Ajoy
Mandal
a,
Suman
Mandal
a,
Samik
Mallik
b,
Sovanlal
Mondal
b,
Subhendu Sekhar
Bag
c and
Dipak K.
Goswami
*ab
aOrganic Electronics Laboratory, Department of Physics, Indian Institute of Technology Kharagpur, Kharagpur – 721302, India. E-mail: dipak@phy.iitkgp.ac.in
bSchool of Nanoscience and Technology, Indian Institute of Technology Kharagpur, Kharagpur – 721302, India
cBioorganic Chemistry Laboratory, Department of Chemistry, Indian Institute of Technology Guwahati, Guwahati –781039, India
First published on 13th December 2023
Nanowire-based field-effect transistors (FETs) are widely used to detect biomolecules precisely. However, the fabrication of such devices involves complex integration procedures of nanowires into the device and most are not easily scalable. In this work, we report a straightforward fabrication approach that utilizes the grain boundaries of the semiconducting film of organic FETs to fabricate biosensors for the detection of human serum albumin (HSA) with an enhanced sensitivity and detection range. We used trichromophoric pentapeptide (TPyAlaDo-Leu-ArTAA-Leu-TPyAlaDo, TPP) as a receptor molecule to precisely estimate the concentration of HSA protein in human blood. Bi-layer semiconductors (pentacene and TPP) were used to fabricate the OFET, where the pentacene molecule acted as a conducting channel and TPP acted as a receptor molecule. This approach of engineering the diffusion of receptor molecules into the grain boundaries is crucial in developing OFET-based HSA protein sensors, which cover a considerable detection range from 1 pM to 1 mM in a single device. The point-of-care detection in unspiked blood samples was confirmed at 4.2 g dL−1, which is similar to 4.1 g dL−1 measured using a pathological procedure.
The quantitative determination of HSA is crucial in clinical diagnosis to predict various health parameters. HSA is the most abundant protein that takes up about 50% of the total plasma protein produced in the liver.18 It plays several pivotal roles in the human body, such as maintaining the oncotic pressure and carrying hormones, fatty acids, thyroxin, and metabolites.19 The standard reference level of HSA is about 3.5–5.5 g dL−1 in blood plasma.18–20 However, this concentration can be much lower in urine (∼2.2–35 × 10−4 g dL−1) and in saliva (∼0.05 g dL−1).21–27 An unusual concentration of HSA may lead to various diseases, such as hyperalbuminemia, hypoalbuminemia, liver diseases, nephrosis, cardiovascular diseases, and even type-2 diabetes mellitus.23,24 Therefore, the estimation of HSA level with high accuracy and precision covering the range from ultra-low (∼10−9 g dL−1) to few g dL−1 is essential for various clinical diagnoses at point-of-care (POC). Several methods have been applied to quantitatively estimate HSA levels from blood samples or different buffer media. Such methods include high-performance liquid chromatography (HPLC),28 fluorescence-based sensors,29–33 colorimetric methods,34 and electrochemical methods.35,36 However, many of these techniques have a limited detection range are mostly used in clinical laboratories, and are not suitable for POC application. Therefore, real-time, low-cost, yet low-voltage consuming biosensors will be necessary for such diagnostics. OFETs have drawn much attention to the development of biosensors due to the decisive advantage of tailoring the organic material to adjust its properties to sense a specific biological analyte.37 Nevertheless, it is easier to miniaturize OFET-based sensors to fit into measuring electronics by enabling easy scalability. Being transistors, OFETs can also amplify the sensing signal within the device to enhance detection sensitivity. However, enhancing sensitivity and detection range in OFET-based sensors is also challenging. We have demonstrated a new methodology for the fabrication of low-voltage, ultra-precession OFET-based biosensors to detect HSA protein in the blood samples.
In this article, we report the fabrication of OFET-based low-voltage, ultra-precession biosensors for the detection of HSA protein from blood samples covering a detection range from ultra-low (∼1 pM, 6.60 × 10−9 g dL−1) to a high concentration (∼1 mM, 6.6 g dL−1). We synthesized a TPP with selective binding with HSA protein as a sensing material. We achieved exceptional sensitivity to detect 1 pM by covering a range of up to 1 mM in a single device.
