Jacopo Movilli1, Salmeen Shakil Choudhury1, Monika Schönhoff2, Jurriaan Huskens1. 1. Molecular NanoFabrication group, MESA+ Institute for Nanotechnology, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands. 2. Institute of Physical Chemistry, and Center for Soft Nanoscience, University of Münster, Corrensstr. 28/30, 48149 Münster, Germany.
Abstract
Surface-based biosensing devices benefit from a dedicated design of the probe layer present at the transducing interface. The layer architecture, its physicochemical properties, and the embedding of the receptor sites affect the probability of binding the analyte. Here, the enhancement of the probe density at the sensing interface by tuning the exponential growth regime of polyelectrolyte multilayers (PEMs) is presented. PEMs were made of poly-l-lysine (PLL), with appended clickable dibenzocyclooctyne (DBCO) groups and oligo(ethylene glycol) chains, and poly(styrene sulfonate) (PSS). The DNA probe loading and target hybridization efficiencies of the PEMs were evaluated as a function of the PLL layer number and the growth regime by a quartz crystal microbalance (QCM). An amplification factor of 25 in the target DNA detection was found for a 33-layer exponentially grown PEM compared to a monolayer. A Voigt-based model showed that DNA probe binding to the DBCO groups is more efficient in the open, exponentially grown films, while the hybridization efficiencies appeared to be high for all layer architectures. These results show the potential of such engineered gel-like structures to increase the detection of bio-relevant analytes in biosensing systems.
Surface-based biosensing devices benefit from a dedicated design of the probe layer present at the transducing interface. The layer architecture, its physicochemical properties, and the embedding of the receptor sites affect the probability of binding the analyte. Here, the enhancement of the probe density at the sensing interface by tuning the exponential growth regime of polyelectrolyte multilayers (PEMs) is presented. PEMs were made of poly-l-lysine (PLL), with appended clickable dibenzocyclooctyne (DBCO) groups and oligo(ethylene glycol) chains, and poly(styrene sulfonate) (PSS). The DNA probe loading and target hybridization efficiencies of the PEMs were evaluated as a function of the PLL layer number and the growth regime by a quartz crystal microbalance (QCM). An amplification factor of 25 in the target DNA detection was found for a 33-layer exponentially grown PEM compared to a monolayer. A Voigt-based model showed that DNA probe binding to the DBCO groups is more efficient in the open, exponentially grown films, while the hybridization efficiencies appeared to be high for all layer architectures. These results show the potential of such engineered gel-like structures to increase the detection of bio-relevant analytes in biosensing systems.
The possibility of
detecting and monitoring biologically relevant
molecules has changed the way of approaching scientific challenges
in biology,[1,2] medicine,[3] and
food and environmental control.[4] Among
others, DNA biosensors have attracted the general interest of the
scientific community due to the potential implications in the life
sciences[5−8] as well as future data storage technology.[9] The possibility of specifically recognizing target DNA sequences
has enhanced the capability of performing reliable diagnostics for
disorders associated with the variation in regulatory DNA[10] such as neurodegenerative diseases,[11] cystic fibrosis,[12] and cancer.[13]Free circulating
DNA molecules can act as biomarkers.[14,15] The possibility
of monitoring the concentrations of such species
directly from body fluid samples (liquid biopsy), in contrast to the
costly and tedious traditional method (tissue biopsy), has fueled
the development of detection technologies to improve the prevention,
diagnosis, and monitoring of genetic diseases.[16] However, despite recent progress, specifically for the
more practical surface-based DNA biosensors,[17,18] the low concentration of DNA biomarkers in body fluids[15] has held back the wide applicability of such
devices. Therefore, signal amplification strategies are commonly exploited
with DNA sensing platforms to achieve a lower limit of detection (LOD).[19−21]The efficiency of DNA hybridization, as well as any subsequent
signal enhancement strategy, is affected by the physicochemical characteristics
of the sensing interface.[22,23] Controlling the formation
of molecular assemblies with defined composition and structure plays
a fundamental role in the creation of functional DNA sensing devices
with excellent selectivity and sensitivity.[24−26] The surface
presentation of the anchored probes defines the surface probe density
and the overall hybridization process.[27,28] Moreover,
antifouling moieties are often required to minimize non-specific interactions
at the surface, consequently increasing the signal-to-noise ratio
during the signal enhancement.[29,30]The layer-by-layer
(LbL) assembly approach, which is based on the
alternating deposition of oppositely charged species, typically polyelectrolytes
(PEs),[31] has been extensively used to tailor
surface layers with micro and nanostructured features at interfaces
for biomedical applications.[32] Polyelectrolyte
multilayers (PEMs) have shown to provide distinct structural architectures
based on the type of growth regime (defined as the growth mechanism
of the PEM, exponential or linear) due to the diffusion of partially
ionized (“weak”) PEs inside the PEM.[33,34] By varying chemical characteristics and assembly conditions of the
constituent PEs,[35−37] softer and more hydrated (gel-like) structures can
be formed,[38] ensuring additional control
over the mobility and “openness” within the architecture.[39,40] Diverse LbL structures have been used for DNA biosensors due to
the appealing property of providing a high loading of molecules onto
a surface.[41] However, these documented
LbL-based DNA biosensors have DNA probes either as a constituent layer
(or layers)[42] or randomly anchored to linker
moieties physisorbed on PEMs, such as avidin or dendrimers.[43−45] Such LbL assemblies provide highly dense DNA films without tuning
of the growth regime (which is exclusively linear) or the probe density,
thus providing little control over the hybridization efficiency and
the sensitivity itself.[46]Here, we
show the use of tailored PEM architectures with appended
antifouling and clickable groups for controlled and enhanced DNA loading
and sensitivity. We envisage the creation of extended probe binding
capacity by tuning the PEM formation into the exponential growth regime,
which provides extended surface coverage and, similarly beneficial,
a more open architecture. In order to tune the poly-l-lysine/poly(styrene
sulfonate) (PLL/PSS) multilayer growth regime, we varied the grafting
ratio of oligo(ethylene glycol) units (OEG) appended to PLL (PLL-OEG)
while at the same time maintaining the fluidity and the antifouling
behavior.[47−49] PLL-OEG polymers with appended bio-orthogonal dibenzocyclooctyne
(DBCO) moieties (PLL-OEG-DBCO) were exploited to ensure the control
of the DNA probe density[25,50,51] within the multilayer system for better evaluation of the DNA hybridization
efficiency. An azido-DNA probe with a sequence complementary to the
KRAS gene, mutations of which are associated with, among others, several
types of cancers,[52] was anchored to the
DBCO-functionalized PEM structures. This way, the final biorecognition
architectures were prepared, with the potential application for tumor
DNA detection. Samples expressing the same growth regime but having
different numbers of layers and samples with equal layer numbers but
made under different growth regimes were compared. Their capacity
to bind probe DNA molecules and to recognize complementary DNA (cDNA)
sequences was evaluated by recording the frequency shifts of each
step by means of a quartz crystal microbalance with dissipation monitoring
(QCM-D). A viscoelastic Voigt-based model was exploited to assess
the effective thickness of the multilayer film structures and to compare
the content of DBCO groups within the PEMs with the amount of detected
DNA for evaluating the effects of the multilayer film properties on
the amplified sensitivity. Additionally, the evaluation of the probe
binding capacity and the comparison of the dry and wet thicknesses
of the multilayers are used to assess the open character of the exponentially
grown multilayers.
