Carbon-based fibrous scaffolds are highly attractive for all biomaterial applications that require electrical conductivity. It is additionally advantageous if such materials resembled the structural and biochemical features of the natural extracellular environment. Here, we show a novel modular design strategy to engineer biomimetic carbon fiber-based scaffolds. Highly porous ceramic zinc oxide (ZnO) microstructures serve as three-dimensional (3D) sacrificial templates and are infiltrated with carbon nanotubes (CNTs) or graphene dispersions. Once the CNTs and graphene coat the ZnO template, the ZnO is either removed by hydrolysis or converted into carbon by chemical vapor deposition. The resulting 3D carbon scaffolds are both hierarchically ordered and free-standing. The properties of the microfibrous scaffolds were tailored with a high porosity (up to 93%), a high Young's modulus (ca. 0.027-22 MPa), and an electrical conductivity of ca. 0.1-330 S/m, as well as different surface compositions. Cell viability, fibroblast proliferation rate and protein adsorption rate assays have shown that the generated scaffolds are biocompatible and have a high protein adsorption capacity (up to 77.32 ± 6.95 mg/cm3) so that they are able to resemble the extracellular matrix not only structurally but also biochemically. The scaffolds also allow for the successful growth and adhesion of fibroblast cells, showing that we provide a novel, highly scalable modular design strategy to generate biocompatible carbon fiber systems that mimic the extracellular matrix with the additional feature of conductivity.
Carbon-based fibrous scaffolds are highly attractive for all biomaterial applications that require electrical conductivity. It is additionally advantageous if such materials resembled the structural and biochemical features of the natural extracellular environment. Here, we show a novel modular design strategy to engineer biomimetic carbon fiber-based scaffolds. Highly porous ceramic zinc oxide (ZnO) microstructures serve as three-dimensional (3D) sacrificial templates and are infiltrated with carbon nanotubes (CNTs) or graphene dispersions. Once the CNTs and graphene coat the ZnO template, the ZnO is either removed by hydrolysis or converted into carbon by chemical vapor deposition. The resulting 3D carbon scaffolds are both hierarchically ordered and free-standing. The properties of the microfibrous scaffolds were tailored with a high porosity (up to 93%), a high Young's modulus (ca. 0.027-22 MPa), and an electrical conductivity of ca. 0.1-330 S/m, as well as different surface compositions. Cell viability, fibroblast proliferation rate and protein adsorption rate assays have shown that the generated scaffolds are biocompatible and have a high protein adsorption capacity (up to 77.32 ± 6.95 mg/cm3) so that they are able to resemble the extracellular matrix not only structurally but also biochemically. The scaffolds also allow for the successful growth and adhesion of fibroblast cells, showing that we provide a novel, highly scalable modular design strategy to generate biocompatible carbon fiber systems that mimic the extracellular matrix with the additional feature of conductivity.
Regenerative medicine aims at developing microenvironments for
the regrowth of damaged or dysfunctional tissue and organs. New promising
strategies of regenerative medicine make use of biomaterial scaffolds
that resemble the chemical composition,[1] the topographical structure, and the three-dimensional (3D) micro-
and nanoenvironments of extracellular matrix (ECM).[2] The ECM consists of interwoven protein fibers, such as
collagens, in different ranges of diameters varying from a few (<5
nm) up to several hundred nanometers for bundled collagen fibrils.[3] The chemical, structural, and mechanical features
of the ECM significantly control cell migration, as well as tissue
development and maintenance[4] such that
finding novel ways to mimic the ECM is a highly important task in
biomaterials science. As the diameter (<5 nm) and length (<500
nm) of unbundled collagen fibrils are in the range of those of carbon
nanotubes (CNTs),[3] CNTs present an interesting
substitute for collagen fibrils.A general goal of artificially
fabricated biomaterial scaffolds
is to promote cells to differentiate and proliferate in three dimensions
so that they fulfill their functions in the artificial tissue and
integrate well after implantation.[5] Particularly,
the microstructure and porosity of a scaffold are the key to achieve
spatially organized cell growth, besides the induction of specific
biological functions in the regenerated tissue. Tailoring pore size,
shape, and interconnectivity of a scaffold ensures that cell migration,
as well as oxygen and nutrient contribution are similar to the conditions
of natural tissues.[6] Often, a large pore
size in the range of a few micrometers supports cell migration and
ensures the transport of nutrition and waste products.[7]In neural implants and heart tissue engineering,
the electrical
conductivity of a scaffold material is often a further requirement
necessary for cellular signaling and function.[8] For example, conductivities of 0.03–0.6 S/m have been reported
for cardiac muscles.[9] Carbon-based nanomaterials
can in principle fulfill such requirements for 3D assemblies.[10,11] CNTs have a high electrical conductivity (up to 67 000 S/cm)[12] and chemical stability (e.g., against acids);[13] while graphene (G) offers high surface area
(2630 m2/g)[14] and high electrical
conductivity (107–108 S/m).[15] Both CNTs and graphene have attracted significant
attention in biomedical applications, ranging from biosensors[16] and drug/gene delivery[17] to targeted bioimaging.[17] In addition,
compared to other carbon-based nanomaterials, the high physical aspect
ratio of CNTs (up to 3750 length/diameter) and graphene provides a
sufficient surface area for the attachment of adhesion ligands and
cells.[14,18] Regarding neural tissue engineering, 3D
graphene foams[19] and graphene films[18] have contributed to enhance neural stem cell
differentiation toward astrocytes and neurons.[20]An important requirement for such carbon-containing
scaffolds is
biocompatibility. The biocompatibility of CNTs depends on the concentration
of CNTs,[21] their degree of purification,
synthesis method,[22] aspect ratio, diameter
and number of CNT walls,[23] and their surface
functionalization.[24] Although many studies
have proven the feasibility of CNTs as biocompatible material,[25] the cytotoxicity of CNTs is still a concern
due to residual metal catalysts, amorphous carbon, and CNT aggregation
that can occur within the cell.[26] In contrast,
graphene has been reported to be biocompatible and is readily applicable
for a variety of biological applications, including the use of neuronal
cells,[18] cardiomyocytes,[27] and osteoblast[28] cells. Graphene
oxide (GO) is an interesting graphene derivative, as it consists of
a single atomic carbon layer decorated with hydrophilic functional
groups such as carboxylic acid, hydroxyl, and epoxide.[29] In particular, GO has shown a strong tendency
to interact with peptides and proteins via physical or chemical bonds.[30] Therefore, graphene and GO have great potential
in biomedical applications as they can easily be converted into biofunctional,
peptide- or protein-coated surfaces. Moreover, carbon microtube materials,
specifically aerographite (AG), are of further interest as biomaterials
due to their electrical conductivity (0.2–0.8 S/m)[31] and highly porous (up to 99.99%)[32] 3D interconnected network. A recent study has
demonstrated the feasibility of AG as a suitable 3D matrix for cell
migration and proliferation.[33] However,
a clear pathway to generate a highly porous biocompatible ECM-mimetic
scaffold with tunable porosity, electrical conductivity, and suitable
mechanics for biomedical applications has so far been missing.Here we demonstrate a novel modular design strategy to generate
hierarchically structured carbon-based, microfibrous scaffold materials
with adjustable electrical and mechanical properties that mimic the
structure of the extracellular matrix. The materials investigated
here are biocompatible, support cell proliferation and adhesion, and
open the gateway to future biomaterial development, where biocompatibility
and electrical conductivity are vital for cell proliferation and stimulation.
