Fang Pan1,2, King Hang Aaron Lau3, Phillip B Messersmith4, Jian R Lu2, Xiubo Zhao1,5. 1. School of Pharmacy, Changzhou University, Changzhou 213164, China. 2. School of Physics & Astronomy, University of Manchester, Manchester M13 9PL, U.K. 3. Department of Pure & Applied Chemistry, University of Strathclyde, Glasgow G1 1XL, U.K. 4. Department of Materials Science and Engineering, Department of Bioengineering, University of California-Berkeley, Berkeley California 94720, United States. 5. Department of Chemical and Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.
Abstract
Polypeptoid-coated surfaces and many surface-grafted hydrophilic polymer brushes have been proven efficient in antifouling-the prevention of nonspecific biomolecular adsorption and cell attachment. Protein adsorption, in particular, is known to mediate subsequent cell-surface interactions. However, the detailed antifouling mechanism of polypeptoid and other polymer brush coatings at the molecular level is not well understood. Moreover, most adsorption studies focus only on measuring a single adsorbed mass value, and few techniques are capable of characterizing the hydrated in situ layer structure of either the antifouling coating or adsorbed proteins. In this study, interfacial assembly of polypeptoid brushes with different chain lengths has been investigated in situ using neutron reflection (NR). Consistent with past simulation results, NR revealed a common two-step structure for grafted polypeptoids consisting of a dense inner region that included a mussel adhesive-inspired oligopeptide for grafting polypeptoid chains and a highly hydrated upper region with very low polymer density (molecular brush). Protein adsorption was studied with human serum albumin (HSA) and fibrinogen (FIB), two common serum proteins of different sizes but similar isoelectric points (IEPs). In contrast to controls, we observed higher resistance by grafted polypeptoid against adsorption of the larger FIB, especially for longer chain lengths. Changing the pH to close to the IEPs of the proteins, which generally promotes adsorption, also did not significantly affect the antifouling effect against FIB, which was corroborated by atomic force microscopy imaging. Moreover, NR enabled characterization of the in situ hydrated layer structures of the polypeptoids together with proteins adsorbed under selected conditions. While adsorption on bare SiO2 controls resulted in surface-induced protein denaturation, this was not observed on polypeptoids. Our current results therefore highlight the detailed in situ view that NR may provide for characterizing protein adsorption on polymer brushes as well as the excellent antifouling behavior of polypeptoids.
Polypeptoid-coated surfaces and many surface-grafted hydrophilic polymer brushes have been proven efficient in antifouling-the prevention of nonspecific biomolecular adsorption and cell attachment. Protein adsorption, in particular, is known to mediate subsequent cell-surface interactions. However, the detailed antifouling mechanism of polypeptoid and other polymer brush coatings at the molecular level is not well understood. Moreover, most adsorption studies focus only on measuring a single adsorbed mass value, and few techniques are capable of characterizing the hydrated in situ layer structure of either the antifouling coating or adsorbed proteins. In this study, interfacial assembly of polypeptoid brushes with different chain lengths has been investigated in situ using neutron reflection (NR). Consistent with past simulation results, NR revealed a common two-step structure for grafted polypeptoids consisting of a dense inner region that included a mussel adhesive-inspired oligopeptide for grafting polypeptoid chains and a highly hydrated upper region with very low polymer density (molecular brush). Protein adsorption was studied with humanserum albumin (HSA) and fibrinogen (FIB), two common serum proteins of different sizes but similar isoelectric points (IEPs). In contrast to controls, we observed higher resistance by grafted polypeptoid against adsorption of the larger FIB, especially for longer chain lengths. Changing the pH to close to the IEPs of the proteins, which generally promotes adsorption, also did not significantly affect the antifouling effect against FIB, which was corroborated by atomic force microscopy imaging. Moreover, NR enabled characterization of the in situ hydrated layer structures of the polypeptoids together with proteins adsorbed under selected conditions. While adsorption on bare SiO2 controls resulted in surface-induced protein denaturation, this was not observed on polypeptoids. Our current results therefore highlight the detailed in situ view that NR may provide for characterizing protein adsorption on polymer brushes as well as the excellent antifouling behavior of polypeptoids.
Protein adsorption
onto solid substrates is a widespread phenomenon,
and its prevention is critical for proper functioning of medical devices
and implants, as well as in bioseparation and other applications involving
surfaces prone to contamination.[1−6] The adsorption of proteins in these cases is largely of a nonspecific
nature, and there is little control over the structure and composition
of the adsorbed protein layer. When proteins from blood are adsorbed
onto the surfaces of medical implants, the interfacial processes could
undermine device integration at an early stage, trigger adverse cellular
responses, and compromise the device’s performance and fate.
In the use of porous media (e.g., porous filtration membranes or packed
columns), protein-surface interactions form an important basis for
separation and purification and even the tuning of refoldable 3D structures.
