Abstract
Point-of-care testing (POCT), also known as on-site or near-patient testing, has been exploding in the last 20 years. A favorable POCT device requires minimal sample handling (e.g., finger-prick samples, but plasma for analysis), minimal sample volume (e.g., one drop of blood), and very fast results. Shear horizontal surface acoustic wave (SH-SAW) biosensors have attracted a lot of attention as one of the effective solutions to complete whole blood measurements in less than 3 min, while providing a low-cost and small-sized device. This review provides an overview of the SH-SAW biosensor system that has been successfully commercialized for medical use. Three unique features of the system are a disposable test cartridge with an SH-SAW sensor chip, a mass-produced bio-coating, and a palm-sized reader. This paper first discusses the characteristics and performance of the SH-SAW sensor system. Subsequently, the method of cross-linking biomaterials and the analysis of SH-SAW real-time signals are investigated, and the detection range and detection limit are presented.
Keywords: surface acoustic wave, SAW, SH-SAW, point-of-care testing, POCT, whole blood measurement, simulation, C-reactive protein, lipoprotein, apolipoprotein
1. Introduction
An acoustic wave biosensor is a unique device that uses mechanical vibrations with frequencies ranging from a few megahertz (MHz) to several gigahertz (GHz) to detect binding events on the surface of a chip. These biosensors have some advantages, including being label-free, small in size, reasonable in price, and capable of producing quantitative results using an electrical circuit. Many studies have been published; these have addressed thickness shear mode (TSM) [1,2,3], acoustic plate mode (APM) [4], surface acoustic wave (SAW) [5,6,7], bulk acoustic wave (BAW) [8], and shear horizontal surface acoustic wave (SH-SAW) [5,9,10,11,12]. There are many varieties of different acoustic modes, different frequencies, and different substrate materials. However, only a few products on the market are in use: TSM, BAW, and SH-SAW. Quartz crystal microbalance (QCM) has been widely used for a long time in a variety of different applications [13,14,15]. One of the successful commercial applications of QCM is an odor sensor [16,17]. Multiple QCM sensors have the property of responding to different odors in the air, generally using machine learning with pattern recognition systems [18,19]. In addition, many researchers have used QCM systems to study binding events in biological applications [20]. A BAW biosensor system consisting of a desktop reader and a microfluidic cartridge has been introduced for medical applications [21]. Qorvo Biotechnologies has obtained an emergency use authorization (EUA) from the FDA for the rapid detection of the COVID-19 antigen by using BAW at the point of care [22]. On the other hand, SH-SAW sensors are popular in liquid phase applications [23,24,25,26,27,28,29]. In addition, a unique SH-SAW biosensor system has been commercialized for medical applications. The system consists of a palm-sized reader and a disposable cartridge with a simple structure like a lateral flow test cartridge.
This paper outlines an SH-SAW biosensor system that has been successfully commercialized for medical use. The system has three main unique features: a disposable test cartridge with an SH-SAW sensor chip, a mass-produced bio-coating, and a palm-sized reader. The sensor chip has a unique air chamber structure that protects the electrical transducers from liquids and has a sensing area exposed to apply a drop of a sample. The sensing area of the chip has two channels: one for sensing and one for reference. These two channels have dried proteins on the gold surface, which are applied in the factory. To apply the proteins to the gold surface of the chip, several machines were designed and a pilot line of more than 10 machines was set up in series for automatic coating. This pilot line has a capacity of several million chips per year. The palm-sized reader measures the phase and amplitude changes of the SH-SAW in real time and estimates the concentration using a calibration curve, which is provided by a QR code for each test cartridge. The reader and sensor chip are common platforms for different markers. This paper demonstrates the performance of a number of different markers measured using this system, including C-reactive protein (CRP), lipoprotein (a) (Lp(a)), apolipoprotein B (ApoB) [30], and anti-SARS-CoV-2 Spike protein antibody [12].
2. Shear Horizontal Surface Acoustic Wave (SH-SAW) Sensor System
2.1. SH-SAW Sensor Chip
A 250 MHz two-channel SH-SAW delay line biosensor was designed and evaluated on a 36° Y-cut 90° X-propagated quartz with a thickness of 0.5 mm [31]. The quartz substrate was chosen because it has a smaller temperature coefficient than LiTaO3 or LiNbO3 substrates. For commercialization, we modified the previously designed delay line [31]. To reduce the size of chip, we designed a reflective delay line. The floating electrode unidirectional transducers (FEUDTs) [32], reflector, and sensing areas form a gold film with a thickness of about 117.5 nm on the chip surface. The FEUDTs have an aperture of about 0.4 mm and 80 finger pairs. A 250 MHz SH-SAW with a wavelength of about 20 μm is excited at the FEUDT; propagates to the reflector, where it is reflected; and then propagates back to the FEUDT, where it is received. The size of each sensing zone is approximately 0.56 mm × 1.8 mm. To protect the transducers, a unique microfabricated air cavity structure was developed on top of the FEUDTs. The air cavity consists of epoxy resin walls surrounding the FEUDTs and a glass coverlid [31]. This structure minimizes the attenuation of SH-SAWs, and liquid reagents and samples can be applied directly to the chip surface. We have tested SH-SAW biosensors at different frequencies, from 50 MHz to 500 MHz. Currently, we have chosen an SH-SAW delay line chip with a time delay of about 1 microsecond and an operating frequency of 250 MHz because its signal-to-noise ratio is critical for the sensor system.
The two-channel SH-SAW delay line biosensor chip has a size of approximately 3 mm × 6 mm; one is the reference channel and the other is the capture channel. The chip is mounted on a printed circuit board (PCB) with dimensions of about 10 mm × 23 mm, and the signal pads and ground pads are connected by bonding wires. After that, the bonding wires and some areas of the chip are molded with epoxy resin. As shown in Figure 1, there is an open area of about 3 mm square around the black epoxy resin, which facilitates the retention of the sample liquid. The two black rectangles within the open area are a reference channel and a capture channel with a gold film.
