionalities. As a result, the observations
from swelling assays as well as rheological measurements can be justified
to be attributed to network density. Furthermore, it should be noted
that rheology and swelling experiments were performed above the UCST
of the gelatin derivatives (27–30 °C as determined by
DSC) (Figure ). Consequently,
the obtained cross-link densities can only be attributed to the presence
of covalent cross-links without the influence of interfering physical
interactions. However, as previously discussed, physical interactions
prior to covalent cross-linking did result in an increased final gel
strength and, therefore, a more densely cross-linked network.
Effect of Gelatin Functionalization and Concentration on Enzymatic
Degradation
To assess to what extent the biodegradable properties
of gelatin were preserved upon derivatization and subsequent cross-linking,
in vitro degradation experiments have been performed in the presence
of collagenase (100 CDU/ml). The results indicated that gel-MOD-AEMA
remains fully enzymatically degradable as previously reported for
other cross-linked gelatin derivatives.[57] However, the presence of additional cross-links (i.e., 25.5 and
36.3 mmol/cm3 for 5 and 10 w/v % gel-MOD and 28.4 and 71.6
mmol/cm3 for gel-MOD-AEMA, respectively) in combination
with decreased water uptake capacity results in a reduced intercross-link
chain mobility. This effect combined with the fact that more bonds
need to be cleaved for denser cross-linked networks results in a longer
degradation time. Indeed, the degradation time for gel-MOD-AEMA is
substantially larger (up to a factor of 7.5 for both 5 and 10 w/v
% hydrogels) (Figure ). It should be noted that for gel-MOD-AEMA only the extrapolated
final degradation times are presented. However, the materials were
fully degradable because after somewhat less than 30 h, no material
was left after washing and freeze-drying for all studied samples.
Figure 4
In vitro
degradation behavior of gel-MOD (gray) and gel-MOD-AEMA
in the presence of 100 CDU/ml collagenase starting from different
polymer concentrations (5 versus 10 w/v %). The extrapolated final
degradation times are given between brackets.
In vitro
degradation behavior of gel-MOD (gray) and gel-MOD-AEMA
in the presence of 100 CDU/ml collagenase starting from different
polymer concentrations (5 versus 10 w/v %). The extrapolated final
degradation times are given between brackets.
Influence of Gelatin Functionalization on Biocompatibility
Despite the favorable material properties, the developed derivative
has to retain its favorable cell interactivity to remain suitable
for tissue engineering purposes. Therefore, in vitro biological tests
were performed on hydrogel-coated glass slides using both MC3T3-E1
preosteoblasts and L929 fibroblasts. To this end, the metabolic activity
of the cells was monitored over the course of 7 days at regular time
points using a PrestoBlue assay. The results of the assays are depicted
in Figure . To ensure
a more quantitative comparison, all samples were normalized against
the TCP control after 7 days of culture (= 100%). Because a clear
increase in metabolic activity is observed as a function of time,
the cells can be considered healthy and proliferating on all substrates
throughout the course of the experiment. It should be noted, however,
that for the MC3T3 cells, the increase in metabolic activity between
days 3 and 7 is less pronounced. This is a phenomenon also observed
in the literature for this cell type as typically the metabolic activity
reaches a plateau corresponding to the confluence state.[58] In the performed assay, confluence was indeed
reached between days 3 and 7 resulting in a plateau in metabolic activity.
Furthermore, no significant difference in metabolic activity can be
observed between gel-MOD-AEMA and gel-MOD, which is currently one
of the gold standards in the field of biofabrication.[34,59] In addition, for the MC3T3 cells, all substrates exhibited a metabolic
activity of >70% after 7 days of culture, and the metabolic activity
for the L929 cells was even above 90% for all substrates. As a consequence,
both materials can be considered biocompatible and suitable for tissue
culture of both cell types.
Figure 5
Presto blue assay performed on hydrogel-coated
glass slides expressing
the metabolic activity of MC3T3-E1 preosteoblasts (left panel) and
L929 fibroblasts (right panel) relative to a tissue culture plastic
(TCP) reference and DMSO as a negative control.
Presto blue assay performed on hydrogel-coated
glass slides expressing
the metabolic activity of MC3T3-E1 preosteoblasts (left panel) and
L929 fibroblasts (right panel) relative to a tissue culture plastic
(TCP) reference and DMSO as a negative control.