Results and Discussion
Concept of Growth Regime
Control and Enhanced DNA Sensitivity
Figure a shows
the concept of controlling the growth regime and the PEM architecture
by the targeted design of the modified PLL. By tuning the percentage
of grafted OEG groups, the openness of the multilayer architecture
is affected, and enhanced DNA detection performance and sensitivity
are achieved. The molecule accessibility is dictated by the type of
growth, related to the internal structure of the final architecture,
and ultimately to the diffusion of the “weak” PLL within
the PEM.[35,39] The formation of the multilayer films was
achieved on SiO2 QCM-D substrates by the alternating deposition
of the polyelectrolytesPLL-OEG-DBCO and PSS (green and red lines
in Figure a,b, respectively).
Increasing numbers of layers result in higher thicknesses of the multilayers
owing to the larger adsorbed mass (y-axis). On the
other hand, the OEG mol fraction affects the growth mechanism of the
PEM itself (x-axis). The “weak” polyelectrolyte
nature of PLL,[53] in combination with the
“strong” PSS, provides the “in” and “out”
diffusion process resulting in an exponential growth regime (Figure a right).[54] As we will show (see below), varying the OEG
content bestows a way to control the growth law (Figure a left), providing suppressed
exponential growth, even reaching (pseudo-)linear growth and completely
suppressed growth. In addition, the projected DBCO density increases
with the total number of layers, regardless of the type of growth
mode (Figure a, top versus bottom). The biorecognition capability of the PEM
architectures was investigated by reacting the PLL-OEG-DBCO with a
DNA-azide probe (23 nt) by strain-promoted azide-alkyne cycloaddition
(SPAAC) click chemistry[50,55] followed by hybridization
with cDNA (43 nt) (Figure c). As a proof of principle for the improved sensitivity,
the QCM responses to the DNA probe and cDNA were evaluated in relation
with the number of layers present in the multilayer structure.
Figure 1
(a) Illustration
showing the control over the mechanism of the
PE multilayer formation and its final thickness on activated SiO2 substrates by varying the grafting density of OEG on the
PLL backbone and the number of PE layers. The PEMs were formed by
alternating deposition of PSS (red) and modified PLL (green), which
provides the relative density of both OEG (black thin line) and DBCO
(yellow sphere) moieties within the architectures. (b) Structures
of the PLL-OEG-DBCO and PSS polyelectrolytes used. (c) Schematic representation
displaying the chemistry of the process for anchoring DNA-azide to
the PEMs via SPAAC click chemistry followed by a cDNA recognition
step. All DNA sequences used in this work are reported in Table S1. The structure of the azide linker of
the DNA probe is shown in Figure S1.
(a) Illustration
showing the control over the mechanism of the
PE multilayer formation and its final thickness on activated SiO2 substrates by varying the grafting density of OEG on the
PLL backbone and the number of PE layers. The PEMs were formed by
alternating deposition of PSS (red) and modified PLL (green), which
provides the relative density of both OEG (black thin line) and DBCO
(yellow sphere) moieties within the architectures. (b) Structures
of the PLL-OEG-DBCO and PSSpolyelectrolytes used. (c) Schematic representation
displaying the chemistry of the process for anchoring DNA-azide to
the PEMs via SPAAC click chemistry followed by a cDNA recognition
step. All DNA sequences used in this work are reported in Table S1. The structure of the azide linker of
the DNA probe is shown in Figure S1.
Effect of OEG and DBCO Appended Groups on
the LbL Growth Regime
The modified PLL was synthesized by
following procedures reported
previously.[25,50] PLL polymers (15–30 kDa)
were grafted with spacers having four oligo(ethylene glycol) units
terminated with either methoxy (OEG) or DBCO units. The percentage
of lysine monomers functionalized with the OEG group ranged between
0 and 35%, while the DBCO grafting density was kept constant at approx.
2%. Besides the main function of controlling the growth mechanism
of the multilayer, the OEG moieties also minimize the non-specific
interactions,[49,56] in concert with the zwitterionic-like
nature of the PEM film.[57,58] Moreover, the OEG grafting
density is crucial to control the fluidity of the structure by affecting
the diffusivity of the PLL within the PEM, as was shown to occur for
the weak PEspegylated poly(ethylenimine) and hyaluronic acid.[48] The grafting densities of OEG and DBCO appended
to the PLL backbone have been determined by 1H NMR according
to a previously reported method (Table S2 and an NMR example of modified PLL in Figure S2).[25,50]In order to study the influence
of the OEG grafting density on the type of growth regime, modified
PLLs grafted with varying OEG mol fractions were tested in LbL assembly.
PLL-OEGs (0.5 mg/mL solutions) were adsorbed onto freshly oxygen plasma-activated
SiO2 QCM substrates followed by PSS deposition (0.5 mg/mL).
Although a procedure to achieve exponential growth of multilayers
of unfunctionalized PLL and PSS has been reported using aqueous NaCl
solution (150 mM),[35,59] we here employed PBS buffer at
pH 6.4 with the same ionic strength. The buffer solution was exploited
to minimize local apparent pKa fluctuations
of PLL that occur upon adsorption, which could lead to undesired secondary
conformational changes within the PEM[53] and possibly to a shift between growth regimes.[60] In this system with PLL and PSS, the weak PEPLL is expected
to be the only polyelectrolyte diffusing to cause the exponential
growth.[54,61,62] The PLL diffusion
process induces the exponential growth behavior of the PEM architecture,[63] which is most pronounced between pH 5.0 and
7.0 for PEMs formed with PLL/hyaluronic acid, as observed by Bütergerds
and coworkers.[62] Therefore, PBS at pH 6.4
is a good compromise to fulfill the prerequisites mentioned above,
and it was used for all the experiments presented in this work (see
the Experimental Section).Figure shows the
effect of the OEG grafting density on the growth regime (exponential,
pseudo-linear, non-growing) of the (PLL-OEG/PSS) PEM films. The frequency
shift (Δf) of the 5th overtone for the adsorbing
layers was recorded by QCM-D and plotted against the number of deposited
layers in the PEM (the process of growth monitoring is shown in Figure S3; the full time traces are reported
in Figure S4). For clarity, Figure a and b reports OEG grafting
densities ranging from 0 to 16% and from 16 to 34%, respectively (the
data for 16.6% is present in both graphs for comparison). The layer
formation was monitored up to 33 bilayers unless the growth was evidently
linear or saturated before that.
