C-reactive protein (CRP), an acute-phase protein synthesized in the liver in response to inflammation, is one of the biomarkers used for the detection of several diseases. Sepsis and cardiovascular diseases are two of the most important diseases for which detection of CRP at very early stages in the clinical range can help avert serious consequences. Here, a CNT-based nanobiosensing system, which is portable and reproducible, is used for label-free, online detection of CRP. The system consists of an aptameric CNT-based field-effect transistor benefiting from a buried gate geometry with Al2O3 as a high dielectric layer and can reflect the pro-cytokine concentration. Test results show that the device responds to CRP changes within 8 min, with a limit of detection as low as 150 pM (0.017 mg L-1). The device was found to have a linear behavior in the range of 0.43-42.86 nM (0.05-5 mg L-1). The selectivity of the device was tested with TNF-α, IL-6, and BSA, to which the nanosensing system showed no significant response compared with CRP. The device showed good stability for 14 days and was completely reproducible during this period. These findings indicate that the proposed portable system is a potential candidate for CRP measurements in the clinical range.
C-reactive protein (CRP), an acute-phase protein synthesized in the liver in response to inflammation, is one of the biomarkers used for the detection of several diseases. Sepsis and cardiovascular diseases are two of the most important diseases for which detection of CRP at very early stages in the clinical range can help avert serious consequences. Here, a CNT-based nanobiosensing system, which is portable and reproducible, is used for label-free, online detection of CRP. The system consists of an aptameric CNT-based field-effect transistor benefiting from a buried gate geometry with Al2O3 as a high dielectric layer and can reflect the pro-cytokine concentration. Test results show that the device responds to CRP changes within 8 min, with a limit of detection as low as 150 pM (0.017 mg L-1). The device was found to have a linear behavior in the range of 0.43-42.86 nM (0.05-5 mg L-1). The selectivity of the device was tested with TNF-α, IL-6, and BSA, to which the nanosensing system showed no significant response compared with CRP. The device showed good stability for 14 days and was completely reproducible during this period. These findings indicate that the proposed portable system is a potential candidate for CRP measurements in the clinical range.
C-reactive protein
(CRP) is an acute phase protein produced by
the liver in response to inflammation or in the cases of cardiovascular
diseases.[1−4] The levels of CRP corresponding to inflammation indicate that a
concentration of 2 mg L–1 or less is among the normal
concentrations, while in the case of inflammation, the levels can
rise up to 1000-fold.[5] The reported concentrations
in septic patients range from 12 to 159 mg L–1,
which exhibits a significant overlap with the 13–119 mg L–1 range in systemic inflammatory response syndrome
patients.[6,7] The concentrations in the case of cardiovascular
diseases are rather classified differently and fall into three categories.
A concentration of less than 1 mg L–1 is considered
to be normal, the low-risk group lies between 1 and 3 mg L–1, and concentrations higher than 3 mg L–1 are considered
to be of high risk.[8,9] Since CRP aids in the phagocytosis
of bacteria, its levels augment late during the onset of sepsis.[10] Thus, early diagnosis in conjunction with appropriate
treatment can help avert the serious and sometimes deadly consequences.
It should be noted that CRP is not considered as a specific biomarker;
however, it provides useful information to the health practitioner
as to whether inflammation or cardiovascular disease is present.[11] For example, a CRP concentration of >8.7
mg
dL–1 and a temperature of more than 38.2 °C
were associated with infection with sensitivities of 93.4 and 54.8%
and specificities of 86.1 and 88.9%, respectively.[12] Currently, CRP analysis is done by assays of turbidimetry,
nephelometry, and enzyme-linked immunoassay, with the latter being
considered as the gold standard for this diagnosis.[13−15] These assays
also have disadvantages of being expensive, time-consuming, not sensitive
enough, and being prone to false results.[16,17] The disadvantages of these techniques continue since they need skilled
personnel and sophisticated equipment and therefore cannot be performed
in remote areas.[18] The quantification methods
reported to date are surface plasmon resonance and surface-enhanced
Raman scattering,[19,20] microfluidic devices,[21] quartz crystal microbalance technology,[22−25] electrochemistry,[26−28] and field-effect transistor (FET)-based biosensors.[29−31] Among these techniques, electrochemistry and FET-based devices have
shown the good features of inexpensiveness, flexibility, sensitivity,
and rapidness in terms of producing results. The use of gold nanorods
in conjunction with antibody receptors accounted for a limit of detection
of 10 fM in the paper published by Letchumanan et al.[17] Vilian et al. used an electron-mediated electrochemical
device for the fast detection of CRP, which works in a linear range
of 5–220 fg mL–1.[2] In another study, a CRP electrochemical biosensor consisting of
an eight Ag ion-intercalated multifunctional DNA four-way junction
(MF-DNA-4WJ) and a porous rhodium nanoparticle (pRhNP) heterolayer
on a microgap electrode was fabricated by Kim et al.,[32] which was able to detect a concentration as low as 0.349
pM.It has not been until recently that the FET-based biosensors
(aka.
