Vinayak Narasimhan1, Radwanul Hasan Siddique1,2, Haeri Park1, Hyuck Choo3,4. 1. Department of Medical Engineering, California Institute of Technology, Pasadena, California 91125, United States. 2. Image Sensor Lab, Samsung Semiconductor, Inc., Pasadena, California 91101, United States. 3. Department of Electrical Engineering, California Institute of Technology, Pasadena, California 91125, United States. 4. Samsung Advanced Institute of Technology, Samsung Electronics, Suwon, Gyeonggi-do 16678, South Korea.
Abstract
Flexible surface-enhanced Raman scattering (SERS) has received attention as a means to move SERS-based broadband biosensing from bench to bedside. However, traditional flexible periodic nano-arrangements with sharp plasmonic resonances or their random counterparts with spatially varying uncontrollable enhancements are not reliable for practical broadband biosensing. Here, we report bioinspired quasi-(dis)ordered nanostructures presenting a broadband yet tunable application-specific SERS enhancement profile. Using simple, scalable biomimetic fabrication, we create a flexible metasurface (flex-MS) of quasi-(dis)ordered metal-insulator-metal (MIM) nanostructures with spectrally variable, yet spatially controlled electromagnetic hotspots. The MIM is designed to simultaneously localize the electromagnetic signal and block background Raman signals from the underlying polymeric substrate-an inherent problem of flexible SERS. We elucidate the effect of quasi-(dis)ordering on broadband tunable SERS enhancement and employ the flex-MS in a practical broadband SERS demonstration to detect human tear uric acid within its physiological concentration range (25-150 μM). The performance of the flex-MS toward noninvasively detecting whole human tear uric acid levels ex vivo is in good agreement with a commercial enzyme-based assay.
Flexible surface-enhanced Raman scattering (SERS) has received attention as a means to move SERS-based broadband biosensing from bench to bedside. However, traditional flexible periodic nano-arrangements with sharp plasmonic resonances or their random counterparts with spatially varying uncontrollable enhancements are not reliable for practical broadband biosensing. Here, we report bioinspired quasi-(dis)ordered nanostructures presenting a broadband yet tunable application-specific SERS enhancement profile. Using simple, scalable biomimetic fabrication, we create a flexible metasurface (flex-MS) of quasi-(dis)ordered metal-insulator-metal (MIM) nanostructures with spectrally variable, yet spatially controlled electromagnetic hotspots. The MIM is designed to simultaneously localize the electromagnetic signal and block background Raman signals from the underlying polymeric substrate-an inherent problem of flexible SERS. We elucidate the effect of quasi-(dis)ordering on broadband tunable SERS enhancement and employ the flex-MS in a practical broadband SERS demonstration to detect human tear uric acid within its physiological concentration range (25-150 μM). The performance of the flex-MS toward noninvasively detecting whole human tear uric acid levels ex vivo is in good agreement with a commercial enzyme-based assay.
Surface-enhanced
Raman scattering (SERS) has shown great promise
as a technique for molecular fingerprinting because of its high sensitivity
and selectivity along with its inherent simplicity.[1−3] In particular,
SERS from flexible substrates has received great attention recently
owing to its advantages over rigid substrates.[4−6] For instance,
flexible SERS can be used on irregular surfaces for in situ biosensing thereby overcoming complex analyte extraction strategies
and other sample preparation steps required while using conventional
rigid substrates. However, the adoption of flexible SERS as a point-of-care
diagnostic tool has been limited by a number of factors.[6] First, most structures used for this application
are designed either with periodic arrangements because of their highly
predictable plasmonic resonances[7,8] or with random arrangements
because of their ease of fabrication.[9,10] However, periodic
structures with narrowband resonance profiles are not tunable for
multiplexing.[6−8] Multiplexed in situ SERS for instance
would require a broadband and tunable plasmonic resonance profile
to provide uniform enhancement of various Raman modes occurring at
greatly differing vibrational energy states.[11−13] In the same
vein, random structures do not guarantee repeatable SERS performance
for a given bandwidth because of spatially varying enhancements that
are not tunable.[14] Second, flexible SERS
platforms are usually made of polymers that generate a considerable
Raman background signal.[6] Finally, challenges