In the second step, we optimized the TPP film growth on a 20 nm pentacene-based OFET. We spin-coated different films of TPP molecules on a glass substrate by varying the RPM (rotation per minute) of the spin-coater system. The surface morphology of the TPP film (5000 rpm) on the pentacene film is shown in Fig. 1e. The UV-vis spectra of different TPP films (5000 rpm, 4000 rpm, 3000 rpm, 1500 rpm, and 500 rpm) are shown in Fig. S4a.† The optical band gap extracted using a Tauc plot is around 3.12 eV (Fig. S4b†). Due to the high optical band gap, the TPP molecule showed poor conductivity. Although we tried to fabricate transistors only using this molecule, it did not work. Due to its high bio-recognizing properties to albumin protein, the TPP molecule was spin-coated on the standard pentacene-based OFET and the device was used for the bio-sensing application. Maintaining a better crystallinity of the pentacene film coated with the TPP film is essential for a higher device current. Charge transport through OFETs works in the accumulation mode at the semiconductor/dielectric interface. Therefore, the device current flows through the interface of the pentacene and dielectric (h-BTO) layers. The degradation of crystallinity of the pentacene film is limited to the thin film phase for the TPP film grown at higher RPM. Therefore, thin TPP film grown at a higher RPM would be better to achieve a higher device current. We developed OFETs with various TPP-coated pentacene channels. We observed that the field-effect carrier mobility for the OFETs decreases sharply up to the 4000 rpm-coated TPP film, and after that, it gets saturated (Fig. S4c†).
The reduction in carrier mobility is due to the structural degradation of the pentacene film caused by the penetration of TPP molecules in the grain boundaries. However, the diffusion of TPP molecules gets saturated in the 4000 RPM-coated film. As a result, the carrier mobility is saturated in the film coated at lower RPM. Nevertheless, 5000 RPM-coated TPP film-based devices showed better device performances with carrier mobility of 0.055 cm2 V−1 s−1 and a threshold voltage of −0.75 V. As the TPP molecules are not soluble in water, it is expected that the penetration of the water molecules through the TPP film into the device is not favourable. Therefore, TPP molecules present in the film may protect the device from possible damage from water.
Fig. 2a represents the typical design of the OFET-based sensors used to detect HSA protein. Besides, we used a bilayer dielectric system, which included 15 nm Al2O3 and 60 nm hexagonal BaTiO3 (h-BTO) layers. h-BTO is a high dielectric constant material and has been used to reduce the operating voltage of OFETs to less than 2V.38 TPP molecules get easy access to the pentacene/BTO interface by diffusing through grain boundaries. Therefore, TPP molecules can efficiently influence the drain current of OFETs during the sensing of HSA protein. Consequently, it is expected that the sensitivity of detection of HSA protein using TTP molecules will be much higher in this design of sensor fabrication.
The typical output and transfer characteristic curves of bilayer OFET are shown in Fig. 2b and c. Charge injection from the source to the semiconductor channel may be affected due to the presence of TPP molecules at the interface. However, we did not observe any kink or double slope in the transfer characteristics, confirming a better charge injection from the contact into the channel.36 The OFETs are operated at less than 2 V bias voltage. To test the performance of the sensors, we continuously monitored the drain current of the device biased at a constant voltage with VGS = VDS = –2 V after dropping 10 μl of buffer DI water in the channel region. A sharp increase in the drain current was observed, as shown in Fig. 2d. Such a sudden increase in drain current is explained in terms of surface conductivity due to the electrolysis of water.37 The amount of current depends on the volume of the water placed.39 However, soon the drain current gets saturated at a higher current. Once the current is stable, the second drop of HSA protein is added to the water droplet. The drain current further shoots up once the second drop is added. However, when TPP starts binding with HSA molecules present in the solution, the drain current is modified depending on the concentration of HSA protein present in the solution.
The stability of the sensors was tested under different conditions. As the sensors work under a buffer medium, we checked the device current in the buffer medium. There are two components of the device current under the buffer medium. Besides current due to the surface conductivity, the second part of the device current is the drain current flowing from the source to the drain via the semiconductor/dielectric interfaces. However, the drain current is dominated over the surface current in the presence of water or saline as we observed that the relative changes in transfer curves under these conditions were minimal, as shown in Fig. 3a and b. These results confirm that sensors were still working under the buffer media. We have also checked the stability of the device for one year. Fig. S5a† represents the transfer curve of the fresh device and the estimated mobility was 0.055 cm2 V−1 s−1. Fig. S5b† represents the transfer curve of the same device after one year and the estimated mobility was 0.013 cm2 V−1 s−1. The observed change in carrier mobility could be due to the degradation of TPP molecules over time. However, the reported sensing results are from freshly fabricated devices.