BioFETs) have been recognized as fast, infallible, compact, power-efficient,
and extremely sensitive. The use of BioFETs in the biosensor industry
has also addressed a rather important issue caused by the introduction
of labels to the target molecules since it provides label-free detection
of biomolecules. For example, there has been numerous reports of high-electron-mobility
transistor (HEMT)-type FET sensors for chemical and biological applications.[33−35] Kim et al.[36] developed an extended gate
FET-based biosensor for the detection of streptavidin–biotin
protein complexes. Tans et al.[37] have reported
the use of carbon nanotubes (CNTs) as channels in CNTFETs. Owing to
their special geometry and high surface to volume ratio, CNTs have
become a good candidate to be used in highly sensitive nanobiosensors.
The use of CNT-based FETs (CNTFETs) in biosensing has been the center
of attention for their high sensitivity and selectivity, no need for
labeling, real-time sample measurements, rapidness, flexibility, and
the low cost of fabrication. The conductance of these devices changes
by the charge transfer from the molecules absorbed onto their surfaces.[38−40] In these sensing platforms, the CNT surface is functionalized with
bioreceptors capable of attaching to the biomolecule of interest.
When the target molecule binds to the bioreceptor in a solution, the
charges of the target molecule in the solution affect the conductance
of the CNTFET and hence enable the detection. In the presence of a
buffer in the solution, a double layer is formed in the range of Debye
length around the CNTs.[41,42] The target–receptor
complex should fit in the double layer to enable the charge transfers
to the CNTs. When a charged biomolecule is absorbed on the surface
of the CNTFET channel, a reduction in the source–drain current
is seen. Since the diameter of biomolecules is much bigger than the
diameter of the CNT channels, we expect them to have high sensitivity
for the detection of biomolecules.Detection of proteins with
antibodies is very common. However,
the high cost of antibodies, their large size, and low stability have
led recent research into using alternatives.[43] Aptamers, artificial oligonucleotides, have gained attention due
to their low cost and high stability, and their relatively small size
enables detection in the double-layer range.[41,44,45] The good reproducibility seen in the aptasensors
is due to their well-established chemical synthesis routes.[46] The binding affinity to target molecules is
almost the same as that of antibodies, hence they are often called
chemical antibodies.[47−49] The use of nanostructured gate electrodes and shortness
of aptamers help overcome the adverse effects of Debye screening in
physiological solutions.[30] Therefore, protein–aptamer
reactions happen in the electrical double layer. The small size of
aptamers also contributes to their immobilization at a higher density,
which would mean a higher sensitivity in detection.[50]To address the issues impeding the cost effectiveness,
sensitivity,
and fast detection of CRP and in continuation of our research, especially
in the field of biosensors,[51−54] we hereby report a sensitive multiwalled CNTFET (MWCNTFET)
sensor, that is small enough and can be easily categorized as a portable
device and using aptamers as capture probes for convenient online
detection of CRP. The system consists of an aptameric MWCNTFET-based
biosensor and a 3D-printed well, mounted on the sensing area for better
liquid handling (Figure a–c).