However, irreversibly adsorbed proteins not only reduce the flux but
also pose the risk of cross-contamination. Therefore, techniques or
materials that can effectively inhibit nonspecific protein adsorption
have a variety of applications.A number of factors affect the
extent of protein adsorption or
protein-substrate interactions.[4,6−12] These include protein size, shape, stability, charge and charge
distribution, concentration, pH, and ionic strength. Surface properties
of the substrate material such as its chemical nature, hydrophobicity,
charge, and charge density also play important roles. Electrostatic
and hydrophobic interactions are major driving forces of protein adsorption
on hydrophilic and hydrophobic surfaces, respectively.[13] High protein adsorption generally occurs on
hydrophobic surfaces. On the other hand, a range of strategies related
to surface wetting/hydrophobicity have been explored to minimize adsorption,
including air-trapping superhydrophobic surfaces as well as highly
hydrated zwitterionic surfaces.[1,6] Once adsorbed, further
interactions between protein molecules and the interface, including
dissociation and re-association of hydrogen bonding and other intermolecular
interactions, may result in protein structural deformation and possible
unfolding.Antifouling polymer brushes have been a main approach
developed
to reduce protein adsorption.[3,5,6,14] Polymers such as poly(vinyl chloride),
poly(ethylene oxide), poly(etherurethane), poly(dimethylsiloxane),
poly(N-isopropylacrylamide), and poly(tetrafluoroethylene)
and their copolymers can provide different extents of protein resistance,
but their hemo-compatibility is often poor.[3,15] Poly(ethylene
glycol) (PEG) and related graft co-polymers have also been widely
reported, although in some cases they may encounter chemical or enzymatic
degradation.[16] In our previous studies,
we have demonstrated that coatings with zwitterionic phosphorylcholine
(PC) containing copolymers can substantially reduce protein adsorption.[3,4] We also reported antifouling brushes composed of peptoids, which
mimic the polypeptide backbone.[17−19] However, overall, neither the
solid-liquid interfacial structure of peptoid and other polymer brushes
nor the physical state of residual proteins subsequently adsorbed
has been well studied. Furthermore, most studies focus on short-term
experiments demonstrating “zero” adsorption of novel
systems, but fouling and subsequent protein-mediated interactions,
nonetheless, occur in practical settings, not least around defects
sites and as antifouling layers degrade over time.[6]In this work, we report recent studies of in situ neutron reflection (NR) dedicated to improving this
part of understanding.
Specular NR is capable of quantitative determination of the thickness
and uniformity of an interfacial layer with subnanometer sensitivity
along the surface normal direction.[7,9,11,20−24] It effectively determines how the volume fraction (ϕ) of the
layer varies with the distance perpendicular to the interface. The
technique has been widely used in determining the interfacial layer
structure of a variety of soft matters such as surfactants,[25−30] peptides,[21,22,25,26,31,32] proteins,[33−37] antibodies,[2,38−43] DNAs,[44,45] polymers,[44] and
lipids.[36,46] As an example system, we employed a set
of peptoid peptidomimetic polymers (PMPs) that we have previously
demonstrated to prevent protein adsorption and cell attachment above
certain chain length-dependent critical grafted chain densities.[16,18,47] PMPs form an excellent model
brush system because of their exact chain lengths controlled by solid
phase synthesis.[18,48]From optical matrix analysis
of NR reflectivity profiles, we were
able to obtain polymer density height-profiles of grafted PMP layers.
Focusing on intermediate PMP-grafted densities that allowed some protein
adsorption, we likewise obtained adsorbed layer profiles of two model
proteins with a similar isoelectric point (IEP)-humanserum albumin
(HSA, 67 kDa; IEP = 4.8) and the much larger fibrinogen (FIB, 340
kDa; IEP = 4.3). The NR technique enabled in situ measurements of proteins interacting with the underlying brush in
a hydrated state, simulating native biological environments. We were
therefore able to characterize the heterogeneous brush and adsorbed
protein layer profiles that depended on both the protein, the experimental
pH, as well as on the brush chain length, thus informing the future
design of antifouling polymer brushes.
Results and Discussion
In this work, NR has been used to investigate protein adsorption
on grafted PMPs at the solid-liquid interface, with the substrate
being the SiO2 surface on a silicon crystal block and the
solution being aqueous buffer containing the peptoid or protein (see the Supporting Information for NR chamber configuration).
The PMP is a previously reported design containing two parts (Figure ): a mussel adhesive-inspired
pentapeptide (DOPA-Lys-DOPA-Lys-DOPA) and a peptoid antifouling chain.[17] The short DOPA pentapeptide provides robust
adhesion of the coupled peptoid chain to wet surfaces. DOPA has been
used to couple a variety of molecules on diverse substrates without
affecting the functionality of the immobilized molecule.[49] Therefore, we believe that DOPA will simply
serve to immobilize PMP and not interfere with antifouling properties.
Figure 1
Chemical
structure of PMPs (PMP) where n = 15, 20, 30, and 50, with an antifouling polypeptoid
segment and DOPA-Lys-DOPA-Lys-DOPA pentapeptide surface adhesion unit.
