Vinod
Morya
a,
Dhiraj
Bhatia
a,
Chinmay
Ghoroi
*b and
Amit K.
Yadav
*a
aDepartment of Biological Sciences and Engineering, Indian Institute of Technology Gandhinagar, Near Palaj, Gandhinagar 382355, Gujarat, India. E-mail: yadav.amit@iitgn.ac.in
bDepartment of Chemical Engineering, Indian Institute of Technology Gandhinagar, Near Palaj, Gandhinagar 382355, Gujarat, India. E-mail: chinmayg@iitgn.ac.in
First published on 1st May 2025
Delaminated MXenes (2D MXenes) and DNA hydrogels have created enormous opportunities due to their versatility and ability to be tailored for specific applications. 2D MXenes offer high aspect ratio morphology and electrical conductivity, while DNA provides stimuli responsiveness and specificity in binding to ligands or complementary sequences. This synergy makes DNA an ideal actuator when combined with 2D MXenes. The present work makes the first effort to integrate and exploit them for detecting the thrombin levels, a crucial proteolytic enzyme that plays a pivotal role in regulating blood clotting by cleaving fibrinogen into fibrin and plays a critical role in bleeding disorders such as haemophilia and Von Willebrand disease. This study introduces a novel hybrid DNA hydrogel by leveraging the properties of 2D MXenes with a thiol-modified thrombin-binding aptamer (TBA) as a crosslinking agent. The TBA and its complementary DNA oligos are immobilized on 2D MXene sheets, forming a packed hydrogel. Upon thrombin binding, the TBA releases its complementary DNA, resulting in a loosened hydrogel and a change in resistance, which is used as a read-out for thrombin detection. The fabricated sensor demonstrated a high sensitivity of 0.021 [MΩ (mg L−1)]−1 cm−2, with a low limit of detection (LOD) of 0.1698 mg L−1, a resolution of 6.51 mg L−1 and also a wider linear detection range (LDR) of 10–200 mg L−1 with a correlation coefficient (R2) of 0.98, indicating excellent linearity and reliability across the tested range. The concept was successfully demonstrated, achieving a relative standard deviation (RSD) of 8–10% for thrombin detection in artificial samples, indicating excellent performance. This robust technique holds promise for biomedical sensing devices, allowing customization for detecting various target molecules using specific aptamers.
Titanium carbide MXenes, first introduced by Gogotsi and colleagues in 2011, have emerged as a groundbreaking class of 2D transition metal materials.16 MXenes, as a new generation of 2D transition metal carbide, possess remarkable attributes such as a large surface area, intrinsic electrical conductivity, good hydrophilicity, low toxicity, and good biodegradability and facilitate surface modification, making them ideal for diverse applications such as in biomedicines,17 energy storage,18 sensing,19 and catalysis.20 Although MXenes exhibit remarkable properties, their exfoliated multilayer Titanium Carbide (Ti3C2) sheets often aggregate due to π–π interactions and van der Waals forces. This stacking reduces the material's accessible surface area, limiting its practical applications.21 To prevent the self-restacking of MXenes, multilayered Ti3C2 has been treated with a variety of inorganic and organic materials, including metal oxides, tetrabutylammonium hydroxide, conducting polymers, graphene, quantum dots, and metal–organic frameworks (MOFs). However, using these nanocomposites solely for delaminating Ti3C2 layers often results in limited enhancement of their electrochemical performance.22 Incorporating MXenes into polymeric network structures such as rubber composites,23 hydrogels,24 membranes,25 and aerogels26 has effectively addressed this limitation and enhanced their stability. By combining the distinct advantages of MXenes with the functional versatility of polymeric hydrogel networks, MXene-based hydrogels exhibit superior performance across a wide range of applications, particularly in hydrogel-based sensors and other innovative technologies.
