Accurate and quick sensing of various biomolecules relevant to different health conditions is indispensable in modern diagnosis and treatment procedures. Different multilayer metallic surface plasmon resonance (SPR) biosensor configurations comprising Au, Ag, Al, and Cu are analyzed in this work by employing an N-layer matrix formalism as applied to the fixed-angle spectral SPR sensing methodology. Stringent standards for sensitivity, detection accuracy, and figure of merit (FOM) of the sensor configurations are set to analyze the relative merits of one configuration over another. It is observed that three- and four-layer configurations using Al and Cu provide the best FOM among all sensors that passed the set standard criteria. The highest FOM (1433.82/RIU) is observed for the four-layer Al/Cu/Al/Cu sensor for an analyte refractive index of 1.408. The sensors are best suited for detecting analytes with a refractive index range of 1.350-1.414.
Accurate and quick sensing of various biomolecules relevant to different health conditions is indispensable in modern diagnosis and treatment procedures. Different multilayer metallic surface plasmon resonance (SPR) biosensor configurations comprising Au, Ag, Al, and Cu are analyzed in this work by employing an N-layer matrix formalism as applied to the fixed-angle spectral SPR sensing methodology. Stringent standards for sensitivity, detection accuracy, and figure of merit (FOM) of the sensor configurations are set to analyze the relative merits of one configuration over another. It is observed that three- and four-layer configurations using Al and Cu provide the best FOM among all sensors that passed the set standard criteria. The highest FOM (1433.82/RIU) is observed for the four-layer Al/Cu/Al/Cu sensor for an analyte refractive index of 1.408. The sensors are best suited for detecting analytes with a refractive index range of 1.350-1.414.
Biomedical
instrumentation is fast emerging as an integral part
of modern diagnosis and treatment procedures. Proper analysis of body
fluids, tissues, and exhaled air can provide clear information on
various illnesses and guide early detection of diseases. For instance,
biosensing of blood can yield information on hemoglobin content,[1] antibodies,[2] and blood
glucose concentration, among others.[3,4] Similarly,
an analysis of the refractive index of the cornea can give indications
of various corneal diseases like cataract and glaucoma.[5] Exhaled air of human beings contains many volatile
organic compounds (VOCs) formed as a result of complex biochemical
processes within the human body. Analysis of the VOCs can provide
early indications of various diseases and health conditions.[6−11]Different types of sensors are available for sensing VOCs.
Sensors
based on the principle of surface plasmon resonance (SPR) have proved
to provide quick and accurate sensing of physical, chemical, and biochemical
parameters.[12−15] Consider a metal placed in contact with a dielectric. Here, p-polarized
electromagnetic waves resulting from collective oscillations of the
conducting electron cloud will propagate through the interface. This
wave is called the surface plasmon wave (SPW). When the propagation
constant of the incident photons of a p-polarized light becomes equal
to that of the SPW, a portion of the light gets absorbed, resulting
in surface plasmon resonance.[16] Even minute
changes in the refractive index (RI) of the metal–air interface
largely affect the SPR. Adsorption of external materials such as biomaterials
and VOCs on the surface of the metal will alter the RI of the interface,
and hence the change in the RI of the outer ambience of the metal
can be judged from the change in SPR absorption spectra. To harness
the advantages of optical fibers in biosensing applications, we have
modeled various fiber-optic SPR sensor configurations. These fiber-optic
SPR sensors enable compactness, ease of sensing, flexibility, and
reliability for noninvasive and invasive sensing and biosensing.[17−19] Usually, in fiber-optic sensing probes, a small portion of the cladding
is removed, and the conducting layer(s) enabling SPR sensing are coated
on this portion. The sensor makes use of the Kretschmann configuration
with the spectral SPR method. When white light is launched on one
end of this fiber-optic sensor, above the critical angle, the light
propagates to the other end by total internal reflection (TIR). During
the TIR, a part of the light penetrates into the low-refractive-index
thin metal layers as exponentially decaying evanescent waves, which
couple with the surface plasmon waves at the metal–dielectric
(analyte) interface, at the resonance condition. Hence, a part of
the energy of the incident white light is transferred to the surface
plasmons at the resonance condition, corresponding to which a dip
in the transmitted light is observed. This waveform is the SPR curve.SPR sensors with a single metallic layer have been modeled, realized,
and reported. Usually, Au and Ag are employed as the metal since they