Chemical
structure of PMPs (PMP) where n = 15, 20, 30, and 50, with an antifouling polypeptoid
segment and DOPA-Lys-DOPA-Lys-DOPA pentapeptide surface adhesion unit.The chosen peptoid homopolymer (“polypeptoid”)
has
methoxyethyl side chains resembling the repeating unit of PEG.[17,47] We have previously shown that this overall PMP design is able to
prevent protein adsorption as well as fibroblast and bacterial cell
attachment above certain “critical” surface-grafted
chain densities that range from 0.4 to 0.8 chain/nm2 as
the chain length decreases from 50 to 15 repeating units.[16−18,47] In this study, we focus on lower
chain densities. This allowed us to observe some limited protein adsorption
in order to facilitate investigation of the effects of chain length,
protein size, and buffer pH, all of which are major variables controlling
protein interactions with a polymer brush. We have previously used
such a methodology to study differences in electrostatic interactions
of various zwitterionic antifouling peptoid designs.[18] These subcritical densities also mimic situations inevitably
encountered in practical applications, such as defect sites and long-term
degradation of polymer brush surfaces.[6]
PMP
Grafting Analysis
Typical NR data for grafting
of polypeptoids 15, 20, 30, and 50-mer long are shown in Figure . Grafting of polypeptoids
was evident from the deviation of reflectivity profiles from the reference
measured at the bare SiO2/D2O interface control
(Figure A). Reflectivity
profiles were analyzed using the widely adopted optical matrix approach.[50] Analysis was pursued by first calculating a
reflectivity profile based on an assumed interfacial structure and
then comparing it with the measured one. The process was iterated
until an acceptable fit was obtained within the experimentally sensitive Q range of 0.012–0.25 Å–1.
The parameters obtained from optical matrix data analysis are listed
in Table , and the
molecular weights and the scattering length densities (SLDs) obtained
from NR fitting are summarized in Table S1.
Figure 2
(A) Representative plots of NR profiles of PMPs at the interface
of the SiO2 surface and D2O buffer (20 mM phosphate,
pH 7). Data after 1 h immersion of PMP15 (black and red)
and PMP50 solutions (green and blue), both at 0.1 mM before
(△) and after buffer wash (○) are shown. The solid lines
are the best fits to the measured data. The dashed line is the bare
SiO2/D2O reference. For clarity, PMP50 data have been shifted down 1 order of magnitude along the vertical
axis, and error bars are only shown in one set of data. The thickness
of SiO2 was found to be 13 ± 1 Å. Parameters
obtained by the data fitting are shown in Table . (B) Two-step polymer volume density plots
as a function of height from the SiO2 surface measured
for PMP (n = 15, 20,
30, and 50). The corresponding chain densities (σ) are shown
in the legend.
Table 1
Best Fit Parameters
from the Experimental
Data Shown in Figure A
samples/conc
τ ± 1 (Å)
(ρ ± 0.05) × 10–6 (Å–2)
φp
A (Å2)
Γ (mg m–2)
σ (nm–2)
PMP15/0.1 mM
16
3.4
0.702
284
1.51
0.35
18
6.0
0.083
PMP15/0.1 mM buffer
wash
12
3.4
0.702
377
1.14
0.27
14
6.0
0.083
PMP20/0.1 mM
13
3.4
0.689
416
1.26
0.24
18
5.9
0.105
PMP20/0.1 mM buffer
wash
12
3.4
0.689
463
1.13
0.22
14
5.9
0.105
PMP30/0.1 mM
15
3.2
0.719
522
1.37
0.19
16
6.0
0.080
PMP30/0.1 mM buffer
wash
12
3.4
0.674
679
1.05
0.15
15
6.0
0.080
PMP50/0.1 mM
30
5.0
0.303
835
1.32
0.12
35
6.0
0.079
PMP50/0.1 mM buffer
wash
30
5.2
0.258
942
1.17
0.11
35
6.0
0.079
(A) Representative plots of NR profiles of PMPs at the interface
of the SiO2 surface and D2O buffer (20 mM phosphate,
pH 7). Data after 1 h immersion of PMP15 (black and red)
and PMP50 solutions (green and blue), both at 0.1 mM before
(△) and after buffer wash (○) are shown. The solid lines
are the best fits to the measured data. The dashed line is the bare
SiO2/D2O reference. For clarity, PMP50 data have been shifted down 1 order of magnitude along the vertical
axis, and error bars are only shown in one set of data. The thickness
of SiO2 was found to be 13 ± 1 Å. Parameters
obtained by the data fitting are shown in Table . (B) Two-step polymer volume density plots
as a function of height from the SiO2 surface measured
for PMP (n = 15, 20,
30, and 50). The corresponding chain densities (σ) are shown
in the legend.The fitting to the bare SiO2/D2O interface
led to the native oxide layer thickness of 13 Å and its SLD of
3.4 × 10–6 Å–2. Because
the SLD for this layer was the same as commonly accepted values of
solid bulk SiO2, the result indicated a void-free and smooth
SiO2 substrate surface. Subsequent analysis of polypeptoid
grafting was undertaken by assuming that the structure of the SiO2 layer remained unchanged during the course of the experiments.Grafting of PMP (n = 15, 20, 30, and 50) was undertaken by flowing polypeptoid solutions
through the NR sample chamber over the SiO2 substrate.