Thrombin, a serine protease central to the blood coagulation cascade, is implicated in various pathological conditions, including vascular disorders, cancer, atherosclerosis, coagulation-related abnormalities, and chronic inflammation.27,28 Dysregulation of thrombin levels can have serious consequences, such as elevated levels are linked to venous thrombosis, whereas insufficient thrombin activity increases the risk of haemorrhage.29 The concentration of thrombin during coagulation fluctuates significantly, ranging from picomolar to micromolar levels, necessitating detection systems with broad dynamic ranges and extremely low limits of detection (LODs).30,31 Recent advancements have led to the development of various thrombin detection strategies such as optical sensors,32 enzyme-linked sandwich assays,33 electrochemical platforms,34 lateral flow test strips,35 and piezoelectric techniques.36 Among these, enzyme-linked assays are considered the benchmark due to their sensitivity and specificity,37 but they often involve lengthy procedures, slower turnaround times, and the potential for false positives. Lateral flow assays offer a user-friendly, low-cost alternative suitable for point-of-care (POC) applications, though they typically yield qualitative or semi-quantitative results and tend to have higher detection thresholds unless supplemented with external instrumentation.38 Electrochemical and piezoelectric systems provide excellent sensitivity and are capable of real-time monitoring, but they often require multiple steps for sample processing and signal readout.30 Similarly, optical detection methods can also involve complex, multi-step protocols, though one-step formats have been developed to streamline the process, especially for use in settings with limited resources.39 Wen et al. introduced a sandwich assay combining magnetic nanospheres for target separation with fluorescent nanospheres for signal output, achieving a 97 pM LOD within 30 minutes. However, the method entailed multiple washing and labelling steps.40 Homogeneous assays utilizing fluorescence resonance energy transfer (FRET) have emerged as label-free and sensitive alternatives, although they generally exhibit narrow linear response ranges.41 Li et al. reported a one-step assay based on DNA displacement and catalytic hairpin assembly for signal amplification, reaching an impressive LOD of 1 pM.42 While the system was sensitive, it involved a 100-minute incubation and still required post-incubation washing steps due to its intricate reaction scheme. Thus, despite considerable progress, there is still a strong demand for thrombin detection platforms that combine ultra-low detection limits with wide dynamic ranges and simplified, preferably single-step, operational protocols.
This study addresses the critical clinical demand for a compact device that monitors thrombin concentrations in biological media. We successfully developed an innovative hybrid DNA hydrogel by integrating a DNA aptamer with a 2D MXene (Ti3C2Tx). It is essential to highlight that detecting thrombin in blood plasma poses significant challenges, as its capture on the sensor surface can locally elevate its concentration, potentially activating the coagulation cascade. We have utilized a DNA aptamer as a crosslinker to facilitate the polymerization of 2D MXene sheets, resulting in a sophisticated and intricate 3D network. The MXene is crucial for providing electrical conductivity, while the aptamer is the target sensing moiety. As a proof of concept, we have designed the hybrid hydrogel to effectively detect thrombin levels in blood serum samples (Scheme S1, ESI†) using the thrombin binding aptamer (TBA). The proposed platform represents a significant advancement toward developing a portable and highly sensitive POC device for directly detecting thrombin in human blood. Notably, this study represents the first instance where a 2D MXene and DNA hybrid hydrogel was integrated to fabricate a biosensor for thrombin detection. This innovative approach leveraged the high aspect ratio and superior electrical conductivity of the 2D MXene, combined with the stimuli responsiveness and target specificity of DNA aptamers, resulting in excellent analytical performance. Furthermore, this work paves the way for the development of biosensors targeting other analytes using the 2D MXene-DNA hybrid hydrogel platform.
For the delamination of the MXene into separated 2D sheets, 0.2 g of the MXene was dispersed in dimethyl sulfoxide (DMSO) and left to shake overnight. During this process, DMSO infiltrates between the stacked layers of the MXene, facilitating separation through sonication. The MXene was then washed 3–4 times with DI water to remove any excess DMSO. The resulting sediment was resuspended in DI water and sonicated for 6 hours to obtain a colloidal delaminated MXene sheet (2D MXene) solution.
For DNA immobilization, 5 mg of APTES-functionalized 2D MXene was dispersed in 1 mL of PBS (pH 7.2) and sonicated for 5 minutes. Next, 10 μL of Sulfo-MBS solution was added and shaken for 30 minutes at RT. The mixture was then centrifuged at 10000 rpm to remove any excess Sulfo-MBS. The resulting pellet was dispersed in 200 μL of PBS, and 10 μL of Apt1 and 10 μL of Apt2 were added, followed by incubation for 30 minutes at RT. The solution was centrifuged again at 10
000 rpm to remove any unbound oligos, and the pellet was redispersed in PBS and stored at 4 °C.
