Uniformly controlling a large number of metal nanostructures with a plasmonically enhanced signal to generate quantitative optical signals and the widespread use of these structures for surface-enhanced Raman scattering (SERS)-based biosensing and bioimaging applications are of paramount importance but are extremely challenging. Here, we report a highly controllable, facile selective-interdiffusive dealloying chemistry for synthesizing the dealloyed intra-nanogap particles (DIPs) with a ∼2 nm intragap in a high yield (∼95%) without the need for an interlayer. The SERS signals from DIPs are highly quantitative and polarization-independent with polarized laser sources. Remarkably, all the analyzed particles displayed the SERS enhancement factors (EFs) of ≥1.1 × 108 with a very narrow distribution of EFs. Finally, we show that DIPs can be used as ultrasensitive SERS-based DNA detection probes for detecting 10 aM to 1 pM target concentrations and highly robust, quantitative real-time cell imaging probes for long-term imaging with low laser power and short exposure time.
Uniformly controlling a large number of metal nanostructures with a plasmonically enhanced signal to generate quantitative optical signals and the widespread use of these structures for surface-enhanced Raman scattering (SERS)-based biosensing and bioimaging applications are of paramount importance but are extremely challenging. Here, we report a highly controllable, facile selective-interdiffusive dealloying chemistry for synthesizing the dealloyed intra-nanogap particles (DIPs) with a ∼2 nm intragap in a high yield (∼95%) without the need for an interlayer. The SERS signals from DIPs are highly quantitative and polarization-independent with polarized laser sources. Remarkably, all the analyzed particles displayed the SERS enhancement factors (EFs) of ≥1.1 × 108 with a very narrow distribution of EFs. Finally, we show that DIPs can be used as ultrasensitive SERS-based DNA detection probes for detecting 10 aM to 1 pM target concentrations and highly robust, quantitative real-time cell imaging probes for long-term imaging with low laser power and short exposure time.
Plasmonic nanostructures, particularly
with a plasmonically coupled
and enhanced nanogap, are of paramount importance and interest due
to their strong, tunable optical properties and enormous potential
in various applications including catalysis, sensing, and imaging.[1−4] Because the optical properties of plasmonic nanostructures are highly
dependent on various nanostructural features, highly precise synthesis
of plasmonic nanostructures in a high yield is needed to obtain controllable,
quantifiable plasmonic signals from these nanostructures. Among many
plasmonically enhanced optical signals, surface–enhanced Raman
scattering (SERS) has received lots of attention because of its ultrahigh
sensitivity, which can be extended to single-molecule-level sensitivity
and multiplexing potential.[5] In this regard,
SERS-based techniques are being exploited widely in plasmonics and
analytical applications, including for biosensing and the detection
of chemical warfare agents.[6,7] In plasmonics, it is
now well-known that the excitation of localized surface plasmon resonances
in nanoparticles (NPs) of noble metals (in particular, those of Au
and Ag) can significantly enhance and localize the electromagnetic
(EM) field at specific locations between NPs, which are called “hot
spots”.[8−10] There have been numerous attempts to design and produce
SERS-active structures by using morphology-controlled noble metal
nanostructures, such as nanotips, nanopores, and nanoscale-roughened
surfaces.[11−13] In particular, with respect to SERS, the EM field
can also be enhanced significantly via plasmonic coupling at the gaps
or junctions between metallic nanostructures.[14] However, the plasmonic coupling in these gaps is largely affected
by the interparticle distance, which, in turn, has a marked effect
on the SERS signal.[15] This can induce uncontrollable
irreproducibility in the SERS signal, which is a major barrier for
these SERS-active structures to be useful for practical applications.
Consequently, a high-precision nanometer scale or sub-nanometer scale
gap engineering for a large number of these nanostructures is a key
challenge for generating reproducible and reliable SERS signals from
these particles.[1,16,17]Among many plasmonic nanogap structures,[1] intra-nanogap structures with a nanometer-scale interior
gap are
highly promising as SERS substrates because of their uniformity and
controllability in nanogaps over a large number of particles, resulting
in strongly enhanced and tunable SERS signals. To form SERS-active
interior nanogap structures, various synthetic strategies have been
adopted.[18−20] In particular, it was shown that thiolated DNA on
AuNPs can facilitate the formation of a 1 nm interior gap during the
Au–Au core–shell formation process and generate Au nanobridged
nanogap particles (Au-NNPs) with a uniform 1 nm intragap in a high
yield and strong, stable, and reproducible SERS signals.[21,22] Other approaches in generating interior nanogap structures such
as silica(SiO2)-interlayered nanogap structures with Au
core and Au shell (Au nanomatryoshka) and polymer or small molecule-interlayered
plasmonic nanogap structures have been adopted to synthesize various
intra-nanogap structures.[18−20] All these structures, however,
still need to address many drawbacks and challenges such as complicated
synthetic complexity, time and cost, reaction conditions including
temperature, nanometer-level structural precision, limitation in large-scale