contain a substantial amount of charge carriers. Furthermore, Au and
Ag are found to be suitable for sensing operation in the visible region
of the spectrum.[20] The quality parameters
sensitivity (S), detection accuracy (DA), and figure of merit (FOM)
are defined as follows:The sharpness of the SPR curve
determines
the accuracy of detecting the resonant wavelength. The larger the
spectral width, the lower is the accuracy. The detection accuracy
facilitates easy interpretation of the accuracy in detecting the resonance
wavelength and also the analysis of the relevant graphs.Even
though Au-based sensors offer a massive shift in the resonance
wavelength with the change in RI (in other words high sensitivity),
the detection accuracy is low. On the other hand, Ag can provide better
accuracy due to its narrow spectral width, but the sensitivity is
low.[16] Moreover, Ag is chemically not stable,
as it oxidizes on exposure to air. Studies also confirmed that Cu
and Al could be used for designing SPR-based sensors, although they
too oxidize.[16,21] Studies have shown that although
single-layer metallic sensors provide a sensitivity up to a maximum
of 3500 nm/RIU, the trade-off between sensitivity and DA indicates
that single-layer metallic SPR sensors possess many disadvantages.[16] Specific sensing applications demand sensors
having a high figure of merit. Studies on sensors with metallic multilayers
have been reported to yield some positive results.[16,22−25] Sensors with multilayers of different metals combine the features
of each metal, and this undoubtedly reflects in parameters like the
position and shift of the resonant wavelength as well as the spectral
width and depth of the SPR curve. This opens new options for designing
fiber-optic biosensors. Thus, in our work, we analyze the pertinent
properties of SPR-based fiber-optic biosensors based on a spectral
method, employing two, three, and four layers of metals.[26] The metals selected are Au, Ag, Al, and Cu.
Theoretical modeling is done with Matlab. Unless otherwise specified,
all sensor properties are analyzed for an analyte refractive index
(RIanalyte) of 1.36, corresponding to ethanol, which is
one of the significant VOCs.Many different types of SPR sensors
with different materials as
sensing layers have already been proposed. Hybrid nanostructured SPR
sensors utilizing 2D materials have attracted attention with advantages
for specific sensing applications. They are usually costly and it
is very difficult to ensure the accurate and precise thickness of
the layers of the sensor with these materials during sensor fabrication
and requires highly sophisticated equipment. The proposed sensing
probe utilizes only metals, which are comparatively cheaper (except
gold). Further, controlled deposition of these metals to achieve a
precise thickness of sensing layers can be easily realized with thermal,
e-beam evaporation, or sputtering. Thus, these sensors possess the
advantages that they are simple to realize and are cost-effective.
Metallic multilayer SPR sensors have the main advantage that they
combine the features of the constituent metals and can be utilized
for a wide range of sensing applications. Many of the configurations
in the proposed metallic multilayer sensors offer sensing features
that are comparable to or even higher than that of the reported hybrid
nanostructured SPR sensors.
Theoretical Modeling
In the modeled SPR sensor, the cladding is removed for a length
of about 15 mm from a plastic-clad silica (PCS) fiber with a core
diameter of 0.6 mm and a numerical aperture of 0.24. With the PCS
fiber, the plastic cladding can be removed easily with selective etchants,
leaving the silica core surface suitable for further fabrication of
subsequent metal layers. The literature also shows that fiber-optic
SPR sensors for different applications are modeled and successfully
implemented with PCS fibers.[12,14,16,20] This cladding-removed portion
is uniformly covered with thin layers of metals. The proposed sensing
probe is illustrated in Figure . A beam of collimated white light falling on one face of
the fiber at a suitable angle is transmitted to the other end of the
fiber, albeit with a reduced intensity if conditions for SPR absorption
are met. Hence, the normalized transmitted intensity recorded at this
end of the fiber gives ample information regarding the resonance wavelength
(λres) and the spectral width and depth of the SPR
curve. For minute changes in RIanalyte, a good SPR sensor
shows a detectable change in λres. From this data,
the sensitivity, DA, and FOM of the sensors are arrived at and compared
to identify the optimal sensor configuration, which should aid the
device engineer.
Figure 1
Schematic of the proposed metallic multilayer biosensor
probe.
Schematic of the proposed metallic multilayer biosensor
probe.The nature and thickness of the
metal layers of the sensor and
RIanalyte will affect the shape, spectral width, and depth
of the SPR curve. These parameters are critical to accurate sensing.