Figure 1
(a) Schematic of the aptameric MWCNTFET biosensor. The
device benefits
from a buried gate geometry for the detection of CRP. (b) Schematic
of the FET-based nanobiosensor. The 3D-printed well is mounted on
the sensing area, making liquid handling easier. The source, drain,
and gate electrodes are connected to the power supplier with a copper
wire. (c) Photograph of a MWCNTFET nanosensor before the immobilization
of MWCNTs. The buried gate geometry is covered with a 40 nm thick
layer of Al2O3 (in gray) acting as a high-κ
dielectric. A titanium/gold contact is seen and labeled as G, which
is connected to the power supply through a copper wire. The MWCNTs’
conducting channel connects the drain and source electrodes, and the
gate electrode which has the same constituents as the drain and source
is buried under a 40 nm thick layer of Al2O3.
(a) Schematic of the aptameric MWCNTFET biosensor. The
device benefits
from a buried gate geometry for the detection of CRP. (b) Schematic
of the FET-based nanobiosensor. The 3D-printed well is mounted on
the sensing area, making liquid handling easier. The source, drain,
and gate electrodes are connected to the power supplier with a copper
wire. (c) Photograph of a MWCNTFET nanosensor before the immobilization
of MWCNTs. The buried gate geometry is covered with a 40 nm thick
layer of Al2O3 (in gray) acting as a high-κ
dielectric. A titanium/gold contact is seen and labeled as G, which
is connected to the power supply through a copper wire. The MWCNTs’
conducting channel connects the drain and source electrodes, and the
gate electrode which has the same constituents as the drain and source
is buried under a 40 nm thick layer of Al2O3.
Experimental and Methods
Chemicals and Materials
MWCNTs functionalized with
carboxyl groups were purchased from Sigma-Aldrich (Munich, Germany).
285 nm SiO2/Si was ordered from Wafer World (West Palm
Beach, FL, US). Human CRP was purchased from Sigma-Aldrich (Munich,
Germany). Phosphate-buffered saline (PBS) was purchased from Sigma-Aldrich
(Munich, Germany). (3-Aminopropyl)triethoxysilane (APTES) was purchased
from Sigma-Aldrich (Munich, Germany). Ethanolamine was purchased from
Sigma-Aldrich (Munich, Germany). 1-Ethyl-3-(3-dimethylaminopropyl)
carbodiimide (EDC) was purchased from Sigma-Aldrich (Munich, Germany). N-Hydroxysuccinimide (NHS) was purchased from Sigma-Aldrich
(Munich, Germany). The CRP-specific DNA aptamer 5′-NH2-ACACGATGGGGGGGTATGATTTGATGTGGTTGTTGCATGATCGTGG-3′) was synthesized
and purified by the BIO-RP purification method. Ethanol amine was
purchased from Sigma-Aldrich (Munich, Germany).
Nanosensor
Fabrication
The 285 nm SiO2/Si
was cleaned successively by acetone, isopropanol, and deionized water.
Then, SiO2/Si was dried and treated with plasma prior to
being employed as the substrate of our sensor. The buried gate electrode
was forged by the bilayer lift-off photolithography process. The process
used two layers of a resist, a sacrificial layer and a photoresist,
which were spin-coated using a spin coater. The gate electrode consisting
of a Ti/Au structure (50 nm/120 nm) was marked out on the SiO2/Si substrate using standard photolithography, and the metal
deposition was done by the physical vapor deposition technique. A
40 nm thick nanolayer of Al2O3 was put on top
of our gate electrode as the high-κ dielectric. We then repeated
the process of photolithography to fabricate the source and drain
electrodes, which were also made out of Ti/Au (50 nm/120 nm) on top
of the Al2O3 surface. Following the Sputter
deposition of the metals, the nanosensor was exposed to oxygen plasma
again to remove the remaining residues. Then, N2 was used
to remove any possible dust on the surface of the nanosensor. APTES
(5% v/v) was dropped on the surface of the nanosensor and then spin-coated
using the spin coater to produce a unified layer on the whole surface.
After that, the nanosensor was put into an oven for 20 min at 80 °C
in order to activate APTES. The whole purpose of APTES is to activate
the surface with amine groups. Figure a shows the FTIR spectra after APTES treatment. Carboxylated
MWCNTs (0.05 g) were ultrasonicated in a prepared solution of ethanol,
NHS (400 mM), and EDC (20 mM) to get them dispersed to their full
extent while activating the carboxyl groups on the MWCNTs as well. Figure S2 shows a schematic step-by-step process
of the device fabrication. The FTIR spectra of MWCNT COOH functionalized
groups are shown in Figure a. The aforementioned MWCNTs were dropped on the nanosensor
using a sampler and then were let to rest and form covalent bonds
for 2 h at room temperature.