Figure 2
QCM-D frequency shifts (5th overtone)
of the alternate deposition
of PSS and modified PLL with (a) 0% (cobalt blue), 6.2% (green), 11.9%
(red), and 16.6% (yellow) and (b) 16.6% (yellow), 22.3% (purple),
27.1% (blue), and 34.2% (black) of grafted OEG. All adsorption steps
were performed using 0.5 mg/mL of both polyelectrolyte solutions (PBS,
pH 6.4). A step without flow and a washing one with PBS buffer were
placed between each deposited layer (Figure S3).
QCM-D frequency shifts (5th overtone)
of the alternate deposition
of PSS and modified PLL with (a) 0% (cobalt blue), 6.2% (green), 11.9%
(red), and 16.6% (yellow) and (b) 16.6% (yellow), 22.3% (purple),
27.1% (blue), and 34.2% (black) of grafted OEG. All adsorption steps
were performed using 0.5 mg/mL of both polyelectrolyte solutions (PBS,
pH 6.4). A step without flow and a washing one with PBS buffer were
placed between each deposited layer (Figure S3).It is known from literature that
the density of ionized groups
along the polymer chain and the charge mismatch can shift the type
of growth between linear and exponential.[33,60] Exponential growth is generally attributed to chain diffusion into
the film material accompanying an adsorption step.[54]Figure a shows the gradual transition between the growth regimes upon increasing
the content of the grafted OEG. The increase in OEG groups grafted
to the PLL reduces the amount of ionizable amino groups, which are
largely positively charged at pH 6.4 used in our experiments. We suppose
that the insertion of the oligoethers as side chains blocks the interdiffusion,
which is required for exponential growth, and thus causes pseudo-linear
growth with increasing OEG density. Strongly exponential growth was
recorded for the native PLL/PSS multilayer (blue line in Figure a), which is comparable
to results reported earlier.[35] By increasing
the OEG grafting density of the PLL, their steric demand restricts
the diffusion of adsorbed chains into the layer. As a consequence,
the extent of exponential growth was progressively reduced from exponential
(green and red lines, 6.2 and 11.9% OEG) to linear (yellow line, 16.6%
OEG). The sterically repulsive effect of OEG became evident at higher
fractions of OEG-functionalized PLL (Figure b), where the linear regime for 16.6% PLL-OEG
(yellow line) shifted to an only marginally growing regime for OEG
mol fractions above 20% (purple, blue, and black lines). At high contents
of OEG, the steric repulsion caused by the densely ethylene glycol-functionalized
layer was predominant over the charge overcompensation effect, which
is essential for the LbL formation,[34] resulting
in little or almost zero polyelectrolyte adsorption.In addition,
structural information about the viscoelasticity of
the growing PEM can be qualitatively assessed from the dissipation
signal recorded by QCM-D. It has been reported that PLL/PSS films
are stiffer than others such as PLL/HA[35,53] or PLL/alginate.[64] However, the introduction of the OEG moieties
affected the viscoelasticity. Upon adsorption of PSS and PLL, asymmetric
swelling steps could be identified from the dissipation changes (ΔD) (Figure S4a–d), while
the PEMs quickly deflated when flowing PBS (without PE). In the case
of high contents of OEG (Figure S4e–g), this ΔD asymmetry reduced between PLL-OEG
and PSS layer depositions after the 2nd bilayer. This is attributed
to steric hindrance of the OEG units, which resulted in almost non-growing
films. Overall, the ΔD in each measurement
with OEG grafting densities above 10% was relatively small (∼10–6), confirming the increased rigidity and compactness
of the layered structure. However, multilayers formed with native
PLL showed differences between the ΔD overtones
in the exponential regime (Figure S4a)
in concert with high changes in ΔD, which indicate
a soft and swollen PEM. A similar effect was visible for low-grafted
modified PLL (Figure S4b). Tuning the growth
process is of utmost importance to express specific mechanical and
structural properties of the PEM, which consequently may affect the
probe density in DNA sensing. In that light, finding the proper combination
of grafted OEG and DBCO is essential to simultaneously provide antifouling
behavior and maximize the density of reactive groups for efficiently
anchoring azido-DNA probes.In order to study the effect of
DBCO in the PEM formation, four
types of PLL-OEG-DBCO polymers were tested to specifically target
exponentially and linearly grown films while retaining a minimum amount
of OEG. Figure shows
the Δf (5th overtone) for each measurement
plotted against the total number of layers (full time traces in Figures S5 and S6a). Little effects seemed to
occur in the formation of viscoelastic PEMs, similar to that of native
PLL (Figure S4a), when using modified PLL
bearing 1.8 or 2.3% DBCO with a low OEG content (red and blue lines
in Figure ). The two
other grafted densities gave the (pseudo-)linear and almost non-growing
trends for PLL-OEG(8.5)-DBCO(1.8) and PLL-OEG(11.8)-DBCO(1.8), respectively
(yellow and green lines in Figure ), as confirmed by the ΔD trends
(Figure S5b,c) similar to the corresponding
PLL-OEG (Figure S4c,d) with approximately
the same grafting densities. Overall, these results indicate the possibility
of targeting specific PEM growth regimes, showing the control of both
physical (softness and hydrophilicity) and chemical (antifouling and
types/amounts of reactive groups) properties of the PEM film by the
proper design of the PLL component. For use in the probe binding systems,
the PLL-OEG(4.9)-DBCO(1.8) was found to be a good choice for the PEM
formation, simultaneously having a significant DBCO content and showing
exponential growth, while the PLL-OEG(8.5)-DBCO(1.8), exhibiting linear
growth, was used as a reference.
Figure 3
QCM-D frequency shifts (5th overtone)
of the alternating deposition
of PSS and PLL-OEG(4.9)-DBCO(1.8) (blue), PLL-OEG(4.9)-DBCO(2.3) (red),
PLL-OEG(8.5)-DBCO(1.8) (yellow), and PLL-OEG(11.8)-DBCO(1.8) (green).
The adsorption steps were performed using 0.5 mg/mL of both modified
PLL and PSS solutions (PBS, pH 6.4).
QCM-D frequency shifts (5th overtone)
of the alternating deposition
of PSS and PLL-OEG(4.9)-DBCO(1.8) (blue), PLL-OEG(4.9)-DBCO(2.3) (red),
PLL-OEG(8.5)-DBCO(1.8) (yellow), and PLL-OEG(11.8)-DBCO(1.8) (green).
The adsorption steps were performed using 0.5 mg/mL of both modified
PLL and PSS solutions (PBS, pH 6.4).