The spectral width, which is very crucial in deciding the accuracy
of sensing, is usually calculated corresponding to the full-width
at half-maximum (FWHM) of the SPR curve.[27] However, this poses a problem (illustrated in Figure ), which shows three kinds of SPR curves
normally encountered in real sensing applications. While curve A is
very shallow (which affects the accurate determination of λres and hence the sensitivity) and broader (which makes DA
very low), curve B may be considered ideal. Curve C, on the other
hand, is ambiguous because the tail end of the dip is missing, which
makes finding the FWHM practically impossible. Hence, in this work,
the spectral width is calculated at a height corresponding to 0.1
unit above the tip of the SPR dip.[28] Stringent
standards are set for the suitability of any sensor configurations
in practical sensing applications: (a) only those SPR curves whose
spectral width measurement is possible at the height of at least 0.1
unit above the tip of the curve is considered in our work, (b) the
sensitivity (which is the ratio of change in λres corresponding to a unit change of RIanalyte) should be
greater than 3000 nm/RIU,[16,28] (c) the DA of the sensor
must be greater than 0.03 nm–1, and (d) it is also
set that the λres be in the visible range of the
spectrum between 250 and 700 nm.
Figure 2
Typical SPR curves. Curve B is an acceptable
SPR curve showing
a well-defined absorption dip due to surface plasmons. Curve A is
very shallow, while curve C shows a wider absorption dip. The curves
illustrate the variation in the shape of the SPR curves, depending
on parameters such as the thickness and type of the conducting layer(s)
and RIanalyte.
Typical SPR curves. Curve B is an acceptable
SPR curve showing
a well-defined absorption dip due to surface plasmons. Curve A is
very shallow, while curve C shows a wider absorption dip. The curves
illustrate the variation in the shape of the SPR curves, depending
on parameters such as the thickness and type of the conducting layer(s)
and RIanalyte.The spectral SPR method has been adopted, and hence due consideration
of the wavelength dependence of the different materials constituting
various layers of the sensing probe is essential. The refractive index
dependence of the silica core of the PCS fiber on wavelength is calculated
as defined by the Sellmeier relation:[29]where λ is the wavelength in μm
and A1, A2, A3, B1, B2, and B3 are Sellmeier
coefficients with values of A1 = 0.6961663, A2 = 0.4079426, A3 = 0.8974794, B1 = 0.0684043, B2 = 0.1162414, and B3 = 9.896161.The Drude dispersion model quantifies the wavelength
dependence
of the dielectric constant of the metals with the relation[16]where
λp and λc are the plasma and collision
wavelengths of the metal, respectively,
εmr and εmi are the real and imaginary
values of the dielectric constant of the metals, respectively, and
ε∞ the dielectric constant at very high frequencies
approaches unity. The values of λp and λc for Au (Au), Ag (Ag), Cu (Cu), and Al (Al) are furnished
in Table .[30,31]
Table 1
Plasma and Collision Wavelength of
Metals
metal
λp (m)
λc (m)
Cu
1.3617 × 10–7
4.0852 × 10–5
Ag
1.4541 × 10–7
1.7614 × 10–5
Al
1.0657 × 10–7
2.4511 × 10–5
Au
1.6826 × 10–7
8.9342 × 10–6
For an SPR-based
sensor, the normalized transmitted power through
the fiber measured at one end due to a white light source fed at the
other end can be expressed as[32]where RP is the
net reflection coefficient of the ray incident at the core metal interface.
θcr denotes the critical angle of the fiber, n2 is the refractive index of the cladding of
the fiber, and Nref(θ) is the number
of reflections the ray launched at an angle θ undergoes inside
the fiber core and is given by Nref(θ)
= L/D tan θ,
where L is the length of the sensing probe and D is the diameter of the fiber core.In this work,
the sensing probes considered are multilayered structures,
and hence an N-layer matrix method[33] has been utilized to determine the value of RP accurately. Accordingly, the characteristic matrix for
an N-layer structure can be expressed aswithandwhere ε, n, μ, and d are the dielectric constant,
refractive index, permeability, and thickness of the kth layer, respectively. The reflection coefficient rp of the incident wave through the N-layered structure is given byThe resonance condition for excitation of
the surface plasmon wave is given by[16]where λ, θ, εm, n1, and ns are the wavelength of the incident light, angle of incidence of
the incident light, dielectric constant of the metal layer, refractive
index of the fiber core, and refractive index of the sensing layer,
respectively.The different configurations modeled in this work
can be classified
as single-layer, two-layer, three-layer, and four-layer configurations.
In multilayer configurations, the coupling of the electromagnetic
field of the incident light with the propagation constant of the surface
plasmon waves at the outer metal–insulator (analyte) interface
depends strongly on the plasma frequency and damping constant of the
outer metal as well as the coupling of the electromagnetic field with
the mobile charges of the various metal layers. Hence, in two-, three-,
and four-layer configurations, the order of metals and the relative
thickness of the layers are important. Therefore, for clarity, the
convention of A/B/C/D is used throughout, wherein A denotes the innermost and D the outermost metal
layer. In addition, a quantity called layer fraction given by LFA = dAi/(dAi + dAo) is defined, where dAi and dAo are the
thickness of the inner and outer layers of metal A, respectively, for a three- or four-layer configuration involving
two layers of metal A.