Figure 2
(a) FTIR spectra of the APTES-functionalized
surface of Al2O3 (orange line). APTES introduces
amine groups
on the surface. FTIR spectra of COOH-functionalized MWCNTs (green
line). ATR-FTIR spectra of immobilized MWCNTs on the APTES-functionalized
surface of alumina (blue line). (b) EDX spectra of MWCNTs before and
after aptamer immobilization. A sharp increase in the intensities
of P and N is seen. (c) Drain–source current as a function
of drain–source voltage. (d) Drain–source current plotted
against a range of Vg at Vds = 0.2 V. (e) FESEM image of MWCNTs after aptamer immobilization.
The diameter of the MWCNTs increased after aptamer immobilization;
(inset) FESEM image of the MWCNTs (Figure S3d,e).
(a) FTIR spectra of the APTES-functionalized
surface of Al2O3 (orange line). APTES introduces
amine groups
on the surface. FTIR spectra of COOH-functionalized MWCNTs (green
line). ATR-FTIR spectra of immobilized MWCNTs on the APTES-functionalized
surface of alumina (blue line). (b) EDX spectra of MWCNTs before and
after aptamer immobilization. A sharp increase in the intensities
of P and N is seen. (c) Drain–source current as a function
of drain–source voltage. (d) Drain–source current plotted
against a range of Vg at Vds = 0.2 V. (e) FESEM image of MWCNTs after aptamer immobilization.
The diameter of the MWCNTs increased after aptamer immobilization;
(inset) FESEM image of the MWCNTs (Figure S3d,e).
Biochemical Functionalization
To immobilize the aptamers
on the MWCNTs, the nanosensor was incubated with 3 μM aptamer
solution overnight at room temperature. After rinsing with 1×
PBS, 100 mM of ethanolamine was added to the surface of the nanosensor
for 90 min to block the excess remaining functional groups on the
MWCNT surface. To address the liquid handling problem, a 3D-printed
well was carefully placed on the sensing area of our nanosensor.
Preparation of CRP Samples
Buffer dilution reduces
the ionic strength of the solution and hence increases the Debye length.[30] Here, we used 1× PBS to dilute our CRP
samples and create a dilution series of interest. A dilution range
of 0.43–171.43 nM (0.05–20 mg/L) of the protein was
prepared. The samples were let to rest overnight and were used the
day after. The storage temperature for this step was 4 °C.
Liquid Handling
While testing, a volume of 10 μL
CRP at various concentrations is added to and removed from the 3D-printed
well using a sampler. No need for rinsing after the removal of the
solution was recognized.
Results and Discussion
Working Principle of the
Nanobiosensor
A 40 nm thick
layer of Al2O3 that works as a high dielectric
layer with ε = 11.54 was grown on the gate electrode to insulate
it from the MWCNTs. A drain current Ids through the MWCNTs is generated by a drain–source voltage Vds, powered by Rigol (DP821). An external gate
voltage Vg was applied at its optimal
value, where both the sensor’s sensitivity and MWCNT conductivity
reached their maximum potentials. The changes of drain–source
current Ids were recorded until reaching
equilibrium in 8 min. The FET-based biosensor either behaves in a
linear region for quantitative analysis or in a subthreshold way for
higher sensitivity. The drain current reduces after the immobilization
of the ssDNA aptamer due to the interfacial dipole between nucleobases
and MWCNTs in addition to π–π stacking. Density
functional theory calculations indicate that the physisorption of
DNA induces an interfacial dipole between nucleobases and MWCNTs in
addition to π–π staking.[55] The dipole is the direct result of electron-rich aromatic rings’
closure to the polarized MWCNT surface and is responsible for the
mobility and density decrease of the electron carriers in the channel.[56,57] The current decrease is due to the depletion of negative charge
carriers induced by the aptamer-CRP binding interaction. A schematic
of the sensing principle is seen in Figure S1. As can be seen, the aptamers are in an unfolded state in the fresh
buffer. Upon introduction of CRP to the environment, the aptamers
attach to CRP and become folded, bringing CRP to the vicinity of MWCNTs’
surface. The negatively charged protein induces positive charges in
the MWCNTs, which leads to an increase in the number of free electron
carriers in the MWCNTs and hence a change in the drain current.