There are more than 20 proteins existing in human plasma. However, the most abundant proteins consisting of 99% of total plasma protein in human serum are albumin (HSA), immunoglobulin G (IgG), and fibrinogen. In this study, we demonstrated the sensing of albumin and IgG from human serum. Besides, we also checked the sensing responses of lysozyme and RNase as non-blood proteins to confirm the sensors' selectivity. TPP was used to sense bovine serum albumin (BSA) protein by the fluorescence method.12 We used two different buffer media (e.g., DI water and saline), where the analyte molecules were dispersed before dropping onto the sensors. Initially, we dropped 10 μl of DI water on the sensing region of the OFET, which was under constant bias with VGS = VDS = −2 V. As we added various concentrations of HSA solutions ranging from 1 pM to 1 mM to the existing water droplets, we monitored the relative changes in the normalised device current. We used different devices for sensing each concentration of HSA. To quantify the relative changes in the response current, we considered the normalised device current (IP/IW), where IW and IP are the saturated currents after adding the water drop and HSA protein to the water drop, respectively. The normalized current responses for different concentrations of HSA are shown in Fig. 4a. It is observed that the normalized saturated device currents decrease with the increase of the HSA concentration.
The probe TPP is an aromatic triazolo amino acid scaffolded trichromophoric fluorescent pentapetide adopted β-sheet conformation wherein the scaffold (ArTAA, Fig. S3†) itself is a chromophore. The fluorescent triazolylpyrene (TPy) unnatural amino acids (TPyAlaDo) are other two chromophores attached to the N-and C-terminus, respectively, of the scaffold via an intervening natural amino acid, leucine BocNH-TPyAlaDo-Leu-ArTAADo-Leu-TPyAlaDo-CONMe(OMe). TPP is known as a “dual door entry to excimer emission” probe exhibiting a Förster Resonance Energy Transfer (FRET) mediated excimer emission at 470 nm via the π-stacked excited state complex formation among the two-terminal TPyAlaDo when it absorbs light of 290 nm. The FRET occurs from the scaffold amino acid ArTAA to TPyAlaDo to afford the excimer emission along with a monomer emission at 410 nm. The peptide was found to interact strongly with BSA, placing it in the hydrophobic pocket involved in hydrophobic and π–π-stacking interactions.12 Most effectively, the TPy moieties of the terminal amino acids TPyAlaDo got accommodated in the hydrophobic pocket of BSA, forming excimer and leaving aside the peptide chain on the surface. As the amount of BSA increased, π–π-stacked excited state complex formation between two TPy was hindered. The isothermal titration calorimetry indicated mostly an exothermic binding process for site II with a free energy change of −5.6 kcal mol−1. Spectroscopic evidence and molecular docking calculation suggested the close proximity of TPy of TPP and tryptophan-134 of BSA. They remained surrounded by other hydrophobic amino acids of the hydrophobic pocket of subdomain IB of site I of BSA. All the results suggested that both the hydrophobic as well as electrostatic interactions played an important role in the BSA–TPP interaction process. BSA and HSA proteins are 76% similar proteins. In this work, the detection of HSA protein was studied by considering similar interactions of BSA and TPP molecules in the devices.