2.2. Reader (to Measure Phase and Amplitude Changes of SH-SAWs)
In SH-SAW sensor systems, some binding events on the chip surface cause velocity and amplitude changes in the SH-SAWs, which are caused by mass and viscosity changes [31,33]. There are usually two ways to understand the velocity changes: measuring the resonant frequency changes and measuring the electrical phase changes. In the case of frequency measurement systems, this system can provide higher performance because we can obtain a very high frequency resolution using a very high Q SAW-based resonator. However, in the case of liquid phase applications, the liquid sample should significantly reduce the Q factor of the sensor device, and the electrical properties of the sample may also affect the resonant frequency.
We developed an electrical phase measurement system for the delay line that has a sensor area separated from the electrical transducers. Thus, we can observe the binding events of biological materials under electrically stable conditions. The electrical phase and amplitude of the SH-SAW propagating over the sensing area can be measured from the difference between the input and output signals of the transducer. We have developed a custom integrated circuit chip to measure electrical phases and amplitudes [34]. The change in the velocity of the SH-SAW leads to a change in the wavelength of the SH-SAW, which in turn leads to a change in the phase of the electrical signal propagating over the sensing area of the SH-SAW. As shown in Figure 2, the larger the sensing length, the larger the electrical phase change due to the velocity change of the SH-SAW. The chip has been designed for a maximum of four-channel measurements for future applications. A palm-sized reader has been implemented with a custom IC chip that measures the phase and amplitude changes of the SH-SAWs and calculates the concentration of the sample using a four-parameter logistics (4PL) curve, which is obtained from a quick response (QR) code.
This reader is a simple electronic device with low power consumption and can be operated with four AAA batteries. The reader does not require any complex mechanical systems such as a microfluidic system, as no washing system is required. The current reader weighs about 250 g and includes a QR code reader module, near field communication (NFC) module, display module, and batteries. This is easy for physicians to carry to the patient’s home. On the other hand, if we use a smart phone to assist the reader, the reader does not need a QR code reader module, NFC module, display module, and battery. In this case, the size and cost of the reader will be significantly reduced, and it may be suitable for home use.
3. Basic Performance of the SH-SAW Sensor Chip
3.1. Simulation Model for the Evaluation of SH-SAW Performance
To understand the performance of the SH-SAW sensors, numerical computational analysis of the SH-SAW has been investigated [31,33,35]. The model structures are shown in Figure 3a,b. There are multiple layers: substrate (I)/metal(II)/liquid(III) or substrate (I)/metal(II)/viscoelastic film(III)/liquid(IV). In Figure 3a, the substrate layer (I) is 36Y-90X quartz, the metal layer (II) is gold, the additional material layer (III) is a protein layer, and the liquid layer (IV) is water or a buffer [31,33]. In this review, a three-layer model as shown in Figure 3b was used to calculate the glycerol-water mixture. The substrate layer (I) is 36Y-90X quartz, the metal layer (II) is gold, and the liquid layer (III) is a glycerol-water mixture [35,36]. In these calculations, we used an improved numerical computational method for these model structures [31,34,36]. This method was modified from two computational methods: one is based on Campbell and Jones [37], and the other is based on Moriizumi, Unno and Shiokawa [38]. This calculation method has been reported in detail [39]. In the calculation of glycerol-water mixtures, the density and viscosity of the liquid were used for layer (III). Since the solution was approximated as an uncompressed isotopic medium, the shear modulus of elasticity can be defined by the viscosity [39]. The material constants for different concentrations of glycerol mixtures were obtained from the technical data handbook [40]. We used the following values in our calculations, as shown in Table 1. This numerical calculation method [31,34,36] is very adequate for SH-SAW sensor devices on quartz. On the other hand, another analytical model for SH-SAW devices using FEM (Finite Element Method) will be investigated in the near future.
Table 1.
Air | 0 wt% | 10 wt% | 20 wt% | 30 wt% | 40 wt% | |
---|---|---|---|---|---|---|
Desity (×103) (kg·m−3) | 0.0012 | 0.9967 | 1.0207 | 1.0465 | 1.0714 | 1.099 |
Viscosity (×10−3) (Pa·s) | 0.01845 | 0.8368 | 1.22 | 1.64 | 2.3 | 3.4 |
3.2. Mass Loading Sensitivity in Air
The mass sensitivity of this SH-SAW delay line sensor is evaluated by the center frequency changes for different gold film thicknesses. In our experiments, the center frequency variation is 440 ppm at 250 MHz SH-SAW with a gold film thickness change of 1 nm, i.e., 0.11 MHz. As shown in Table 2, the SH-SAW velocities (Vm) on the 117.5 nm and 116.5 nm gold films were 4754.52 m/s and 4759.59 m/s, respectively. According to our calculation, the SH-SAW velocity (Vo) on the free surface is 5089.31 m/s. If we assume a metallization ratio is 0.5, a Vm of 4754.52, and a Vo of 5089.31, we can obtain a center frequency change of 551 ppm and a gold film thickness change of 1 nm for the 250 MHz SH-SAW sensors.
Table 2.
Thickness (nm) | Air | Glycerol-Water Mixture | |||||
---|---|---|---|---|---|---|---|
0% | 10% | 20% | 30% | 40% | |||
Velocity | 116.5 | 4759.59 | 4754.75 | 4753.99 | 4753.02 | 4751.71 | 4749.86 |
(m/s) | 117.5 | 4754.52 | 4750.17 | 4749.40 | 4748.43 | 4747.11 | 4745.25 |
118.5 | 4749.43 | 4744.54 | 4743.77 | 4742.78 | 4741.46 | 4739.59 | |
Attenuation (dB/λ) |
116.5 | 0.000270 | 0.0558 | 0.0647 | 0.0760 | 0.0913 | 0.1131 |
117.5 | 0.000272 | 0.0562 | 0.0651 | 0.0764 | 0.0918 | 0.1137 | |
118.5 | 0.000274 | 0.0565 | 0.0655 | 0.0770 | 0.0925 | 0.1145 |
On the other hand, the calculated SH-SAW velocity change on the gold film in the air between 117.5 nm and 116.5 nm thickness is 1066 ppm. This means that the mass loading sensitivity of the SH-SAW delay line sensor is 1066 ppm per 1 nm gold film thickness change in the air. Since the sensing length of this delay line sensor chip is 3.6 mm, a 1 nm change in gold film thickness produces a phase shift of 72.6 degrees in the air. If the minimum phase resolution of this system is 0.1 degrees, then the minimum resolution of the gold film thickness change would be 0.0138 nm in the air.