The attached amount of PMP did not vary much against concentration
within the concentration range studied (from 0.03 to 0.3 mM, after
1 h immersion). The results shown in Figure and throughout this report are all based
on brushes obtained at 0.1 mM.Data analysis revealed that the
distribution of grafted PMP chains
of all chain lengths can be fitted to a common two-step model differing
in polymer density (Figure B). The inner slice close to the SiO2 surface had
thicknesses (τ) of 16–30 Å with corresponding SLD
of 3.4-5.2 × 10–6 Å–2, while the second upper slice had thicknesses of 18–35 Å
and SLD of 6 × 10–6 Å–2. The large difference in SLD is indicative of the different amount
of polypeptoid chains in each slice (discussed further below). The
two-step model is an approximation, limited by the amount of information
obtainable from NR, of the smoothly increasing density of polymer
chains toward the substrate surface, as anticipated by both theoretical[47] and simulation studies.[51]The volume fraction (ϕ) of polypeptoid in each slice,
the
area per molecule (A in Å2), and
the surface adsorbed amount (Γ, in mg m–2)
can be calculated from the following equations[9,11,21]where ρ, ρp, and ρw are the SLDs for the slice/layer, polypeptoid,
and water,
respectively. The labile hydrogens in the polypeptoids were assumed
to be fully exchangeable with the D2O solvent. The equivalent
area per molecule of each overall layer can be expressed aswhere Vp is the
volume of the polypeptoid and τ is the thickness of the layer.
The surface chain density (σ) is simply the inverse of A. The surface adsorbed amount (Γ) can be obtained
fromwhere
MW is the molecular weight of the polypeptoid
(Table S1). Note that the total surface
adsorbed amount could be obtained from adding the contributions from
each slice from which a nominal area per molecule for the entire layer
can be worked out from eq .The nature of the NR experiment suited our goal of obtaining
intermediate
surface chain densities (σ). For example, we obtained σ
= 0.27 nm–2 for PMP15 binding on SiO2 at room temperature, compared to 0.68 nm–2 on a TiO2 surface under near cloud point/lower critical
solution temperature conditions (50 °C).[47] Lower grafted densities are generally obtained when grafting longer
chains, and we obtained σ = 0.22, 0.15, and 0.11 chain nm–2 for PMP20, PMP30, and PMP50, respectively (Figure B).By comparing (Table ) the amounts of polypeptoid bound to the
surface before and after
replacing the PMP solution with buffer (i.e., rinsing), we could gauge
the strength of the DOPA pentapeptide for grafting polypeptoid chains.
For the shortest PMP15 before buffer rinsing, the total
thickness of the two-step layer was 36 Å, and A = 284 Å2 and ΓPMP = 1.51 mg m–2. After rinsing, the total thickness was reduced to
28 Å, and A = 377 Å2 and ΓPMP = 1.14 mg m–2 (i.e., ca. 75% retention).
For the longer polypeptoids, much higher PMP retentions were observed
after rinsing, for example, for PMP50, ΓPMP decreased from 1.32 to 1.17 nm–2 (i.e., ca. 90%
retention), while A increased slightly from 835 to
942 Å2, and the total layer thickness remained at
65 Å. These results showed that PMP grafting was stronger and
predominantly irreversible when each DOPA pentapeptide (together with
its polypeptoid) had more space to interact with the SiO2 surface.The two-step interfacial structures after rinsing
found for PMP20 and PMP30 were similar to PMP15, with
essentially the same polymer density/volume fraction in each slice.
ϕPMP-lower was consistently around 0.7, and
ϕPMP-upper was around 0.1 (Figure B). While the overall layer
thickness remained ca. 26 Å and volume fraction stayed constant,
the fact that the chain length was increasing contributed to the decreasing
grafted chain density (Table ). With a further increase in the chain length to PMP50, the overall brush layer became thicker, and the lower chain
density measured had to be matched by corresponding decreases in ϕp, presumably due to the steric effect of the long chain. Overall,
these differences demonstrate the extension of PMP chains in a brush,
consistent with past ellipsometry measurements and molecular theory.[16,47] On the other hand, the current NR studies provide better depth resolution
and can therefore provide more consistent structural details about
changes in the shape of the layer distribution along the surface normal
and the total adsorbed amount.For comparison, binding of the
DOPA pentapeptide alone as a function
of concentration has also been examined, with the results shown in Figure and the best fit
parameters listed in Table . At the 0.1 mM concentration used for PMP grafting, the surface
bound pentapeptide layer could be described as a single uniform slab
of 10 Å, with ϕpeptide = 0.776 and Γ =
1.19 mg m–2, respectively. These parameters match
very well with those of the lower slice of PMPs, especially for PMP15 to PMP30 (Figure B). This supports the two-step PMP model discussed
above for which the high polymer density of the inner slice consisted
mostly of the DOPA pentapeptide and the low-density outer slice consisted
of polypeptoids extending away from the surface, as would be expected
of a surface-grafted brush. The value of ϕpeptide and the thickness of the anchoring slice are also consistent with
our earlier simulation results.[47]
Figure 3
NR profiles
at the SiO2/D2O buffer interface
with DOPA-Lys-DOPA-Lys-DOPA at the concentration of 1 mM (△,
red), 0.1 mM (□, black), and 0.01 mM (○, blue) (20 mM
phosphate buffer in D2O, pH 7). The solid lines are the
best fits to the measured data. Error bars are only shown for one
set of data for clarity. The NR profile at the bare SiO2/D2O interface is shown as reference (dashed line) with
the oxide layer thickness of 13 ± 1 Å. Parameters obtained
from data fitting are shown in Table .