in obtaining reproducible signal can also be attributed to the difficulty
in homogeneously, scalable and cost effective manufacturing SERS active
sites or hotspots.[15] These issues necessitate
the requirement for flexible SERS approaches with spatially uniform
broadband, yet tunable plasmonic resonances that are scalable and
reliably manufacturable.Inspiration can be sought from nature
which boasts a plethora of
biophotonic nanostructures possessing quasi-(dis)order or controlled
disorder where both structural dimensions and periodicity follow unique
distributions.[16,17] Such an amalgamation of short-range
order (i.e., periodicity) with long-range disorder
(i.e., randomization) along with variations in the
structure size leads to a host of useful omnidirectional broadband,
yet tunable optical properties.[18−20] In this work, using a simple
biomimetic fabrication process, we realize a highly scalable and flexible
plasmonic metasurface-based (flex-MS) SERS platform. The flex-MS consists
of a dense quasi-(dis)ordered ensemble of gold (Au) nanodisks on nanoholes
separated by a sub-10 nm silicon dioxide (SiO2) nanogap
in a metal–insulator–metal (MIM) configuration. The
entire configuration is created at a wafer-scale over a 400 μm-thick
silicone elastomer (PDMS) layer. The MIM is designed not only for
light confinement and field enhancement, but is also responsible for
blocking the Raman background signal from the underlying PDMS. The
fabrication approach which is spin-coating based allows for a short-range-ordered
Gaussian distribution of MIM nanostructure diameters resulting in
a broadband, yet tunable plasmonic resonance and corresponding |E/Eo|2 enhancement
factor (EF). Through rigorous numerical simulations and comparative
experimentation, we isolate the contributions of the bioinspired short-range
periodicity (i.e., positional disorder) and the diameter
distribution (i.e., size disorder) toward SERS EF.
As a practical broadband SERS demonstration of the flex-MS, we perform
the label-free detection of human tear uric acid (UA) toward the diagnosis
various chronic pathologies. Our platform effectively tracks prominent
peaks of UA at large Raman shifts within its physiological concentration
range (25–150 μM) in human tears. Finally, we show that
the performance of the flex-MS in detecting UA levels in whole human
tear samples from different subjects is in good agreement with a commercial
enzyme-based assay.
Results and Discussion
Flex-MS Fabrication and Characterization
The flex-MS
was fabricated using a simple process consisting of
three steps, as shown in Figure a. On spin-coated PDMS thin films, the first step involves
a biomimetic technique that relies on nanostructuring through the
lateral phase-separation of two synthetic polymers—polystyrene
(PS) and polymethyl methacrylate (PMMA) co-dissolved in methyl ethyl
ketone (MEK).[20,21] This approach is analogous to
the formation of quasi-(dis)ordered biophotonic nanostructures on
the wings and scales of birds and insects.[22] The lateral phase separation of PS and PMMA occurs under spin-coating
which results in densely packed quasi-(dis)ordered distribution of
circular hydrophobic PS islands in a matrix of hydrophilic PMMA (Figure S1). Furthermore, through the control
of various parameters such as the spin-speeds, relative humidities,
polymer weight ratios, and molecular weights, the average diameter
and short-range periodicity of the PS islands can be effectively tuned.[23,24] Next, through selective dissolution of PMMA in acetic acid which
leaves behind a nanopillar mask of PS, SiO2 is directionally
deposited through E-beam evaporation. Finally, Au
of an appropriate thickness is directionally evaporated over the SiO2 nanopillars to create a scalable flex-MS with uniform sub-10
nm thick MIM nanogaps. A photograph and SEM image of the flex-MS are
shown in Figure b,c.
A 2D fast Fourier transform (FFT) of the top view SEM image as shown
in the inset of Figure c reveals a ring-shape distribution in the spatial domain that is
characteristic of quasi-(dis)order in nature.[16,17,20] The average short-range isotropic periodicity
in this case is 318 ± 45 nm. Moreover, the second inset in Figure c shows a high-magnification
SEM image of a single MIM structure confirming the sub-10 nm hotspot.
Additionally, we have verified the existence of the sub-10 nm gap
in our prior work.[24]Figure d shows a distribution of MIM structure diameters
which can be estimated by a Gaussian profile fit with a mean and standard
deviation (SD) of 101 ± 49 nm.
Figure 1
(a) Simple and scalable three-step fabrication
process of the flex-MS.
(b) Fabricated flex-MS sample with (c) quasi-(dis)ordered MIM nanostructures.