EDX elemental mapping provides clear evidence of a significant reduction in the aluminium (Al) content in the MXene–DNA hydrogel (Fig. S2, ESI†), with the percentage decreasing to approximately 0.17% compared to the pristine MXene (MAX phase), which initially had a composition of around 1.54%. The observed decrease in the percentage of Al from 1.54% in the pristine MXene to 0.17% in the MXene–DNA hydrogel can be attributed to the etching and subsequent functionalization processes. In the synthesis of the MXene, Al is selectively etched out from the MAX phase using acidic or fluoride-containing solutions, leading to a significant reduction in the Al content. However, trace amounts may remain due to incomplete etching or surface residues. When the MXene is further incorporated into a DNA hydrogel matrix, the additional washing, dispersion, and crosslinking steps involved in hydrogel formation may further remove loosely bound or residual Al species. Moreover, DNA in the hydrogel may dilute the MXene content in the final composite, lowering the overall Al signal detected in the EDX analysis. The dramatic drop to 0.17% suggests successful removal of Al and efficient integration of the MXene into the hydrogel network.
The UV-Vis spectra of the three phases show the characteristic absorbance in line with the previously reported data.45 The UV-Vis absorption spectra of the three phases – MAX (black), etched MXene (red), and delaminated MXene (blue) – clearly illustrate the structural and compositional evolution throughout the synthesis process (Fig. 1(d)). The progressive changes in the UV-Vis spectra from featureless MAX to a structured MXene and then delaminated sheets are strong evidence of successful transformation. The MAX phase shows a featureless and relatively low absorption profile across the measured wavelength range. This is characteristic of its compact, metallic-like layered structure with minimal optical activity in the visible range due to the presence of the Al layer and its low surface area. Upon selective etching of the Al layer, a prominent absorption peak appears around 270–290 nm. This peak is associated with the π–π* transitions of CC bonds and indicates the formation of the Ti3C2Tx MXene, where Tx denotes surface terminations such as –OH, –O, and –F. The increase in overall absorbance suggests the emergence of surface plasmon-like behaviour due to the formation of conductive, few-layered MXene sheets. After delamination, the absorption intensity slightly decreases but maintains the characteristic peak around 270 nm, confirming the retention of the MXene structure. The broader and more defined spectral features reflect the high surface area and exfoliated nature of the 2D nanosheets. This also suggests enhanced light interaction due to better dispersion and increased availability of active surface sites. The emergence and preservation of the π–π* transition peak around 270 nm throughout the process confirm the formation and stabilization of Ti3C2Tx MXene nanosheets.
The hydrodynamic diameter measured using dynamic light scattering (DLS) shows a significant decrease in the particle size after delamination of the MXene into 2D sheets (Fig. 1(e)). The hydrodynamic diameter of the MXene was recorded at around 450 nm, while those of 2D sheets were around 250 nm. The hydrodynamic diameter measurements revealed that the size of MXene particles was approximately 400–500 nm, whereas the 2D sheets exhibited a smaller diameter of around 250–300 nm.
In the FT-IR spectrum of the 2D MXene–DNA hydrogel, distinct vibration peaks emerged, indicating the presence of new molecular interactions in comparison with the FT-IR spectrum of pure 2D MXene (Fig. 2(c)). The broad peak at 3400 cm−1 corresponds to the free –OH group, which is noticeably absent or submerged under another peak of the 2D MXene–DNA hydrogel, possibly due to the APTES binding to the –OH on the surface of the 2D MXene.50 Additionally, an increased signal at 1640 cm−1 is evident in the FT-IR spectrum of the 2D MXene–DNA hydrogel, attributed to the surface water molecules, including –OH groups in the organic part.51,52 Furthermore, a new peak emerged at 3340 cm−1 (ranging from 3350 to 3310 cm−1). This spectral addition is indicative of a secondary amine, likely due to the linkage between the free amine of APTES and sulfo-MBS.53 These distinct changes in the FTIR spectrum provide insights into the molecular interactions and compositional alterations that occurred in the 2D MXene–DNA hydrogel.