Enhanced Probe Binding and DNA Detection by Exponentially Growing
PEMs
The main aim of this study is to investigate whether
the type of growth regime can determine the effective probe density
within the multilayer and thus affect the sensitivity in DNA detection.
In the case of exponentially grown films, there are (at least) two
ways by which the probe density can be improved over linearly grown
films with the same number of layers. First, the mass of PE adsorbed
in each step may increase, thus leading to enhanced loading of coupling
groups (DBCO) when using functionalized PLL. Second, the accessibility
toward DBCO, especially to those groups buried inside the PEM film,
may be affected by the “openness” of the architecture.
A compact, linearly grown layer will present a lower permeability
for (bio)molecules, but the more hydrated and less dense nature of
an exponentially grown PEM[35] may provide
a better accessibility of the reactive groups. In addition, the retention
effect of the analyte can be enhanced due to the “dense hydrogel”
nature of the PEM.[65] All in all, the combination
of exponential growth and a high number of layers is expected to yield
a higher loading of azido-DNA probes and concomitantly an improved
sensitivity.In order to investigate these
effects, PLL-OEG(8.5)-DBCO(1.8) and PLL-OEG(4.9)-DBCO(1.8) were exploited
in PEM film formation with PSS to form linearly and exponentially
grown multilayers, respectively (see Figure above). Thereafter, DNA-azide probes were
reacted to the DBCO groups of the PLL followed by the hybridization
with cDNA. Figure a and b reports the Δf (5th overtone) values
respectively for the DNA probe immobilization and cDNA detection step
(both 0.5 μM, PBS 6.4) as a function of the number of PLL-OEG-DBCO
layers within the PEM. Differences are evident between the exponential
(orange) and linear (green) regime (full measurements are reported
in Figures S6 and S7). With the increasing
number of layers, the probe incorporation and the consecutive DNA
hybridization increased linearly for the former (orange lines), while
saturation was reached at the 8th bilayer (Figure a,b) for the latter (green lines). The ΔD changes in Figure S7 indicate
that this effect is probably due to the more compact film in the case
of the linearly grown films, which blocks the penetration of incoming
DNA, clearly indicating the different DNA sensitivity between the
two types of architectures.
Figure 4
Dependence of Δf (5th
overtone) recorded
by QCM for (a) DNA probe (23 nt) anchoring and (b) cDNA (43 nt) detection versus the number of PLL-OEG-DBCO in the PEM with exponential
(orange) or linear (green) growth. (c) Frequency shifts (5th overtone)
for DNA probe anchoring (x-axis) and cDNA selective
recognition (y-axis) after the formation of PEMs.
The color intensity scales with the number of layers in the PEM. The
LbL process was performed using PSS and PLL-OEG(4.9)-DBCO(1.8) (orange
points) or PLL-OEG(8.5)-DBCO(1.8) (green points). Raw data are reported
in Figures S6 and S7. Data points for exponentially
grown multilayer films represent two independent measurement series,
while one series is shown for the linear PEM films.
Dependence of Δf (5th
overtone) recorded
by QCM for (a) DNA probe (23 nt) anchoring and (b) cDNA (43 nt) detection versus the number of PLL-OEG-DBCO in the PEM with exponential
(orange) or linear (green) growth. (c) Frequency shifts (5th overtone)
for DNA probe anchoring (x-axis) and cDNA selective
recognition (y-axis) after the formation of PEMs.
The color intensity scales with the number of layers in the PEM. The
LbL process was performed using PSS and PLL-OEG(4.9)-DBCO(1.8) (orange
points) or PLL-OEG(8.5)-DBCO(1.8) (green points). Raw data are reported
in Figures S6 and S7. Data points for exponentially
grown multilayer films represent two independent measurement series,
while one series is shown for the linear PEM films.The type of architecture influenced both the DNA anchoring
and
detection, even though the lengths of the probe and target DNA were
different. Figure c reports the Δf values for the cDNA detection
step as a function of the ones of DNA probe immobilization for exponentially
(orange squares) or linearly (green squares) grown PEMs. The linear
fit in Figure c shows
the linear response effect of binding cDNA as a function of the probe
density. The value of the slope of the fit in Figure c, normalized for the nucleotide number of
the probe and cDNA, gave a hybridization efficiency of 125% for both
growth regimes. This apparent overestimation of the hybridization
efficiency has already been reported in literature, and it is associated
with differences in DNA length and the formation of double-stranded
DNA species, which cause a change in the degree of hydration.[66,67] Overall, we can conclude that all available DNA probes in the PEM
films can be hybridized by cDNA.The amplification effect of
an exponentially grown multilayer is
clearest in the comparison with a monolayer of functionalized PLL
(Figure S8). The Δf values for both the probe and cDNA steps of the 33-layer exponentially
grown PEM were approx. 25 times higher than those of a monolayer of
PLL-OEG(29.7)-DBCO(1.6) (a larger amount of OEG was required to avoid
non-specific interaction of DNA to the PLL backbone in this case,[68] as shown in the left part of Figure S8). In the case of a linearly grown PEM, the frequency
changes recorded at the QCM for the same DNA probe and cDNA incorporation
were only a factor of 5.5 higher. This data illustrates the sensitivity
enhancement of the multilayer approach and especially of PEMs that
are exponentially grown, confirming that the probe density can be
tuned by exploiting exponentially grown films, while a saturation
of the probe density occurs for linearly grown films.The selectivity
of the DNA biorecognition process was tested for
all the exponentially grown multilayers by flushing a solution of
non-complementary DNA (ncDNA) (0.5 μM, PBS 6.4) before the complementary
one (Figure S6a–h). Adsorption of
ncDNA was absent in all systems (no Δf shifts
visible upon injection), regardless of the total number of layers.
Additionally, other tests were performed to investigate the influence
of DBCO on the DNA selectivity, using two PEMs of the exponentially
and linearly grown architectures consisting of 9 layers of PLL-OEG(6.2)
or PLL-OEG(11.9) (thus, in the absence of DBCO groups, Figure S9a,b), respectively. The lack of non-specific
adsorption for the consecutive flows of DNA-azide, ncDNA, and target
cDNA (Figure S9b,d) further confirmed the
overall antifouling behavior of the PEM films given by the combination
of OEG and zwitterionic-like motifs.A key point for the amplified
DNA detection is to what extent the
DBCO groups present in the PEM films react with the probe DNA. Not
all functional groups within the PEM structure may participate in
the binding and recognition process. In order to study this effect,
two PEM structures with PLL-OEG but just one PLL-OEG(4.9)-DBCO(1.8)
layer either as the last or first deposited layer were exploited (Figure S10). When the PLL with appended DBCO
was used on top of the PEM, Δf values of roughly
5.5 and 12.5 Hz were observed for DNA-N3 and cDNA, respectively,
while no significant frequency changes were found for PLL-OEG(4.9)-DBCO(1.8)
as the first layer, suggesting that more deeply buried layers are
less accessible for the probe binding and DNA recognition process.