Insets correspond to the 2D FFT taken to determine a short-range periodicity
of 318 ± 45 nm (left) and a single MIM nanostructure of diameter
100 nm with the sub-10 nm insulator nanogap indicated by the white
arrow (right). Scale bar:
2 μm. (d) MIM structure diameter distribution with a Gaussian
mean and SD of 101 ± 49 nm.
(a) Simple and scalable three-step fabrication
process of the flex-MS.
(b) Fabricated flex-MS sample with (c) quasi-(dis)ordered MIM nanostructures.
Insets correspond to the 2D FFT taken to determine a short-range periodicity
of 318 ± 45 nm (left) and a single MIM nanostructure of diameter
100 nm with the sub-10 nm insulator nanogap indicated by the white
arrow (right). Scale bar:
2 μm. (d) MIM structure diameter distribution with a Gaussian
mean and SD of 101 ± 49 nm.
Single MIM Structure Simulations
The aforementioned
dimensions were chosen through rigorous finite-difference
time-domain (FDTD) simulations. First, as shown in Figure a, a single MIM structure with
a 5 nm insulator gap was simulated to obtain the extinction profile
and electric-field distribution. The plasmonic behaviors of the two
metal layers (Au nanohole and Au nanodisk) couple with each other
leading to strong electric-field confinement at the MIM junction.[24] This effect has been demonstrated for different
MIM combinations toward broadband SERS applications.[25,26] Additionally, we have previously demonstrated the use of similar
MIM structures with higher-order plasmonic gap modes toward plasmon-enhanced
fluorescent detection of nucleic acids and suppression of fluorescence
quenching.[24] A modal analysis reveals that
in the vis–NIR regime, this coupling results in the formation
of a dipolar mode polarized along the MIM junction (Figure b). This, in turn, produces
a very tunable and large extinction cross section and a corresponding
localized |E|2 enhancement. Figure c presents the maximum normalized
|E/Eo|2 enhancement
numerically obtained for single MIM structures ranging from 60 to
110 nm in diameter with a 5 nm gap. However, like most ordered plasmonic
structures used for SERS, this mode is fairly narrowband.
Figure 2
(a) Schematic
of a single MIM nanostructure on the flex-MS platform
(b) Coupling of the Au nanodisk and Au nanohole across the SiO2 nanogap results in greatly enhanced electric-field environments.
(c) Field profile of the nanogap shows the presence of a vertically
polarized dipolar mode. (d) Normalized maximum theoretical |E/Eo|2 enhancement
(solid curves) and extinction cross section (dotted curves) of a single
MIM nanostructure of varying diameter between 60 and 110 nm with a
fixed gap size of 5 nm.
(a) Schematic
of a single MIM nanostructure on the flex-MS platform
(b) Coupling of the Au nanodisk and Au nanohole across the SiO2 nanogap results in greatly enhanced electric-field environments.
(c) Field profile of the nanogap shows the presence of a vertically
polarized dipolar mode. (d) Normalized maximum theoretical |E/Eo|2 enhancement
(solid curves) and extinction cross section (dotted curves) of a single
MIM nanostructure of varying diameter between 60 and 110 nm with a
fixed gap size of 5 nm.
Flex-MS
Ensemble Simulations
To quantify
the impact of quasi-(dis)ordering on the |E/Eo|2 enhancement, we generated an
ensemble of quasi-(dis)ordered MIM structures to simulate their optical
properties. Two aspects were studied: (1) short-range periodicity
(i.e., positional disorder) and (2) diameter distribution
(i.e., size disorder). Here, the diameters of the
structures were made to obey a Gaussian distribution as with the flex-MS
(diameter: 98 ± 30 nm) with short-range periodicity (319 ±
37 nm) (Figure S2). To isolate the individual
contributions of (1) and (2), periodic structures (diameter: 100 nm,
periodicity: 320 nm) and short-range-ordered structures of the same
diameter (diameter: 100 nm) were considered. For the three categories
of structures, an insulator gap of 9 nm was chosen to tune the resonance
close to the laser wavelength (λL = 785 nm) (Figure S3). The effective normalized |E/Eo|2 enhancement
in each case (averaged over 4000 individual hotspots) was computed
not only at the laser wavelength (λL = 785 nm), but
also the Raman-shifted wavelengths of relevance (λ1, λ2, and λ3 = 827, 861, and 902
nm) for this work. For periodic structures, the resonance profile
is predictably governed by the collective gap-plasmon resonance of
individual MIM structures that dominate any weaker in-plane lattice
effects (Figure a).[27] This is evidenced by the fact that the periodic
array resonance position and mode shape is identical to that of a
single MIM structure (diameter: 100 nm, gap: 9 nm) (Figure S4). Next, quasi-(dis)ordered structures with the same
diameter (i.e., positional disorder) were studied.