Table 2
Best Fit
Parameters for DOPA-Lys-DOPA-Lys-DOPA
Obtained from Analysis of the Reflectivity Profiles Shown in Figure
concentration
τ ± 1 (Å)
(ρ ± 0.05) × 10–6 (Å–2)
φp
A (Å2)
Γ (mg m–2)
1 mM
14
3.5
0.941
53.3
2.70
10
5.0
0.446
0.1 mM
10
4.0
0.776
121
1.19
0.01 mM
7
4.0
0.776
173
0.83
NR profiles
at the SiO2/D2O buffer interface
with DOPA-Lys-DOPA-Lys-DOPA at the concentration of 1 mM (△,
red), 0.1 mM (□, black), and 0.01 mM (○, blue) (20 mM
phosphate buffer in D2O, pH 7). The solid lines are the
best fits to the measured data. Error bars are only shown for one
set of data for clarity. The NR profile at the bare SiO2/D2O interface is shown as reference (dashed line) with
the oxide layer thickness of 13 ± 1 Å. Parameters obtained
from data fitting are shown in Table .At a high DOPA pentapeptide
concentration of 1 mM, the peptide
formed a two-step distribution with thicknesses around 10 Å each
and a high total adsorbed amount of 2.7 mg m–2.
The inner slice was more densely packed (ϕpeptide = 0.941) than the single layer obtained from the 0.1 mM solution
above. In contrast, the outer slice was about half packed (ϕpeptide = 0.446), indicating that some residues were “sticking
up” as there was insufficient space to pack the large amount
of pentapeptides available. Reduction of the pentapeptide concentration
to 0.01 mM resulted in a layer thickness of only 7 Å and Γ
= 0.83 mg m–2. Interestingly, however, ϕpeptide remained at 0.776, the same as for binding from 0.1
mM. Overall, given the relatively small three-fold difference in Γ
as the concentration changed 100-fold from 1 to 0.01 mM, the propensity
for the DOPA pentapeptide binding on SiO2 was strong.
Protein Adsorption on Bare SiO2
HSA and
FIB were used as model proteins to examine the antifouling effects
of the polypeptoid brush surfaces. HSA is widely used in such studies
and is a 67 kDa globular protein. Its longest length is around 80
Å, and its shortest length is around 45 Å.[52] Because it comprises several different domains and has
large structural flexibility, it tends to deform rather easily upon
interfacial adsorption.[20] HSA has an IEP
of around 4.8, and its concentration in plasma is about 50 g L–1. Human plasma FIB has a concentration of 1.5 to 4.0
g L–1 in human plasma, and it polymerizes to form
fibrin during blood coagulation. It is significantly larger with a
molecular weight of about 340 kDa and has dimensions ca. 470 ×
50 × 50 Å3.[53] Its
IEP is around 4.3, close to that of HSA. The similarity in IEP, which
specifies the protein’s net charge at a given pH, and hence
the long range (ca. >10 nm) of electrostatic intermolecular interactions,
is the main reason for choosing HSA and FIB, even though FIB is glycosylated
which would also affect its absorption behavior.As controls,
the adsorption of HSA and FIB at the bare SiO2/D2O buffer interface has been examined and the data are shown in Figure S1, with the best fit parameters listed
in Table S2. The adsorption of HSA at the
concentration of 1 g L–1 and pH 7 resulted in a
single-layer structure at the interface. The thickness, volume fraction
(ϕHSA), area per molecule (A), and
surface adsorbed amount (ΓHSA) were found to be 30
Å, 0.276, 9600 Å2, and 1.15 mg m–2, respectively.Adsorption generally increases near a protein’s
IEP since
proteins of the same species can pack more closely on a surface as
charge repulsion is eliminated.[54] Accordingly,
decreasing pH to 5 resulted in an increased amount of adsorbed HSA
(IEP = 4.8) that has a mass distribution best fit with a two-step
model of 60 Å thickness. Each modeled slice was 30 Å, with
the inner surface slice having a higher ϕHSA-inner of 0.503 and the outer slice having only ϕHSA-outer = 0.179. This height distribution is consistent with HSA molecules
spreading on the SiO2 surface, presumably to increase total
protein–surface interactions (i.e., surface-induced denaturation).