Evaluation of the Viscoelasticity of the PEMs and Thickness
Determination
Important questions regarding the interpretation
of the QCM data involve quantitative changes of physicochemical parameters
of the PEMs as a function of the layer number, film thickness, and
growth regime. In order to evaluate the thickness and the mass increment
of both the LbL formation and DNA anchoring/hybridization steps, a
Voigt model based on the general case of two individual regions of
the film with different viscoelastic properties (overlayers) was applied.[69] The PEM formation and DNA insertion processes
of four PEM architectures, specifically those with 9 and 33 layers,
each in the linear and exponential growth regimes, were treated separately
as one (j = 1) or two (j = 1,2)
overlayers (where j expresses the overlayer number
in the model, starting from the substrate). A more detailed description
of the Voigt-based modeling analysis is given in the Supporting Information.Figure shows the fitting (open symbols) of the
Δf and ΔD data (blue
and red lines) for the time span of LbL formation for the 33-layer
PEMs with high OEG density (linear growth, Figure a–c) and low OEG density (exponential
growth, Figure d–m),
according to eqs S7 and S8. The linearly
grown multilayer time span (Figure a–c) was properly fitted using a single overlayer
on top of the piezoelectric chip (j = 1), with a
density of 1.2 g/cm3. Table S3 lists all densities that have been used as fixed input parameters
to fit each time span of the different PEM architectures with either
the one- or two-overlayer model (j = 1 or j = 1, 2). All fitted parameter values reported were checked
for robustness (see the Supporting Information). As a result, all fitted values of the layer thickness (d), shear modulus (μ), and viscosity (η) increased
linearly with the number of layers (Figure a–c and Figure S11a,b). The relatively low increment per deposited layer (compared
to the exponential PEM) is a sign of a rigid multilayer structure,
as further confirmed by the absence of splitting between the overtones
for both Δf and ΔD and
the small changes in the latter upon adsorption of modified PLL (Figure a,b). The same density
was found to be optimal for the one-overlayer (j = 1) model of the 9-layer PEM in the linear
regime (Figure S12), with the resulting
values for the shear modulus, thickness, and viscosity similar to
the corresponding values obtained from the first 9-layer section of
the 33-layer linear PEM (Figure c and Figure S11a,bversusFigure S12c–e).
This confirms the interpretation of a rigid, thin multilayer architecture.
Figure 5
Fitting
and modeled thicknesses of the LbL parts of the 33-layer
PEMs for the (a–c) linear and (d–m) exponential regimes,
using the PLL-OEG(8.5)-DBCO(1.8) and PLL-OEG(4.9)-DBCO(1.8) polymers,
respectively. (a/d/g/j) Δf and (b/e/h/k) ΔD time traces and best fits (symbols and lines, respectively)
for the 5th–9th overtones (the 3rd one is included (j,k) in
the case of a two-overlayer fit (j = 1) with (c/f/i/l/m)
the modeled thicknesses). The best fits were obtained with (a–i)
one (j = 1) or (j–m) two (j = 1, 2) overlayers. The Voigt-based model was used with fixed densities
of (a–c) 1.20 g/cm3, (d–f) 1.12 g/cm3, (g–i) 1.20 g/cm3, and (j–m) 1.20
g/cm3 (j = 1) and 1.05 g/cm3 (j = 2). The fit results for the shear modulus
and viscosity are shown in Figure S11.
Fitting
and modeled thicknesses of the LbL parts of the 33-layer
PEMs for the (a–c) linear and (d–m) exponential regimes,
using the PLL-OEG(8.5)-DBCO(1.8) and PLL-OEG(4.9)-DBCO(1.8) polymers,
respectively. (a/d/g/j) Δf and (b/e/h/k) ΔD time traces and best fits (symbols and lines, respectively)
for the 5th–9th overtones (the 3rd one is included (j,k) in
the case of a two-overlayer fit (j = 1) with (c/f/i/l/m)
the modeled thicknesses). The best fits were obtained with (a–i)
one (j = 1) or (j–m) two (j = 1, 2) overlayers. The Voigt-based model was used with fixed densities
of (a–c) 1.20 g/cm3, (d–f) 1.12 g/cm3, (g–i) 1.20 g/cm3, and (j–m) 1.20
g/cm3 (j = 1) and 1.05 g/cm3 (j = 2). The fit results for the shear modulus
and viscosity are shown in Figure S11.The LbL formation time span in the exponential
PEM with 33 layers
had a more complex evolution, causing the inability to find a proper
fit using the one- or two-overlayer model. This effect is ascribed
to the occurrence of either more than two overlayers, and densities,
or a gradient of densities and/or viscoelastic parameters along the
surface normal of the PEM. Looking at the full time trace in Figure S6, three time frames could be defined
by the dissipation signal, as indicated by the separate representation
in Figure d,e (0–200
min), Figure g,h (200–345
min), and Figure j,k
(345–510 min). The first time frame (11 layers, Figure d,e), with growing ΔD, was fitted with a lower density (ρ = 1.12 g/cm3) than the linear 33-layer PEM (ρ = 1.20 g/cm3), suggesting a softer, more hydrated PEM. Similar values for the
fit parameters (d, μ, and η) were obtained
from the fitting of the LbL time span of the 9-layer PEM in the exponential
regime (Figure S13) using the same density
of 1.12 g/cm3 (one-overlayer model, j =
1), confirming the pronounced viscoelastic nature of the exponentially
grown architecture. In the second time frame (up to the 23rd layer, Figure g,h), an average
constant dissipation, typical of PEMs exhibiting linear growth, indicated
a “compression” of the exponentially growing PEM. Thus,
this second time frame was modeled using just one overlayer (j = 1) with a higher input density, equal to the linearly
growing PEMs (ρ = 1.20 g/cm3). Finally, the third
time frame (Figure j,k), in which the exponential effect was most evident, could not
be modeled by a single homogeneous overlayer (j =
1), most likely due to a change of density along the PEM. Here, the
two-overlayer (j = 1, 2) model was exploited with
densities of 1.20 g/cm3 (j = 1, equal
to the density of the 2nd time frame) and 1.05 g/cm3 (j = 2, in between the density of the 1st time frame and
the effective density of a PLL-PEG monolayer reported in literature,
ρ = 1.027 g/cm3).[70] The
presence of a second “adsorbing” layer, namely, the
overlayer j = 2, was evident from the results of
the fitting from the third time frame (Figure l,m and Figure S11g–j). The shear modulus and viscosity of the j = 1
overlayer increased approx. by a factor of 4 during the depositions,
while their values were about 20 times larger than those reported
for a (PLL/HA)19 multilayer film with non-functionalized
PLL,[62] suggesting that the OEG content
strongly affected the internal properties of the PEM. Interestingly,
the second overlayer (j = 2) of approx. 20 nm thickness
acted like a “buffering” top region, where d, μ, and η did not strongly depend on the number of deposited
layers. Therefore, this top layer can be seen as a diffusion zone
with constant size that promotes the exponential growth, as explained
by Porcel and coworkers.[61]To investigate
the amplification effect of exponential PEMs on
the DNA probe (23 nt) immobilization and the following cDNA (43 nt)
recognition, the DNA anchoring/detection steps on 33-layer PEMs, either
in the linear or exponential growth regime, were modeled using the
one- (linear) or two- (exponential) overlayer model. Figure shows the fitted time traces
of the frequency and dissipation signals for the linear (Figure a,b) and exponential (Figure d,e) 33-layer structures,
together with the respective modeled thicknesses (Figure c, f, and g). The best fit
for the DNA part in the linearly grown PEM was achieved with one overlayer
(j = 1) with a density of 1.07 g/cm3.