The effect of the pure positional disorder retains the collective
gap-plasmon resonance of individual MIM structures marked by the same
resonance position and intensity as that of the periodic array given
the same number of averaged hotspots (Figure b). In other words, for a periodicity that
is large enough to ensure either weak or no coupling between adjacent
nanostructures, the effect of the short-range order (i.e., pure positional disorder) is negligible.[28,29] Finally, the introduction of a Gaussian distribution of diameters
along with the short-range order (i.e., size and
positional disorder) produces a considerably more broadband |E/Eo|2 enhancement
compared to the periodic structures as shown in Figure c because of the resonance of subsets of
MIM structures of a given diameter (Figures d and S5).[28] The bandwidth of the |E/Eo|2 enhancement of size-disordered
structures (∼219 nm) was 3.4 times larger than that of the
periodic structures (∼65 nm). The fractal, yet controllable
nature of the MIM ensemble with a size and positional disorder produces
a broadband |E/Eo|2 enhancement that encompasses λL and λ1–3. While the periodic structures and those with a
pure positional disorder provide a high effective enhancement at λL (i.e., |E/Eo|λ2) of 3358
and 3430, respectively, their enhancements at λ1–3 is considerably lower (periodic: |E/Eo|λ2 ≈
1210, |E/Eo|λ2 ≈ 563, and |E/Eo|λ2 ≈ 285; pure positional disorder: |E/Eo|λ2 ≈ 1252, |E/Eo|λ2 ≈ 585, and |E/Eo|λ2 ≈ 292). In comparison, the introduction
of the size disorder provides a more uniform enhancement with |E/Eo|λ2 ≈ 1992, |E/Eo|λ2 ≈
1748, |E/Eo|λ2 ≈ 1305, and |E/Eo|λ2 ≈ 921.
Figure 3
Ensemble of (a) periodic MIM nanostructures and (b) those
with
pure positional disorder demonstrating an identical narrowband effective
normalized |E/Eo|2 enhancement profile. (c) Effective normalized |E/Eo|2 enhancement profile
of a quasi-(dis)ordered MIM ensemble with both positional and size
disorder is broadband compared to (a,b). The |E/Eo|2 enhancement profile encompasses
the excitation and the Raman-shifted wavelengths (λL, λ1, λ2, and λ3) of relevance in this work. (d) Field-map spanning the 3.5 ×
3.5 μm array at λL, λ1, λ2, and λ3 shows the progressive excitation
of first small and then larger MIM nanostructures with increasing
wavelength. (e) Effective |E/Eo|4 enhancement from periodic structures, structures
with a positional disorder only and those with both positional and
size disorder. This effective enhancement was numerically computed
as EF(ωL, ωR).
Ensemble of (a) periodic MIM nanostructures and (b) those
with
pure positional disorder demonstrating an identical narrowband effective
normalized |E/Eo|2 enhancement profile. (c) Effective normalized |E/Eo|2 enhancement profile
of a quasi-(dis)ordered MIM ensemble with both positional and size
disorder is broadband compared to (a,b). The |E/Eo|2 enhancement profile encompasses
the excitation and the Raman-shifted wavelengths (λL, λ1, λ2, and λ3) of relevance in this work. (d) Field-map spanning the 3.5 ×
3.5 μm array at λL, λ1, λ2, and λ3 shows the progressive excitation
of first small and then larger MIM nanostructures with increasing
wavelength. (e) Effective |E/Eo|4 enhancement from periodic structures, structures
with a positional disorder only and those with both positional and
size disorder. This effective enhancement was numerically computed
as EF(ωL, ωR).
Broadband SERS Enhancement Factor Computation
The origin of this broadband effect can be of great benefit to
SERS. As per the frequently used |E|4-approximation,
SERS enhancement factor (EF) is typically expressed aswhere Eloc(ωL, m) and Einc(ωL, m) are the localized and incident electric fields
at a laser excitation frequency of ωL for a Raman
dipole at position m.[30] Here, a significant contribution from the radiative
enhancement Mrad is overlooked in favor
of electric-field enhancement Mloc.[31−33]Mrad measures the enhancement of the
power radiated by a dipole in the presence of a plasmonic nanostructure.