Results and Discussion
Novel Types of Graphitic
Scaffolds by CNT
and Graphene Infiltration
Different types of fibrous 3D carbon
scaffolds have been prepared based on our modular template-mediated
method. Figure shows
the modular design strategy of our fabrication method. The fabrication
uses presintered highly porous (porosity > 93%) ceramic ZnO templates
as a sacrificial material.[32] These ZnO
templates themselves consist of interconnected tetrapod-shaped ZnO
particles. Representative scanning electron microscopy (SEM) images
of the ZnO templates are shown in the Supporting Information Figure S2. The highly porous ZnO templates have
an interstitial space of approximately 10–100 μm between
ZnO filaments, which in turn have diameters between 0.5 and 5 μm.
Therefore, the spatial geometry and organization of the microtube-shaped
structures of the ZnO template are comparable to that of the ECM.[34]
Figure 1
Schematic illustration of different 3D carbon tube structures.
The highly porous ZnO template can be either infiltrated with a nanoparticle
dispersion (e.g., graphene, CNT) leading to a homogeneous coating
around the tetrapodal particles or converted to a graphitic structure
using a chemical vapor deposition (CVD) process (aerographite). The
combination of both processes leads to a modular design strategy,
especially in terms of conductivity, mechanical stiffness, and surface
topography.
Schematic illustration of different 3D carbon tube structures.
The highly porous ZnO template can be either infiltrated with a nanoparticle
dispersion (e.g., graphene, CNT) leading to a homogeneous coating
around the tetrapodal particles or converted to a graphitic structure
using a chemical vapor deposition (CVD) process (aerographite). The
combination of both processes leads to a modular design strategy,
especially in terms of conductivity, mechanical stiffness, and surface
topography.The coating of ZnO templates
with carbon nanomaterials (e.g., CNTs,
graphene) is performed via a simple process to infiltrate the entire
3D template with a CNT dispersion as described by Schütt et
al.[35] In addition, here we demonstrate
that the feasibility of this technique can be extended also to graphene
dispersions. The infiltration process relies on the superhydrophilicity
of the ZnO template,[36] which is a direct
result of the combination of the hydrophilic character of the individual
tetrapod-shaped ZnO microparticles and the high porosity (>93%)
of
the template. During water evaporation, the nanomaterials form a widely
homogeneous coverage[35] around the ZnO microrods
(Supporting Information Figures S3 and S4). The amounts of CNTs and graphene flakes covering the ZnO template
can be controlled by cyclically repeating the infiltration process
several times (Supporting Information, Figures S3 and S4). SEM images revealed that the infiltrated CNTs form
a layer made of self-entangled CNTs around the ZnO network (Supporting
Information Figure S4). Similarly to CNTs,
a dispersion of graphene flakes also forms a homogeneous layer around
the ZnO (Supporting Information Figure S3).To generate freestanding scaffolds from the ZnO templates
after
coating them with carbon nanomaterials, the ZnO must be carefully
removed. We have used three different processes to remove the sacrificial
ZnO network after infiltration (Figure ): (i) hydrolyzing the sacrificial ZnO template by
a HCl solution[35] (Supporting Information Figure S5a), (ii) converting the ZnO template
via a CVD process[31] (Supporting Information Figure S5b,c), and (iii) using a carbothermal
reduction process[37] in combination with
glucose (g) as a carbon source. Each of these processes leads to a
specific type of carbon-based scaffold. Therefore, the results of
these processes (Supporting Information Figure S5) are discussed in the following sections.
Freestanding Carbon Nanotube Network (CNTT)
Scaffolds from Hydrolysis of the Sacrificial ZnO Template by HCl
When HCl is used to dissolve the ZnO in CNT-coated ZnO templates,
hierarchically structured CNTT scaffolds are formed. These structures
consist of interconnected hollow tubes, which are composed of self-entangled
CNT networks, as reported previously.[35] SEM images of the resulting CNTT scaffolds are presented in Figure a–c. The presented
structures demonstrate a hierarchical architecture, where the porous
scaffold are composed of microtetrapods (Figure a,b), which in turn consist of nanoscale
CNTs (Figure c). The
HCl-based ZnO dissolution can only be applied for templates infiltrated
with CNTs. Templates infiltrated with graphene only led to collapsing
structures (data not shown), presumably as the graphene flakes cannot
interweave.