Compared with QCM, the frequency change of QCM was calculated by the equation:
(1) |
where f Hz is the measured frequency shift, Hz the resonant frequency of the quartz crystal, and kg·m−2 the mass change per unit area at the QCM surface. 2.947 × 1010 kg·m−1·s−2 the shear modulus of quartz, and 2.648 × 103 kg·m−3 the density of quartz. The mass sensitivity of QCM is 0.606 ng/cm2 per 1 Hz at 27 MHz. The frequency change of this QCM for a 1 nm gold film thickness surface change would be 3188.12 Hz, which is a 118 ppm at 27 MHz [41].
This SH-SAW sensor chip has a mass sensitivity of 1066 ppm at 250 MHz for a 1 nm gold film thickness change, which is about 9 times higher than that of the 27 MHz QCM. Notably, the operating frequency of this SH-SAW is about 9 times higher than that of the 27 MHz QCM. For both QCMs and SH-SAW sensors, the sensitivity should be proportional to the operating frequency. This result suggests that the SH-SAW and QCM with the same frequency will provide similar mass loading sensitivity.
3.3. Mass Loading Sensitivity in Liquid
The sensitivity of SH-SAW delay line sensors for mass loading in water has been studied [31,33]. In experiments performed on an SH-SAW chip for antibody-antigen binding, it was clear that the measured phase shift was much larger than the calculated phase shift due to mass change caused by binding [34]. We found that mass loading sensitivity of the SH-SAW was not high and that the main signal changes could be caused by the viscosity changes of the surface. Here, we calculated the velocities and loss of this SH-SAW delay line sensor in water with different gold thicknesses (116.5, 117.5, and 118.5 nm) as shown in Table 2. As shown in the columns of 0% glycerol-water mixture in Table 2, the mass loading sensitivity of this SH-SAW delay line is 964 ppm per 1 nm of gold film thickness change in water at 117.5 nm.
3.4. Viscosity Sensitivity in Liquid
To analyze the viscosity sensitivity of this SH-SAW delay line sensor, we used different concentrations of glycerol-water mixtures with well-known material constants. In our experiments, we obtained the velocity and attenuation changes for different concentrations of glycerol-water mixtures (0, 10, 20, and 30 wt%) at a room temperature of 23 °C.
On the other hand, we calculated the velocity and attenuation of the SH-SAWs in the glycerol-water mixtures using the model shown in Figure 3b. Then, we calculated the phase changes and attenuation changes of the delay line sensor chip in the sensing area using a sensing length of 3.6 mm. The results of the calculations and measurements are shown in Table 3. In the delay line sensor chip, as shown in Figure 4, there are some false grating regions between the FEUDT and the sensing area, which are not included in the sensing length. The total length of these grating areas may be around 0.4 mm, which may cause some errors. In addition, good agreements were obtained between calculations and measurements. However, the calculated results might have some errors due to a measured thickness error of the gold film and/or of the density of the gold film. Although we used the density of the bulk value of the gold, the density of the evaporated gold film might be somewhat smaller than the bulk value. We will be more careful with experiments.
Table 3.
Glycerol-Water % | 10% | 20% | 30% | |
---|---|---|---|---|
≒Viscosity (×10−3 Pa·s) | 1.22 | 1.64 | 2.30 | |
Phase Shift (degree) |
Calculation | −10.99 | −25.01 | −43.95 |
Measurement | −10.43 | −23.45 | −39.79 | |
Amplitude shift (dB) |
Calculation | −1.69 | −3.85 | −6.77 |
Measurement | −1.54 | −3.53 | −6.13 |
By our calculations, we obtained the viscosity sensitivity of this SH-SAW delay line sensor: 1.10 degrees (16.10 ppm) per 1 wt% change in a 10 wt% glycerol-water mixture. This implies a change of 9.01 degrees (420.14 ppm) per 1 cP (10−3 Pa·s) in a 10 wt% glycerol-water mixture. Our calculations and measurements indicate that the mass change caused by antibody-antigen binding on the surface is not sufficient to explain the phase changes in SH-SAW obtained experimentally [34]. In this SH-SAW delay line sensor system, viscosity sensitivity may play a dominant role in antibody-antigen binding events.
4. A Simple Method to Fabricate the SH-SAW Biosensor
The SH-SAW POCT platform provides a 3 mm × 5 mm dual-channel SH-SAW biosensor chip as shown in Figure 1; one channel is used for reference and the other for capture. Each channel on the chip has a FEUDT with a center frequency of 250 MHz, a sensing region with an approximately 100 nm thick gold film, and a reflector. The non-substrate material of the chip is a 36Y-cut 90X-propagating quartz with a thickness of 0.5 mm [35,42]. The simple process of biomaterial coating has five steps, including cleaning, cross-linking, biomaterial coating, blocking, and stabilizer coating. The gold sensing area of the chips can be cleaned by physical or chemical methods, such as oxygen plasma cleaning or acetone, which helps to move debris and increase the hydrophilicity of the sensor surface. Oxygen plasma etching at moderate power (<200 W) provides a convenient and efficient method to remove organic agents from gold without causing significant damage [43,44]. The choice of crosslinkers for use on gold sensing surfaces is diverse; dithiobis [succinimidyl propionate] (DSP) is a convenient self-assembling crosslinker that binds to disulfide bonds on gold surfaces within 5 min and provides N-Hydroxysuccinimide (NHS ester) for conjugation of lysine or arginine to the biomaterials.Moreover, other NHS esters containing disulfide bonds, such as 3,3′-dithiobis(sulfosuccinimidyl propionate) (DTSSP), N-succinimidyl 3-(2-pyridyldithio) propionate (SPDP), and N-succinimidyl 6-(3(2-pyridyldithio)propionamido)hexanoate (LCSPDP) can be used to modify the amino groups of antibodies to the gold surface [45,46]. A homogeneous, low cross-reactivity blocking layer is important for biosensor measurements. The choice of blocking agent should be based on the size of the coating materials; blocking agents larger than the coating materials may lead to shielding effects [42]. Sugars, such as sucrose or trehalose, are key materials for the storage and stability of biosensors. Different formulations affect the storage conditions and lifetime of biosensors and are also a key to reach practical application and commercialization [47].