This value was fixed due to the optimized density of the LbL formation
for the same PEM (ρ = 1.20 g/cm3), the one of pure water (1.00 g/cm3), and the one of DNA
(1.06 g/cm3) detected by QCM on a supporting lipid bilayer.[66,71] It is interesting to note that while the addition of the DNA probe
affected the frequency (Figure a, 560 min), no significant changes were recorded for the
dissipation (Figure b). Moreover, the corresponding viscoelastic properties were almost
not altered by any of the DNA molecules (Figure S14), further confirming the stiff nature of the PEM film.
The same behavior was found for the DNA anchoring/detection in the
case of the 9-layer PEM with linear growth (Figure S15), suggesting that the DNA probe was immobilized onto the
last layer(s), without diffusion into the PEM.
Figure 6
Fitting and modeled thicknesses
of the DNA part of the 33-layer
PEMs made in (a–c) linear and (d–g) exponential regimes,
using the PLL-OEG(8.5)-DBCO(1.8) and PLL-OEG(4.9)-DBCO(1.8) polymers,
respectively. (a/d) Δf and (b/e) ΔD time traces and best fits (symbols and lines, respectively)
for the 5th–9th overtones (the 3rd one is included (d,e) in
the case of a two-overlayer fit (j = 1,2) with (c/f/g)
the modeled thicknesses). The best fits were obtained with (a–c)
one (j = 1) or (d–g) two (j = 1,2) overlayers. The Voigt-based model, checked for robustness,
was used with fixed densities of (a–c) 1.07 g/cm3 and (d–g) 1.12 g/cm3 (j = 1)
and 1.07 g/cm3 (j = 2). The results for
the shear modulus and viscosity are shown in Figure S14.
Fitting and modeled thicknesses
of the DNA part of the 33-layer
PEMs made in (a–c) linear and (d–g) exponential regimes,
using the PLL-OEG(8.5)-DBCO(1.8) and PLL-OEG(4.9)-DBCO(1.8) polymers,
respectively. (a/d) Δf and (b/e) ΔD time traces and best fits (symbols and lines, respectively)
for the 5th–9th overtones (the 3rd one is included (d,e) in
the case of a two-overlayer fit (j = 1,2) with (c/f/g)
the modeled thicknesses). The best fits were obtained with (a–c)
one (j = 1) or (d–g) two (j = 1,2) overlayers. The Voigt-based model, checked for robustness,
was used with fixed densities of (a–c) 1.07 g/cm3 and (d–g) 1.12 g/cm3 (j = 1)
and 1.07 g/cm3 (j = 2). The results for
the shear modulus and viscosity are shown in Figure S14.On the other hand, the fitting
of the DNA steps in the exponentially
grown 33-layer PEM provided a different situation (Figure d–g and Figure S14c–f). The fitting was only possible
using a two-overlayer model (j = 1,2) with different
densities of 1.12 g/cm3 (in between the densities found
for the LbL part in the exponential 33-layer PEM) and 1.07 g/cm3. This approach was chosen because similarly for the 9-layer
PEM with exponential growth, the DNA insertion step could only be
fitted with the two-overlayer model, exploiting the same densities
(Figure S16). The behavior of DNA probe
anchoring and the cDNA detection was significantly different between
the fitted overlayers (j = 1 and j = 2) for the 33-layer architecture. Upon immobilization of the DNA
probe to the DBCO moieties, the thickness and viscosity of the j = 1 overlayer were more affected, in comparison with the
overlayer in contact with the bulk liquid (j = 2)
(Figure f,g and Figure S14c–f). The shear modulus did
not change substantially, suggesting that the DNA-azide binding had
little effect on both overlayers. However, the hybridization with
cDNA to form double-stranded DNA had a major impact on the first overlayer.
The higher frequency change (Figure d), and indeed the thickness (Figure f), of cDNA is probably related to a more
open structure and a deeper penetration of cDNA compared to every
other PEM architecture analyzed, resulting in more uptake of water.
To support this concept, it has to be noted that for the linearly
grown architectures, a saturation of cDNA within the PEM occurred
right after the injection of the solution (around 620 min, Figure a), increasing the
thickness by just 3 nm (Figure c), compared to the 13 nm of the 33-layer exponential PEM.
At the same time, the viscosity was reduced, while the shear modulus
increased, defining a fluid-like but more rigid PEM (Figure S14c,d). These effects could be ascribed to the DNA
hybridization, making the structure stiffer, while the hydration shell
of double-stranded DNA made it more gel-like.[36,38]The fitted overlayer j = 2 of exponentially
grown
PEMs showed a remarkable difference in thickness, being 5 and 20 nm
for 9 and 33 layers, respectively. A peculiar effect was found for
the 9-layer exponential architecture upon hybridizing cDNA and washing
with PBS, in which all fitted parameters (d, μ,
and η) increased (Figure S16f–h). The 33-layer multilayer film reported a similar but gradual increment
when ncDNA (42 nt) was injected (Figure g and Figure S14e,f), suggesting diffusion of the DNA solely inside the “buffering”
zone (overlayer j = 2), affecting its structure.
Notably, the ncDNA appeared to not hybridize to the DNA probe or penetrate
further, as shown from the absence of changes in the viscoelastic
parameters of the first fitted overlayer j = 1 and
all overtones (Figure d–f and Figure S14c,d). This behavior
also confirmed the soft gel state in particular of the exponential
PEM, having an enhanced permeability and retention effect, demonstrating
the capability of controlling the viscoelastic properties and the
openness of multilayer structures, resulting in amplified anchoring
and detection of DNA molecules.