production, particle stability, versatility in structure and composition,
and lack of practical applications. It should be noted that the need
for an interlayer to form intra-nanogaps inside particles and laser
polarization-dependent changes in optical signals from intra-nanogap
particles largely limit understanding and controlling the plasmonic
properties of these nanostructures including electromagnetic field
intensity and distribution. Importantly, the use and advantageous
properties of these intra-nanogap particles for biomedical applications
have not been well explored nor clearly shown.Here, we present
a straightforward, facile and generally applicable
synthetic strategy for forming dealloyed intra-nanogap particles (DIPs)
with an interlayer-free intra-nanogap in a high yield via the selective-interdiffusive
dealloying (SID) process at room temperature, and it is shown that
these DIPs can generate strong, quantifiable laser polarization-independent
SERS signals (Figure A). Importantly, biologically functionalized DIPs can be used for
detecting DNA in a highly sensitive and quantitative manner and also
for targeting and imaging cancer cells for highly reliable, quantitative,
and long-term subcellular bioimaging applications. As the highly controllable
dealloying reaction progresses with the DIPs, a nanometer-sized interior
gap was formed on Au core surface via selective Ag-etching and interdiffusion
of Ag atoms (SID process), resulting in the formation of NPs with
a ∼2 nm interior gap in high yield (∼95%). It should
be noted that this SID process can spontaneously happen at room temperature
due to the nature of the corrosion process occurring in the presence
of etchants or oxidants even at the low temperature. Remarkably, the
interior nanogap was uniformly formed with randomly distributed metal
residues in a symmetric fashion, leading the polarization-independent
SERS signals from the Raman dyes in the interior gaps of these structures,
and the SERS signal intensity linearly increases as the particle concentration
increases, allowing for highly reliable, quantitative SERS. Remarkably,
all the particles (110 particles) displayed SERS enhancement factors
of ≥1.1 × 108 with a very narrow distribution
of EFs. Importantly, Au-gap-Au/Ag DIPs were modified with DNA for
DNA sensing applications, and the assay results show that these DNA-modified
DIPs generate highly quantitative and sensitive DNA detection results,
ranging from aM to pM target concentrations. Finally, these DIPs were
functionalized with cell-targeting peptides for cell imaging applications.
The results suggest that the peptide-modified DIPs can selectively
target integrin ανβ3 expression
cells and allow for in situ long-term (>30 min)
real-time
SERS imaging intracellular regions with low laser power and short
exposure time in a highly reliable, quantifiable manner.
Figure 1
Synthetic strategy
and characterization of dealloyed internanogap
particles. (A) Schematic illustration of the selective, interdiffusive
dealloying (SID)-based strategy for the synthesis of the Au–Ag
dealloyed intra-nanogap particles (DIPs) from Au/Au–Ag core/alloy
shell (CAS) NPs. The proposed mechanism of the SID reaction is shown
in the black dotted box. (B–J) TEM images, EDX elemental mapping
and EDX line scan profiles across the centers of NPs: (B–D)
CAS NPs, (E−G) DIPs, and (H–J) gap-less Au–Au
core–shell NPs. Ag atoms are primarily located near the Au
core in a CAS NP (the blue dotted boxes in panel D) and the number
of Ag atoms near the Au core decreases after the dealloying reaction
(the blue dotted boxes in panel G), resulting in the interior nanogap.
For gap-less AuNPs, an interior nanogap was not observed (the blue
dotted boxes in panel J). The EDX map of Ag in panel I shows noise-level
signals. The white scale bars are 50 nm. (K) Nanogap size, shell thickness,
and particle size distributions of DIPs (the HR-TEM images of 100
particles were analyzed). (L) TEM image of DIPs. (M) HR-TEM image
of a DIP. Here, d-spacing of 0.235 nm for adjacent
lattice fringes corresponds to (111) planes of a face-centered cubic
structure. The inset shows a ring-shaped SAED pattern of a DIP, indicating
there is a polycrystalline structure.
Synthetic strategy
and characterization of dealloyed internanogap
particles. (A) Schematic illustration of the selective, interdiffusive
dealloying (SID)-based strategy for the synthesis of the Au–Ag
dealloyed intra-nanogap particles (DIPs) from Au/Au–Ag core/alloy
shell (CAS) NPs. The proposed mechanism of the SID reaction is shown
in the black dotted box. (B–J) TEM images, EDX elemental mapping
and EDX line scan profiles across the centers of NPs: (B–D)
CAS NPs, (E−G) DIPs, and (H–J) gap-less Au–Au
core–shell NPs. Ag atoms are primarily located near the Au
core in a CAS NP (the blue dotted boxes in panel D) and the number
of Ag atoms near the Au core decreases after the dealloying reaction
(the blue dotted boxes in panel G), resulting in the interior nanogap.
For gap-less AuNPs, an interior nanogap was not observed (the blue
dotted boxes in panel J). The EDX map of Ag in panel I shows noise-level
signals. The white scale bars are 50 nm. (K) Nanogap size, shell thickness,
and particle size distributions of DIPs (the HR-TEM images of 100
particles were analyzed). (L) TEM image of DIPs. (M) HR-TEM image
of a DIP. Here, d-spacing of 0.235 nm for adjacent
lattice fringes corresponds to (111) planes of a face-centered cubic
structure. The inset shows a ring-shaped SAED pattern of a DIP, indicating
there is a polycrystalline structure.