Factoring in this contribution, the EF can be more precisely expressed
as[30]where ωR is the Stokes-shifted
Raman scattering frequency. The |E|4-approximation
assumes that ωR ≈ ωL and
as a result, Mloc ≈ Mrad. While this approximation is accurate for ωL in the blue and green regime, it is inaccurate in the red
and NIR regime particularly within the fingerprint region (500–1500
cm–1).[32,34] This is because for
a given vibrational mode, the difference between the vibrational and
excitation energies becomes more significant for lower energy excitations.
In principle, for NIR-based SERS, broadband EFs are greatly desirable
as they better account for Mrad.[32] Based on our ensemble simulations, the effective
EF(ωL, ω1–3) for the periodic
structures (EF(ωL, ω1) ≈
4.06 × 106, EF(ωL, ω2) ≈ 1.89 × 106, and EF(ωL, ω3) ≈ 0.96 × 106) and those
with a purely positional disorder (EF(ωL, ω1) ≈ 4.29 × 106, EF(ωL, ω2) ≈ 2.01 × 106, and EF(ωL, ω3) ≈ 1.00 × 106) are evidently lower for ω2 and ω3 than structures with a size and positional disorder (EF(ωL, ω1) ≈ 3.48 × 106, EF(ωL, ω2) ≈ 2.60 ×
106, and EF(ωL, ω3) ≈
1.84 × 106) (Figure e).The effect of the bioinspired quasi-(dis)order
was then experimentally verified by comparing the optical properties
of the flex-MS with periodic MIM structures (diameter: 100 nm, periodicity:
320 nm, gap: 9 nm) fabricated via E-beam lithography.
Using a microspectroscopic setup in dark-field (DF) mode, the scattering
cross section of the two metasurfaces were measured in the NIR regime.
This revealed the considerably more broadband scattering profile of
the flex-MS compared to the periodic array (Figure a). Furthermore, the existence of the 9 nm
gap was verified through simulation (Figure S6). The SERS performance of the two sets of structures was compared
by detecting UA—a SERS-active molecule with prominent peaks
at 640, 1134, and 1645 cm–1 which originate from
the skeletal ring and C–N bond deformations.[35] When excited with a 785 nm laser, these peaks appear at
827, 861, and 902 nm, respectively (i.e., ωL ≠ ωR). For the same UA concentration
in DI water (150 μM) and three different laser powers (0.32,
0.62, and 1.12 mW), the three peaks under consideration were uniformly
enhanced by the flex-MS compared to the periodic MIM structures (Figure b,c). The 640 cm–1 peak was enhanced more significantly by the periodic
structures compared to the flex-MS as this peak lies closest to ωL, where the sharp plasmonic resonance of the former is tuned.
However, 1134 and 1645 cm–1 peaks that were located
further away from ωL were enhanced more significantly
by the flex-MS because of its broadband enhancement profile. This
property is particularly useful for sensing with low power. In our
case for instance, when using a power of 0.32 mW, the 1134 and 1645
cm–1 peaks were enhanced 3.1 and 5.7 fold by the
flex-MS compared to the periodic structures. Finally, the background
suppression property of the flex-MS was also verified through comparative
experimentation (Figure S7).
Figure 4
(a) Scattering
intensity of the fabricated periodic and quasi-(dis)ordered
array shown as solid lines measured using a microspectroscopic setup
operating in DF mode. The simulated scattering profile of a single
MIM structure (gap: 9 nm) which most closely matches the experimental
result is also shown as a dotted line. The SEM images of the corresponding
structures are shown in the inset. (b) SERS spectra of UA measured
at 0.62 mW laser power. While the periodic MIM array enhances the
640 cm–1 peak considerably, the flex-MS offers a
more broadband enhancement of all three peaks. (c) Analysis performed
for various laser powers.
(a) Scattering
intensity of the fabricated periodic and quasi-(dis)ordered
array shown as solid lines measured using a microspectroscopic setup
operating in DF mode. The simulated scattering profile of a single
MIM structure (gap: 9 nm) which most closely matches the experimental
result is also shown as a dotted line. The SEM images of the corresponding
structures are shown in the inset. (b) SERS spectra of UA measured
at 0.62 mW laser power. While the periodic MIM array enhances the
640 cm–1 peak considerably, the flex-MS offers a
more broadband enhancement of all three peaks. (c) Analysis performed
for various laser powers.