Figure 2
SEM images from low to high magnification of the different 3D carbon
structures. (a−c) Carbon nanotube tubes (CNTTs), (d−f)
aerographite with incorporated CNTs (AG−CNTT) (the red arrows
show the grown CNTs during the CVD process), (g−i) aerographite
(AG), (j−l) aerographite with incorporated graphene (AG−G)
(the yellow arrows point to nanopores on the surface of aerographite),
and (m−o) carbon nanotube tubes incorporated into a thick carbon
layer (CNTT−g).
SEM images from low to high magnification of the different 3D carbon
structures. (a−c) Carbon nanotube tubes (CNTTs), (d−f)
aerographite with incorporated CNTs (AG−CNTT) (the red arrows
show the grown CNTs during the CVD process), (g−i) aerographite
(AG), (j−l) aerographite with incorporated graphene (AG−G)
(the yellow arrows point to nanopores on the surface of aerographite),
and (m−o) carbon nanotube tubes incorporated into a thick carbon
layer (CNTT−g).
ZnO Conversion to AG via CVD Forms Composites
with Embedded Nanoparticles
We also use a CVD process to
remove the ZnO, resulting in a thin (∼15 nm) film of graphite
around the entire template similar to the graphitic shells in AG.[31] The CVD process can be applied if the ZnO is
coated with either CNTs or graphene (Supporting Information Figure S6). Then, the AG serves as an additional
backbone. This is the case in all of our CVD-based scaffolds, i.e.,
in composites of graphene and aerographite (AG–G) and in composites
of multiwalled CNTs and aerographite (AG–CNTT) (Figure d–l). The modular design
of the fabrication process allows us to change and tailor the surface
topography of the hollow graphitic microtubes. Up to 5 μm long
CNTs are formed perpendicular to the surface of microtubes on AG–G
and AG–CNTT during the CVD process (Figure f). Such CNTs are not formed on pure AG (Figure i).[31] The growth of new carbon nanotubes on AG–G networks
(Figure l, red arrows)
is most likely attributed to the adsorption of carbon atom clusters
on the active sites of the graphene surface during the CVD process.[38]
Carbothermal Reduction
Process Leads to Novel
Types of Graphitic Structures with Embedded CNTs
In the carbothermal
reduction reaction,[37] glucose acts as the
carbon source enabling the reduction of ZnO in a quartz tube furnace
at 950 °C under argon atmosphere. To do so, ZnO templates were
infiltrated with a mixture of glucose and CNTs. The carbothermal reduction
of ZnO to Zn(g)[37] leads to ZnO removal
and to the formation of graphitic shells, thus resulting in the so-called
CNTT–g structure (Figure m–o). We have confirmed the removal of ZnO by
Raman spectroscopy (Figure , CNTT–g graph) (see next paragraph). Furthermore,
this process results in a scaffold with a microstructure that is comparable
to that of the AG–CNTT scaffold (Figure e,n). However, the graphitic shells of the
CNTT–g scaffold appear to be thicker than those of the AG–CNTT
scaffold (Figure n,o).
Additionally, in contrast to the AG–CNTT structures, no additional
CNTs are grown (Figure n) in the CNTT–g case.
Figure 3
Raman spectroscopy of aerographite, ZnO,
CNTT, AG–CNTT,
CNTT–g, AG–G, graphene, and CNT inks.
Raman spectroscopy of aerographite, ZnO,
CNTT, AG–CNTT,
CNTT–g, AG–G, graphene, and CNT inks.Figure shows Raman
spectra (Renishaw 1000 InVia) of all of the carbon-based structures.
Raman spectroscopy is used to examine the structural fingerprint of
each material at a wavelength of 514.5 nm with an incident power of
∼0.1 mW. The graphene and CNT inks were drop-cast onto Si/SiO2 substrates before measurement. For the graphene ink (red
curve), the G peak (∼1586) corresponds to the E2g phonon at the Brillouin zone center, and the D peak located at ∼1350
cm–1 corresponds to the breathing modes of the sp2 carbon atoms and requires a defect for its activation.[39] Our graphene inks are produced by liquid-phase
exfoliation; therefore we attribute this peak to edge defects rather
than to defects in the basal plane.[40] The
two-dimensional (2D) peak located at ∼2700 cm–1 is the D peak overtone and can be fitted by a single Lorentzian,
indicating electronically decoupled graphene monolayers.[41]The aerographite (dark blue curve) shows
a G peak position Pos(G)
∼ 1600 cm–1 and the absence of a distinct
2D peak, indicating the more defective nature of this sample and a
lack of structural order in the aerographite.[42] The AG–G (yellow curve) structure has a similar spectrum
to that of aerographite with D and G peaks located at ∼1350
and ∼1600 cm–1, respectively, indicating
that the material is mostly composed of aerographite and graphene,
given the selective etching of the ZnO scaffold during the CVD reduction.[31] The spectra of the CNT ink (green curve) and
CNT ink with glucose (purple curve) show D, G, and 2D peaks at ∼1350,
∼1580, and ∼2700 cm–1, respectively.
The peaks from the glucose residue are too weak to be observed. Moreover,
the CNTT spectra (gray curve), AG–CNTT (blue curve), and CNTT–g
(pink curve) have D, G, and 2D peaks that demonstrate the presence
of the CNTs, respectively. Finally, the ZnO spectra (brown curve)
display several peaks below 1200 cm–1, predominately
created from the intense peak at 1158 cm–1 attributed
to the 2A1(LO) and 2E1(LO) modes at the Brillouin
zone center.[43] However, no peaks attributed
to ZnO are observed in any of the CNTTs or aerographite scaffolds,
proving the complete removal of the ZnO template.