Results and Discussion
Selective, Interdiffusive Dealloying-Based
Synthesis of Nanoparticles
with an Interlayer-Free Interior Nanogap
To synthesize the
DIPs with the SID process, we first formed Au/Au–Ag core/alloy
shell nanoparticles (CAS NPs) through a coreduction process involving
the simultaneous reduction of HAuCl4 and AgNO3 on 4-MPy-modified AuNPs (MPy-AuNPs) (Figure B). The average size of CAS NPs, as measured
from transmission electron microscopy (TEM) images, was ∼87.0
nm (Figure S1), while the atomic composition
of the shell region was estimated to be Au77.2Ag22.8 (Table S1). Interestingly, the reduced
Au and Ag atoms were not evenly distributed throughout the entire
shell region (Figure C and Figure S2A). An energy-dispersive
X-ray spectroscopy (EDX) line scan performed across the centers of
the CAS NPs showed that most of the Ag atoms were located near the
Au core, with the number of Au atoms decreasing near the Au core (Figure D, the blue dotted
box). In general, a higher standard reduction potential of the Au
precursor results in faster reduction as compared to the case for
the Ag precursor (AuCl4–/Au = 0.99 V
and Ag+/Ag = 0.8 V versus standard hydrogen electrode).[23] The strong affinity between Ag and the pyrrolidone
groups of polyvinylpyrrolidone (PVP) help increase the reduction rate
of the Ag precursor in the early stage,[24,25] which results
in the accumulation of Ag atoms at a faster rate near the Au core.
This result is in good agreement with previously reported results.[26] To examine this phenomenon in more detail, we
monitored the changes in the extinction peak of the CAS NPs during
the alloy shell formation process (Figure S3). In the early stage of the formation process, the extinction peak
exhibited a rapid blue shift, suggesting the formation of Ag layers.
As the reaction progressed, the extinction peak underwent a gradual
red shift, with the intensity of the peak increasing; this was indicative
of the formation of larger CAS NPs.Next, we introduced ferric
nitrate [Fe(NO3)3] into the CAS NPs to selectively
dissolve the Ag atoms (Figure A). It can be seen from Figure E that the Ag-etched CAS NPs have a nanogap present
between the core and the shell via the dealloying process. The average
size of the DIPs (∼87.2 nm) was similar to that of the CAS
NPs, with the interior nanogap and the shell size of the DIPs being
∼2.1 and 20.1 nm, respectively (Figure K). The EDX elemental maps of the DIPs confirm
that the Ag atoms near the Au core were almost completely etched away
(Figure F and Figure S2B), and the EDX line scan profile indicates
that the number of Ag atoms near the Au core dramatically decreased
after the dealloying reaction (Figure G, blue dotted box); the proportion of Ag atoms in
the shell region was lower as compared to that in the CAS NPs (Table S1). Furthermore, the Au-Lα curve
for the area near the Au core was valley-shaped, when the Ag-Lα
peak disappeared (Figure G, blue dotted box), confirming that the interior nanogap
is formed by the highly selective removal of Ag atoms near the Au
core. In contrast to the case for the DIPs, an interior nanogap was
not observed in the case of the gap-less Au/Au core/shell NPs (gap-less
AuNPs), whose shell was composed only of Au and not a Au–Ag
alloy (Figure H).
The average size of the gap-less AuNPs was also similar to that of
the CAS NPs (Figure S1), with the shell
being composed entirely of Au atoms (Figure I, Figure S2C and Table S1). Further, a valley-like Au-Lα plot was not observed
(Figure J, blue dotted
box), confirming that the NPs had a nanogap-less structure. When Fe(NO3)3 was introduced into the as-synthesized gap-less
AuNPs, there was no change in the morphology or the ultraviolet–visible
(UV–vis) and SERS spectra of the NPs, suggesting that the ferric
nitrate-based dealloying reaction only dissolves Ag (Figure S4). This synthesis strategy led to the fabrication
of DIPs in a yield of ∼95% (Figure L). The d-spacing of the
adjacent lattice fringes of the DIPs was 0.235 nm, and their selected-area
electron diffraction (SAED) was ring-like; the former corresponded
to the (111) planes of a face-centered cubic structure while the latter
was indicative of polycrystallinity (Figure M).To investigate the evolution of
the interior nanogap, we monitored
the structural changes as the CAS NPs transformed into DIPs through
the dealloying reaction while increasing the amount of Fe(NO3)3 added (Figure S5). The mechanism
proposed to explain the formation of the interior-nanogap structure
is shown below (Figure A, see the proposed mechanism in the black dotted box). Once the
Fe(NO3)3 solution is injected into the CAS NPs,
the Ag atoms near the shell surface start getting dissolved by the
Fe(NO3)3 (the gray line in a schematic of the
proposed mechanism), and Fe(NO3)3 penetrates
the CAS NPs through the Ag-etched sites. As the dealloying reaction
progresses, pinhole-like vacancies (the black dotted open circles
in the proposed mechanism) generated at the Ag-etched sites diffuse
inward (the blue lines in the proposed mechanism), while metal atoms
(mainly Ag atoms) diffuse outward because of the nanometer-scale Kirkendall
effect.[27] Because the diffusion of Ag in
Au is faster than that of Au in Ag in the case of the Au–Au
alloy system, the net flux of the metals (Au and Ag) is mainly dependent
on the diffusion rate of Ag; this results in a net flux of vacancies
from the shell surface to the Au core.[27] Thus, the diffused Ag atoms are continually removed by the Fe(NO3)3 (the gray dotted lines in the proposed mechanism).