Influence of Gelatin Functionalization and Concentration on
Processing through Two Photon Polymerization
To prove the
suitability of the material for laser-based additive manufacturing
purposes, 2PP experiments were performed comparing gel-MOD and gel-MOD-AEMA
solutions.By scanning a tightly focused femtosecond pulsed near-infrared
(800 nm) laser beam through the solutions in the presence of a suitable
photoinitiator, local polymerization can occur in the focal spot (voxel)
as a result of simultaneous absorption of two photons by the photoinitiator
(Figure A). As a result,
the photoinitiator will generate radicals thereby locally inducing
a free radical-polymerization cross-linking reaction (see Figure A). Consequently,
a complex 3D hydrogel construct can be fabricated by scanning the
focal spot through the precursor solution according to a CAD model
followed by dissolution and washing away of un-cross-linked material.
To the best of our knowledge, to date, 2PP fabrication using gelatin-based
solutions have only been reported for concentrations starting from
20 wt % functionalized gelatin or when using an additional cross-linker.[5,6,23−25] Because of
the higher reactivity and superior mechanical properties, the reported
gel-MOD-AEMA precursors are anticipated to be a superior alternative
for gel-MOD from a processing perspective. For proving this hypothesis,
the swelling properties and the CAD mimicry of conventionally applied
gel-MOD and the novel gel-MOD-AEMA derivative have been compared using
different polymer concentrations (5–15 w/v %) and various average
laser powers (10–100 mW) in solutions containing 2 mol % P2CK,
a biocompatible and efficient 2PP photoinitiator[23,31,38] (Figure B and C).
Figure 6
(A) Schematic representation of the two-photon polymerization (2PP)
principle on gel-MOD-AEMA in the presence of P2CK photoinitiator including
a Jablonski diagram demonstrating the theoretical background for which
single photon excitation (blue) is compared to two photon excitation
(red). (B) Applied CAD model and structured university logos expressing
clear differences in swelling and swelling-related deformations between
gel-MOD and gel-MOD-AEMA at different concentrations. (TU Wien logo
printed with permission from the TU Wien; PBM logo printed with permission
from the Polymer Chemistry and Biomaterials research group at Ghent
University.) (C) Semiquantitative analysis of structuring range and
related swelling (observed as a “halo” around the square)
for both derivatives via 3D renderings of the generated cubes (100
μm × 100 μm × 100 μm) imaged through the
glass slide after 24 h of incubation at 37 °C. (All experiments
were performed in the presence of 2 mol % P2CK.)
(A) Schematic representation of the two-photon polymerization (2PP)
principle on gel-MOD-AEMA in the presence of P2CK photoinitiator including
a Jablonski diagram demonstrating the theoretical background for which
single photon excitation (blue) is compared to two photon excitation
(red). (B) Applied CAD model and structured university logos expressing
clear differences in swelling and swelling-related deformations between
gel-MOD and gel-MOD-AEMA at different concentrations. (TU Wien logo
printed with permission from the TU Wien; PBM logo printed with permission
from the Polymer Chemistry and Biomaterials research group at Ghent
University.) (C) Semiquantitative analysis of structuring range and
related swelling (observed as a “halo” around the square)
for both derivatives via 3D renderings of the generated cubes (100
μm × 100 μm × 100 μm) imaged through the
glass slide after 24 h of incubation at 37 °C. (All experiments
were performed in the presence of 2 mol % P2CK.)The degree of volumetric swelling obtained after 2PP was assessed.
This not only provides insight into the cross-link density of a material,
it is also very relevant when targeting additive manufacturing and
more specifically, 2PP. Postproduction swelling generally requires
a correction in the CAD model to realize reproducible computer-aided
manufacturing (CAM) based on the implemented design.[60] Furthermore, swelling is also correlated with the applied
irradiation dose (see Figure C). Unfortunately, swelling is often not uniform or even design
dependent. As a result, it becomes challenging to anticipate and correct
for postproduction swelling-related morphological changes when generating
the CAD design. Inhomogeneous swelling can induce local stress areas
and result in distortions of the construct architecture as depicted
for gel-MOD in Figure B.[25] Therefore, the correlation between
swelling, irradiation dose, and precursor concentration was qualitatively
assessed by imaging cubes polymerized on methacrylated glass via 2PP.