Results
and Discussion
The typical normalized transmitted power obtained
as a function
of wavelength is shown in Figure a. Evidently, for a given configuration, as RIanalyte changes, the SPR absorption varies, which allows determination
of sensitivity, DA, and FOM of that configuration.
Figure 3
(a) Typical variation
of normalized transmitted power as a function
of wavelength for a sensor configuration at different values of RIanalyte. (b) Sensitivity and DA for sensors with different
thicknesses of single metal layers for RIanalyte = 1.361.
(a) Typical variation
of normalized transmitted power as a function
of wavelength for a sensor configuration at different values of RIanalyte. (b) Sensitivity and DA for sensors with different
thicknesses of single metal layers for RIanalyte = 1.361.
Single- and Two-Layer Metallic Sensors
Analysis of the performance of single metal layer SPR sensors shows
that as the thickness of the metal layer increases, sensitivity increases
and saturates. A thickness of 60 nm is found to yield optimal values
for both sensitivity and DA, as plotted in Figure b. Furthermore, increasing the thickness
beyond 60 nm yields no marked improvement in sensitivity and DA. Hence,
the total thickness of the metal layers has been fixed to be 60 nm
throughout the study.Bimetallic combinations of fiber-optic
SPR sensors have been found to yield better sensing than those with
a single layer of metal.[16,21,22] All possible configurations such as A/B and B/A were modeled by varying
dA/(dA + dB), where
dA and dB are the thickness of layers A and B, respectively, keeping dA + dB = 60 nm. As an illustration, the
sensitivity and detection accuracy as a function of the ratio of inner
layer thickness to the total bimetallic thickness for the better-performing
configurations (a) Cu/Ag and Ag/Cu and (b) Cu/Al and Al/Cu are plotted
in Figure a,b, respectively.
Although the sensitivity is observed to be lower than 4000 nm/RIU
for all bimetallic configurations, the DA is exceptionally good.
Figure 4
(a) Sensitivity
and detection accuracy as a function of the ratio
of inner layer thickness to total bimetallic thickness for sensor
configurations Cu/Ag and Ag/Cu, and (b) sensitivity and detection
accuracy as a function of the ratio of inner layer thickness to total
bimetallic thickness for bilayer sensors Cu/Al and Al/Cu.
(a) Sensitivity
and detection accuracy as a function of the ratio
of inner layer thickness to total bimetallic thickness for sensor
configurations Cu/Ag and Ag/Cu, and (b) sensitivity and detection
accuracy as a function of the ratio of inner layer thickness to total
bimetallic thickness for bilayer sensors Cu/Al and Al/Cu.
Three-Layer Metallic Sensors
The
performance of SPR sensors made of three-layer metallic configurations
of the type A/B/A is analyzed below. The data obtained for only the better-performing
configurations, viz., Au/Ag/Au, Ag/Au/Ag, Au/Cu/Au, Cu/Au/Cu, Cu/Al/Cu,
and Al/Cu/Al are considered and are shown in Figure . The impact of the variations in layer thickness
in the sensor on its performance on sensitivity and the spectral width
is analyzed for different layer fractions (LFA) and different
thicknesses of the middle layer (dB) and is depicted
in Figure .
Figure 5
Sensitivity
and DA as a function of inner layer fraction for three-layer
sensor configurations: (a) Au/Ag/Au, (b) Ag/Au/Ag, (c) Al/Cu/Al, (d)
Cu/Al/Cu, (e) Au/Cu/Au, and (f) Cu/Au/Cu. All curves were obtained
by keeping the total thickness of metal layers at 60 nm and RIanalyte = 1.361.
Sensitivity
and DA as a function of inner layer fraction for three-layer
sensor configurations: (a) Au/Ag/Au, (b) Ag/Au/Ag, (c) Al/Cu/Al, (d)
Cu/Al/Cu, (e) Au/Cu/Au, and (f) Cu/Au/Cu. All curves were obtained
by keeping the total thickness of metal layers at 60 nm and RIanalyte = 1.361.A quick perusal of Figure reveals the influence
of the choice of metals and their layer
fractions on the sensitivity and DA of the sensors. For a fixed dB, with an increase in LFA, sensitivity is found
to decrease for Au/Ag/Au (Figure a), whereas it increases for Ag/Au/Ag (Figure b). The opposite is true for
DA. When the thickness of the middle layer is varied, the sensitivity
remains almost constant at lower LFA values. However, for
higher LFA values, with a decrease in the thickness of
the middle layer, the sensitivity is found to increase slightly for
Au/Ag/Au and decrease slightly for Ag/Au/Ag. For RIanalyte = 1.361, Au/Ag/Au yielded a maximum sensitivity of 4500 nm/RIU for
LFA values less than 0.15 irrespective of the thickness
of the middle layer, whereas Ag/Au/Ag yielded a maximum sensitivity
of 3800 nm/RIU for an LFA of 0.8 and middle layer thickness
of 30 nm. The resonant wavelength was well in the visible range around
570–700 nm in both these sensor configurations. The λres decreased in Au/Ag/Au and it increased in Ag/Au/Ag with
an increase in LFA for fixed values of middle layer thickness.