Meanwhile, Au atoms diffuse to a smaller degree and interconnect with
each other to minimize their surface energy. As this reaction continues,
the accumulated vacancies near the Au core eventually result in the
formation of a nanogap, while the interconnected Au atoms form a dense
shell. In similarity to the proposed mechanism, the Ag atoms were
partially etched and formed an incomplete interior nanogap when a
small amount of Fe(NO3)3 (5 mM) was used. However,
the number of dissolved Ag atoms was higher (10 mM), and an interior
nanogap was uniformly formed when a large amount of Fe(NO3)3 was used (>15 mM) (Figure S5).Owing to the morphological differences between the structures
with
(DIPs) and without (CAS NPs and gap-less AuNPs) a nanogap, the UV–vis
spectra of these structures were also different (Figure A). Further, with formation
of the shell structure, the color of the particle solution changed
from pink (MPy-AuNPs) to dark pink (CAS NPs), then to blue-violet
(DIPs), and finally to red-violet (gap-less AuNPs), as shown in Figure A. Furthermore, the
extinction peaks of the NPs with the shell structure were red-shifted
compared to those of the shell-less NPs (λ = 528, 549, 554,
and 571 nm for the MPy-AuNPs, CAS NPs, DIPs, and gap-less AuNPs, respectively);
however, a new extinction shoulder peak was observed at ∼700
nm in the case of NPs with the interior nanogap (DIPs). To elucidate
the origin of this plasmonic peak from DIPs and study the optical
properties of the nanogap region, we performed a computational simulation
based on the Mie theory.[28] In our model,
metal residues exist and are randomly distributed in the intra-nanogap
region, and partially interconnect the core and the shell. The intra-nanogap
region was modeled as a mixture of metal residues and water, and the
effective dielectric function of the gap region was calculated using
the Smith’s approach that describes metallic behavior of mixtures
with low metallic volume fraction (see details in Supporting Information).[29] A new
extinction peak appears at a longer wavelength (∼950 nm) when
an interior nanogap, filled with water, is formed inside an NP (Figure S6).[20] When
the intra-nanogap region is filled with a mixture of metal residues
and water, however, the resonance peak was blue-shifted from a longer
wavelength region by changing the optical/physical state (e.g., effective
dielectric function) of the nanogap. In addition, the resonance peak
was continuously red-shifted as metal composition in the nanogap decreased
(Figure B). This trend
is well matched with changes in the UV–vis spectra of DIPs
for different degrees of the dealloying reaction (Figure S5). Since the degree of etching for each DIP in solution
should be slightly different, the broadened shoulder peak from the
experimental result can be explained by the superposition of UV–vis
spectra of DIPs with different metal compositions in the nanogap. Figure C shows the calculated
near-field EM field distribution of the DIP containing 12.5 mol %
of metal residues within the nanogap. Unlike the DIPs with a water-filled
intra-nanogap (Figure D), the DIPs with a metal residue-filled nanogap generated a highly
enhanced EM field, indicating that the metal residues within the interior
nanogap play an important role in EM field enhancement.
Figure 2
Experimental
UV–vis spectra of NPs and theoretical calculation
of DIPs. (A) UV–vis spectra of as-synthesized NPs. Inset: colors
of NP solutions. (B) Simulated extinction spectra of DIPs with varying
metal compositions within the interior nanogap. The interior-nanogap
region is filled with a mixture of metal residues and water in this
model. (C and D) Calculated electric near-field EM field distributions
of the DIPs containing different compositions of metal residues within
the interior nanogap [(C) 12.5 mol % and (D) 0 mol %]. The excitation
wavelength is 633 nm. Scale bar is 20 nm.
Experimental
UV–vis spectra of NPs and theoretical calculation
of DIPs. (A) UV–vis spectra of as-synthesized NPs. Inset: colors
of NP solutions. (B) Simulated extinction spectra of DIPs with varying
metal compositions within the interior nanogap. The interior-nanogap
region is filled with a mixture of metal residues and water in this
model. (C and D) Calculated electric near-field EM field distributions
of the DIPs containing different compositions of metal residues within
the interior nanogap [(C) 12.5 mol % and (D) 0 mol %]. The excitation
wavelength is 633 nm. Scale bar is 20 nm.
SERS Analysis of DIPs in Solution
Next, we compared
the solution-state SERS signals obtained from the as-synthesized NPs
with respect to the fingerprint peak at 1097 cm–1 (Figure A). As compared
to the SERS signal intensity of the shell-less Au NPs (MPy-AuNPs),
those of the CAS NPs, gap-less AuNPs, and DIPs, were ∼8.6,
7.7, and 50 times higher, respectively. In this case, Raman reporter
molecules (4-MPy) were positioned in the interior-nanogap region.
Both types of nanogap-less NPs (CAS NPs and gap-less AuNPs) showed
similar increases in the SERS intensity. Thus, it can be concluded
that it is the interior nanogap that ensures a highly enhanced SERS
signal and that the composition of the metallic phase has only a minor
effect on the SERS phenomenon. To examine the role of interior nanogap
on SERS enhancement further, we placed the Raman reporter molecules
(4-MPy) on the outmost shell surface instead of the Au core surface
(Figure B). Irrespective
of whether an interior nanogap was present or not, all similar-sized
NPs (CAS NPs, gap-less AuNPs, and DIPs) showed a similar SERS signal,
which was very weak. This result clearly suggests that the markedly
stronger SERS enhancement was primarily attributable to the greater
enhancement of the EM field in the interior nanogap.