The surface coverage (equivalent to ϕHSA-inner) is also close to the maximum possible for random adsorption (i.e.,
“jamming limit” = 0.547 for roughly globular proteins).[55] Correspondingly, the total ΓHSA increased from 1.15 mg m–2 at pH 7 to 2.84 mg
m–2 at pH 5. These structural features are consistent
with previous studies.[10,11,20]In parallel, FIB adsorption from a solution of 0.15 g L–1 at pH 7 has also been examined. A two-step model
indicating protein
spreading was already required to fit the data for this larger protein
far above its IEP of 4.3. Similar to HSA, the total thickness was
found to be 60 Å and each slice was again 30 Å thick, with
the inner slice being denser (ϕFIB-inner and
ϕFIB-outer were 0.374 and 0.125, respectively).
The total adsorption (ΓFIB) was 2.4 mg m–2.
Protein Adsorption on PMPs
Further experiments were
carried out to investigate the antifouling properties of the PMP brush
surfaces. The intermediate grafting densities grafted (Table ) are at roughly half the critical
densities[18,47] required to essentially eliminate adsorption.
This enabled measurable protein adsorption in order to study the effects
of chain length, protein size, buffer pH on protein-brush interactions
and mimicked practical situation such as defect sites and long-term
degradation. Strong chain length-dependent effects were already observed
for PMP20, PMP30, and PMP50, and
we focus on data from these three chain lengths below.Figure shows the adsorbed
mass density profiles obtained after HSA (1 g L–1) and FIB solutions (0.15 g L–1) in D2O phosphate buffer were incubated over the PMP interface. Measurements
were taken after incubation in protein solutions at neutral pH 7 for
1 h and then at pH 5 for another 1 h. The corresponding NR profiles
are shown in Figure S2, and the best fit
parameters are listed in Tables S3 and S4. The fitting analysis assumes that the underlying two-step distributions
of the PMP chains shown in Figure B were preserved, but the thickness and density of
each slice in the model were allowed to vary. Adsorbed proteins were
modeled by either a single layer or two-step model as required for
consistency with the NR data.
Figure 4
Layer thicknesses plots against material volume
fraction after
1 h incubation in protein solutions at pH 7 (green) and pH 5 (red).
Data for PMP20 (A,B), PMP30 (C,D) and PMP50 interfaces (E,F) are sorted by rows. HSA experimental results
are shown on the left (A,C,E) and FIB results on the right (B,D,F).
The corresponding NR profiles are shown in Figure S2, and the parameters obtained by data analysis are listed
in Tables S3 and S4. 1 g L–1 HSA and 0.15 g L–1 FIB in 20 mM phosphate buffered
D2O were used.
Layer thicknesses plots against material volume
fraction after
1 h incubation in protein solutions at pH 7 (green) and pH 5 (red).
Data for PMP20 (A,B), PMP30 (C,D) and PMP50 interfaces (E,F) are sorted by rows. HSA experimental results
are shown on the left (A,C,E) and FIB results on the right (B,D,F).
The corresponding NR profiles are shown in Figure S2, and the parameters obtained by data analysis are listed
in Tables S3 and S4. 1 g L–1 HSA and 0.15 g L–1 FIB in 20 mM phosphate buffered
D2O were used.HSA incubation at pH 7 on PMP20 (Figure A) at the chain density chosen (0.22 nm–2) led to the formation of a single overlayer of adsorbed
mass with a thickness of 30 Å but a relatively low protein volume
fraction (ϕHSA) of only 0.146, giving the adsorbed
amount of ΓHSA = 0.61 mg m–2 (Table S3). Compared to incubation at the corresponding
pH on bare SiO2/D2O (Table S2), half of the adsorption was prevented. The single-step
HSA model, in contrast to the two-step protein layer model required
to describe adsorption on the SiO2 control, also indicated
the ability of PMP20 to limit surface-induced denaturation.
Moreover, no changes to the PMP20 two-step layer structure
was required to fit the data after protein adsorption-the HSA appeared
to simply be associated with the top of the brush layer and not penetrating
it.As the chain length increased, the antifouling effect increased
significantly, as expected from theories of brush behavior.[14,47] At the PMP30 interface, HSA adsorption at pH 7 reduced
to ΓHSA = 0.28 mg m–2 and it could
be described by a single layer with an effective thickness of 25 Å
and an even lower ϕHSA of 0.081 (Figure C), meaning that adsorption
decreased by half compared to the PMP20 interface. Again,
no changes to the PMP two-step layer structure was observed.Reducing pH to 5 near HSA’s IEP (4.8) increased adsorption,
as expected. On PMP20, ΓHSA was 1.18 mg
m–2 (Figure A). The amount adsorbed was now similar to that on the SiO2 control, but a single step protein layer was sufficient to
describe the data (i.e., no apparent protein spreading). The increased
ΓHSA meant that a denser HSA layer was formed (ϕHSA = 0.341), and it was also slightly thinner than the one
at pH 7. Some protein structural deformation is implied by a fitted