With this experimental report and the 76% sequence homology between HSA and BSA, it is quite obvious that the similar interaction between TPP and HSA plays a crucial role in reducing the mobile charge density and hence, decreasing the current with the increasing amount of added HSA. We defined the responsivity of the sensors as ΔRN = (IW − IP)/IW typically calculated after the 60 s of dropping the HSA solution, as marked by the dashed line in Fig. 4a. The log–log variation of ΔRN with the concentration of HSA protein ranging from 1 pM to 1 mM is plotted in Fig. 4b and was used as a calibration curve. This shows a power law variation with the exponent 0.15 ± 0.02. The limit of detection (LOD) for the sensors is 1 pM, which is the lowest concentration we could measure. We also carried out similar experiments with saline as a buffer in place of DI water to detect HSA. The results are shown in Fig. 4c. The corresponding responsivity is defined as ΔRN = (IS − IP)/IS, with IS as saturated device current in the saline buffer. The results are shown in Fig. 4d. We again observed power law variation with the exponent 0.09 ± 0.03. The limit of detection in the case of saline buffer was around 100 pM. The inset of Fig. 4d displays the enlarged part of the calibration curve around mM concentrations. A comparison of various reported sensors for the detection of HSA is listed in Table S1.† It confirmed that the sensitivity of detection of HSA protein is much higher in water than in saline. This is also reflected in the lower value of the exponent as measured in the case of saline.
We studied the sensing response of IgG, lysozyme, and RNase with varying concentrations from 1 mM to 1 nM, as shown in Fig. 4e. We followed the same sensing procedure as used in the case of HSA protein sensing. Similar responses were observed for lysozyme, IgG, and RNase. However, we observed over 50% more responsivity for HSA in the higher concentration range than the other proteins. As the protein concentration decreases, the responsivity for all other proteins decreases significantly than HSA up to 1 nM concentration. This observation revealed the enhanced selectivity of TPP as a sensing material for the detection of HSA protein. To emphasize the role of the TPP film on sensing proteins, we also checked the responses of only pentacene-based OFETs without TPP films for sensing proteins and observed no significant responses (Fig. S7†). In order to check if there is any migration of Au materials from contacts to the channel in the presence of water or saline during sensing measurement, we carried out an EDAX experiment on the channel. No significant Au signal was observed on the channel confirming no damage to the contact during the measurement (Fig. S7†).
In order to explore the point-of-face usability of the sensors, we measured the HSA concentration directly from human blood plasma. Various concentrations of HSA from 100 μM to 10 nM were prepared by diluting blood plasma and the concentration of albumin in each solution was tested by the standard method used in the pathological laboratory. Additionally, we also measured the concentration by these sensors. To compare the responses, we carried out the testing of the same concentration of only HSA protein samples prepared by diluting HSA protein in DI water. A comparison of these two sets of results is shown in Fig. 4f. It is interesting to observe that the results collected from these sensors are comparable within the error bar with the results obtained using the standard pathological laboratory. The observations confirmed that the performance of the OFETs-based sensors developed by engineering the grain boundaries is on par with that of the standard methodology used for HSA detection in the pathological laboratory. Our method of developing biosensors will be attractive for commercial applications at POC.
We tested these sensors for the detection of HSA concentration directly from real blood samples without further processing. Blood samples were collected from a healthy person and the blood albumin level was tested using our OFET-based sensors three times. In these sensing experiments, we used saline as the buffer medium in place of DI water and followed the same experimental procedure as described above. We observed that the normalized average responses (ΔRN = (IS − IP)/IS) was around 0.714 (taken 60 seconds after the addition of blood), which corresponded to 4.2 ± 0.02 g dL−1 of the albumin concentration according to the calibration curve shown in Fig. 4d. The normalized device current for the blood samples tested in three different devices is shown in the supplementary Fig. S8.† The albumin concentration of the same blood sample was also measured from the pathological laboratory and the value obtained was around 4.1 g dL−1. The albumin concentration calculated using our protocol is about 2.5% higher than the value obtained from the standard clinical methods. The relatively higher value obtained in our method may be due to the presence of IgG (the second most abundant plasma protein in the blood) as we observed a non-zero response from IgG up to 10 nM concentration, as shown in Fig. 4e. Nevertheless, we typically have about ±5% error in the detection carried out using clinical methods used in the pathological laboratories. This confirmed that the sensors are suitable for the detection of HSA protein concentration directly from the blood samples, and it does not require any further sample preparation for post-blood collection.
Understanding the Debye length is essential for optimizing the design and performance of the electrochemical sensors, especially those that operate in solutions with varying ionic strengths. For 10 μL of human blood dissolved in 10 μL saline at 27 °C with an ionic concentration of 150 mM, the device has a Debye length, λD = 0.69 nm; and the same for saline at 27 °C with an ionic concentration of 30 mM, Debye length, λD = 1.5 nm.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3na00564j |
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