Characterization
To assure the successful functionalization,
several characterization steps were adopted. ATR–FTIR (Thermo
Nicolet Avatar 380) spectra of the Al2O3 surface
showed the presence of amine groups, which indicates the successful
functionalization of the dielectric layer with APTES (Figure a). As shown in the spectra,
O–H stretching and N–H stretching are seen at 3400 cm–1. The wavenumbers 2920 and 2850 cm–1 indicate the existence of asymmetrical/symmetrical stretching in
CH2, respectively. A strong N–H vibrational bending
due to the presence of amino groups is seen at 1630 cm–1. 950–1000 cm–1 peaks are responsible for
C–N and Si–O functional groups and confirm the presence
of amine groups.[58] FTIR analysis was also
performed on carboxylated MWCNTs to confirm the existence of the carboxyl
groups (Figure a).
An intensive band at 3421 cm–1 due to stretching
vibrations of isolated surface −OH moieties or −OH in
carboxyl groups is seen. Asymmetric methyl stretching and asymmetric/symmetric
methylene stretching bands at 2960, 2923, and 2853 cm–1 are shown. The C=O bands that are characteristics of carboxyl
functional groups are observed at 1732 and 1630 cm–1. Observed at 1380 cm–1 is the band responsible
for the presence of vibrational bending of C–H. Vibrational
stretching of C–O can be seen at 1069 cm–1.[59] ATR–FTIR analysis was performed
on the MWCNTs immobilized on the surface of APTES-functionalized alumina
to confirm the bonding of carboxy groups on MWCNTs with amine groups
of APTES to form an amide bond (Figure a). The formation of amide bonds was seen due to the
disappearing peaks of OH and NH at 3300–3600 cm–1. The alkyl chain of APTES was seen at 2960 cm–1. The formation of CON bonds between MWCNT-COOH and APTES was seen
at 1700 cm–1. Carbonyl functional groups were seen
at 1200 cm–1. The formation of CSi bonds was seen
at 1000 and 760 cm–1. All these suggest the successful
functionalization and immobilization of MWCNTs on the alumina surface.Energy-dispersive X-ray analysis (EDX) (Thermo scientific K-Alpha+)
was performed to confirm the immobilization of aptamers on the MWCNTs.
We measured the intensity of nitrogen and phosphorous elements on
the MWCNTs’ surface before and after aptamer immobilization,
which are shown with red and blue lines, respectively. As expected,
a sharp rise in the intensity of the P and N elements was seen, which
corresponds to the successful immobilization of the ssDNA aptamers
(Figure b).Ids was measured before and after aptamer
immobilization on the surface. The Ids measured decreased drastically after aptamer immobilization (Figure c,d, data shown are
an average of the values from five sensors). As shown in the graph,
the device demonstrates a fully linear relationship between Ids and Vds, which
shows that a fully Ohmic contact between the source and drain exists.
In order to find the optimum Vg, the Ids was measured against a range of interest
for Vg with steps of 0.1 V. The sweeping
of Vg was fast enough to not let the biosensors
reach a thermal equilibrium. The drain current reduces as the Vg increases. Ids was measured once with 1× PBS and once after the immobilization
of the aptamer. The data showed a maximum difference between Ids measured in the presence of 1× PBS and Ids measured in the presence of the aptamer at Vg = 0.5 V (Figure d). Figure S3a,b shows the values obtained for sensors before and after aptamer immobilization.To further confirm the attachment of aptamers to the MWCNTs’
surface, FESEM images (using TESCAN MIRA III) were taken from the
MWCNTs before and after aptamer immobilization (Figure e). The MWCNTs’ diameters show an
increase after aptamer immobilization (Figures e and a–c). All these experimental results are in consistency with those of
An et al.,[60] suggesting the successful
immobilization of the aptamer on the MWCNTs’ surface.