Broadband SERS Biosensing of Tear UA
The
broadband enhancement of the flex-MS platform was used to detect
various concentrations of UA. Hyperuricemia (i.e.,
elevated levels of blood UA) has been identified as a biomarker of
various diseases such as gout or gouty arthritis,[36] diabetes,[37] Parkinson’s
disease,[38] renal disease,[39] and cardiovascular disease,[40] to name a few. While continual monitoring of UA in blood is hindered
by the invasive nature of blood collection and sampling, human tears
which are considerably less invasive to assay thereby proving to be
an interesting alternative.[41] Tears are
also far less complex in constituents compared to blood and have large
average concentrations of UA (68 ± 46 μM).[10] Furthermore, a clear correlation between blood and tear
UA levels has been established.[10] As a
result, assaying tear UA levels noninvasively and in a label-free
fashion via flexible SERS holds great promise. Using
the flex-MS, we first tracked the 640, 1134, and 1645 cm–1 peaks for UA concentrations ranging from 25 to 150 μM in phosphate-buffered
saline (PBS) (Figure a–c). Next, to better simulate the SERS profile of UA in whole
tears, we prepared various concentrations of UA between 25 and 150
μM in an artificial tear buffer which consisted of various prominent
tear proteins such as lysozyme, lactoferrin, albumin, and immunoglobulins,
as well as electrolytes that maintain tear osmolarity such as Na+, K+, Cl–, and HCO3– (see the Methods Section in Supporting Information for additional details). As a practical
demonstration of broadband SERS enhancement, the 640, 1134, and 1645
cm–1 peaks were tracked with excellent linearity
being observed as shown in Figure d. These measurements from an artificial tear buffer
were used as a characteristic curve to map measurements taken for
whole tears. Finally, we analyzed the performance of the flex-MS toward
the detection of UA levels in whole tears. Here, we tested pooled
tears from eight different samples obtained from healthy subjects.
As a comparison, the same measurement was made using a commercial
colorimetric enzyme-based assay. The average concentration from the
flex-MS for the 640, 1134, and 1645 cm–1 peaks (66,
67, and 67 μM, respectively) was in good agreement with that
from the enzyme-based assay (76 μM) which demonstrates the potential
of the flex-MS as an effective label-free SERS diagnostic platform
(Figure e).
Figure 5
(a) Peaks of
UA at 640, 1134, and 1645 cm–1 tracked
between 25 and 150 μM in PBS. (b) SERS surface mapping (UA concentration:
150 μM) over a 150 × 150 μm area at 640, 1134, and
1645 cm–1 showing spatial uniformity. Scale bars:
20 μm. (c) Normalized intensity of each peak shows excellent
linearity. (d) 640, 1134, and 1645 cm–1 peaks tracked
between 25 and 150 μM in artificial tear buffer. (e) SERS performance
of the flex-MS using all three peaks is compared for pooled whole
tears consisting of 8 individual tear samples with a commercial enzyme-based
assay. The two results are in good agreement.
(a) Peaks of
UA at 640, 1134, and 1645 cm–1 tracked
between 25 and 150 μM in PBS. (b) SERS surface mapping (UA concentration:
150 μM) over a 150 × 150 μm area at 640, 1134, and
1645 cm–1 showing spatial uniformity. Scale bars:
20 μm. (c) Normalized intensity of each peak shows excellent
linearity. (d) 640, 1134, and 1645 cm–1 peaks tracked
between 25 and 150 μM in artificial tear buffer. (e) SERS performance
of the flex-MS using all three peaks is compared for pooled whole
tears consisting of 8 individual tear samples with a commercial enzyme-based
assay. The two results are in good agreement.
Conclusions
In summary, using a simple biomimetic
fabrication process, we have
developed a cost-effective, scalable, and flexible plasmonic metasurface-based
platform for label-free SERS. The flex-MS consists of a dense ensemble
of closely coupled Au nanodisks and Au nanoholes separated by sub-10
nm SiO2 nanogaps in an MIM arrangement all on flexible
PDMS thin films. The MIM provides a very tunable and large extinction
cross section and a corresponding localized |E|2 enhancement. When considering an ensemble of such MIM structures
exhibiting controlled disorder, the resonance profile of the entire
system becomes broadband thereby enabling the uniform enhancement
of not just the excitation wavelength (λL), but also
large Stokes-shifted Raman scattering wavelengths (λR ≠ λL). Finally, using flex-MS as a broadband
diagnostic platform, we demonstrate the label-free detection of UA
in both artificial tear buffer as well as whole human tear samples.