Figure 3
Nanostructure, Raman-dye
position, particle concentration, and
time-dependent SERS properties of as-synthesized NPs in solution.
(A) SERS spectra of as-synthesized NPs in solution. Raman-dye molecules
(4-MPy) were attached to Au core surfaces. (B) Solution-based SERS
spectra of 4-MPy-modified NPs (all the dyes were modified to particle
surfaces). (C) Particle concentration-dependent changes in SERS signal
intensity with DIPs (500 fM to 50 pM; 1097 cm–1).
(D) Time-dependent Raman profiles of DIPs. All the spectra were acquired
using 633 nm excitation laser at laser power of 4 mW and acquisition
time of 10 s. Particle concentration was (A and B) 100 pM and (D)
20 pM.
Nanostructure, Raman-dye
position, particle concentration, and
time-dependent SERS properties of as-synthesized NPs in solution.
(A) SERS spectra of as-synthesized NPs in solution. Raman-dye molecules
(4-MPy) were attached to Au core surfaces. (B) Solution-based SERS
spectra of 4-MPy-modified NPs (all the dyes were modified to particle
surfaces). (C) Particle concentration-dependent changes in SERS signal
intensity with DIPs (500 fM to 50 pM; 1097 cm–1).
(D) Time-dependent Raman profiles of DIPs. All the spectra were acquired
using 633 nm excitation laser at laser power of 4 mW and acquisition
time of 10 s. Particle concentration was (A and B) 100 pM and (D)
20 pM.Owing to the highly enhanced EM
field and the uniformly confined
hot spots in the interior nanogap, the SERS signal of the solution
of the DIPs could be detected even at a very low concentration (500
fM), with there being a highly linear relationship (R2 = 0.99) between the NP concentration and the SERS signal
intensity (Figure C). In addition, we obtained stable SERS signals during time-course
measurements performed under continuous laser exposure (Figure D). These experimental results
indicate that the DIPs generated highly robust and sustainable SERS
signals because of the Raman molecules stably encapsulated within
highly SERS-active narrow interior nanogap. This property of the DIPs,
wherein they produce uniform and quantitatively reproducible SERS
signals with high sensitivity, can be exploited for biosensing/imaging.
In addition, the DIPs were highly responsive under excitation at a
wavelength of 785 nm (Figure S7); this
suggests that they should be suitable for use for in/ex vivo and in vitro SERS imaging
as well as photothermal therapeutic probes. On the other hand, the
DIPs did not generate a detectable signal under excitation at a wavelength
of 514 nm (Figure S7). Because the near-field
enhancement of the SERS effect is determined by the plasmonic excitation
mode near the resonance peak,[30] we believe
that the 514 nm laser, whose wavelength is much different from that
corresponding to the near-field resonance peak induced by the plasmonic
excitation mode of the interior nanogap, could not generate a sufficiently
strong EM field in the interior-nanogap region.
Single-Particle-Level
SERS Analysis on DIPs
To investigate
the optical properties of the DIPs in more detail, we performed an
analysis of the SERS spectrum of the DIPs at the single-particle level
using an atomic force microscopy (AFM)-correlated nano-Raman instrument
(Figure A). To acquire
the SERS spectra of the individual DIPs, we first accurately matched
the end of the AFM tip with the focal spot of the objective lens (see
details in Supporting Information). Then,
we simultaneously obtained the AFM topographical image and the Rayleigh
scattering image (Figure B) from the same particle. The representative tapping-mode
AFM image (10 × 10 μm2) indicated that the individual
DIPs were well dispersed and did not overlap in the laser exposure
focal spot (∼250 nm). Furthermore, high-magnification AFM images
confirmed the spherical shape of the DIPs, with their height profile
matching well with their overall size as determined from the TEM images
(Figure C). We measured
the SERS spectra of 110 individual DIPs and calculated the enhancement
factor (EF) values for the fingerprint peak at 1003 cm–1 (see details in Supporting Information).
Figure 4
AFM-correlated Raman spectroscopy-based single-particle mapping
analysis, SERS enhancement factor (EF) distribution, and polarization-resolved
SERS plot for DIPs. (A) Instrumental setup used for AFM-correlated
single-particle Raman spectroscopy. (B) Topographical matching of
AFM image (left) and Rayleigh scattering image (right) for DIPs. (C)
Magnified AFM image of a single DIP (left) and height profile across
the NP (right, the red line in the AFM image). (D) A distribution
of the SERS EF values at 1003 cm–1 as measured from
individual DIPs (110 particles were analyzed). The EF values show
a narrow distribution of large SERS EFs, range from 1.1 × 108 to 2.5 × 109 and 1.1 × 108 to 5.3 × 109 for 90.0% and 97.3% of particle populations,
respectively. All the analyzed particles displayed the EFs of 1.1
× 108 or larger. (E) Single-particle polarization-resolved
plot of the SERS intensity at 1097 cm–1 with respect
to rotation angle (θ). (F and G) The calculated polarization-resolved
plots of the EM field in the interior-nanogap region with respect
to a rotation angle for (F) DIP and (G) Au-NNP, respectively. The
theoretical calculations were performed using the finite element method
with COMSOL, and the maximal values of the EM field enhancement at
each rotation angle were plotted. The black arrows in panel G indicate
Au nanobridges.