Scaffold Mechanics can be Tailored Over Several
Orders of Magnitudes
Figure shows Young’s moduli and electrical conductivities
of CNTT, AG–CNTT, CNTT–g, AG, and AG–G. The scaffold
with the lowest stiffness is AG with a Young’s modulus of 16
kPa, which is comparable to previously reported values.[31] AG–G has a Young’s modulus of
up to 27 kPa, thus adding graphene into the graphitic shells of AG
results in a mechanical reinforcement of the scaffold (∼170%).
This reinforcement is in a similar range to that of other graphene-reinforced
porous networks, e.g., graphene/chitosan composites[44] (∼200%). In contrast to AG–G, AG–CNTT
is much stiffer (Figure ), with Young’s modulus reaching ∼22 MPa.
Figure 4
Young’s
modulus (measured under compression) and electrical
conductivity of the 3D CNTT, AG–CNTT, CNTT–g, and AG–G
scaffolds. All structures containing CNTs have a higher Young’s
modulus and conductivity compared to those without CNTs. The values
for pure AG and CNTTs were taken from the corresponding publications,[31,35] whereas the other values were measured using a self-built electromechanical
testing setup.
Young’s
modulus (measured under compression) and electrical
conductivity of the 3D CNTT, AG–CNTT, CNTT–g, and AG–G
scaffolds. All structures containing CNTs have a higher Young’s
modulus and conductivity compared to those without CNTs. The values
for pure AG and CNTTs were taken from the corresponding publications,[31,35] whereas the other values were measured using a self-built electromechanical
testing setup.This reinforcement by
a factor of about 1000 is presumably due
to the reinforcement of CNTs on the nanoscale by self-entanglement.[35] Hence, the mechanical reinforcement of AG by
CNTs is higher than in other CNT-reinforced porous biomaterials, including
gelatin methacrylate (GelMA)–CNT composites[45] and poly(propylenefumarate)–CNT composites.[46] Young’s modulus of CNTT–g (∼4
MPa) is in between the moduli of AG–G and AG–CNTT. These
results confirm that the incorporation of CNTs and graphene into 3D
scaffolds compensates for the typically low mechanical Young’s
moduli of porous structures[47] and that
AG provides a stable backbone for CNTT scaffolds. In addition, the
structural integrity of AG–G scaffolds is demonstrated during
a long-cycle compression test (Figure S7) (Supporting Information Video S1).
Tailoring Scaffold Conductivity
We
also investigated the electrical properties of our scaffolds (Figure , gray squares).
AG–G and AG have similar electrical conductivities of around
0.5 and 0.2 S/m, whereas the conductivities of AG–CNTT and
CNTT–g are about 120 and 130 S/m, respectively (Figure ). Hence, AG–CNTT and
CNTT–g clearly have higher electrical conductivities than CNT-containing
electrospun fibrous composites (3.5 S/m),[48] which are applied in cardiac tissue engineering. The increase in
conductivity of the scaffolds can be mainly attributed to the high
conductivity of CNTs that are embedded in the graphitic shells of
AG. This effect is more pronounced in the case of AG–CNTT and
CNTT–g, presumably as a result of the conductive pathways formed
by the self-entangled CNT networks. It has already been shown that
by adjusting the CNT concentration during the infiltration process,
the conductivity of CNTT can be tailored between 10–6 and 130 S/m.[35] Indeed, CNTT–g
has the highest conductivity (330 S/m) of our scaffolds.
Scaffolds Strongly Adsorb Proteins
Albumin is an adhesive
protein in plasma and can non-specifically
bind to low-dimensional carbon-based materials via electrostatic interactions.[49] Therefore, we checked the albumin adsorption
capacity of the scaffolds using the bicinchoninic acid (BCA) assay.
As shown in Figure , within the first 48 h, albumin adsorption is smaller on AG–G
than on AG–CNTT, whereas its adsorption is very similar on
all scaffolds later on. The highest absolute protein adsorption mass
(30.23–22.6 ± 2.76 mg/cm3) was detected during
the first 2 days of incubation, and the adsorption amount reduced
to approximately two-thirds (23.69–20.64 ± 2.39 mg/cm3) during the third to fourth day of incubation. Overall, protein
adsorption is very similar on all tested scaffolds, although CNTT,
CNTT–g, and AG–CNTT scaffolds adsorb slightly higher
protein amounts (CNTT–g: 77.32 ± 6.95 mg/cm3; CNTT: 70.77 ± 5.33 mg/cm3; AG–CNTT: 68.08
± 6.73 mg/cm3) than AG–G (64.92 ± 7.2
mg/cm3) (Figure a). This might be attributed to the higher protein adsorption
capacity of CNTs than graphene flakes due to van der Waals forces
and electrostatic interactions.[30]
Figure 5
Protein adsorption
on CNTT, AG–CNTT, CNTT–g, and
AG–G during 0–48, 49–96, and 97–144 h
of incubation with albumin solution (1 mg/mL). (a) Absolute protein
adsorption amount per scaffold volume. (b) Absolute protein adsorption
amount per scaffold weight.