CRP Detection
The nanobiosensor’s detecting
capability was tested by exposing the sensing area to CRP artificial
sample solutions. The response of the FET-based nanobiosensor is defined
as Response = (I0 – Ic/I0) × 100, where I0 is defined as the drain–source current
before exposure to protein measured in the fresh PBS buffer and Ic is the drain–source current after protein
addition. The sensor’s response was evaluated at certain Vds and Vgs in the
linear working regime. The drain–source current decreases after
protein addition and reaches an equilibrium at about 8 min. As can
be seen from the formula, the response of the sensor increases with
the increasing concentration of CRP. Time-resolved measurements of
CRP were performed at fixed Vds = 0.2
V and Vgs = 0.5 V in 1× PBS and CRP
artificial sample solution. As shown in Figure , the response increases sharply from 0 to
95 with increasing concentrations of CRP to 43 nM (5 mg L–1). The binding of CRP and its aptamer seems to reach saturation at
further concentrations and reaches 98 at 85.71 nM (10 mg L–1). The response of the sensor remains almost unchanged up to 171.43
(20 mg L–1). The inset of Figure shows the responses as a function of the
logarithm of protein concentrations. The range of the linear relationship
lies between 0.43 and 42.86 nM (0.05–5 mg L–1). The limit of detection calculated based on the 3σ/s formula[61] was as low as 150 pM (0.017 mg L–1).
Figure 3
Detection of CRP in artificial samples. Responses produced plotted
against the concentration of the CRP. The responses are shown as ΔI/I0. Inset: responses of the
device against the logarithmic concentration of the CRP.
Detection of CRP in artificial samples. Responses produced plotted
against the concentration of the CRP. The responses are shown as ΔI/I0. Inset: responses of the
device against the logarithmic concentration of the CRP.As seen in the inset of Figure , the first point of the plot indicates a
concentration
of 0.43 nM (0.05 mg L–1) and the last point shown
is a representative for 42.86 nM (5 mg L–1). As
can be seen, the device shows a linear relationship between the responses
and the logarithm of protein concentration. Responses produced with
increasing concentrations after 5 mg L–1 cannot
be distinguished from one another since they are extremely close.
The values plotted here are an average of five devices.Kd, the binding equilibrium constant,
can be determined from the sensor’s response. A lower Kd stands for the stronger tendency for the aptamer
to bind to CRP. The constant can be calculated from the equation below[62,63]where Ci is the
concentration of the CRP at which the response is produced. From the
above equation, the average Kd of all
five sensors was calculated at 2.09 nM, which shows a good sensing
performance by the nanosensor through different sample solutions.
Control Experiment and Selectivity
To make sure that
the MWCNTs used in this experiment had no affinity for direct CRP
bonding, a concentration of CRP of 0.4 nM up to 17.14 nM was added
to bare MWCNTs and the response was measured.[64] As shown in Figure a, the signal remained constant in the sensing time (8 min). This
finding showed that either the CRP has no effects on the bare MWCNTs
or the effect is so low that it cannot be detected by our device.
Figure 4
(a) Inertness
of bare COOH-functionalized MWCNTs to CRP. (b) Selectivity
of the nanobiosensor. Responses of three other proteins are plotted
against the response of CRP. The maximum response produced by other
proteins is 5.11% by a concentration of 1.7 nM BSA.
(a) Inertness
of bare COOH-functionalized MWCNTs to CRP. (b) Selectivity
of the nanobiosensor. Responses of three other proteins are plotted
against the response of CRP. The maximum response produced by other
proteins is 5.11% by a concentration of 1.7 nM BSA.Before aptamer immobilization, the responses produced by
the application
of a range of CRP concentrations to the surface of the biosensor were
measured. The responses changed from 0 to 1% and remained almost constant
with increasing concentrations of the protein, indicating that the
MWCNTs do not have affinity for the protein of interest and rationalize
the choice of them as our conducting channel.