AFM-correlated Raman spectroscopy-based single-particle mapping
analysis, SERS enhancement factor (EF) distribution, and polarization-resolved
SERS plot for DIPs. (A) Instrumental setup used for AFM-correlated
single-particle Raman spectroscopy. (B) Topographical matching of
AFM image (left) and Rayleigh scattering image (right) for DIPs. (C)
Magnified AFM image of a single DIP (left) and height profile across
the NP (right, the red line in the AFM image). (D) A distribution
of the SERS EF values at 1003 cm–1 as measured from
individual DIPs (110 particles were analyzed). The EF values show
a narrow distribution of large SERS EFs, range from 1.1 × 108 to 2.5 × 109 and 1.1 × 108 to 5.3 × 109 for 90.0% and 97.3% of particle populations,
respectively. All the analyzed particles displayed the EFs of 1.1
× 108 or larger. (E) Single-particle polarization-resolved
plot of the SERS intensity at 1097 cm–1 with respect
to rotation angle (θ). (F and G) The calculated polarization-resolved
plots of the EM field in the interior-nanogap region with respect
to a rotation angle for (F) DIP and (G) Au-NNP, respectively. The
theoretical calculations were performed using the finite element method
with COMSOL, and the maximal values of the EM field enhancement at
each rotation angle were plotted. The black arrows in panel G indicate
Au nanobridges.Figure D shows
the distribution diagram of the EF values of the individual DIPs (110
particles were measured). The individual NPs exhibited detectable
high-intensity SERS signals, and the EF values of the DIPs showed
a narrow distribution, ranging from 1.1 × 108 to 2.5
× 109 for 90.0% of the population. Further, the distribution
ranged from 1.1 × 108 to 5.3 × 109 for 97.3% of the population. Moreover, the EF values were as high
as 2.1 × 1010 in some of the cases. Overall, all the
particles generated the EFs of ≥1.1 × 108.
It is worth noting that the narrow distribution of the EF values arises
from the uniformly confined interior nanogap and the highly precise
synthesis of the targeted structure in a high yield. Thus, such structures
with a nanogap can be exploited for use as reproducible and reliable
SERS probes. It should be noted that the EF values of DIPs were conservatively
underestimated by assuming the maximum number of 4-MPy molecules were
uniformly packed on AuNP core surface (see details in Supporting Information). In addition, nonresonant
Raman dyes (4-MPy) with a small cross-section were used in our study.
The EF values of the DIPs are 2–3 orders of magnitude higher
than those with other nanostructures reported previously for the same
Raman dye molecule (4-MPy).[31−34] It is now widely accepted that an EF of 106 to 108 could be sufficient even for single-molecule detection.[16,21,35] In this respect, the as-synthesized
DIPs, which generated very strong SERS signals with high sensitivity,
are highly promising as SERS probes for use in various analytical
applications. Significantly, we investigated the incident-laser-polarization-dependent
SERS characteristics of the DIPs at the single-particle level (Figure E). In the case of
anisotropic or assembled nanostructures, the optical properties are
largely dependent on the geometric configuration and laser polarization
direction.[36−38] In contrast, the DIPs exhibited stable and uniform
SERS signals regardless of the polarization direction of the incident
laser, owing to the symmetrically distributed hot spots within the
interior nanogap. This polarization-independent property also makes
the DIPs suitable for use as highly reliable, quantitative analytical
probes. In the early stage of the synthesis of Au-NNPs with the nanobridges
that connect an Au core and an Au shell, the extinction spectrum shows
a new plasmonic resonance peak at ∼680 nm, which is caused
by the anisotropically branched budding structures on DNA-modified
Au cores.[21] On the other hand, a new extinction
peak was not observed during the synthesis of the CAS NPs (Figure S3). These suggest that the proposed coreduction
synthesis process results in the shell structures filled with a mixture
of Au and Ag atoms, and relatively large clusters such as Au branched
budding structures are not formed. This further suggests that, unlike
Au-NNPs, the interior nanogap of DIPs consists of randomly distributed
metal residues that can result in a symmetrically distributed EM field
within the interior nanogap (Figure F,G).
DNA Assays with DIPs
To test the
potential of DIPs
as SERS sensing bioprobes, we performed SERS-based ultrasensitive
DNA detection assays using the NPs. In order to efficiently capture
and separate target DNA, we used DNA-modified magnetic microparticles
(DNA-MMPs) and DIP Raman probes (DIP probes) to detect the target
DNA strands (hepatitis A virus DNA; HAV DNA), based on a typical sandwich-hybridization
assay (Figure A, see
details in Supporting Information). To
confirm the formation of the sandwich hybridization complexes (target-captured
DIP probe-MMP complexes) and its ability to undergo target-DNA-specific
hybridization, we performed hybridization assays with complementary
(HAV) and noncomplementary (HBV) DNA sequences (Figure B,C). In the presence of the complementary
DNA, the solution turned colorless when an external magnetic field
was applied to it, indicating the formation of the sandwich hybridization
complexes (Figure B inset). In the presence of the noncomplementary DNA, however, the
solution remained with the color even after the MMPs were collected
with a magnet, meaning that the DIP probes were not captured by the
DNA-MMPs (Figure C
inset). Moreover, the formation of the sandwich hybridization complexes
could be seen clearly in the scanning electron microscopy (SEM) images
(Figure B,C). These
results indicate that the proposed DNA detection method with DIPs
is suitable for use in DNA detection assays. Figure D shows the changes in the SERS intensity
at 1003 cm–1 for varying concentrations of target
DNA (HAV) solutions (10 aM to 1 pM, black squares). The SERS intensity
quantitatively decreases with a decrease in the concentration of the
target DNA over a wide range. On the other hand, with the intensity
of the SERS signal was very low during control experiments in which
the target DNA was replaced with noncomplementary DNA (HBV) strands
(1 pM, red circular dot). The limit of detection (LOD) was approximatively
10–100 aM, which is ∼10 to 1000-fold higher sensitivity
than the DNA detection results with other nanostructures and methods.[17,39−42] In terms of synthetic yield, structural precision, SERS EF distribution,
and SERS signal stability and reproducibility, DIPs generated superior
results over other SERS structures, resulting in highly sensitive
and quantitative DNA detection. These results further confirm that
the plasmonic DIPs fabricated with the SID process can be used as
ultrasensitive DNA sensing probes in target-selective, ultrasensitive,
and quantitative analytical SERS probes.