protein layer thickness (25 Å) that is much only around half
of the shortest side of HSA (ca. 45 Å). On the other hand, still
no changes to the two-step PMP20 layer structure was required
to described the data.With the slightly longer PMP30, no compression of the
protein layer was observed with a decrease to pH 5, although the amount
of adsorption (Γ = 0.96 mg m–2 and ϕHSA = 0.276) was still higher than that at pH 7 (Figure C). However, with further increase
in the chain length to PMP50 (accompanied by the lowest
grafting density), an increased adsorption at pH 5 (ΓHSA = 1.34 mg m–2; thickness = 35 Å) caused a
significant compression of the brush layer (Figure E). Our fitting still produced a single-step
protein layer, but the PMP50 model showed a decreased inner
slice height from 30 to 12 Å and an increased ϕPMP-inner from 0.258 to 0.751, while the upper “brush” slice
also decreased in height from 35 to 12 Å and ϕPMP-outer increased from 0.079 to 0.123. This indicated a large redistribution
of PMP50 chains down to the surface.Analogous experiments
were carried out using the much larger protein
FIB (ca. 50 × 50 × 470 Å3). As with HSA,
lower adsorption was observed on PMPs than on the bare SiO2 control, and the amount adsorbed at pH 7 decreased with increasing
brush length (Figure B,D,F). For example, the highest adsorption at pH 7 on the shortest
PMP20 chain length was ΓFIB = 1.27 mg
m–2 (Table S4), significantly
lower than that on SiO2 (2.4 mg m–2; Table S2). Moreover, the two-step PMP layer structures
were also preserved for all chain lengths after adsorption.In contrast to the HSA results, only minor increases in FIB adsorption
accompanied a reduction in the pH from 7 to 5 (closer to FIB’s
IEP = 4.3). For example, the adsorbed amount on PMP20 at
pH 5 was ΓFIB = 1.33 mg m–2 (Table S3), a 5% increase from pH 7. Moreover,
a “reversed” two-step protein layer model with a less
dense lower slice adjacent to the top of the polypeptoid was required
to describe the FIBs adsorbed at pH 7 (Figure B and Table S4)-ϕFIB-lower = 0.16 in the lower 30 Å
thick slice and ϕFIB-upper = 0.338 in the
thinner but denser 12 Å upper slice. Obviously, NR layer profiles
are approximate descriptions of surface bound layers. Nonetheless,
unlike FIB adsorbed on bare SiO2 (Table S2), the fact that the center of mass of adsorbed FIB was oriented
away from the surface indicated that FIB did not spread on the PMP20 brush. The total protein layer thickness of 42 Å was
similar to the short axis of FIB, indicating that FIB adsorbed sideways,
consistent with atomic force microscopy (AFM) imaging.[47]FIB adsorption became much reduced as
the chain length increased,
and a single-step model was sufficient to describe the protein adsorption.
At the PMP30 interface (Figure D), an identical single-step 35 Å thick
FIB layer (ϕFIB = 0.196 and ΓFIB = 0.98 mg m–2) could describe the adsorption at
both pH 5 and 7 (Table S4). For PMP50, single-step FIB layers of ϕFIB = 0.053
and 30 to 40 Å thickness were observed (Figure F, Table S4).AFM was also used to corroborate the (lack of) morphological changes
with FIB adsorption on polypeptoid-coated Si/SiO2 wafers.
Examples of PMP30 (0.1 mM and pH 7) adsorbed onto an SiO2 substrate (bare Si wafer) before and after FIB adsorption
are shown in Figure . The surface of our wafers is extremely smooth with root mean square
roughness under 0.5 nm. Grafting of PMP30 preserved the
overall flat surface, illustrating also the uniformity of the coating.
Upon FIB incubation, the roughness increased by only a small amount
and no clear features of assembled/aggregated structures were apparent,
consistent with the relatively small amount of FIB adsorption measured
by NR (Figure D) and
the significant antifouling effect of the PMP30 coating.
Figure 5
AFM images
of PMP30 (0.1 mM and pH 7) grafted on silica
substrates (A) and followed by FIB (0.15 g L–1,
pH 5) adsorption (B).
AFM images
of PMP30 (0.1 mM and pH 7) grafted on silica
substrates (A) and followed by FIB (0.15 g L–1,
pH 5) adsorption (B).Figure summarizes
the effects of the polypeptoids with different chain lengths. FIB
adsorption at both pH 7 and 5 decreased with the chain length. ΓFIB on PMP50 was roughly 3- and 4-folds lower than
that on PMP30, and PMP20, respectively. Moreover,
FIB adsorption on bare SiO2, at 2.4 mg m–2 at pH 7 (Figure and Table S2) and >4 mg m–2 at pH 5,[56] was considerably higher than
that on all PMP surfaces. Thus, PMP interfaces were able to suppress
FIB adsorption by 10–20 folds over the control even when the
grafting densities were only around half of the “critical”
values for preventing protein adsorption.
Figure 6
Summary of the antifouling
effect of the PMP series of polypeptoids.
Surface adsorbed amount of HSA and
FIB on the silica surface (HSA/SiO2 and FIB/SiO2) as controls and on the preadsorbed polypeptoids surface at pH 7
and 5.
Summary of the antifouling
effect of the PMP series of polypeptoids.