Protein adsorption
on CNTT, AG–CNTT, CNTT–g, and
AG–G during 0–48, 49–96, and 97–144 h
of incubation with albumin solution (1 mg/mL). (a) Absolute protein
adsorption amount per scaffold volume. (b) Absolute protein adsorption
amount per scaffold weight.To compare our results of protein adsorption with other studies,
we needed to relate them to the weight of the scaffolds by taking
into account their density (Table ). Figure b shows that protein adsorption per weight of CNTT, CNTT–g,
and AG–CNTT scaffolds is different for different scaffold types
(CNTT–g: 147.9 ± 13.42 mg/g; CNTT: 128.9 ± 9.69 mg/g;
AG–CNTT: 115.14 ± 11.38 mg/g). It is also higher than
on single-walled CNTs and graphene (∼100 mg/g)[30] and on nanoporous silica (∼70 mg/g).[50] In addition, due to its low density, AG–G
adsorbs even more protein per weight (1512.25 mg/g) after 144 h, e.g.,
about 10 times more than our other scaffolds. The albumin adsorption
on AG–G even after 48 h (527 mg/g) is comparable to that of
graphene oxide (∼500 mg/g).[30]
Table 1
Full Names and Abbreviations of Fabricated
Materials and Scaffolds in Our Study
full name
abbreviation
density (g/cm3)
porosity
(%)
aerographite
AG
∼200 × 10–6 [31]
up to ∼99.9[31]
carbon nanotube
tube
CNTT
∼0.064
∼94
carbon nanotube tube–glucose
CNTT–g
∼0.061
∼90
aerographite–carbon nanotube tube
AG–CNTT
∼0.069
∼95
aerographite–graphene
AG–G
∼0.005
∼96
Biocompatibility of the Carbon-Based Scaffolds
Biocompatibility of the scaffolds is investigated by methylthiazolyldiphenyl-tetrazolium
bromide (MTT) metabolic activity and WST-1 assays, as well as by proliferation
studies. Figure shows
the results for CNTT, CNTT–g, AG–CNTT, and AG–G
samples using an MTT assay, demonstrating that all scaffolds are biocompatible,
hosting a similar number of viable cells as the negative control.
As cell adhesion is not possible on pristine AG without functionalization,[33] biocompatibility of AG is not investigated again
in this study.
Figure 6
Percentage of viable cells (rat embryonic fibroblasts
wild type,
REF52wt) relative to the negative control, as determined in an MTT
assay (four independent experiments, five technical repeats in each
of them). The error bars denote standard deviation.
Percentage of viable cells (rat embryonic fibroblasts
wild type,
REF52wt) relative to the negative control, as determined in an MTT
assay (four independent experiments, five technical repeats in each
of them). The error bars denote standard deviation.Figure shows the
proliferation rate of rat embryonic fibroblast cells (REF52wt) cultured
on CNTT, CNTT–g, AG–CNTT, and AG–G samples relative
to cells cultured on a culture dish. CNT-containing scaffolds (CNTT,
CNTT–g, and AG–CNTT) lead to higher proliferation rates
(ca. 300–320%) than graphene-containing structures (AG–G)
(∼240%) after 7 days in culture. As fibroblast proliferation
depends on matrix stiffness,[51] an increase
in stiffness might also lead to an increase in fibroblast proliferation,[52] which can be attributed to the translation of
mechanical cues from the matrix into a biochemical one via mechanosensory
receptors such as focal adhesions.[53] Specifically,
it has been reported that fibroblasts need substrates with a minimum
Young’s modulus of 20–30 kPa to spread and 2 MPa to
spread and polarize perfectly.[51] Hence,
the huge difference in Young’s moduli between CNT-reinforced
scaffolds (between 4 MPa in CNTT–g and 23 MPa in CNTT) and
graphene-reinforced scaffolds (27 kPa in AG–G) can explain
the higher proliferation rate of fibroblast cells on CNTT, AG–CNTT,
and CNTT–g compared to AG–G.
Figure 7
Results of WST-1 metabolic
tests of cell proliferation rate (REF52wt).
Mean values were determined from four independent experiments, each
including five technical repeats. The error bars denote standard deviation,
the raw data were normalized to the control, and a correction factor
was applied to account for unspecific adsorption (see Materials and Methods).
Results of WST-1 metabolic
tests of cell proliferation rate (REF52wt).
Mean values were determined from four independent experiments, each
including five technical repeats. The error bars denote standard deviation,
the raw data were normalized to the control, and a correction factor
was applied to account for unspecific adsorption (see Materials and Methods).
Carbon-Based Scaffolds as Porous Structures
for Cell Growth
Fibroblast cells (REF52wt) were cultured
for 7 days on the scaffolds to investigate cellular growth at the
surface and inside. SEM images of critically point-dried cells (Figure ) revealed that cells
(highlighted in green) are attached to the surface of the scaffolds.
Fibroblasts do not migrate strongly within a 3D network[54] but proliferate so that we typically observe
several cells at one location. Cells are sprawled and elongated between
the filaments of scaffolds and have a polygonal shape on all four
scaffold types. Close-up images on the adhesion sites reveal tightly
anchored membranes of cells to CNTs and graphene on the surface of
structures, comparable to fibroblasts on AG functionalized with cyclic
arginylglycylaspartic acid (RGD) peptides.[33]
Figure 8
SEM
images of REF52wt cells after 7 days of culturing within (a–c)
AG–CNTT, (d, e) CNTT–g, (g–i) AG–G, and
(j–l) CNTT scaffolds. Left: Medium-sized overview images illustrating
the growth of cells between the fibers in different directions and
planes; middle: zoomed-in images showing well-stretched cells along
the fibers and their elongation; and right: close-up images on the
adhesion sites, proving the presence of strong contacts between the
materials and the cell membrane (yellow arrows).
SEM
images of REF52wt cells after 7 days of culturing within (a–c)
AG–CNTT, (d, e) CNTT–g, (g–i) AG–G, and
(j–l) CNTT scaffolds. Left: Medium-sized overview images illustrating
the growth of cells between the fibers in different directions and
planes; middle: zoomed-in images showing well-stretched cells along
the fibers and their elongation; and right: close-up images on the
adhesion sites, proving the presence of strong contacts between the
materials and the cell membrane (yellow arrows).To investigate cell adhesion at the molecular level, we studied
the presence of paxillin in adhesion structures. Paxillin is a component
of focal adhesion clusters;[55] therefore,
it can be assumed that more paxillin in contact with our scaffolds
is related to stronger cell adhesion. We used cells that were stably
transfected with yellow fluorescent protein (YFP)-paxillin and imaged
the paxillin in fluorescence microscopy. Imaging fluorescence in 3D
matrices compared to 2D is challenging.[56] Due to the low intensity of paxillin in the cells and the high light
absorbance of our scaffolds,[31] imaging
the paxillin adhesion sites was only possible by using long acquisition
times (5 s), which resulted in background signals. Nevertheless, paxillin-containing
adhesion sites can be distinguished around the filaments of the scaffolds.