Quantification of Coupling
and Hybridization Efficiencies
In order to assess the amplification
sensitivity due to the effect
of exponential growth, the densities used to model the four PEM structures
(Table S3) were exploited to estimate the
amounts of modified PLL adsorbed, consequently, the corresponding
DBCO surface densities, and the surface densities of the DNA probe
and hybridized cDNA molecules. In particular, the densities in Table S3 were used to derive the Voigt mass,
defined as the coupled surface mass coverage from the model (m = ρ × d), of each time span
(LbL formation and DNA insertion). However, the Voigt mass does not
distinguish between the dry mass of the molecules and the associated
water.[72,73] Consequently, two approaches were used for
estimating the coverage of adsorbed molecules from the thickness data.
Davila et al. quantified the amount of hydration water for ethylene
glycol-functionalized poly(acrylic acid) (PAA) adsorbing on PEMs using
QCM and SPR.[47] For PAAs with 5 and 10%
of the monomers grafted with a linker having three ethylene glycol
units end-functionalized with biotin moieties, the degrees of hydration
were approx. 83 and 80%, respectively. Alternatively, we used ellipsometry
to obtain the dry mass of the PEM films (Table S4). While the data show a good qualitative comparison across
the four samples with the mass coverages obtained by QCM, directly
comparing the mass densities to obtain hydration water fractions led
to degrees of hydration ranging from 23 to 63%, with both exponential
layers having values around 60% (Table S5).When assuming that 80% of the surface mass coverage from
the PLL-OEG-DBCO, as well as from single and double-stranded DNA species,
corresponds to hydration water,[50,66,73] the surface coverages of the respective species were calculated
(Table ). Discrepancies
between the values for probe DNA and cDNA molecules could be ascribed
to the different hydration shells when referring to single- or double-stranded
DNA molecules.[72,73]
Table 1
Calculated
Thicknesses (d) and Estimated Surface Densities for
Modified PLL and PEM Architectures,
DBCO within the Whole PEM and from the Last Layer, and DNA Probe/Target
cDNA Using the Densities of the Voigt-Based Model for the 9- and 33-Layer
PEM Architectures, Each with Linear and Exponential Growthb
number
of layers
9
33
linear
exponential
linear
exponential
dPLL [total dPEM] (nm) - dPLL/dPEM (%)a
11.7 [16] - 73%
18.3 [24] - 76%
25.5 [36] - 71%
167.3 [290] - 57%
DBCO in all PEM (molecules/cm2)
1.7 × 1013
2.5 × 1013
3.6 × 1013
2.3 × 1014
DBCO from last layer (molecules/cm2)
7.1 × 1011
4.0 × 1011
3.6 × 1012
4.0
× 1013
DNA probe (molecules/cm2)
1.4 × 1012
2.0
× 1012
1.7 × 1012
1.1 × 1013
target
cDNA (molecules/cm2)
2.4 × 1012
4.3 × 1012
2.8 ×
1012
1.9 × 1013
The values in squared brackets refer
to the total thickness in nm of the whole PEM structure (modified
PLL/PSS) followed by the estimated percentage (%) of thickness attributed
only to the modified PLL polymer in the same PEM architecture.
See the Experimental
Section. Water (80%) was assumed to be present for the calculated
masses (modified PLL and DNA species).
The values in squared brackets refer
to the total thickness in nm of the whole PEM structure (modified
PLL/PSS) followed by the estimated percentage (%) of thickness attributed
only to the modified PLLpolymer in the same PEM architecture.See the Experimental
Section. Water (80%) was assumed to be present for the calculated
masses (modified PLL and DNA species).Overall, the data shown in Table indicates that the difference between linearly
and
exponentially grown films is not yet significant in the case of 9
bilayers (all DBCO and DNA densities approx. equal), but it becomes
much enhanced at 33 bilayers (data for the exponential film an order
of magnitude larger). The total projected density of DBCO within the
whole PEM was higher when increasing the number of layers and when
having exponential growth. However, the exponentially grown structure
with 33 layers has a major contribution to the projected DNA density
from the last layer, which is two orders of magnitude higher than
the corresponding last layer in the exponential 9-layer PEM. As shown
in Figure , the amounts
of probe DNA and cDNA detected for the linearly grown PEM structures
were similar regardless of the number of layers. On the other hand,
the 9-layer exponential PEM had a higher amount for both DNA species
compared to the PEM architectures with linear growth, validating our
assumption that exponentially grown PEMs display a more open structure.
The exponentially grown PEM with 33 layers has a reduced contribution
of PLL to the total thickness (only 57% from PLL, Table ), suggesting more adsorption
from PSS to enhance the exponential growth mode. Overall, the efficiency
of probe binding appeared to be similar for all the PEMs analyzed.
A 7-times increment was found for the 33-layer exponentially grown
PEM compared to the linear one with the same number of layers, indicating
that the mass adsorbed in the last layer has a stronger effect on
the probe binding efficiency. These data also shows the increased
amount of detected cDNA, confirming the capability of enhancing the
sensitivity of DNA detection by exploiting purposefully engineered
open structures.
Conclusions
In summary, we have presented an amplification strategy for DNA
recognition exploiting exponentially grown PEM architectures with
appended antifouling and clickable groups at the interface. The hybridization
efficiency was retained for all the investigated systems, confirming
that the increased loading and selective detection of DNA in the exponentially
grown PEM films were related to the more open architecture.By making use of a Voigt-based model, the viscoelastic properties
of four model multilayer structures were assessed, further indicating
the more elastic, gel-like characteristics of the exponentially grown
PEMs. The modeled thicknesses were exploited to evaluate the effectiveness
of the probe anchoring and consecutive DNA hybridization, indicating
an increase in DNA probes immobilized inside the multilayer structure
for the 33-layer exponentially grown PEM, which resulted in a 25-fold
amplification of the detected signal compared to a PLL monolayer with
the same grafting density of DBCO groups.The amplification
strategy by the structural design of the biosensing
interface has shown to improve the detection of a model DNA target
by extending the detectability of the binding events into the third
dimension. Such a bio-orthogonal approach is not bound to gravimetric
analysis and can be exploited for several other surface-based detection
systems, for example, surface plasmon resonance (SPR) or enzyme-linked
immunosorbent assay (ELISA). Because of the LbL modification strategy
and the customizable PLL, the physical and chemical characteristics
of the biorecognition interface can be tailored, indicating the potential
universality of such a surface-engineering approach with intrinsic
amplification properties.All in all, gravimetric, optical,
and electrochemical-based biosensors
can ultimately benefit from this strategy due to the physical extension
of the transducing interface. Such 3D, biocompatible gel-like structures
may enhance the detection of multiple, charged, and biologically relevant
molecules, such as nucleotides, proteins, and drugs, further improving
the production of personalized diagnostic devices and point-of-care
recognition systems.