The bottom (100 × 100 μm) of the hydrogel structures is
covalently attached to the methacrylated glass, thereby preventing
swelling and mimicking the dimensions of the CAD model. The top part
of the structure, however, is free to swell during development of
the sample. Consequently, a “halo”-like contour is present
behind the bottom surface (Figure C) when imaged through the glass slide. These qualitative
observations were quantified by comparing the surface area of the
bottom slice attached to the glass with the equilibrium swollen top
section of the cube (Figure ). Clearly, the concentration and applied average laser power
affect the swelling of gel-MOD structures, especially at lower polymer
concentrations. However, for gel-MOD-AEMA, the effect, although still
present, is less pronounced because swelling is nearly absent for
average laser powers of 80 mW onward both for 10 and 15 w/v % solutions.
As a consequence, the “true“ CAD/CAM shape fidelity
of gel-MOD-AEMA hydrogels is demonstrated (Figures C and 7). This significantly
reduced swelling behavior is a consequence of a decrease in the average
molecular weight between the cross-linking points. As a result, the
mobility of the polymer chains within the network is lowered, and
the water uptake capacity is decreased, as discussed earlier.[21,61] A second observation was the fact that no reproducible structures
could be obtained starting from 5 w/v % solutions of gel-MOD or gel-MOD-AEMA.
To obtain more insight in this matter, the amount of cross-linkable
functionalities present in one voxel was estimated for both derivatives
at the applied precursor concentrations. An estimation of the two-photon
excitation (TPE) volume of one voxel was calculated by approximating
the illumination point spread function2 (IPSF2) (see Figure B)
as a three-dimensional Gaussian analytical integration.[62]The calculation of ω and ω can be found in the Supporting Information. For the amount of double
bonds present in the voxel to be calculated, the concentration of
the applied gelatin solution was combined with the calculated amount
of double bonds present in the material to obtain the number of double
bonds/volume (see Figure C).
Figure 7
(A) Semiquantitative swelling analysis performed on printed cubes
(100 × 100 × 100 μm) by comparison of the surface
area of the bottom slice attached to the glass and the top slice of
the printed cube after equilibrium swelling. The structuring range
of both derivatives as well as the influence of the applied average
laser power on the swelling is demonstrated. (B) Exemplary schematic
representation of the point spread function as a consequence of tight
focusing exhibiting an ellipsoidal morphology.[63] (C) Table estimating number of double bonds within the
same volume voxel of different materials.
(A) Semiquantitative swelling analysis performed on printed cubes
(100 × 100 × 100 μm) by comparison of the surface
area of the bottom slice attached to the glass and the top slice of
the printed cube after equilibrium swelling. The structuring range
of both derivatives as well as the influence of the applied average
laser power on the swelling is demonstrated. (B) Exemplary schematic
representation of the point spread function as a consequence of tight
focusing exhibiting an ellipsoidal morphology.[63] (C) Table estimating number of double bonds within the
same volume voxel of different materials.It should be noted that, although more cross-linkable functionalities
are present in 5 w/v % solutions of gel-MOD-AEMA as compared to 10
w/v % gel-MOD, no reproducible structures could be obtained starting
from 5 w/v % gel-MOD-AEMA although the polymerization could be monitored
during structuring. However, the poor mechanical properties of the
material starting from a 5 w/v % concentration render it insufficiently
strong to support its own weight during structuring and lead to a
loss of part of the structure during the development. As a consequence,
only parts of the structure remained after development (see Figure S4). Furthermore, the combination of more
cross-linkable functionalities per voxel (see Figure B) combined with more favorable cross-linking
kinetics for gel-MOD-AEMA results in the formation of denser networks
even at low concentrations (as discussed earlier). Therefore, lower
irradiation doses enable the generation of similar mechanical properties
compared to those of gel-MOD even at higher concentrations and average
laser powers (e.g., 10 w/v % gel-MOD-AEMA exhibits a similar stiffness
compared to that of 15 w/v % gel-MOD, Figure D). Consequently, it is anticipated that
higher writing speeds can be applied to gel-MOD-AEMA to obtain similar
mechanical properties in combination with a lower swelling degree
relative to that of gel-MOD.To visualize the true CAD/CAM fidelity for the novel gel-MOD-AEMA precursors, more complex structures were also constructed starting
from 10 and 15 w/v % concentrations (see Figure B). Furthermore, it is demonstrated that
even fine features (down to 1 μm with a high aspect ratio of
1:40 as evidenced by the small features apparent in the PBM logo)
were closely reproduced using the novel gelatin derivative (Figure B). Consequently,
subcellular dimensions (≤10 – 20 μm)[64] could be realized with high aspect ratios using
gel-MOD-AEMA as starting material. It is therefore anticipated that
the combination of gel-MOD-AEMA and 2PP will become a powerful tool
in the study of cellular responses toward ultrasmall biocompatible
hydrogel structures, thereby influencing cellular behavior, and to
guide cells into a desired morphology or pathway.[65]Furthermore, because in contrast to gel-MOD gel-MOD-AEMA
does not
form a physical gel at room temperature (as discussed above), it becomes
possible to dip the microscope objective used for 2PP inside the solution.