Surface adsorbed amount of HSA and
FIB on the silica surface (HSA/SiO2 and FIB/SiO2) as controls and on the preadsorbed polypeptoids surface at pH 7
and 5.On the other hand, for HSA, ΓHSA on PMP50 was reduced only by half at pH 7 when
compared to the shortest PMP20, and adsorption actually
increased slightly at pH 5. In
comparison, HSA adsorption on the bare SiO2 control was
1.15 mg m–2 at pH 7 and 2.84 mg m–2 at pH 5 (Figure and Table S2), which means that the current
grafting densities only reduced adsorption of the smaller HSA by 3–4
folds.The present results therefore emphasize that the superior
antifouling
performance of a longer brush (e.g. PMP50 vs PMP20) is maintained for a protein that can be considered to be large
relative to the spacing between grafted chains (at least in one dimension),
even when the brush density is reduced. The large size of FIB also
apparently rendered adsorption relatively insensitive to the effect
of pH (i.e., electrostatic interactions). In contrast, resistance
against adsorption of a smaller protein (e.g. HSA) was more readily
compromised, especially for longer brushes which are more difficult
to graft at higher surface densities. In particular, brush compression
due to HSA adsorption was obvious on the least densely grafted PMP50 when the driving force for adsorption was high(er) (at pH
5-Figure E). Incidentally,
the effectiveness of the present subcritical PMP50 surfaces
is comparable to some PCpolymer-coated surfaces.[3]
Conclusions
NR has enabled direct, in situ measurements of
PMP polypeptoid layers, showing that they consisted of an inner dense
region comprising adhesive DOPA pentapeptide and a sparse, highly
hydrated, upper polymer brush region with a low volume fraction for
all chain lengths and grafting densities studied. Buffer rinsing led
to little removal of the bound polypeptoid, demonstrating a strong
irreversibility in the surface interaction of the DOPA pentapeptide
anchor on SiO2, especially when the pentapeptide segment
had sufficient space at lower grafting densities to spread on the
surface.NR also characterized in detail the PMP layer distributions
and
antifouling performances of the grafted PMPs. While our previous studies
have already shown that PMP brushes could essentially eliminate protein
adsorption at sufficiently high surface grafting densities,[47] we focused on lower PMP densities in the present
experiments. This helped differentiate the effects of chain length,
protein size, and environmental pH on adsorption and simulated practical
antifouling challenges such as surface defects and brush degradation.We found that polypeptoid surfaces were in fact more effective
at reducing the adsorption of larger elongated FIB versus the smaller
globular HSA, especially for longer chain lengths. This is similar
to observations on zwitterionic PC-incorporated surfaces but different
from classic model surfaces like flat SiO2 and self-assembled
monolayers such as octyldecyltrimethoxysilane (OTS) that obey the
Vroman effect (higher affinity for larger proteins).[57,58] We also found that at a pH close to the protein’s IEP, the
resistance against adsorption of HSA decreased but it had little effect
on adsorption of the larger FIB. Moreover, there was no indication
of surface-induced denaturation on PMPs, which stands in contrast
to the spreading and redistribution of protein mass toward the surface
that we measured on the bare SiO2 control (as well as generally
observed on hydrophobic surfaces like OTS).The contrast in
antifouling behavior for PMPs compared to classic
model surfaces indicates their strong repellent surface effect similar
to observation on zwitterionic PC. However, our PMP is uncharged.
AFM also revealed no structural feature characteristic of protein
aggregation on PMPs, consistent with NR measurements. Although we
show results for PMP only on SiO2 (and previously on TiO2),[17,47,59] excellent antifouling properties on various substrates have been
demonstrated for polysarcosine,[60−62] a closely related antifouling
peptoid, that we first reported with almost identical antifouling
properties as PMP.[63] Therefore, peptoid
coatings like PMP are very promising in applications such as preventing
fouling on biomedical implants. In fact, our NR results also provide
direct evidence of the extent to which a protein layer with relatively
high adsorbed volume fraction (up to 0.3–0.7) can be supported
on top of an underlying brush barrier layer with a much lower polymer
fraction (<0.1) composed of mostly water. Even at the current subcritical
brush densities, it appears that the adsorbed proteins were mostly
interacting with the top of the PMP brushes, which suggests an opportunity
to further improve antifouling if attractive protein–polymer
interactions could be further reduced.
Authors: Donghui Jia; Kai Tao; Jiqian Wang; Chengdong Wang; Xiubo Zhao; Mohammed Yaseen; Hai Xu; Guohe Que; John R P Webster; Jian R Lu Journal: Langmuir Date: 2011-06-16 Impact factor: 3.882
Authors: Xiubo Zhao; Fang Pan; Ben Cowsill; Jian R Lu; Luis Garcia-Gancedo; Andrew J Flewitt; Gregory M Ashley; Jikui Luo Journal: Langmuir Date: 2011-05-25 Impact factor: 3.882
Authors: Benjamin J Cowsill; Xiubo Zhao; Thomas A Waigh; Saji Eapen; Robert Davies; Valerie Laux; Michael Haertlein; V Trevor Forsyth; Jian R Lu Journal: Langmuir Date: 2014-05-13 Impact factor: 3.882
Authors: Andrea R Statz; Jinghao Kuang; Chunlai Ren; Annelise E Barron; Igal Szleifer; Phillip B Messersmith Journal: Biointerphases Date: 2009-06-01 Impact factor: 2.456