Experimental Section
Materials
Poly-l-lysine hydrobromide (MW =
15–30 kDa by viscosity), poly(sodium 4-styrenesulfonate) (average
MW = 70 kDa), D2O, and tablets for 10 mM PBS solution (pH
7.4, ionic strength of 150 mM) were obtained from Sigma-Aldrich. HCl
solution was obtained from SelectiPur. Methyl-OEG4-NHS
ester was purchased from ThermoFisher Scientific, while DBCO-OEG4-NHS was obtained from Click Chemistry Tools. The membranes
for dialysis (Spectra/Por, 6–8 kDa cutoff, diameter of 6.4
mm) were purchased from Spectrum Labs, Greece. The azide-DNA (MW,
7421 g/mol; 5′-N3-PEG4-ACCACAAGTTTATATTCAGTCAT-3′,
23 nt) was acquired from Biomers.net GmbH (chemical structure of the linker in Figure S1). cDNA (complementary to the KRAS sequence, 5′-ATGACTGAATATAAACTTGTGGTAGTTGGAGCTGGTGGCGTAG-3′,
43 nt) and ncDNA (5′-CTACGCCACCTCAACCTACGCCACCTCCACCTACGCCACCTC-3′,
42 nt) were purchased from Eurofins Genomics and used as received.
Synthesis and Quantification of PLL with Appended Groups
The synthesis of PLL-OEG and PLL-OEG-DBCOpolyelectrolytes and the
quantification of OEG and DBCO mol fractions grafted to the PLL backbone
were done by following previously reported procedures.[25,50] Briefly, 10 mg/mL PLL HBr was dissolved in PBS 7.4, and stoichiometric
amounts of Methyl-OEG4-NHS and DBCO-OEG4-NHS
(both dissolved in DMSO at a concentration of 250 mM) were added simultaneously.
After 4 h under stirring, the solution was dialyzed with a Spectra/Por
dialysis membrane (molecular cutoff of 6 to 8 kDa) against decreasing
concentrations of PBS buffer in Milli-Q water, including a full 24
h cycle in Milli-Q water. The final solution was freeze-dried overnight.
The characterization of the final product was done by 1H NMR (Figure S2), and it was stored at
−20 °C in Milli-Q water. Quantification of the grafted
percentages has been extensively reported in the Supporting Information.
Quartz Crystal Microbalance
Experiments
Silica-coated
(50 nm, QSX303) QCM-D chips from LOT-Quantum were cleaned by rinsing
them with Milli-Q water (Millipore) and EtOH. Thereafter, the chips
were incubated for 1–2 h under stirring in aqueous solution
of 2% SDS and then washed extensively with Milli-Q water and EtOH.
After drying under nitrogen flow and oxidation with oxygen plasma
(Plasma Prep II, SPI Supplies; 200–230 mTorr, 40 mA) for 1.5
min, the chips were mounted in the chambers and equilibrated with
PBS (pH 6.4). Solutions (0.5 mg/mL) of modified PLL and PSS in PBS
(pH 6.4) were alternatively injected at a flow rate of 120 μL/min
for 5 min. The adsorption was continued for 5 min without flow followed
by a 5 min rinsing with the same PBS buffer, again with a flow rate
of 120 μL/min. This procedure was used for all the LbL buildups,
unless stated otherwise. After the LbL buildup, before the DNA insertion
process, PBS buffer solution was flushed for approx. 1 h to equilibrate
the PEM architecture. A second flow rate of 80 μL/min was exploited
during the DNA anchoring and hybridization steps. All the DNA species
(probe, ncDNA, and cDNA) had a concentration of 0.5 μM in PBS
solution (pH 6.4). The monolayer experiment was performed by adsorbing
the functionalized PEPLL-OEG(29.7)-DBCO(1.6) followed by the selective
DNA anchoring and hybridization exploiting the same solution conditions
and concentrations previously adapted in the PEM measurements (flow
rate of 80 μL/min for each step). The QCM-D measurements were
performed using a Q-Sense E4 4-channel quartz crystal microbalance
with a peristaltic pump (Biolin Scientific), monitoring the fundamental
overtone from 3rd to 9th. All experiments were performed in standard
PBS buffer solution (10 mM phosphate, ionic strength of 150 mM, and
pH 6.4) at 21 °C. The viscoelastic modeling is discussed in the
Voigt-based analysis section in the Supporting Information.
Ellipsometry
Silicon substrates
were activated in oxygen
plasma for 1.5 min, producing a SiO2 layer with 1.4 nm
thickness, and functionalized by adapting the procedure of a QCM by
alternatively dipping them in either PLL-OEG(4.8)-DBCO(1.8) or PLL-OEG(8.5)-DBCO(1.8)
solutions (0.5 mg/mL in PBS 6.4) for 10 min. Thereafter, the substrates
were placed in Milli-Q water for 5 min followed by dipping in PSS
solution (0.5 mg/mL in PBS 6.4) for another 10 min. These steps were
repeated until the desired number of layers was reached. The thickness
of the multilayer architecture was measured by ellipsometry (Woollam
M-2000UI) in the range of 245–1690 nm, with spectral resolutions
of 1.6 nm (245–100 nm) and 3.2 nm (1000–1690 nm) and
a beam diameter of 300 μm. The ellipsometry data (values given
are averages over 12 spots on the surface) were obtained at an incident
angle of 75° and fitted with a Cauchy layer with a refractive
index of 1.46. A second set of measurements was performed after overnight
drying at 60 °C in a controlled atmosphere setup. The values
are reported in Table S4.
Authors: Matthew T Maurano; Richard Humbert; Eric Rynes; Robert E Thurman; Eric Haugen; Hao Wang; Alex P Reynolds; Richard Sandstrom; Hongzhu Qu; Jennifer Brody; Anthony Shafer; Fidencio Neri; Kristen Lee; Tanya Kutyavin; Sandra Stehling-Sun; Audra K Johnson; Theresa K Canfield; Erika Giste; Morgan Diegel; Daniel Bates; R Scott Hansen; Shane Neph; Peter J Sabo; Shelly Heimfeld; Antony Raubitschek; Steven Ziegler; Chris Cotsapas; Nona Sotoodehnia; Ian Glass; Shamil R Sunyaev; Rajinder Kaul; John A Stamatoyannopoulos Journal: Science Date: 2012-09-05 Impact factor: 47.728
Authors: Arpita De; Serhiy Souchelnytskyi; Albert van den Berg; Edwin T Carlen Journal: ACS Appl Mater Interfaces Date: 2013-05-20 Impact factor: 9.229
Authors: Frank Diehl; Kerstin Schmidt; Michael A Choti; Katharine Romans; Steven Goodman; Meng Li; Katherine Thornton; Nishant Agrawal; Lori Sokoll; Steve A Szabo; Kenneth W Kinzler; Bert Vogelstein; Luis A Diaz Journal: Nat Med Date: 2007-07-31 Impact factor: 53.440