As a consequence, dip-in laser lithography as well as WOW-2PP is in
reach on gelatin derivatives at room temperature, thereby drastically
increasing the maximum attainable construct size from the μm
to the mm scale.[45,66]
Conclusions
The
combination of primary amine functionalization with subsequent
carboxylic acid modification to introduce cross-linkable moieties
proves to be an elegant tool to increase the 2PP potential of gelatin-based
hydrogel precursors. In addition to superior material stiffness, gel-MOD-AEMA
also exhibits faster cross-linking kinetics compared to those of conventionally
applied photo-cross-linkable gelatin derivatives. Furthermore, nearly
no postprocessing swelling occurred upon applying gel-MOD-AEMA while
the material biocompatibility with respect to tissue culture potential
was sufficiently maintained. These factors render the material ideal
for 2PP processing at high-resolution (feature sizes of around 1 μm)
and increase the additive manufacturing potential of gelatin precursors
in general for which faster cross-linking kinetics, lower swelling
ratios, and superior mechanical integrity can increase the maximum
attainable writing speeds in combination with a higher shape fidelity
for the applied CAD without compromising biocompatibility. Furthermore,
the absence of visually observable physical gelation at room temperature
increases the potential of gel-MOD-AEMA for layer-by-layer and dip-in
laser lithography techniques, which drastically increases the maximum
attainable construct sizes. This aspect clears the road toward the
production of patient-specific macrostructures up to several millimeters
in size containing ultraprecise microfeatures to optimize the desired
cellular behavior. Furthermore, the applied polymer functionalization
can be translated toward other (bio)polymers containing free carboxylic
acids including collagen, elastin, and glycosaminoglycans. In this
respect, the ECM-mimicking toolbox can be further expanded toward
a new platform consisting of highly specific processable material
enabling close reproductions of living tissue.
Authors: Tiemo Bückmann; Nicolas Stenger; Muamer Kadic; Johannes Kaschke; Andreas Frölich; Tobias Kennerknecht; Christoph Eberl; Michael Thiel; Martin Wegener Journal: Adv Mater Date: 2012-04-12 Impact factor: 30.849
Authors: Sara Žigon-Branc; Marica Markovic; Jasper Van Hoorick; Sandra Van Vlierberghe; Peter Dubruel; Elise Zerobin; Stefan Baudis; Aleksandr Ovsianikov Journal: Tissue Eng Part A Date: 2019-05-10 Impact factor: 3.845
Authors: Khoon S Lim; Florencia Abinzano; Paulina Nuñez Bernal; Ane Albillos Sanchez; Pau Atienza-Roca; Iris A Otto; Quentin C Peiffer; Michiya Matsusaki; Tim B F Woodfield; Jos Malda; Riccardo Levato Journal: Adv Healthc Mater Date: 2020-04-23 Impact factor: 9.933
Authors: Lisa Rebers; Raffael Reichsöllner; Sophia Regett; Günter E M Tovar; Kirsten Borchers; Stefan Baudis; Alexander Southan Journal: Sci Rep Date: 2021-02-05 Impact factor: 4.379
Authors: Liesbeth Tytgat; Agnes Dobos; Marica Markovic; Lana Van Damme; Jasper Van Hoorick; Fabrice Bray; Hugo Thienpont; Heidi Ottevaere; Peter Dubruel; Aleksandr Ovsianikov; Sandra Van Vlierberghe Journal: Biomacromolecules Date: 2020-09-09 Impact factor: 6.988