Similarly, with an increase in middle layer thickness, λres and spectral width increased in Au/Ag/Au and decreased
in Ag/Au/Ag. For the same values of LFA and middle layer
thickness, the sensitivity, λres, and DA of Au/Ag/Au
were lower compared to those of Ag/Au/Ag.Figure c,d depicts
the variations of sensitivity and DA with LFA and dB for Al/Cu/Al and Cu/Al/Cu, respectively. For fixed values
of dB, the sensitivity is found to decrease in Cu/Al/Cu
and increase in Al/Cu/Al with the increase in LFA. An exact
opposite trend is observed for DA. Moreover, the sensitivity remained
almost constant in both Cu/Al/Cu and Al/Cu/Al for lower LFA values, irrespective of dB. However, for higher
LFA, the sensitivity is found to increase slightly in Cu/Al/Cu
and decrease slightly in Al/Cu/Al with a decrease in dB. The λres in both the combinations are well in
the visible range from about 410 to 560 nm, with Al/Cu/Al having a
comparatively lower λres. Cu/Al/Cu is calculated
to have a higher sensitivity of 3500 nm/RIU with a lower LFA compared to Al/Cu/Al, which offered a maximum sensitivity of 3050
nm/RIU with a higher value of LFA. The DA remained in an
impressive range of 0.140–0.210 nm–1 in both
the configurations. The Cu/Al/Cu configuration with the middle Al
layer of about 10 nm thickness and the Al/Cu/Al with the middle Cu
layer of about 30 nm yielded better performance. However, the Al/Cu/Al
configuration with dB = 10 nm did not yield acceptable
sensitivity for any LFA.The variations of sensitivity
and spectral width with LFA and dB for
Au/Cu/Au and Cu/Au/Cu, respectively,
are depicted in Figure e,f. Irrespective of dB, a decrease in sensitivity,
spectral width, and λres for Au/Cu/Au and an increase
of the same for Cu/Au/Cu are noticed with an increase in LFA. However, with a decrease in dB, the sensitivity,
spectral width, and λres are observed to increase
in Au/Cu/Au, whereas it decreased in Cu/Au/Cu. The λres in both the configurations are well in the visible range from about
500 to 700 nm. Au/Cu/Au is found to offer a higher sensitivity with
a maximum of 4550 nm/RIU at an LFA < 0.2 and the middle
Cu layer thickness of about 10 nm. Similarly, Cu/Au/Cu offered a maximum
sensitivity of 4050 nm/RIU for an LFA > 0.82 and middle
Au layer thickness of about 30 nm. Apart from the above details, the
following results (graphs not shown) are also confirmed with the different
three-layer sensor configurations discussed above and are furnished
in Table .
Table 2
Sensing Range and Sensitivity Corresponding
to the Maximum Possible Value of RIanalyte for the Better-Performing
Three-Layer Sensor Configurations
configuration
sensing
range
highest sensitivity (nm/RIU)
Au/Ag/Au
1.340–1.374
5400
Ag/Au/Ag
1.342–1.386
6000
Cu/Al/Cu
1.352–1.400
9250
Al/Cu/Al
1.360–1.410
11 750
Au/Cu/Au
1.340–1.380
5800
Cu/Au/Cu
1.344–1.390
6950
Furthermore, asymmetric three-layer configurations with different
metals on the three layers are also investigated (graphs not shown).
All of the combinations yielded a sensitivity greater than 3000 nm/RIU
at an RIanalyte value of 1.36. The sensitivity and FOM
corresponding to an RIanalyte value of 1.361 for the different
three-layer sensor configurations are furnished in Table S1. Although the combinations of Al/Cu/Au, Al/Ag/Au,
Ag/Al/Au, and Ag/Cu/Au yielded the highest sensitivity of 4500 nm/RIU,
the low value of detection accuracy resulted in a very low value of
FOM. However, the Au/Al/Cu, which offered a sensitivity of 3500 nm/RIU
at an RIanalyte value of 1.361, is observed to yield the
highest FOM value of 461 RIU.For RIanalyte = 1.361,
the combination with Au as the
inner and outer layers and Ag or Cu as the middle layer offers a higher
sensitivity of around 4500 nm/RIU but with a larger spectral width.