5. Quick Whole Blood Measurement by SH-SAW
Many in vitro diagnostics (IVD) devices use serum or plasma for clinical measurements. However, serum or plasma samples require pre-separation of blood cells from whole blood using a centrifuge and therefore are not readily available from the laboratory. There is an urgent need for an IVD device that can measure whole blood and can be used at home, in rural areas, or in places where medical resources are scarce [48,49]. Unlike spectroscopic measurements, the detection of the SH-SAW biosensor is not influenced by the transmittance or optical complex reflection factors of the sample. As shown in Figure 5, the SH-SAW biosensor can allow quantitative measurements by measuring real-time immunokinetic binding.
To compare changes in the SH-SAW, the phase shift is analyzed using an endpoint window, which is the signal difference from the phase shift at the initial baseline point to the phase shift at a specific time point. However, endpoint data are more susceptible to spurious initial points and are usually saturated at high concentrations. Another way to analyze real-time data is to use the slope of the real-time curve for a specific range. The advantage of a slope window is that we can quickly get a result in a few seconds. By using a slope window of 20–40 s, a measurement such as a SAW biosensor with an S-protein coating can be completed in less than 40 s. By creating a standard curve using the slope of a specific range of real-time curves, a fast test can be completed in less than a minute [30,50].
During a 5-microliter whole blood measurement, the viscosity and/or concentration of the whole blood sample may change due to evaporation and/or coagulation, and then the propagation characteristics of the SH-SAW may be affected. The shorter the measurement time, the better, but the measurement should be completed within three minutes at the most.
6. Detection Range of the SH-SAW Biosensor
As shown in Table 4, SH-SAW detection for whole blood samples ranges from micrograms per milliliter (μg/mL) to milligrams per milliliter (mg/mL) levels. For different detection ranges, different detection methods should be used. The CRP SAW biosensor requires a secondary antibody to enhance the signal to detect CRP antigen concentrations from 1.9 to 118 μg/mL. The Lp(a) SH-SAW biosensor can directly measure finger whole blood samples without additional enhancers to detect Lp(a) from 83 to 1402 μg/mL. In contrast, the detection range of the SH-SAW biosensor coated with S protein for direct measurement was determined to be 48.3 to 1597.2 BAU/mL with a linear regression of 0.9935. Unlike other markers at low detection concentration levels, such as small molecular markers or cancer markers [29,51], which require secondary antibodies or enhancers or amplification of the measured signal, high concentration levels of measurements require different dilutions to differentiate the signal. In the SH-SAW measurement system, dilution is important for lipid mass spectrometry or other measurements of samples at high concentration levels [30]. The detection range of diluted ApoB is 51 to 2022 μg/mL.
Table 4.
Test Item | Marker | |||
---|---|---|---|---|
CRP | Lp(a) | apoB | SARS-CoV-2 S Protein | |
Detection Method |
Pre-mix with secondary antibody |
Directly measurement | Dilution measurement | Directly measurement |
Test time | 3 min | 3 min | 30 s | 40 s |
Linearity range | 1.9–118 μg/mL | 83–1402 μg/mL | 51–2022 μg/mL | 50–1500 BAU/mL |
Sensitivity | LoQ = 1000 ng/mL LoD = 390 ng/mL LoB = 170 ng/mL | LoD = 58.3 g/mL LoB = 14.5 g/mL |
LoD = 80.1 g/mL LoB = 54.7 g/mL |
LoD = 41.91 BAU/mL LoB = 27.48 BAU/mL |
Comparison | R = 0.986/ Slope = 1.003 (n = 170) * |
R = 0.9698/ Slope = 1.0598 (n = 55) # |
R = 0.9287/ Slope = 0.9741 (n = 55) % |
NPA = 98.7% (n = 79)/PPA = 94.3% (n = 35) @ |
* Compared with Beckman Coulter CRP Latex; # Compared with Abbot Lp(a) Reagent Kit; % Compared with Advia Chemistry—Apolipoprotein B; @ Compared with cPass™ SARS-CoV-2 Neutralization Antibody Detection Kit; Positive percentage agreement (PPA); Negative percentage agreement (NPA); Limit of quantification (LoQ); limit of blank (LoB); and limit of detection (LoD).
7. Detection Limit of the SH-SAW Biosensor
The limit of quantification (LoQ), limit of blank (LoB) and limit of detection (LoD) are parameters to confirm the sensitivity of the biosensor by performing 60 replicate tests at low concentrations to check the standard deviation and coefficient of variation [52]. SH-SAW measurements using secondary antibodies, such as the CRP SAW biosensor, can achieve an LoQ of 1 μg/mL, while direct SH-SAW measurements, such as the Lp(a) SAW biosensor, can achieve an LoD of 83 μg/mL. Direct measurements on the S protein-coated SAW biosensor were determined to have an LoD of 41.91 BAU/mL for the whole blood sample [42]. This SH-SAW biosensor system can directly accept a drop of whole blood on the sensor surface and measure the concentration of the target protein in the sample without any additional washing process. Unlike the SH-SAW biosensor, electrochemical-based measurements or other detection methods can achieve better sensitivity through multiple washing steps or complex processes before and after the measurement, as shown in Table 5. Since whole blood contains red cells, white cells, and many different proteins, unfortunately, these interferences may lead to some errors in the measurements. Nevertheless, this SH-SAW biosensor system can provide results in this harsh environment. The absence of a pretreatment and cleaning system is a clear advantage of this SH-SAW biosensor system and must be highly expected in POCT applications. On the other hand, if we use this SH-SAW biosensor system in a buffer, a very clear signal will be obtained and then the detection limit will be improved. Figure 6 shows some experimental results of CRP detection in a buffer. The figure shows the direct detection method with antigens bound to a capture antibody on the surface and sandwich detection of secondary antibodies binding to a capture antibody bound to the antigens. In this case, the signal at 0.01 μg/mL is easily distinguishable from the signal at 0 μg/mL, and the LoD will be smaller than 0.01 μg/mL. There are also some opportunities to enhance the output signals using gold nano-particles [51,53], horseradish peroxidase (HRP) [54], and gold staining [55]. The detection limit can also be improved by reducing the nonspecific binding. Not only can the blocking agent help prevent nonspecific binding, but some studies have also integrated a transducer into the current biosensor to induce an extra surface shear to remove weakly nonspecifically bound molecules from the sensing surface [56]. Since SAW devices are sensitive to environmental conditions, adjustment or compensation for temperature can also help to improve the sensitivity of the SAW biosensor [57]. In general, acoustic wave-based sensor devices have temperature characteristics that may cause some measurement errors due to the temperature. In the actual testing environment for POCT, attention should be paid to the temperatures of the sensor chips and/or the sample solutions, as they will be outside the laboratory. For this reason, we use a quartz-based SH-SAW sensor, which has a lower temperature drift than LiTaO3 or LiNbO3-based devices. In addition, in our SH-SAW sensor system, the reference channel helps to compensate for errors due to temperature drifts [58].
