Glucose Sensor Research Articles

HKDC1 functions as a glucose sensor and promotes metabolic adaptation and cancer growth via interaction with PHB2.

Glucose sensing and metabolic adaptation to glucose availability in the tumor microenvironment are critical for cancer development. Here we show that HKDC1, a hexokinase highly expressed in cancer associated with poor prognosis, functions as a glucose sensor that alters its stability in response to environmental glucose. The glucose-sensing domain is located between amino acids 751-917, with Ser896 as a key residue that regulates HKDC1 stability by affecting Lys620 ubiquitination. This sensing mechanism enables cellular adaptation to glucose starvation by promoting mitochondrial fatty acid utilization. Furthermore, HKDC1 promotes tumor growth by sequestering prohibitin 2 (PHB2) to disable its suppressive effect on SP1, thus promoting the expression of pro-oncogenic molecules. Abrogation of HKDC1 by genetic knockout or by glucose depletion releases PHB2, leading to suppression of cancer cell proliferation and inhibition of tumor growth. Our study reveals a previously unrecognized role of HKDC1 in glucose sensing and metabolic adaptation, and identifies HKDC1 as a potential therapeutic target.

A Versatile Method to Create Antibody/Split‐Enzyme Complexes and Its Application to a Rapid, Homogeneous, and Universal Electrochemical Immunosensing System

AbstractIn this study, a versatile method is developed to create an antibody/split‐enzyme complex for use in electrochemical immunosensors. SpyCatchers are genetically fused at each terminus of flavin adenine dinucleotide‐dependent glucose dehydrogenase (FAD‐GDH) and a protease recognition sequence is inserted into a loop region to prepare a soluble protein and the split GDH. SpyTag‐fused single‐chain variable fragments (scFvs) are employed, which leads to the simple preparation of antibody‐split enzyme complexes (split AECs). The addition of pentameric C‐reactive protein (CRP), as a representative multimeric protein, restored the GDH activity of the split AECs, as the two split AEC fragments formed active GDH when in close proximity. CRP in human serum is electrochemically detected within 5 min without any washing steps with a clinically relevant CRP detection range (0.03–1 mg dL−1). The detection system is expanded to detect hemoglobin, SARS‐CoV‐2 spike protein, and inactivated SARS‐CoV‐2 by exchanging the scFvs. These results show that the convenient preparation method of the split GDH and the split AEC by the insertion of the protease recognition sequence and the use of SpyCatcher/SpyTag can realize a rapid, homogeneous, and universal electrochemical detection system that can be integrated into a commercially available electrochemical glucose sensor.

Pd-anchored VSe2 for glucose sensing: Prediction from first principle simulations

Accurate detection of glucose molecule is clinically important for treatment of diabetes. The sensor should efficiently detect the glucose molecule with suitable response time. The conductivity of the sensor material thus plays a vital role in fast and precise sensing. Layered vanadium di-selenide (VSe2) is a transition metal dichalcogenide (TMDC) with metallic characteristics. The current study is to portray a theoretical exhaustive investigation about enhancement in effectual detection of glucose using VSe2 decorated with transition metals (TM) such as Ag and Pd. We have performed extensive DFT simulations to relate adsorption energy of glucose with pristine and decorated VSe2. Introduction of TM to pristine VSe2 was found to increase the adsorption energy of glucose which increases the sensitivity of metal- anchored VSe2. Comprehensive partial density of states (PDOS) and total density of states (TDOS) analysis has been carried out to analyse orbital interaction and qualitative charge transfer which has also been measured using Bader charge analysis. In addition to that, permanency of the best decorated system has been verified through molecular dynamics calculation and modality of recurrent serviceability has been determined by means of recovery time estimation. This is crucial since as on today, most of the available glucose detectors are meant for single usage. Our theoretically derived findings clearly point to the prediction that TM-decorated layered VSe2 can be an efficient glucose sensor, if practically developed in forthcoming times. The obtained results will thus potentially be beneficial for experimentalists for scheming and evolving VSe2-based glucose sensors.

Facile strategy for uniform gold coating on silver nanowires embedded PDMS for soft electronics

Silver nanowires-embedded polydimethylsiloxane (AgNWs/PDMS) electrodes are promising components for various soft electronics, but face energy mismatch with organic semiconductors. Attempts at galvanic replacement, involving spontaneous gold (Au) formation on the electrodes, often result in non-uniform and particulate Au coatings, compromising device performance and stability. In this study, we introduce a novel approach for achieving a uniform and complete Au coating on AgNWs/PDMS electrodes by adding NaCl to the Au complex solution. This addition slows down the galvanic replacement process and prevents precipitation, enabling a uniform and complete Au coating on the AgNWs surface. Such coating significantly reduces contact resistance (RC), thereby enhancing the electrical characteristics of p-type organic transistors. Furthermore, the development of high-performance, fully soft organic transistors was achieved incorporating an organic semiconductor-elastomer blend. Additionally, reliable, mechanically stable soft glucose sensor was developed, taking advantage of the complete Au coating, which protects against oxidation during the glucose sensing process.

Fully Integrated Biosensing System for Dynamic Monitoring of Sweat Glucose and Real-Time pH Adjustment Based on 3D Graphene MXene Aerogel.