The Cu/Au/Cu configuration also yields a better sensitivity and sharpness
but is chemically less stable. Calculations with a higher RIanalyte on Ag/Au/Ag, Cu/Al/Cu, Al/Cu/Al, and Cu/Au/Cu configurations yielded
a higher sensitivity than that of the Au/Cu/Au configuration. However,
the outer layers of Al, Cu, and Ag are usually chemically more reactive
unless kept in inert ambient or vacuum. With its inherent properties,
Au is much more resistant to chemical reactions. Hence, the choice
among three-layer metallic sensors considered in this work must be
made depending on the conditions prevailing for applications.
Four-Layer Metallic Sensors
The performance
of SPR sensors made of four-layer metallic configurations of the type A/B/A/B is analyzed below. The data obtained for only the better-performing
configurations, viz., Cu/Ag/Cu/Ag, Ag/Cu/Ag/Cu, Cu/Al/Cu/Al, and Al/Cu/Al/Cu
are considered and are shown in Figure . Figure a depicts the variation of sensitivity and DA with LFCu for the sensor configuration Cu/Ag/Cu/Ag, for different fixed LFAg, with a thickness ratio of Cu/Ag = 1:1. The corresponding
curves for the thickness ratio of Cu/Ag = 2:1 is shown in Figure b. Similarly, Figure c,d represents the
variation of sensitivity and DA when the order of metals is reversed.
For a thickness ratio of 1:1, sensitivity increases slightly with
an increase in LFCu for any fixed LFAg, while
it decreases with an increase in LFAg. However, DA shows
the opposite trend; λres is in the range of 548.3–576
nm. For Ag/Cu/Ag/Cu, with a thickness ratio of 1:1, the sensitivity
is again found to increase with the increase in LFCu but
remained almost constant with variation in LFAg. DA shows
a decrease with an increase in LFCu and a decrease in LFAg; λres ranges from 534 to 561 nm.
Figure 6
Sensitivity
and DA as a function of layer fraction LFA for the configuration A/B/A/B, for different LFB with
dA/dB = 1, when (a) A is Cu and B is Ag, (c) A is Ag
and B is Cu, (e) A is Cu and B is Al, and (g) A is Al and B is Cu. The corresponding curves when dA/dB = 2 are shown in (b), (d), (f), and (h), respectively.
All curves were obtained by keeping dA + dB = 60 nm and RIanalyte = 1.361.
Sensitivity
and DA as a function of layer fraction LFA for the configuration A/B/A/B, for different LFB with
dA/dB = 1, when (a) A is Cu and B is Ag, (c) A is Ag
and B is Cu, (e) A is Cu and B is Al, and (g) A is Al and B is Cu. The corresponding curves when dA/dB = 2 are shown in (b), (d), (f), and (h), respectively.
All curves were obtained by keeping dA + dB = 60 nm and RIanalyte = 1.361.For a thickness ratio of Cu/Ag = 2:1, with the configuration
Cu/Ag/Cu/Ag,
the sensitivity remains constant for varying LFCu, at fixed
LFAg. However, the sensitivity is found to decrease with
an increase in LFAg. λres varies inversely
with LFAg and directly with an increase in LFCu and lies in the range 547–571 nm. The spectral width varies
between 8.3 and 11.4 nm. In Ag/Cu/Ag/Cu, the sensitivity remains constant
for varying LFAg and fixed LFCu. However, the
sensitivity increases slightly with an increase in LFCu. λres decreases with an increase in LFAg and increases with an increase in LFCu and is in the
range 538–562 nm. The calculated spectral width is about 7–10
nm. For the same values of the total thickness, LFCu, and
RIanalyte, the Cu/Ag/Cu/Ag structure offers a higher sensitivity
than the Ag/Cu/Ag/Cu structure. A maximum sensitivity of 3500 and
3400 nm/RIU is observed with Cu/Ag/Cu/Ag and Ag/Cu/Ag/Cu, for the
thickness ratios Cu/Ag = 1:1 and 2:1, respectively.Figure e depicts
the variation of sensitivity and DA with LFCu for the sensor
configuration Cu/Al/Cu/Al, for different fixed LFAl, with
a thickness ratio of Cu/Al = 1:1. The corresponding curves for the
thickness ratio of Cu/Al = 2:1 are shown in Figure f. Similarly, Figure g,h represents the variation of sensitivity
and DA when the order of metals is reversed. For a thickness ratio
of 1:1, with Cu/Al/Cu/Al, the sensitivity remains constant for varying
LFCu at a lower LFAl, whereas it decreases slightly
with an increase in LFCu for higher LFAl. Moreover,
it is observed that the sensitivity increases with an increase in
LFAl. The λres decreases slightly with
an increase in LFCu and increases with an increase in LFAl and is in the range 404–471 nm. The spectral width
is very narrow and ranges from 4 to 5.2 nm. With Al/Cu/Al/Cu, the
sensitivity almost remains constant for varying LFAl at
fixed LFCu, except for the high LFCu, where
sensitivity increases with an increase in LFAl. Furthermore,
the sensitivity is found to decrease with an increase in LFCu. The λres increases with an increase in LFAl and decreases with an increase in LFCu. λres ranges from 454.8 to 530 nm.With the thickness ratio
of 2:1, Cu/Al/Cu/Al exhibits nearly a
constant sensitivity for varying LFCu at lower LFAl, and it shows a slight decrease with an increase in LFCu for higher LFAl. Furthermore, it shows an increase in
sensitivity with an increase in LFAl. The observed spectral
width is around 5.5 nm. The λres varies from 416
to 475 nm. Moreover, λres is observed to decrease
with an increase in LFCu and increase with an increase
in LFAl. For Al/Cu/Al/Cu, upon varying LFAl,
the sensitivity remains almost constant for lower LFCu.