Table 5.
Detection Method | Sample Type | Sample Size | Test Time | Detection Probe | Detection Range | Limit of Detection | Ref. |
---|---|---|---|---|---|---|---|
Electrochemistry (DPV) | CRP antigen | - | 60 min | Antibody | 0.01–1000 pg/mL | 5.0 pg/mL | [59] |
Electrochemistry (SWV) | Serum | - | 90 min | Aptamer | 1–125 ng/mL | 0.0017 ng/mL | [60] |
SPR | Serum | - | 15 min | Antibody | 0.006–70 μg/mL | 0.009 μg/mL | [61] |
Colorimetric immunoassay | CRP antigen | 30 μL | 5 min | Aptamer | 0.889–20.7 μg/mL | 1.2 μg/mL | [62] |
Colorimetric immunoassay | CRP antigen | 100 μL | 30 min (pre-process) | Antibody | 10–5000 ng/mL | 100 ng/mL | [63] |
SAW (Rayleigh wave) |
CRP antigen | 50 μL | 10 min | Antibody | 0.1–1000 μg/mL | 0.1 μg/mL | [64] |
QCM | Serum | - | - | Antibody | 0.01–1000 ng/mL | - | [65] |
SH-SAW | Finger blood | 5 μL | 3 min | Antibody | 2–120 μg/mL | 0.39 μg/mL | This paper |
Serum | - | <10 ng/mL |
Differential pulse voltammetry (DPV); Square wave voltammetry (SWV); Surface plasmon resonance (SPR).
8. Conclusions
SH-SAW technology has been extensively studied and applied to different applications and quantitative biosensing. The sensitivity to mass loading and viscosity has been well investigated in order to reach the limits and interference of SH-SAW biosensors. The conical cross-linking method between gold sensing surfaces and the biomaterials has been identified for large-scale production. In addition to enabling a fast POCT device, the slope of the real-time signal provides a solution for reducing incubation time. For POCT measurements, there is an urgent need for a whole blood measurement system. The SH-SAW biosensor enables a detection limit of 1 μg/mL for whole blood by premixing enhancers. The SH-SAW devices also have the potential to further improve sensitivity and specificity by premixing biomaterial-conjugated gold nanoparticles, increasing the thickness of the gold film in the sensing area, increasing the detection frequency, or increasing the sensing delay time. The SH-SAW devices show great promise for POCT biosensor development and health management, with the advantages of fast response time, small size, and high sensitivity. As the SAW filters used in cell phones have changed dramatically in the past 20 years, SH-SAW devices for biosensors will change similarly. The size and cost of SH-SAW biosensor devices will reach one-twentieth of their current values in the next 20 years. To achieve this goal, we need to reduce the chip size while improving the device structure. At the same time, multiple markers detection capabilities and improved sensitivity on a chip should be a good strategy. From the commercialization point of view, we are now working on multiple markers detection capabilities on a chip, improving the device structure, and increasing the sensitivity without changing the frequency. On the other hand, from an academic point of view, we are using the simulation program to analyze the bio-layers on the sensor surface.
Acknowledgments
This SH-SAW sensor system has been developed over a period of 15 years. During that time, it has passed through Japan Radio Co., Ltd. and OJ-Bio Co., Ltd. is now taken over by tst biomedical electronics Co., Ltd. We would like to thank all the people involved in this project.
Author Contributions
Conceptualization, C.-H.C. and H.Y.; methodology, H.Y., J.K. and M.G.; formal analysis, H.Y. and C.-H.C.; investigation, R.Y.L.W. and S.-H.L.; resources, H.Y., J.K. and M.G.; data curation, C.-H.C., H.Y., J.K. and M.G.; writing—original draft preparation, C.-H.C.; writing—review and editing, R.Y.L.W., H.Y., J.K., M.G. and S.-H.L.; supervision, R.Y.L.W.; funding acquisition, R.Y.L.W. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research was funded in part by grants from the Ministry of Science and Technology, Taiwan (MOST-110-2320-B-182-029) and the Chang Gung Memorial Hospital Research Fund (CMRPD1M0421-2 and CMRPD1M0851) to RW, and the APC was funded by Chang Gung University (BMRBP16).