Based on the fluorescence images (Figures a–d and S8), more adhesion clusters can be detected on CNT-reinforced scaffolds
than on graphene-reinforced scaffolds. This could again result from
the different mechanical properties of the scaffolds, but it is also
in agreement with cell studies on multiwalled CNTs showing that NIH-3T3
fibroblasts form larger adhesion clusters on CNTs than on graphene.[57]
Figure 9
High-magnification fluorescence images of REF52 YFP-paxillin
cells
on 3D scaffolds: (a) CNTT, (b) AG–CNTT, (c) CNTT–g,
and (d) AG–G. YFP-paxillin is mainly distributed in small clusters
(YFP; yellow), the nucleus was stained with Hoechst (4′,6-diamidino-2-phenylindole,
DAPI; blue), and actin fibers were visualized by phalloidin (red).
Fluorescence imaging took place in optical sections approximately
between 50 and 100 μm from the surface of the material. Adhesion
sites are detectable (a, b) as tiny yellow spots mainly around the
tube-shaped filaments of CNTT and AG–CNTT structures. Due to
the low intensity and small size of YFP-paxillin (c, d), they are
not clearly observed, which is also obscured by red (actin fibers)
and blue (nucleus) channels in multichannel images. The green dashed
arrows illustrate the protrusion direction of the cells.
High-magnification fluorescence images of REF52 YFP-paxillin
cells
on 3D scaffolds: (a) CNTT, (b) AG–CNTT, (c) CNTT–g,
and (d) AG–G. YFP-paxillin is mainly distributed in small clusters
(YFP; yellow), the nucleus was stained with Hoechst (4′,6-diamidino-2-phenylindole,
DAPI; blue), and actin fibers were visualized by phalloidin (red).
Fluorescence imaging took place in optical sections approximately
between 50 and 100 μm from the surface of the material. Adhesion
sites are detectable (a, b) as tiny yellow spots mainly around the
tube-shaped filaments of CNTT and AG–CNTT structures. Due to
the low intensity and small size of YFP-paxillin (c, d), they are
not clearly observed, which is also obscured by red (actin fibers)
and blue (nucleus) channels in multichannel images. The green dashed
arrows illustrate the protrusion direction of the cells.A further important contribution to cell adhesion
is the cytoskeleton,
where networks of actin fibers determine cell shape and movements.[58] To investigate cellular actin networks on our
scaffolds, we investigated the fluorescence of phalloidin to detect
actin fibers. Again, imaging deeply inside the scaffolds was impaired
by the strong light absorbance of CNTs and graphene, restricting it
to the first 300 μm from the surface. As shown in Figure , well-developed actin fibers
(in red) are indeed present within the fibroblasts. Furthermore, the
cells are polarized and have oriented actin bundles. Figure a–c also shows that
actin fibers on CNT-reinforced scaffolds (CNTT, AG–CNTT, and
CNTT–g) are mainly oriented in the direction of fibroblast
protrusions. Although many actin fibers can be detected in cells grown
on AG–G (Figure d), they are neither well polarized nor elongated like the actin
fibers in the cells on CNT-reinforced scaffolds (CNTT, AG–CNTT,
and CNTT–g). These results could again originate from the mechanical
properties of our materials, similarly to proliferation rate and paxillin
clusters.
ECM-Mimetic Scaffolds
The open porous
structure of our scaffolds with large free volumes (>95%) should
be
highly beneficial for the growth and migration of cells, as the open
pores allow the cells to freely migrate and proliferate within the
scaffolds.[2] Moreover, in contrast to other
studies on 3D porous structures, in which the alignment of CNTs[24] or graphene sheets[59] confined the accessibility of cavities, our carbon framework structures
provide accessible interconnected pores from all sides (Figure ). In addition, the hierarchical
organization of structural elements, specifically self-entangled CNTs
in the form of microtubes, is reminiscent of the hierarchical nano-
and microstructure of the ECM. It should therefore in principle be
possible to employ our modular design strategy to generate different
composition-dependent structural and mechanical features similar to
collagen[60] in the ECM. As our scaffolds
strongly adsorb proteins, it should also be possible to adsorb adhesion
ligands typically present in ECM proteins, such as RGD.[61] In this way, the scaffolds can be modified such
that they finally mimic the ECM structurally and biochemically, but
with the additional feature of conductivity.
Conclusions
In summary, we have introduced a novel modular
design strategy
to produce carbon-based scaffolds that mimic the ECM and allow 3D
cellular growth. Biocompatibility studies revealed a high proliferation
rate of fibroblasts as well as the ability of fibroblasts to develop
paxillin-containing adhesion sites. In addition, the cells sprawl
and elongate between single filaments of the scaffolds. Tuning electrical
conductivity (ca. 0.1–330 S/m), stiffness (ca. 10–3–0.7 MPa), and protein adsorption and porosity (up to ∼99%)
of the scaffold provides great possibilities for culturing cells.
Based on the proven protein adsorption capacity of the scaffolds,
they are suitable for biofunctionalization and addition of other biochemical
cues. This is particularly relevant in tissue engineering of electrically
excitable tissue, e.g., heart tissue, as our scaffolds have tunable
electrical conductivity. In addition, the fabrication procedure is
very simple and can in principle be adopted to develop 3D assemblies
from other low-dimensional nanomaterials (e.g., bioactive ceramic
nanoparticles, polymeric nanofibers) by only changing the nanoparticle
dispersion, as long as the nanoparticles are connected via strong
physical contacts such as entanglement, fusion, or physical locks.