However, for higher LFCu, the sensitivity increases with
an increase in LFAl. Moreover, with an increase in LFCu, the sensitivity is found to decrease. The spectral width
is found to be around 4.5 nm. The λres ranges from
452 to 515 nm. It increases with an increase in LFAl and
decreases with an increase in LFCu. For similar LF, total
thickness, and refractive index, Al/Cu/Al/Cu is found to yield a higher
sensitivity than Cu/Al/Cu/Al. It is observed that the Cu/Al/Cu/Al
configuration does not yield an acceptable sensitivity at ns = 1.361. A maximum sensitivity of 3200 nm/RIU
is calculated with Al/Cu/Al/Cu.For ns = 1.361, the Cu/Au/Cu/Au and
Ag/Au/Ag/Au configurations yield a higher sensitivity of 4050 nm/RIU.
However, for a higher RIanalyte, the Cu/Al/Cu/Al configuration
is found to yield a higher sensitivity of 11 550 nm/RIU. Since
the outer layer is Al and is highly reactive, this configuration is
not perfect for biosensing applications. Similar is the case of sensors
with Cu as the outer layer. However, most real applications of SPR
sensors involve keeping the probe region in inert ambient or vacuum
and introducing the analyte gases and liquids through regulated flow
cells. In such controlled environments, the sensors with Al and Cu
top layers can be the top choice. Otherwise, the sensors with Au as
the outer layer may be considered. Among such sensors, the four-layer
configuration of Cu/Au/Cu/Au is the best choice with a sensitivity
of 6050 nm/RIU, DA of 51.81 nm–1, and FOM of 336.11/RIU.
Moreover, for the same set of parameters, Cu/Ag/Cu/Ag offers a narrow
range in resonance wavelength (548–576 nm). The results (graphs
not included) as furnished in Table are also confirmed with the different four-layer configurations.
Table 3
Sensing Range and Sensitivity Corresponding
to the Maximum Possible Value of RIanalyte for the Better-Performing
Four-Layer Sensor Configurations
configuration
sensing
range (nm)
maximum sensitivity (nm/RIU)
Au/Ag/Au/Ag
1.35–1.384
5850
Ag/Au/Ag/Au
1.344–1.378
5300
Cu/Al/Cu/Al
1.365–1.414
11 550
Al/Cu/Al/Cu
1.359–1.408
9750
Au/Cu/Au/Cu
1.35–1.392
6750
Cu/Au/Cu/Au
1.344–1.386
6050
Cu/Ag/Cu/Ag
1.354–1.390
6450
Ag/Cu/Ag/Cu
1.354–1.394
7050
Al/Ag/Al/Ag
1.357–1.39
6550
Ag/Al/Ag/Al
1.36–1.405
8200
Au/Al/Au/Al
1.36–1.396
7250
Al/Au/Al/Au
1.353–1.372
4850
Asymmetric four-layer combinations with different metals were also
investigated (graphs not shown). All of the combinations except Au/Cu/Ag/Al,
Cu/Au/Ag/Al, and Ag/Au/Cu/Al yielded a sensitivity greater than 3000
nm/RIU at an RIanalyte value of 1.36. The sensitivity and
FOM corresponding to an RIanalyte value of 1.36 for the
different four-layer sensor configurations are furnished in Table S2. Although the combinations of Al/Cu/Ag/Au
and Cu/Al/Ag/Au offered a higher sensitivity of 3900 and 3800 nm/RIU,
respectively, the DA was very low. Au/Ag/Al/Cu is observed to have
a higher FOM value of 596.15/RIU among the combinations. Another combination
of Ag/Au/Al/Cu offered an FOM value of 554.55/RIU.For any sensor
configuration, the sensitivity, DA, and hence FOM
vary with RIanalyte. Figure a,b shows the variations of sensitivity and DA with
RIanalyte for the better-performing three- and four-layer
configurations analyzed in this work. An increase in sensitivity and
decrease in DA are observed with an increase in RIanalyte for any given configuration. The figures serve as a guideline in
choosing a particular configuration for practical applications. In Figure c, the variation
of FOM with RIanalyte is plotted for a single metal layer.