Footnotes
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References
- 1.Piovarci I., Melikishvili S., Tatarko M., Hianik T., Thompson M. Detection of Sub-Nanomolar Concentration of Trypsin by Thickness-Shear Mode Acoustic Biosensor and Spectrophotometry. Biosensors. 2021;11:117. doi: 10.3390/bios11040117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Liu J., Chen D., Wang P., Song G., Zhang X., Li Z., Wang Y., Wang J., Yang J. A microfabricated thickness shear mode electroacoustic resonator for the label-free detection of cardiac troponin in serum. Talanta. 2020;215:120890. doi: 10.1016/j.talanta.2020.120890. [DOI] [PubMed] [Google Scholar]
- 3.Wu H., Zhao G., Zu H., Wang J.H., Wang Q.M. Real-Time Monitoring of Platelet Activation Using Quartz Thickness-Shear Mode Resonator Sensors. Biophys. J. 2016;110:669–679. doi: 10.1016/j.bpj.2015.11.3511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dahint R., Bender F., Morhard F. Operation of acoustic plate mode immunosensors in complex biological media. Anal. Chem. 1999;71:3150–3156. doi: 10.1021/ac990119u. [DOI] [PubMed] [Google Scholar]
- 5.Huang Y., Das P.K., Bhethanabotla V.R. Surface acoustic waves in biosensing applications. Sens. Actuators Rep. 2021;3:100041. doi: 10.1016/j.snr.2021.100041. [DOI] [Google Scholar]
- 6.Rana L., Gupta R., Tomar M., Gupta V. Highly sensitive Love wave acoustic biosensor for uric acid. Sens. Actuators Chem. 2018;261:169–177. doi: 10.1016/j.snb.2018.01.122. [DOI] [Google Scholar]
- 7.Samarentsis A.G., Pantazis A.K., Tsortos A., Friedt J.-M., Gizeli E. Hybrid Sensor Device for Simultaneous Surface Plasmon Resonance and Surface Acoustic Wave Measurements. Sensors. 2020;20:6177. doi: 10.3390/s20216177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Liu F., Li F., Nordin A.N., Voiculescu I. A novel cell-based hybrid acoustic wave biosensor with impedimetric sensing capabilities. Sensors. 2013;13:3039–3055. doi: 10.3390/s130303039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lange K. Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review. Sensors. 2019;19:5382. doi: 10.3390/s19245382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Chawich J., Hassen W.M., Elie-Caille C., Leblois T., Dubowski J.J. Regenerable ZnO/GaAs Bulk Acoustic Wave Biosensor for Detection of Escherichia coli in "Complex" Biological Medium. Biosensors. 2021;11:145. doi: 10.3390/bios11050145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nair M.P., Teo A.J.T., Li K.H.H. Acoustic Biosensors and Microfluidic Devices in the Decennium: Principles and Applications. Micromachines. 2021;13:24. doi: 10.3390/mi13010024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cheng C.-H., Peng Y.-C., Lin S.-M., Yatsuda H., Szu-Heng L., Liu S.-J., Kuo C.-Y., Wang R.Y.L. Measurements of Anti-SARS-CoV-2 Antibody Levels after Vaccination Using a SH-SAW Biosensor. Biosensors. 2022;12:599. doi: 10.3390/bios12080599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Asai N., Terasawa H., Shimizu T., Shingubara S., Ito T. Highly sensitive quartz crystal microbalance based biosensor using Au dendrite structure. Jpn. J. Appl. Phys. 2018;57:02CD01. doi: 10.7567/JJAP.57.02CD01. [DOI] [Google Scholar]
- 14.Ju S., Zhang C., Zahedinejad P., Zhang H. SC-Cut Quartz Resonators for Dynamic Liquid Viscosity Measurements. IEEE Trans. Ultrason. Ferroelectr. Freq. Control. 2021;68:3616–3623. doi: 10.1109/TUFFC.2021.3096782. [DOI] [PubMed] [Google Scholar]
- 15.Liu C., Wyszynski B., Yatabe R., Hayashi K., Toko K. Molecularly Imprinted Sol-Gel-Based QCM Sensor Arrays for the Detection and Recognition of Volatile Aldehydes. Sensors. 2017;17:382. doi: 10.3390/s17020382. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Moriizumi T., Nakamoto T., Sakuraba Y. Odor-Sensing System Using QCM Gas Sensors and an Artificial Neural Network; Proceedings of the Olfaction and Taste XI; Sapporo, Japan. 12–16 July 1993; pp. 694–698. [Google Scholar]
- 17.Yatabe R., Shunori A., Wyszynski B., Hanai Y., Nakao A., Nakatani M., Oki A., Oka H., Washio T., Toko K. Odor Sensor System Using Chemosensitive Resistor Array and Machine Learning. IEEE Sens. J. 2021;21:2077–2083. doi: 10.1109/JSEN.2020.3016678. [DOI] [Google Scholar]
- 18.Lu H.-H., Rao Y.K., Wu T.-Z., Tzeng Y.-M. Direct characterization and quantification of volatile organic compounds by piezoelectric module chips sensor. Sens. Actuators Chem. 2009;137:741–746. doi: 10.1016/j.snb.2009.01.060. [DOI] [Google Scholar]
- 19.Imamura G., Yoshikawa G. Development of a Mobile Device for Odor Identification and Optimization of Its Measurement Protocol Based on the Free-Hand Measurement. Sensors. 2020;20:6190. doi: 10.3390/s20216190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Montagut Y., Garcia J., Jimenez Y., March C., Montoya A., Arnau A. QCM Technology in Biosensors. InTech; Sydney, Australia: 2011. [Google Scholar]
- 21.Xu W., Zhang X., Choi S., Chae J. A High-Quality-Factor Film Bulk Acoustic Resonator in Liquid for Biosensing Applications. J. Microelectromechanich. Syst. 2011;20:213–220. doi: 10.1109/JMEMS.2010.2093568. [DOI] [Google Scholar]
- 22.Innovative Point-of-Care Testing Platform Using BAW Technology. [(accessed on 13 March 2023)]. Available online: https://www.qorvo.com/innovation/biotechnologies.