Additionally, we compare the performance of the flex-MS with a commercial
UA measurement assay and show that they are in good agreement. As
a result, we envisage that through broadband SERS enhancement, the
flex-MS can prove to be a reliable and scalable label-free diagnostic
platform for a variety of SERS-active molecules.
Experimental
Section
Biomimetic Flex-MS Fabrication
First,
a 400 μm thick PDMS layer (Sylgard 184 elastomer base mixed
with curing agent in a ratio of 10:1, Dow Chemical Co., USA) was spin-coated
on a 4 in. Si wafer and cured at 65 °C for 12 h. Next, poly(methyl
methacrylate) (PMMA, Mw = 5090, Polymer
Standards Service GmbH, Germany) and polystyrene (PS, Mw = 3250, Polymer Standards Service GmbH, Germany) were
co-dissolved in MEK (Sigma-Aldrich, USA) with mass ratios of 70%:30%.
The solution concentrations were 20 mg mL–1. After
exposing the PDMS substrate to O2 plasma for 5 min, the
polymer blend solutions were spin-coated at a spin-speed of 3500 rpm
and acceleration of 2000 rpm s–1 for 30 s. Relative
humidity was maintained between 40 and 50% during the spin-coating.
As shown in Figure S1, the de-mixing of
the blend components occurs during spin-coating because of the difference
in relative solubility of PS and PMMA in MEK. First, water condensation
begins at humidity levels above 35% forming a water-rich layer at
the air/solution interface because of the difference in the evaporation
rate between water and MEK. Water starts to condense from the air
into the solution because of the evaporation of MEK decreasing the
temperature on the top, below the dew point. Because of the high water
concentration, a 3D phase separation occurs between PS/MEK and PMMA/MEK/water.
Upon drying, a purely lateral morphology was formed with ellipsoidal
PS islands in a PMMA matrix. The samples were then rinsed in acetic
acid for 60 s and dried in a stream of N2 to remove the
PMMA matrix leaving behind the PS islands. The resulting PS nanopillar
mask then served as a template for the E-beam evaporation
of a 100 ± 0.5 nm-thick SiO2 layer (CHA MK40 E-Beam
Evaporation, CHA Industries, USA). Next, a 91 ± 1.1 nm-thick
Au layer was deposited (CHA MK40 E-Beam Evaporation, CHA Industries,
USA) over SiO2 to generate the MIM layer with ∼9
± 1.6 nm gap. Finally, the PDMS film was peeled off the Si wafer
and served as a SERS substrate for biosensing experiments.
Periodic MIM Array Fabrication
PMMA950
A4 (MicroChem, USA) E-beam resist was spin-coated
at 1500 rpm for 60 s onto an Si substrate cleaned with acetone and
isopropyl alcohol prior to spin-coating. The sample was then exposed
at a dosage of 800 μC cm–2 (Raith EBPG 5200,
Raith Nanofabrication, Germany). Following exposure, development was
carried out using a 1:1 ratio of IPA/MIBK for 1 min. Next, SiO2 was directionally deposited via E-beam evaporation
(CHA MK40 E-Beam Evaporation, CHA Industries, USA) after which lift-off
was performed in Remover PG leaving behind SiO2 nanopillars.
Finally, Au of an appropriate thickness was deposited (CHA MK40 E-Beam
Evaporation, CHA Industries, USA) over SiO2 to generate
the MIM layer.
High-Resolution Imaging
and Statistical Analyses
of the Flex-MS
SEM imaging was performed on the flex-MS using
a Nova 200 Novalab Dualbeam microscope (FEI, USA) at 10 kV. ImageJ
(National Institutes of Health, USA), a Java-based public-domain image
processing tool was used to obtain the diameter distribution of the
nanostructures. Every pixel in the acquired SEM images were converted
to black or white based on a thresholding condition that was obtained
by calculating the mean intensity value of all pixels of the image.
Following this, the diameter distribution of the MIM scatterers was
determined. Finally, the FFT analysis to determine short-range periodicity
was performed using MATLAB (MathWorks, USA).
Optical
Simulations of the Flex-MS
Optical simulations of a single
MIM nanostructure as well as the
quasi-ordered/periodic ensemble as a whole were performed using 3D
finite-difference time-domain software (Lumerical Solutions, Canada).