For low values of RIanalyte, Cu is better suited, while
for higher RIanalyte, Al is a better choice. Sensors made
of Au or Ag show a linear response of FOM with RIanalyte. The FOM values of the best sensors in single and multilayer configurations
satisfying all of the stringently set criteria are plotted in Figure d. Evidently, the
four-layer configuration of Al/Cu/Al/Cu is superior compared to other
structures, especially at high RIanalyte. Table summarizes the performance
details of all of the best configurations in single and multilayer
sensors analyzed in the present study.
Figure 7
Sensitivity and detection
accuracy as a function of RIanalyte for the better-performing
sensors among (a) three-layer and (b)
four-layer configurations. The calculated FOM as a function of RIanalyte for (c) single metal layers and (d) best-performing
metallic multilayer sensor configurations from this work.
Table 4
Sensitivity, DA, and FOM of the Best-Performing
Single and Multilayer Metallic Sensor Configurations from This Work
configuration
metal 1
metal 2
metal 3
metal 4
sensitivity at RIanalyte = 1.361 (nm/RIU)
DA (nm–1) at RIanalyte = 1.361
FOM at RIanalyte = 1.361
highest acceptable
sensitivity (nm/RIU), at (RIanalyte)
DA (nm–1) at maximum
possible
sensitivity
highest FOM
single-layer
Cu
3500
0.12195
426.83
6750 at (1.388)
0.07751
523.26
two-layer
Al
Cu
3200
0.17857
571.42
6900 at (1.394)
0.09804
676.47
three-layer
Al
Cu
Al
3050
0.18519
564.81
11 750 at (1.410)
0.08475
995.76
four-layer
Al
Cu
Al
Cu
3200
0.21277
680.85
9750 at (1.408)
0.14706
1433.82
Sensitivity and detection
accuracy as a function of RIanalyte for the better-performing
sensors among (a) three-layer and (b)
four-layer configurations. The calculated FOM as a function of RIanalyte for (c) single metal layers and (d) best-performing
metallic multilayer sensor configurations from this work.
Conclusions
In our present work, the sensing characteristics of three- and
four-layer metallic fiber-optic SPR sensors are analyzed based on
their sensitivity, DA, and operating range. It has already been established
in previously reported works that single metallic structures suffer
from many disadvantages and that bimetallic combinations can rectify
these disadvantages to a great extent. The proposed three- and four-layer
metallic sensing probes work effectively for RIanalyte in
the range 1.34–1.414. Maximum sensitivities of 11 750
and 11 550 nm/RIU are observed with Al/Cu/Al and Cu/Al/Cu/Al,
respectively. These sensors also have a higher FOM of 995.76/RIU and
1241.94/RIU, respectively. Al/Cu/Al/Cu yielded a maximum sensitivity
of 9750 nm/RIU and an FOM of 1433.82/RIU. Considering the unique chemical
properties of Au and calculated sensitivities, Au/Cu/Au and Cu/Au/Cu/Au
can be generally considered as a good choice for biosensors. However,
the choice of the configuration should be made carefully depending
on the nature of the analyte and the sensing surroundings. The present
work is based on theoretical modeling, and hence the chance of slight
changes in the observed results when a physical model is implemented
should not be ignored. The sensing probe is best suited for the biosensing
of volatile organic compounds like ethanol and acetone.
Authors: Pietro R Galassetti; Brian Novak; Dan Nemet; Christie Rose-Gottron; Dan M Cooper; Simone Meinardi; Robert Newcomb; Frank Zaldivar; Donald R Blake Journal: Diabetes Technol Ther Date: 2005-02 Impact factor: 6.118
Authors: Daniel Wrapp; Nianshuang Wang; Kizzmekia S Corbett; Jory A Goldsmith; Ching-Lin Hsieh; Olubukola Abiona; Barney S Graham; Jason S McLellan Journal: Science Date: 2020-02-19 Impact factor: 47.728