- 23.Kogai T., Yoshimura N., Mori T., Yatsuda H. Liquid-Phase Shear Horizontal Surface Acoustic Wave Immunosensor. Jpn. J. Appl. Phys. 2010;49:07HD15. doi: 10.1143/JJAP.49.07HD15. [DOI] [Google Scholar]
- 24.Horiguchi Y., Miyachi S., Nagasaki Y. High-Performance Surface Acoustic Wave Immunosensing System on a PEG/Aptamer Hybridized Surface. Langmuir. 2013;29:7369–7376. doi: 10.1021/la304548m. [DOI] [PubMed] [Google Scholar]
- 25.Kogai T., Yatsuda H. Liquid-Phase Membrane-Type Shear Horizontal Surface Acoustic Wave Devices. Sens. Mater. 2014;26:599–606. [Google Scholar]
- 26.Turbé V., Gray E.R., Lawson V.E., Nastouli E., Brookes J.C., Weiss R.A., Pillay D., Emery V.C., Verrips C.T., Yatsuda H., et al. Towards an ultra-rapid smartphone-connected test for infectious diseases. Sci. Rep. 2017;7:11971. doi: 10.1038/s41598-017-11887-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gray E.R., Turbé V., Lawson V.E., Page R.H., Cook Z.C., Ferns R.B., Nastouli E., Pillay D., Yatsuda H., Athey D., et al. Ultra-rapid, sensitive and specific digital diagnosis of HIV with a dual-channel SAW biosensor in a pilot clinical study. NPJ Digit. Med. 2018;1:35. doi: 10.1038/s41746-018-0041-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Taylor J.J., Jaedicke K.M., van de Merwe R.C., Bissett S.M., Landsdowne N., Whall K.M., Pickering K., Thornton V., Lawson V., Yatsuda H., et al. A Prototype Antibody-based Biosensor for Measurement of Salivary MMP-8 in Periodontitis using Surface Acoustic Wave Technology. Sci. Rep. 2019;9:11034. doi: 10.1038/s41598-019-47513-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Toma K., Harashima Y., Yoshimura N., Arakawa T., Yatsuda H., Kanamori K., Mitsubayashi K. Semicontinuous Measurement of Mite Allergen (Der f 2) Using a Surface Acoustic Wave Immunosensor under Moderate pH for Long Sensor Lifetime. Sens. Mater. 2017;29:1679–1687. doi: 10.18494/SAM.2017.1634. [DOI] [Google Scholar]
- 30.Cheng C.-H., Yatsuda H., Kondoh J. A rapid in vitro diagnostic device based on SH-SAW platform to measure the lipid profile; Proceedings of the Piezoelectric Materials & Devices Symposium; Tokyo, Japan. 26–27 January 2023; pp. 26–27. [Google Scholar]
- 31.Goto M., Yatsuda H., Kondoh J. Effect of viscoelastic film for shear horizontal surface acoustic wave on quartz. Jpn. J. Appl. Phys. 2015;54:07HD02. doi: 10.7567/JJAP.54.07HD02. [DOI] [Google Scholar]
- 32.Yamanouchi K., Furuyashiki H. New low-loss SAW filter using internal floating electrode reflection types of single-phase unidirectional transducer. Electron. Lett. 1984;20:989–990. doi: 10.1049/el:19840672. [DOI] [Google Scholar]
- 33.Goto M., Yatsuda H., Kondoh J. Analysis of Mass Loading Effect on Guided Shear Horizontal Surface Acoustic Wave on Liquid/Au/Quartz Structure for Biosensor Application. Jpn. J. Appl. Phys. 2013;52:07HD10. doi: 10.7567/JJAP.52.07HD10. [DOI] [Google Scholar]
- 34.Yatsuda H., Kogai T., Goto M., Kano K., Yoshimura N. Immunosensor Using 250MHz Shear Horizontal Surface Acoustic Wave Delay Line; Proceedings of the 2018 Asia-Pacific Microwave Conference (APMC); Kyoto, Japan. 6–9 November 2018; pp. 566–568. [Google Scholar]
- 35.Goto M., Yatsuda H., Kondoh J. Numerical analysis of liquid-phase SH-SAW biosensor on quartz; Proceedings of the 2012 IEEE International Ultrasonics Symposium; Dresden, Germany. 7–10 October 2012; pp. 2110–2113. [Google Scholar]
- 36.Kano K., Yatsuda H., Kondoh J. Evaluation of Shear Horizontal Surface Acoustic Wave Biosensors Using "Layer Parameter" Obtained from Sensor Responses during Immunoreaction. Sensors. 2021;21:4924. doi: 10.3390/s21144924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Campbell J.J., Jones W.R. A method for estimating optimal crystal cuts and propagation directions for excitation of piezoelectric surface waves. IEEE Trans. Sonics Ultrason. 1968;15:209–217. doi: 10.1109/T-SU.1968.29477. [DOI] [Google Scholar]
- 38.Moriizumi T., Unno Y., Shiokawa S. New Sensor in Liquid Using Leaky SAW. IEEE Ultrasonics Symposium; Denver, CO, USA. 14–16 October 1987; Oct 19, pp. 579–582. [Google Scholar]
- 39.Goto M., Yatsuda H., Kondoh J. Numerical Analysis of Viscosity Effect on Shear Horizontal Surface Acoustic Wave for Biosensor Application. IEEJ Trans. Sens. Micromach. 2016;136:1–5. doi: 10.1541/ieejsmas.136.1. [DOI] [Google Scholar]
- 40.Tetsuya K. Ryutai No Netubusseichishuu (Thermophysical Properties of the Fluid Collection) Japan Society of Mechanical Engineers; Tokyo, Japan: 1983. [Google Scholar]
- 41.Inami E., Yamaguchi M., Yamaguchi T., Shimasaki M., Yamada T.K. Controlled Deposition Number of Organic Molecules Using Quartz Crystal Microbalance Evaluated by Scanning Tunneling Microscopy Single-Molecule-Counting. Anal. Chem. 2018;90:8954–8959. doi: 10.1021/acs.analchem.8b01118. [DOI] [PubMed] [Google Scholar]
- 42.Peng Y.-C., Cheng C.-H., Yatsuda H., Liu S.-H., Liu S.-J., Kogai T., Kuo C.-Y., Wang R.Y.L. A Novel Rapid Test to Detect Anti-SARS-CoV-2 N Protein IgG Based on Shear Horizontal Surface Acoustic Wave (SH-SAW) Diagnostics. 2021;11:1838. doi: 10.3390/diagnostics11101838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Gun J., Rizkov D., Lev O., Abouzar M.H., Poghossian A., Schöning M.J. Oxygen plasma-treated gold nanoparticle-based field-effect devices as transducer structures for bio-chemical sensing. Microchim. Acta. 2009;164:395–404. doi: 10.1007/s00604-008-0073-7. [DOI] [Google Scholar]
- 44.Zhang N., Zhang Z., Zhang Q., Wei Q., Zhang J., Tang S., Lv C., Wang Y., Zhao H., Wei F., et al. O2 plasma treated biosensor for enhancing detection sensitivity of sulfadiazine in a high-к HfO2 coated silicon nanowire array. Sens. Actuators Chem. 2020;306:127464. doi: 10.1016/j.snb.2019.127464. [DOI] [Google Scholar]