This makes the scaffolds promising candidates as conductive ECM-mimetic
materials in many applications from regenerative medicine to 3D cell
culture.
Materials and Methods
Fabrication of 3D Carbon Scaffold Materials
Templates
of tetrapod-shaped ZnO were fabricated by a previously
developed flame transport synthesis method.[32] The resulting loose powder was pressed into a cylindrical shape
(h = 3 mm, d = 6 mm) at a density
of 0.3 g/cm3. The pellets were subsequently sintered for
5 h at 1150 °C to obtain an interconnected 3D ZnO network.[32] This structure is the sacrificial template used
for fabrication of carbon-based scaffolds, i.e., freestanding CNTT,
AG–CNTT, and AG–G.For the fabrication of the
CNTT scaffolds, the porous ZnO templates were infiltrated with an
aqueous dispersion of multiwalled CNTs (1 wt %, CARBOBYK-9810, BYK
Additives & Instruments) using a self-built computer-controlled
syringe. The length of the CNTs can be on the order of a few micrometers,
with diameters in the range of 20–60 nm.[34] After infiltration of ∼90 μL of the CNT solution,
the samples were dried under ambient conditions for at least 1 h.
The process was repeated six times so that CNTs covered the ZnO template.
Then, the ZnO backbone was removed by immersing the composite in a
1 M HCl solution overnight. The HCl solution was replaced by washing
with pure ethanol (five times). Finally, the etched structures were
dried in a critical point dryer (EMS 3000) by using the automatic
mode. The purge time was set to 15 min to ensure that all ethanol
was washed out, leaving freestanding CNTTs.[3]To alter the CNTT structures further, we added glucose (1
wt %)
to the CNT ink used for infiltration. The infiltration into a ZnO
template was then repeated four times. After that, the samples were
transferred into a quartz tube furnace and heated to 950 °C under
argon atmosphere for 2 h. During this process, the ZnO was removed
by carbothermal reduction,[45] leading to
CNTT–g, which contains both the remnants of the glucose and
embedded CNTs.For the synthesis of AG–CNTT scaffolds,
the CNT-coated ZnO
templates were exposed to a CVD process, as reported previously.[31] Briefly, the ZnO template was replicated into
aerographite at ∼760 °C under a hydrogen and argon atmosphere
in the presence of toluene as the source of carbon.[62] Thereby, the CNTs were embedded into the graphite microtubes
of aerographite while the ZnO was simultaneously etched by H2.A similar process was used to generate composites of graphene
and
aerographite (AG–G). The graphene ink was made by dispersing
graphite flakes (12 mg/mL, Sigma-Aldrich No. 332461) and Triton X-100
stabilization agent (1.7 mg/mL) in deionized water, followed by sonication
(Fisherbrand FB15069, Max power 800 W) for 9 h.[63,64] The dispersion was then centrifuged (Sorvall WX100 mounting a TH-641
swinging bucket rotor) at 5k rpm for 1 h to remove the thick flakes.
The supernatant (i.e., the top 70%) of the dispersion was then decanted
to produce the final graphene ink. In Figure S1, optical absorption spectroscopy (Cary 7000) is used to estimate
the flake concentration.[65] The flake concentration
in the graphene ink is obtained via the Beer–Lambert law, which
links the absorbance A = αcl with the beam path length l (m), the flake concentration c (g/L), and the absorption coefficient α (L/(g m)).
The graphene ink was diluted 1:20 with water/Triton X-100. An absorption
coefficient of α ∼ 1390 L/(g m) for the graphene ink
at 660 nm was utilized,[66] estimating a
graphene flake concentration of ∼0.09 mg/mL, consistent with
previous reports of graphene-based inks.[40,67] The spectrum of the graphene ink is mostly featureless due to the
linear dispersion of the Dirac electrons, while the peak in the UV
region is a signature of the van Hove singularity in the graphene
density of states.[68] The ZnO scaffold was
infiltrated 50 times to achieve coverage of graphene around the ZnO
tetrapods, due to the low concentration of the ink (0.09 mg/mL). After
infiltration, the CVD process (see process specification above) was
used to embed the graphene flakes into aerographite microtubes and
to remove the ZnO template.
Mechanical and Electrical
Characterizations
of 3D Carbon Scaffold Materials
Mechanical and electrical
characterizations were performed using a self-built setup consisting
of a Maerzhaeuser Wetzlar HS 6.3 micromanipulator, which is driven
by a stepper motor, a Kern PLE 310-3N precision balance, and a Keithley
6400 source meter. A self-written LabView program controls all components.
To avoid any vibration damping, the whole setup is located on a very
rigid aluminum plate in a box filled with sand, which is mounted on
a vibration-isolated table. Stress–strain curves were measured
by placing the sample in between the micromanipulator and the precision
balance. For compression tests, the micromanipulator deforms the sample
by a user-defined step size. After each step, the program measures
the force of the balance after a short settling time has been elapsed.
These steps are repeated until the maximum deformation defined by
the user is reached. Afterwards, the direction of the deformation
is inverted until the micromanipulator comes back to its original
position. Finally, the stress–strain curves are evaluated and
Young’s modulus is determined. With respect to the cyclic compression
test, the same procedure was repeated several times. The wait time
between each compression step was set to 0 s, and the deformation
speed was set to 40 μm/s. To demonstrate the structural integrity,
a video was recorded during the long-cycle compression test with a
USB camera. Furthermore, the same setup also allows to record the
current–voltage characteristics using a Keithley 6400 source
meter in the four-wire sense mode. For electrical measurements, the
carbon structures were connected to thin copper plates on both sides
by using conductive silver paste. It is noteworthy that only a thin
layer of paste was needed to ensure good electrical connection of
the porous material to the measurement setup. Current–voltage
curves were measured in a voltage range of up to 5 V. Finally, the
resistance was calculated from the obtained data and converted to
conductivity to give meaningful values for each structure.