A combination of periodic and perfect matching layer boundary conditions
along with a plane wave source was used. The absorption cross section
was obtained in the total field region inside the source while the
scattering cross section was obtained in the scattered field region
outside the source. The influence of the nanogap was studied as shown
in Figure S6. The |E/Eo|2 enhancement was obtained by placing
a frequency-domain field monitor at the MIM junction spanning the
entire MIM nanostructure or the ensemble, respectively. The field
maps as well as the effective |E/Eo|2 enhancement (averaged over 4000 individual
hotspots or mesh cells) in the case of the ensemble were calculated
using MATLAB (MathWorks, USA).
Spectroscopic
Analyses
An optical
microscope operating in dark-field (DF) mode was used for the microspectroscopic
investigation of the fabricated flex-MS and periodic MIM array samples.
A halogen lamp was used as a light source using a 50× objective.
The scattered light was collected in a confocal configuration and
analyzed using a spectrometer (AvaSpec-ULS2048x64-USB2). A 400 μm
core optical fiber was used to obtain a spatial resolution of 20 μm
to characterize the scattering of the samples.
SERS
Measurements
All SERS measurements
were performed by incubating a 30 μL droplet of the reagent
on the flex-MS for 30 min. Following this, the drop was dislodged
from the sample surface using a stream of N2. The sample
was then measured dry using a Raman microscope (inVia, Renishaw, United
Kingdom) with a 50× objective lens. A 785 nm laser operated at
0.32, 0.62, or 1.12 mW for a duration of 60 s was used to take the
measurements.
Artificial Tear Buffer
Preparation
Artificial tear buffer was prepared using previously
reported methods.[10,42] Briefly, electrolytes K+, HCO3–, Na+, and Cl– were added to DI water
at concentrations of 24, 24, 130, and 130 mM, respectively. Following
this, representative tear proteins such as lysozyme, lactoferrin,
albumin, and IgG were added at concentrations of 2 mg mL–1, 2 mg mL–1, 0.02 mg mL–1, and
3 μg mL–1 respectively.
Whole Tear Assay
Eight individual
tear samples were collected from healthy subjects and pooled for the
experiment. For a comparative study, a commercial enzyme-based colorimetric
UA detection kit (Sigma-Aldrich, USA) was used. The assay was performed
following the manufacturer’s protocol.
Authors: Vinodkumar Saranathan; Ainsley E Seago; Alec Sandy; Suresh Narayanan; Simon G J Mochrie; Eric R Dufresne; Hui Cao; Chinedum O Osuji; Richard O Prum Journal: Nano Lett Date: 2015-05-14 Impact factor: 11.189
Authors: Judith Langer; Dorleta Jimenez de Aberasturi; Javier Aizpurua; Ramon A Alvarez-Puebla; Baptiste Auguié; Jeremy J Baumberg; Guillermo C Bazan; Steven E J Bell; Anja Boisen; Alexandre G Brolo; Jaebum Choo; Dana Cialla-May; Volker Deckert; Laura Fabris; Karen Faulds; F Javier García de Abajo; Royston Goodacre; Duncan Graham; Amanda J Haes; Christy L Haynes; Christian Huck; Tamitake Itoh; Mikael Käll; Janina Kneipp; Nicholas A Kotov; Hua Kuang; Eric C Le Ru; Hiang Kwee Lee; Jian-Feng Li; Xing Yi Ling; Stefan A Maier; Thomas Mayerhöfer; Martin Moskovits; Kei Murakoshi; Jwa-Min Nam; Shuming Nie; Yukihiro Ozaki; Isabel Pastoriza-Santos; Jorge Perez-Juste; Juergen Popp; Annemarie Pucci; Stephanie Reich; Bin Ren; George C Schatz; Timur Shegai; Sebastian Schlücker; Li-Lin Tay; K George Thomas; Zhong-Qun Tian; Richard P Van Duyne; Tuan Vo-Dinh; Yue Wang; Katherine A Willets; Chuanlai Xu; Hongxing Xu; Yikai Xu; Yuko S Yamamoto; Bing Zhao; Luis M Liz-Marzán Journal: ACS Nano Date: 2019-10-08 Impact factor: 15.881
Authors: Elvin S Allakhverdiev; Venera V Khabatova; Bekzhan D Kossalbayev; Elena V Zadneprovskaya; Oleg V Rodnenkov; Tamila V Martynyuk; Georgy V Maksimov; Saleh Alwasel; Tatsuya Tomo; Suleyman I Allakhverdiev Journal: Cells Date: 2022-01-24 Impact factor: 6.600