The DNA oligos are immobilized on 2D MXene sheets, creating a cohesive structure. In the absence of thrombin, Apt1 (TBA) forms a duplex with Apt2, contributing to the stability of the structure. However, when thrombin is introduced, the binding dynamics change. Apt1 dissociates from Apt2 and undergoes a conformational change, folding into a G-quadruplex structure (Fig. 3(b)). This transformation occurs due to the higher affinity of the TBA for thrombin; TBA binds to the fibrinogen-recognition site (exosite) with a dissociation constant (Kd) of ∼0.027 mg L−1 [Fig. S4, ESI†]. Consequently, the effective binding of Apt1 with thrombin leads to the disruption of the Apt1–Apt2 hybrid, causing the structure to become unstable. The formation of the G-quadruplex structure in Apt1 during thrombin binding alters the interactions with Apt2, resulting in the loss of cohesive forces that were initially responsible for maintaining the integrity of the MXene sheets. This instability is a crucial step in the process, as it enables Apt1 to specifically interact with thrombin and fulfil its intended role in detection.
In this study, the developed system is intended to measure blood thrombin levels by isolating serum from the blood. The thrombin-containing blood serum will induce physical changes while adding it to the MXene–DNA hydrogel, which could be measured using a multimeter regarding resistance (Fig. 5(a)). The physical structural changes in the developed MXene–DNA composite resulted in a change in resistance when introduced to the target molecule, thrombin. To facilitate the resistance measurement of the MXene–DNA hydrogel, we employed a Pt-printed glass electrode, as shown in Fig. 5(b). Specifically, we used a laser-printed mask made of brass to create a specific button circuit with an area of 1 cm2 (Fig. 5(c)). The Pt electrode was applied on the glass slide using the sputtering technique to form the button circuit (Fig. S1, ESI†). It is important to note that the printed circuit remains open and does not allow any current flow until a conductive liquid is dropped onto it. This conductive liquid is the MXene–DNA hydrogel containing the blood serum. Thrombin in the serum induces structural changes in the MXene–DNA composite, leading to altered resistance. By measuring the resistance changes in the hydrogel using the Pt-printed glass electrode and the multimeter set-up, we effectively gauge the thrombin levels in the blood serum.
We conducted resistance measurements using four known concentrations and plotted a calibration curve to determine the thrombin levels in unknown samples. In a healthy individual, the normal blood thrombin levels typically range from 50 to 100 mg L−1.57 To establish the calibration curve, we utilized concentrations of 10, 50, 100, and 200 mg L−1 of human blood thrombin (Fig. 6(a)). These known concentrations were reference points for relating resistance values to thrombin levels in the subsequent measurements of unknown samples. As shown in Fig. 6(a), the resistance measured using the digital multimeter (DMM) gradually decreased with increasing concentrations of target thrombin in the sample. The calibration curve allows us to assess the thrombin content in the unknown sample quantitatively. We obtained an R2 value (coefficient of determination) of approximately 0.988 upon fitting a linear regression to the four-point calibration data. The resistance response exhibits a gradual linear decline within the dynamic range of 10–200 mg L−1 with increasing thrombin concentration (mg L−1), as shown in Fig. 6(a), and corresponds to the relationship described by eqn (i).58,59
y = 0.02177 ± 0.001 MΩ {mg L−1}−1 × concentration of thrombin (mg L−1) + 4.192 ± 0.1753 MΩ, R2 = 0.988 | (i) |
Although this value is not considered ideal, it allows us to obtain reliable primary results. The R2 value of 0.988 indicates that the linear regression model captures significant variation in the data, providing a reasonably good fit for estimating thrombin concentrations within the tested range.
The fabricated sensor shows a sensitivity of 0.021 [MΩ (mg L−1)]−1 cm−2, calculated from the slope of the curve. The sensitivity of the biosensor was determined using standard eqn (ii),60i.e.:
Sensitivity = m/A | (ii) |
In addition, the results show that this biosensor exhibits a low limit of detection (LOD) of 0.1698 mg L−1, a resolution of 6.51 mg L−1 and a wider linear detection range (LDR) of 10–200 mg L−1. This capacitive biosensor demonstrated superior sensing performance compared to conventional label-free and reagentless platforms such as surface plasmon resonance (SPR), Quartz Crystal Microbalance (QCM), and Field-Effect Transistor (FET). Its enhanced efficiency stems from the simple yet effective thrombin–aptamer recognition mechanism, achieved without the need for any signal amplification strategies, as summarized in Table 1. The LOD and resolution were determined to be 0.1698 mg L−1 and 6.51 mg L−1, respectively, by applying eqn (S1) and (S2) (ESI†). The mean and standard deviation (SD) values of the blank for thrombin and ampicillin detection are given in ESI,† Tables S3 and S4, respectively.