Figure 5
SERS-based ultrasensitive
DNA detection assay using DNA-functionalized
DIPs. (A) Schematic illustration of SERS-based ultrasensitive DNA
detection assay with DNA-modified DIP nanoprobes that sandwich-capture
target DNA with DNA-modified magnetic microparticles. (B and C) SEM
images of target-DNA-specific sandwich hybridization complexes (target-captured
DIP probe-MMP complexes) formed using different linker DNA [(B) complementary
sequence DNA (HAV); (C) noncomplementary sequence DNA (HBV)]. Inset
images: color of assay solution under external magnetic field after
DNA sandwich hybridization. Scale bars are 500 nm. (D) SERS-based
DNA detection assay results with DNA-modified DIPs (SERS intensities
at 1003 cm–1 were measured for different DNA concentrations
of HAV (10 aM to 1 pM) and HBV (1 pM). Inset: Change in SERS spectra
obtained using different concentrations of target DNA. All the spectra
were obtained using 785 nm excitation laser at laser power of 2 mW
and acquisition time of 5 s. SERS intensities were obtained and averaged
with consecutive accumulation of five measurements for each concentration.
SERS-based ultrasensitive
DNA detection assay using DNA-functionalized
DIPs. (A) Schematic illustration of SERS-based ultrasensitive DNA
detection assay with DNA-modified DIP nanoprobes that sandwich-capture
target DNA with DNA-modified magnetic microparticles. (B and C) SEM
images of target-DNA-specific sandwich hybridization complexes (target-captured
DIP probe-MMP complexes) formed using different linker DNA [(B) complementary
sequence DNA (HAV); (C) noncomplementary sequence DNA (HBV)]. Inset
images: color of assay solution under external magnetic field after
DNA sandwich hybridization. Scale bars are 500 nm. (D) SERS-based
DNA detection assay results with DNA-modified DIPs (SERS intensities
at 1003 cm–1 were measured for different DNA concentrations
of HAV (10 aM to 1 pM) and HBV (1 pM). Inset: Change in SERS spectra
obtained using different concentrations of target DNA. All the spectra
were obtained using 785 nm excitation laser at laser power of 2 mW
and acquisition time of 5 s. SERS intensities were obtained and averaged
with consecutive accumulation of five measurements for each concentration.
Targeted Cell Imaging with
DIPs
Lastly, we performed
SERS-based target-specific cell imaging using surface-functionalized
DIPs (Figure A). To
evaluate the integrin-targeting specificity of the DIPs, cyclo(Arg-Gly-Asp-d-Phe-Lys) (c(RGDyK), hereafter denoted as cRGD) peptide, which
specifically binds to integrin ανβ3 (overexpressed in metastatic and endothelial tumor cells),
was attached onto the surfaces of the DIPs. Next, we introduced cRGD-functionalized
DIPs into different cell lines, namely, U87MG (high integrin ανβ3 expression) and MCF-7 (integrin
ανβ3 negative) (see details
in Supporting Information). Owing to the
high expression of integrin ανβ3 in the U87MG cells and its preferential binding affinity with respect
to cRGD peptide, strong SERS signals were clearly observed in the
integrin-ανβ3-positive U87MG
cells, confirming the target-specific binding and SERS imaging capabilities
of the cRGD-functionalized DIPs (Figure B,D). On the other hand, a SERS signal was
barely detected in the case of the integrin-ανβ3-negative MCF-7 cells, confirming that the cRGD-functionalized
DIPs showed good target selectivity for SERS-based cell imaging (Figure C,D). Importantly,
the cRGD-functionalized DIPs generated uniform SERS signals steadily
when they were continuously exposed by a laser for a long period (Figure E). DIPs produced
more reliable, stronger SERS signals for cell imaging than AuNPs with
a similar size (Figure F,G and Figure S8). It is worth noting
that SERS-based cell imaging could be performed with a low-power laser
(400 μW) and short exposure time (1 s for each pixel) with DIPs,
which are critical in minimizing cell and tissue damage and stably
imaging cells for a long-term.
Figure 6
SERS-based integrin ανβ3-specific cell
imaging using peptide-functionalized
DIPs. (A) Schematic illustration of SERS-based target-specific cell
imaging with cRGD-modified DIP nanoprobes. (B and C) Bright-field
microscopy images (left) and SERS maps (right) of U87MG cells (B,
high integrin ανβ3 expression)
and MCF-7 cells (C, integrin ανβ3 negative) incubated with cRGD-functionalized DIPs. Scale
bar is 10 μm. SERS intensity at each mapping pixel (2 μm
× 2 μm) was integrated for SERS spectra ranging from 983
cm–1 to 1023 cm–1 indicated by
the shaded region in Figure 6D and color-scaled for cell imaging.