Cell Culture and Cell Seeding on Scaffolds
Rat embryonic
fibroblasts (REF52), both as wild type and stably
transfected with YFP-paxillin (REF YFP-Pax),[69] were cultured in Dulbecco’s modification of Eagle medium
(Biochrom, Germany) at 37 °C, 5% CO2 at ∼90%
humidity. The medium was supplemented with 10% fetal bovine serum
(Biochrom, Germany) and 1% penicillin/streptomycin (Sigma-Aldrich,
Germany). To expel any traces of remaining zinc from the scaffold
fabrication process prior to cell experiments, all samples were immersed
in culture medium for 14 days after autoclaving at 121 °C. Shortly
before the cell experiments, the cells were immersed in a fresh culture
medium, counted with a cell counter (Scepter, Merck Millipore, Germany),
and ∼20 000 cells were seeded on each scaffold in 24-well
plates. The cells were incubated on the scaffolds for 1, 3, or 7 days.
Cell Staining
To investigate the
cell morphology, proliferation, and adhesion on the scaffolds, cell
nuclei were stained with DAPI (Thermo Fisher, Germany), and actin
stress fibers were stained with phalloidin (Alexa Fluor 647 phalloidin,
Thermo Fisher, Germany). Imaging was carried out using fluorescence
microscopy (IX81, Olympus, Germany), and images were processed with
cellSens Dimension (Olympus, Germany). For electron microscopy investigations,
the cells were fixed by paraformaldehyde (Thermo Fisher, Germany)
and dried using critical point drying (EMS 3000). A thin layer of
gold was sputtered (Bal-Tec SCD 050, 30 mA, 30 s) onto the sample
prior to scanning electron microscopy (SEM) (Ultra Plus Zeiss SEM,
5 kV). The cells in SEM images were highlighted in green (via Adobe
Photoshop CC 2017) to distinguish them more easily.
Viability and Proliferation Assay
The number of living
cells on the scaffolds was quantified by a WST-1
proliferation assay after 1, 3, and 7 days of incubation. In this
assay, the number of living cells can be acquired from the amount
of dye produced via bioreduction of stable tetrazolium salt WST-1
(Sigma-Aldrich, Germany). The amount of formazan is proportional to
the number of cells (Cell Proliferation Reagent WST-1 Protocol, Sigma-Aldrich,
Germany). The experiments were carried out as follows: After seeding
the cells onto each sample (see specification above), the scaffolds
were first washed with phosphate buffered saline and then incubated
with a WST-1-containing medium for 4 h. The concentration of the formazan
dye was quantified by a multiwell spectrophotometer (Bio-Tek μQuant)
after removal of the samples from the wells. CNTs tend to react with
tetrazolium salts;[70] thus, the proliferation
rates were normalized to the absorption of the detected tetrazolium
on control samples without cells. The amount of tetrazolium reacting
with the scaffolds was determined for each sample as explained in
the following: 10 000 cells were cultured for 24 h in 96-well
plates prior to adding scaffolds to half of the wells, with the other
half serving as scaffold-free control. Then, all of the wells were
incubated for an additional time of 4 h with the WST-1 reagent before
quantification of the formazan (i.e., product of tetrazolium cell
reaction) amount in each well by a multiwell spectrophotometer. The
amount of tetrazolium that reacted with the scaffold was calculated
for each specimen by subtracting the amount of formazan of scaffold-containing
wells from scaffold-free control wells. The difference in absorbance
between the scaffolds and controls was used as a correction factor
for the data generated with the WST-1 assay.In addition, the
viability of cells was tested according to the ISO 10993 norm. Briefly,
10 000 cells/100 μL REF52 cells were cultured in a 96-well
plate for 24 h. For medium extraction, the scaffolds were incubated
in a culture medium at 37 °C for 72 h. The cultured cells were
incubated with either untreated medium or extracted medium for a further
24 h. To determine cell viability, the colorimetric methylthiazolyldiphenyl-tetrazolium
bromide metabolic activity assay (MTT; Sigma-Aldrich, Germany) was
used. The cells in untreated medium served as the negative control,
and the cells in 20% dimethyl sulfoxide were the positive control.
The absorbance was measured at 490 nm (absorption wavelength of formazan)
and 600 nm as a reference. The results from the cultured cells with
extracted medium were normalized to the values measured for the negative
control.
Protein Adsorption Rate
The protein
adsorption rate on the scaffolds was measured by using bovine serum
albumin (Pierce; Thermo Fisher, Germany) as a model protein. Protein
solution (1 mL, 1 mg/mL) was added per scaffold and incubated at 37
°C in a humidified incubator (CO2 5%, humidity 95%).
After 48 h, nonadhered proteins were carefully removed by a pipette
and saved for recording. The scaffolds were washed with saline and
incubated for a further 48 h after addition of 1 mL of protein solution.
The same procedure was repeated after 48 h. The concentration of protein
in the supernatant was measured using a Micro BCA protein assay (Pierce;
Thermo Fisher, Germany). To do so, 10 μL of supernatant was
mixed with 200 μL of working reagent and incubated for 30 min.
The absorbance was measured using a microplate reader (Bio-Tek μQuant)
at 570 nm. After calibrating the results with a standard curve provided
by the BCA protein assay kit (Pierce; Thermo Fisher, Germany), the
protein adsorption rate was calculated by subtracting the residual
protein concentration from the initial protein concentration.
Authors: A C Ferrari; J C Meyer; V Scardaci; C Casiraghi; M Lazzeri; F Mauri; S Piscanec; D Jiang; K S Novoselov; S Roth; A K Geim Journal: Phys Rev Lett Date: 2006-10-30 Impact factor: 9.161