Materials | Detection techniques | Real sample | LOD | Detection range | Ref. |
---|---|---|---|---|---|
AuNPs | Electrochemical impedance spectroscopy | Serum | 0.1 pM | 0.05–35 nM | 61 |
— | Differential pulse voltammetry | Serum | 0.14 pM | 1 pM–10 μM | 62 |
— | FET | 10% serum | 6.7 nM | 13.4–1300 nM | 63 |
M-SiO2 | Chemiluminescence | 2.2 fM | 7.5 fM–0.25 nM | 64 | |
Au NCs | Quartz crystal microbalance | 7.7 pM | 0.0086–86 nM | 65 | |
PbSNPs/AuNPs | Differential pulse anodic stripping voltammetry | — | 6.2 fM | 40–750 fM | 66 |
CdS quantum dots | Potentiometry (ISE) | — | 0.14 nM | 5–250 ppb | 67 |
AgNPs | Scattering | 1% serum | 0.1 nM | — | 68 |
FeCo-ONSs and MoS2 | Dual-signal sensing | 0.67 pM and 2.36 pM | 1.35 pM–5.4 nM and 6.75 pM–6.75 nM | 69 | |
Apt-silicaNPs | Fluorescence | 10% serum | 1.06 nM | 1.06–100 nM | 70 |
PbSNPs/AuNPs | Chemiluminescence | — | 0.1 fM | 0.2–35 fM | 71 |
Cationic polymer and AuNPs | Colorimetry | — | 1 pM | 1 pM–10 nM | 72 |
— | SPR | 10% serum | 50 nM | 50–200 nM | 73 |
— | SPR | Diluted plasma | 0.1 nM | 0.1–150 nM | 74 |
CuInS2 | Dual-signal sensing | 6.89 fM and 5.86 fM | 10 fM–10 nM | 75 | |
— | Capacitive | 50% serum | 10 pM | 10 pM–1 μM | 76 |
MXene | Resistance | Plasma | 0.1698 mg L−1 | 10–200 mg L−1 | Our work |
Moreover, we analysed an artificial sample with an unknown thrombin concentration of 60 mg L−1 during our experimentation. Using the calibration curve, we calculated the thrombin level in the sample to be 68 mg L−1 (Table S2, ESI†). This result indicates a relative standard deviation (RSD) of 8–10% and a recovery of 113.3% from the expected concentration, providing valuable insights into the accuracy and reliability of our calibration curve for thrombin detection. The Student's t-test results across various concentrations (Table S2, ESI†) indicated the absence of significant systematic errors, as the calculated |t| values were below the critical threshold |t|(critical, 2) for n = 3. Furthermore, the recovery values obtained using our method fall within the acceptable confidence range defined in Table S2 (ESI†), confirming the reliability and accuracy of the analysis.77–82
The binding affinity between the capture DNA probe and the target analyte (thrombin) was assessed using the Hanes–Woolf linearization method across varying concentrations of thrombin [Fig. S4, ESI†]. By plotting the thrombin concentration against the concentration ratio to the corresponding resistance values, the dissociation constant (Kd) was derived from the linear fit, yielding a value of 0.027 mg L−1. This low Kd indicates a strong interaction between the DNA probe and thrombin, signifying efficient hybridization. The Kd was determined using the ratio of the intercept to the slope obtained from the Hanes–Woolf plot.83–85
Selectivity plays a crucial role in assessing the performance of an aptasensor. Control experiments were conducted to evaluate the specificity of the developed aptasensor. We performed experiments using bovine serum albumin (BSA), a widely recognized model protein, to determine the system's specificity towards thrombin. The outcomes are illustrated in Fig. 6(b), with the resistance responses for the thrombin signal presented as a bar chart. Interestingly, our findings revealed no significant change in the resistance of the 2D MXene DNA hydrogel when exposed to BSA (Fig. 6(b)). This outcome indicates that the developed system exclusively responds to thrombin, reinforcing its good selectivity and specificity towards this target analyte. To demonstrate the robustness and versatility of the approach, a similar hybrid hydrogel was developed to detect ampicillin in water samples. Ampicillin is a widely used antibiotic from the penicillin class of medicine, which could be hazardous to human health if inappropriately used.86,87 An increase in resistance was observed with increasing concentrations of ampicillin, indicating a response to the target molecule with a calculated LOD for ampicillin of 0.1155 mg L−1 and a resolution of 0.0597 mg L−1. Additionally, when tested with tetracycline, the hybrid hydrogel showed specificity for ampicillin over tetracycline (Fig. S3, ESI†).