All the spectra were obtained using 785 nm excitation laser at 4 mW
power and with acquisition time of 1 s. (D) The SERS spectra obtained
from the numerically marked positions in Figure 6B and 6C. (E) Time-dependent
Raman profiles of cRGD-functionalized DIPs in a cell measured within
the red box in panel B. (F and G) SERS maps of U87MG cells incubated
with cRGD-functionalized (F) DIPs and (G, average particle diameter
of 80 nm) AuNPs, respectively. Scale bar is 10 μm. The SERS
intensity at each mapping pixel (2 μm × 2 μm) was
integrated for the SERS spectra ranging from 983 cm–1 to 1023 cm–1 and color-scaled for cell imaging.
All the spectra were obtained using 633 nm excitation laser at 400
μW and with acquisition time of 1 s.
SERS-based integrin ανβ3-specific cell
imaging using peptide-functionalized
DIPs. (A) Schematic illustration of SERS-based target-specific cell
imaging with cRGD-modified DIP nanoprobes. (B and C) Bright-field
microscopy images (left) and SERS maps (right) of U87MG cells (B,
high integrin ανβ3 expression)
and MCF-7 cells (C, integrin ανβ3 negative) incubated with cRGD-functionalized DIPs. Scale
bar is 10 μm. SERS intensity at each mapping pixel (2 μm
× 2 μm) was integrated for SERS spectra ranging from 983
cm–1 to 1023 cm–1 indicated by
the shaded region in Figure 6D and color-scaled for cell imaging.
All the spectra were obtained using 785 nm excitation laser at 4 mW
power and with acquisition time of 1 s. (D) The SERS spectra obtained
from the numerically marked positions in Figure 6B and 6C. (E) Time-dependent
Raman profiles of cRGD-functionalized DIPs in a cell measured within
the red box in panel B. (F and G) SERS maps of U87MG cells incubated
with cRGD-functionalized (F) DIPs and (G, average particle diameter
of 80 nm) AuNPs, respectively. Scale bar is 10 μm. The SERS
intensity at each mapping pixel (2 μm × 2 μm) was
integrated for the SERS spectra ranging from 983 cm–1 to 1023 cm–1 and color-scaled for cell imaging.
All the spectra were obtained using 633 nm excitation laser at 400
μW and with acquisition time of 1 s.
Conclusions
We developed a selective, interdiffusive
dealloying-based facile
synthetic strategy for forming highly SERS-active Au–Ag NPs
(DIPs) containing a uniformly confined interior nanogap in a high
yield (∼95%). This strategy is a very simple, cheap, and efficient
one for fabricating interlayer-free interior nanogap particles without
using modulating interlayer materials, such as DNA, polymer, or silica
shell. It was confirmed that the interior nanogap, as small as ∼2
nm, was formed by selective Ag-etching and interdiffusion of Ag atoms
from the Au–Ag alloy shell (SID process). It should be noted
that metal residues were randomly distributed inside the gap. The
NPs with the interior nanogap showed a highly enhanced SERS signal
as compared to those of the shell-less or nanogap-less NPs with a
similar size, owing to the strong EM field generated in the interior
nanogap by strong plasmonic coupling between the core and the shell.
Furthermore, the DIPs emitted robust, stable, and quantitatively reproducible
SERS signals and exhibited a highly enhanced and narrowly distributed
EFs, ranging from 1.1 × 108 to 5.3 × 109 for 97.3% of the particle population. Significantly, all the analyzed
particles displayed the EFs of ≥1.1 × 108.
We developed an ultrasensitive DNA detection assay with DIPs for 10
aM to 1 pM target concentrations that were clearly discernible with
the SERS signals from DNA-modified DIPs. It was also shown the cRGD-functionalized
DIPs can efficiently target integrin-overexpressed cells and generate
uniform SERS signals steadily when they were continuously exposed
by a laser for a long period. DIPs facilitated SERS cell imaging with
a low-power laser (400 μW) and short exposure time (1 s for
each pixel), and these allow for minimizing cell and tissue damages
and stably imaging cells for a long-term (>30 min). Our synthetic
strategy with the SID process offers new revenues in forming plasmonic
nanostructures with a nanogap or strong plasmonic coupling without
a need for an interlayer between two nanostructures (e.g., core and
shell). DIPs show potential as strong, controllable, and quantitative
SERS probes with a narrow distribution of high EFs without the dependence
of a laser polarization direction, and can address the long-standing
issues in SERS signal reproducibility, reliability, and quantification
capability. Finally, DNA detection and cell imaging results with biofunctionalized
DIP probes validate and provide the opportunities in utilizing SERS
probes in sensitive, selective biosensing, bioimaging, and theranostic
applications with a high reliability.[1,6,21,43−45]
Authors: Li Lin; Mario Zapata; Min Xiong; Zhonghui Liu; Shanshan Wang; Hong Xu; Andrei G Borisov; Hongchen Gu; Peter Nordlander; Javier Aizpurua; Jian Ye Journal: Nano Lett Date: 2015-09-21 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