- 45.Zhang L., Mazouzi Y., Salmain M., Liedberg B., Boujday S. Antibody-Gold Nanoparticle Bioconjugates for Biosensors: Synthesis, Characterization and Selected Applications. Biosens. Bioelectron. 2020;165:112370. doi: 10.1016/j.bios.2020.112370. [DOI] [PubMed] [Google Scholar]
- 46.Arya S.K., Chornokur G., Venugopal M., Bhansali S. Dithiobis(succinimidyl propionate) modified gold microarray electrode based electrochemical immunosensor for ultrasensitive detection of cortisol. Biosens. Bioelectron. 2010;25:2296–2301. doi: 10.1016/j.bios.2010.03.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Reyes-De-Corcuera J.I., Olstad H.E., García-Torres R. Stability and Stabilization of Enzyme Biosensors: The Key to Successful Application and Commercialization. Annu. Rev. Food Sci. Technol. 2018;9:293–322. doi: 10.1146/annurev-food-030216-025713. [DOI] [PubMed] [Google Scholar]
- 48.Butzner M., Cuffee Y. Telehealth Interventions and Outcomes across Rural Communities in the United States: Narrative Review. J. Med. Internet Res. 2021;23:e29575. doi: 10.2196/29575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Shephard M., Shephard A., Matthews S., Andrewartha K. The Benefits and Challenges of Point-of-Care Testing in Rural and Remote Primary Care Settings in Australia. Arch. Pathol. Lab. Med. 2020;144:1372–1380. doi: 10.5858/arpa.2020-0105-RA. [DOI] [PubMed] [Google Scholar]
- 50.Lo X.C., Li J.Y., Lee M.T., Yao D.J. Frequency Shift of a SH-SAW Biosensor with Glutaraldehyde and 3-Aminopropyltriethoxysilane Functionalized Films for Detection of Epidermal Growth Factor. Biosensors. 2020;10:92. doi: 10.3390/bios10080092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Toma K., Miki D., Yoshimura N., Arakawa T., Yatsuda H., Mitsubayashi K. A gold nanoparticle-assisted sensitive SAW (surface acoustic wave) immunosensor with a regeneratable surface for monitoring of dust mite allergens. Sens. Actuators Chem. 2017;249:685–690. doi: 10.1016/j.snb.2017.04.073. [DOI] [Google Scholar]
- 52.NCCLS . Protocols for Determination of Limits of Detection and Limits of Quantitation; Approved Guideline. National Committee for Clinical Laboratory Standards; Wayne, PA, USA: 2004. [Google Scholar]
- 53.Wang C., Wang C., Jin D., Yu Y., Yang F., Zhang Y., Yao Q., Zhang G.-J. AuNP-Amplified Surface Acoustic Wave Sensor for the Quantification of Exosomes. ACS Sens. 2020;5:362–369. doi: 10.1021/acssensors.9b01869. [DOI] [PubMed] [Google Scholar]
- 54.Toma K., Oishi K., Kato M., Kurata K., Yoshimura N., Arakawa T., Yatsuda H., Kanamori K., Mitsubayashi K. Precipitate-enhanced SAW immunosensor for sensitive monitoring of mite allergens. Sens. Actuators Chem. 2019;296:126579. doi: 10.1016/j.snb.2019.05.056. [DOI] [Google Scholar]
- 55.Lee W., Jung J., Hahn Y.K., Kim S.K., Lee Y., Lee J., Lee T.-H., Park J.-Y., Seo H., Lee J.N., et al. A centrifugally actuated point-of-care testing system for the surface acoustic wave immunosensing of cardiac troponin I. Analyst. 2013;138:2558–2566. doi: 10.1039/c3an00182b. [DOI] [PubMed] [Google Scholar]
- 56.Lichtenberg J.Y., Ling Y., Kim S. Non-Specific Adsorption Reduction Methods in Biosensing. Sensors. 2019;19:2488. doi: 10.3390/s19112488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Rajput P., Kumar J., Mittal U., Nimal A.T., Arsenin A.V., Volkov V.S., Mishra P. Sensitivity enhancement analysis of frequency tuned-SAW resonator with temperature for sensor applications. Sens. Bio-Sens. Res. 2022;37:100509. doi: 10.1016/j.sbsr.2022.100509. [DOI] [Google Scholar]
- 58.Yatsuda H., Kogai T., Goto M., Yoshimura N. Shear-horizontal surface acoustic wave biosensors for POCT; Proceedings of the 2014 IEEE International Frequency Control Symposium (FCS); Taipei, Taiwan. 19–22 May 2014; pp. 1–4. [Google Scholar]
- 59.Dong S., Zhang D., Cui H., Huang T. ZnO/porous carbon composite from a mixed-ligand MOF for ultrasensitive electrochemical immunosensing of C-reactive protein. Sens. Actuators Chem. 2019;284:354–361. doi: 10.1016/j.snb.2018.12.150. [DOI] [Google Scholar]
- 60.Wang J., Guo J., Zhang J., Zhang W., Zhang Y. RNA aptamer-based electrochemical aptasensor for C-reactive protein detection using functionalized silica microspheres as immunoprobes. Biosens. Bioelectron. 2017;95:100–105. doi: 10.1016/j.bios.2017.04.014. [DOI] [PubMed] [Google Scholar]
- 61.Aray A., Chiavaioli F., Arjmand M., Trono C., Tombelli S., Giannetti A., Cennamo N., Soltanolkotabi M., Zeni L., Baldini F. SPR-based plastic optical fibre biosensor for the detection of C-reactive protein in serum. J. Biophotonics. 2016;9:1077–1084. doi: 10.1002/jbio.201500315. [DOI] [PubMed] [Google Scholar]
- 62.António M., Ferreira R., Vitorino R., Daniel-da-Silva A.L. A simple aptamer-based colorimetric assay for rapid detection of C-reactive protein using gold nanoparticles. Talanta. 2020;214:120868. doi: 10.1016/j.talanta.2020.120868. [DOI] [PubMed] [Google Scholar]
- 63.Byun J.Y., Shin Y.B., Kim D.M., Kim M.G. A colorimetric homogeneous immunoassay system for the C-reactive protein. Analyst. 2013;138:1538–1543. doi: 10.1039/c3an36592a. [DOI] [PubMed] [Google Scholar]
- 64.Jeng M.J., Sharma M., Li Y.C., Lu Y.C., Yu C.Y., Tsai C.L., Huang S.F., Chang L.B., Lai C.S. Surface Acoustic Wave Sensor for C-Reactive Protein Detection. Sensors. 2020;20:6640. doi: 10.3390/s20226640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kurosawa S., Nakamura M., Park J.W., Aizawa H., Yamada K., Hirata M. Evaluation of a high-affinity QCM immunosensor using antibody fragmentation and 2-methacryloyloxyethyl phosphorylcholine (MPC) polymer. Biosens. Bioelectron. 2004;20:1134–1139. doi: 10.1016/j.bios.2004.05.016. [DOI] [PubMed] [Google Scholar]
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