Furthermore, the system demonstrated specificity towards its target, thrombin, as evidenced by its negligible response to BSA. Our developed detection system exhibited the ability to analyze different concentrations of thrombin in artificial samples with an acceptable RSD of 8–10%. The observed deviation can be attributed to several contributing factors. Firstly, minor variability in the hydrogel fabrication process, such as slight inconsistencies in aptamer immobilization efficiency or MXene dispersion uniformity, may affect the reproducibility of the electrical response. Secondly, in complex biological matrices like human plasma, nonspecific adsorption of proteins or other charged biomolecules can interfere with the aptamer–thrombin interaction or introduce background noise in resistance measurements. Additionally, ambient temperature fluctuations and minor inconsistencies in drop-casting volumes during sensor preparation can contribute to signal variation.
To address these issues, we have taken steps to improve the reliability of the calibration process by incorporating additional standard points in the calibration curve and by implementing rigorous blank and control tests. We have also noted that increasing the washing steps post-plasma incubation significantly reduces nonspecific binding, enhancing specificity. Furthermore, we are exploring further integration of internal referencing techniques and real-time impedance monitoring to refine the sensor response's accuracy and robustness. These improvements, along with continued optimization of the hydrogel formulation and aptamer orientation, are expected to minimize variability and enhance the sensitivity and precision of the platform in future iterations.
This work establishes a proof-of-concept for a potential electronic device that can precisely sense a target analyte. Combining an MXene and DNA as a hybrid hydrogel opens up exciting opportunities for various sensing and biomedical applications, where specific conformational changes can be harnessed to develop sensitive and selective detection systems. The proposed method is straightforward and demonstrates exceptional selectivity for thrombin over other proteins. The hydrogel's unique properties enable it to serve as a cost-effective, sensitive, and efficient platform for thrombin detection. It holds great promise for potential applications in monitoring blood coagulation processes and related medical diagnostics. This highly configurable system allows for various applications in sensing and other fields.
TBA | Thrombin binding aptamer |
SELEX | Systematic evolution of ligands by exponential enrichment |
CNTs | Carbon nanotubes |
ELISA | Enzyme-linked immunosorbent assay |
BSA | Bovine serum albumin |
EtBr | Ethidium bromide |
TEMED | Tetramethyl ethylenediamine |
TAE | Tris–acetate–EDTA |
HF | Hydrofluoric acid |
MCE | Mixed cellulose ester |
DMSO | Dimethyl sulfoxide |
EMSA | Electrophoretic mobility shift assay |
PAGE | Polyacrylamide gel electrophoresis |
Footnote |
† Electronic supplementary information (ESI) available: Table S1: sequence of oligos used in the study; Scheme S1: depiction of the proposed thrombin detection setup with the MXene–DNA hybrid hydrogel. Fig. S1: schematic representation of the setup for sputtering to develop the Pt printed glass electrode with a mask; Fig. S2: energy dispersive X-ray (EDX) elemental mapping of (a) MXene and (b) the MXene–DNA complex; Fig. S3: detection of the ampicillin concentration; Fig. S4: Hanes–Woolf plot between [Thrombin conc.] and [Thrombin conc./change in resistance] for kd value determination; Table S2: quantification of thrombin in unknown samples; equation for the limit of detection (LOD) and resolution calculation; Table S3: mean and standard deviation (SD) values for thrombin detection; and Table S4: mean and standard deviation (SD) values for ampicillin detection. See DOI: https://doi.org/10.1039/d5tb00487j |
This journal is © The Royal Society of Chemistry 2025 |