Selectivity of the Nanobiosensor
The selectivity of
the nanobiosensor was measured using TNF-α, IL-6, and BSA. TNF-α
and IL-6 were chosen since they are also found in the onset of sepsis
and their concentrations also rise in response to sepsis. BSA was
chosen since albumin is found in a large amount in the body. Figure S6 shows the responses from these three
proteins plotted against their concentrations. As can be seen, the
responses remain constant and do not change with the increasing concentration
of the proteins (the responses did not change from 100 to 2000 pM
for the three proteins). The responses recorded from the addition
of these proteins at different concentrations are plotted against
their concentrations. As shown in Figure b, the responses remained constant with the
increase in the concentration of the proteins. The changes in the
responses were compared to the changes of the responses produced by
the same concentration of CRP. The graph shows that the same increase
in CRP concentration produced almost 28% more response in comparison
with other proteins.
Reproducibility and Stability Tests
In order to measure
the reproducibility and stability of the biosensor, a series of identical
tests were performed. Responses produced from a series of concentrations
of CRP were measured over a course of 18 days. The correlation coefficient
was measured for the responses all against those on day 1. The sensor
showed stability and precision in the results produced until day 14
(Figure ).
Figure 5
Reproducibility
and stability of the biosensor. The responses of
the five sensors to a certain series of CRP concentrations. The devices
are good to be used until day 14.
Reproducibility
and stability of the biosensor. The responses of
the five sensors to a certain series of CRP concentrations. The devices
are good to be used until day 14.Below, a comparison between different methods of detection of CRP
with this work is presented. As can be seen from Table , the linear range of the sensors
reported does not cover the physiological concentration of the protein.
Although these sensors can detect very low concentrations, they are
not of use in clinical diagnoses.
Table 1
Comparison of Different
Strategies
of CRP Testing
reference
method of detection
linear
range
LOD
Rajesh et al.[29]
FET
1–10 mg L–1
0.009 mg L–1
Mahyari et al.[51]
EIS
10–6–0.05 mg L–1
3 × 10–7 mg L–1
Letchumanan et al.[17]
voltammetry
11 × 10–7–0.11 mg L–1
11.31 × 10–7 mg L–1
Bryan et al.[8]
EIS
0.058–5.8 mg L–1
0.019 mg L–1
Magliulo et al.[65]
FET
0.046–253 mg L–1
1.0 mg L–1
Kim et al.[66]
FET
0.0001–0.01 mg L–1
0.0001 mg L–1
Vitusevich[67]
FET
5 × 10–5–0.005 mg L–1
10–5 mg L–1
this work
FET
0.05–5 mg L–1
0.017 mg L–1
Conclusions
Here,
an MWCNT FET-based nanobiosensor for real-time detection
of CRP is presented. The system consists of an aptameric MWCNT FET
nanobiosensor with a buried gate electrode geometry and a 3D-printed
well mounted on top of its sensing area for better handling of the
samples. The inertness of MWCNTs to CRP was measured with the results
justifying the appropriateness of MWCNTs as the conducting channel.
No need for a linker to attach aptamers to MWCNTs means that our designed
system not only cuts the expenses of a linker but also makes the aptamer–CRP
interaction occur closer to the surface of MWCNTs, which leads to
a higher sensitivity. The specificity of the sensor was measured through
the use of negative controls. Since under the condition of sepsis,
the concentrations of IL-6 and TNF-α rise as well, we used these
two proteins and BSA as our negative controls. Test results indicated
that the sensor is highly specific to CRP and can be relied upon in
that manner. The proposed nanobiosensor can respond to CRP concentration
changes in 8 min with a limit of detection down to 150 pM (0.017 mg
L–1) and a linear range of 0.43–42.86 nM
(0.05–5 mg L–1), which covers the physiological
level of CRP in the human body. The nanosensing system holds great
potential to be used in the clinical diagnosis of CRP-related diseases
at very early stages.
Authors: Hu Chen; Jingfeng Huang; Alagappan Palaniappan; Yi Wang; Bo Liedberg; Mark Platt; Alfred Iing Yoong Tok Journal: Analyst Date: 2016-03-22 Impact factor: 4.616
Authors: Ahmad Kenaan; Kezheng Li; Isabel Barth; Steven Johnson; Jie Song; Thomas F Krauss Journal: Biosens Bioelectron Date: 2020-01-24 Impact factor: 10.618