The development of noninvasive glucose sensors capable of continuous monitoring without restricting user mobility is crucial, particularly for managing diabetes, which demands consistent and long-term observation. Traditional sensors often face challenges with accuracy and stability that curtail their practical applications. To address these issues, we have innovatively applied a three-dimensional porous aerogel composed of Ti3C2Tx MXene and reduced graphene oxide (MX-rGO) in electrochemical sensing. It significantly reduces the electron-transfer distance between the enzyme's redox center and the electrode surface while firmly anchoring the enzyme layer to effectively prevent any leakage. Another pivotal advancement in our study is the integration of the sensor with a real-time adaptive calibration mechanism tailored specifically for analyzing sweat glucose. This sensor not only measures glucose levels but also dynamically monitors and adjusts to pH fluctuations in sweat. Such capabilities ensure the precise delivery of physiological data during physical activities, providing strong support for personalized health management.

Fabrication of a novel non-enzymatic glucose sensor based on ruthenium supported by a combination of PBA nanocubes and MOF nanosheets

The development of novel catalysts with high catalytic activity is of high importance of electrochemical non-enzymatic glucose sensing. Herein, a sensitive non-enzymatic electrochemical sensor (Ru@NiCo-MOF/NiFe-PBA) has been synthesized using a fast, simple and eco-friendly method. The high stability of PBA and the large specific surface area (two-dimensional nanosheet structure) of MOF support the excellent electrochemical performance, while the incorporation of the highly active metal Ru enhances the electrochemical activity even more. The results reveal that the sensitivities of the sensor are 1070.77 and 487.62 μA mM−1 cm−2, corresponding to linear ranges of 0.01–0.67 mM and 0.67–5.07 mM, respectively. Meanwhile, the sensor has a low detection limit (0.446 μM) and a short response time (2 s), making it a strong candidate for non-enzymatic glucose sensors. The successful detection of glucose in saliva further demonstrates its potential for practical applications. Therefore, Ru@NiCo-MOF/NiFe-PBA will make an impact in the field of glucose monitoring and detection.

Electrochemical Glucose Sensors: Classification, Catalyst Innovation, and Sampling Mode Evolution.

Glucose sensors are essential tools for monitoring blood glucose concentration in diabetic patients. In recent years, with the increasing number of individuals suffering from diabetes, blood glucose monitoring has become extremely necessary, which expedites the iteration and upgrade of glucose sensors greatly. Currently, two main types of glucose sensors are available for blood glucose testing: enzyme-based glucose sensor (EBGS) and enzyme-free glucose sensor (EFGS). For EBGS, several progresses have been made to comprehensively improve detection performance, ranging from enhancing enzyme activity, thermostability, and electron transfer properties, to introducing new materials with superior properties. For EFGS, more and more new metallic materials and their oxides are being applied to further optimize its blood glucose monitoring. Here the latest progress of electrochemical glucose sensors, their manufacturing methods, electrode materials, electrochemical parameters, and applications were summarized, the development glucose sensors with various noninvasive sampling modes were also compared.

Electrochemical non-enzymatic glucose biosensors based on Au-thiol-linked molecular architectures

In this work, an electrochemical non-enzymatic glucose sensor consisting of di-methanethiol-grafted poly (3,4-propylenedioxythiophene), gold nanoparticles (Au NPs), and reduced graphene oxide (rGO) was synthesized by a one-step method through Au-S chemisorption. The structure and morphology of the as-prepared poly (ProDOT-(MeSH)2)/Au/rGO composite were characterized by FT-IR, XRD, EDX, TEM, SEM, and XPS, and the electrochemical performance of the composite was investigated by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) on glassy carbon electrode (GCE). The results show that because of the hydrogen bond interaction between the thiol group on the polymer units and the functional groups on GO, poly (ProDOT-(MeSH)2)/Au/rGO was successfully prepared. In addition, due to the unique morphological structure of the composite and the ability to absorb glucose molecules through hydrogen bonds, the poly(ProDOT-(MeSH)2)/Au/rGO electrode possesses excellent selectivity and unique sensitivity (46.13 μA mM−1 cm−2) for sensing glucose in the linear range of 0.04–16.0 mM with a detection limit of (S/N = 3) 0.01. This paper demonstrates that the poly(ProDOT-(MeSH)2)/Au/rGO composite holds great promise for application as a new glucose sensor in life science.

High-performance ZnO:CuO composite-based fiber-shaped electrode for non-enzymatic glucose sensing in biological fluids

The growing diabetes epidemic necessitates new glucose sensors, as traditional enzyme-based and planar electrodes face limitations in environmental stability and seamless integration into wearable technology. This research tackles these issues by designing a flexible, enzyme-free glucose sensor utilizing a co-deposited ZnO:CuO (CZ) composite on PET monofilament. This approach improves the tensile strength (55 mm at 2.7 kg.f) and electrical conductance (0.32 S), of the Ni-coated PET fiber, resulting in a strong and reliable sensing platform. The electrode's enlarged electrochemical surface area (0.11 cm2), offer a high density of active sites for glucose interaction, and the synergistic interface significantly enhances both ion and charge mobility. This results in exceptional sensitivity (35.05 mA.cm−2.mM−1), a rapid response (24 s), and a low detection limit (0.15 mM). Durability tests demonstrate that the sensor retains 80% of its sensitivity after 500 bending cycles, making it well-suited for wearable applications. Furthermore, the sensor accurately detects glucose in biological samples, such as saliva, highlighting its potential for non-invasive, real-time glucose monitoring in wearable healthcare systems.

Synergistic ZnO-NiO composites for superior Fiber-Shaped Non-Enzymatic glucose sensing

The rise in diabetes requires new glucose sensors, as traditional enzyme-based and planar electrodes are sensitive to the environment and hard to integrate into wearables. This study addresses these issues by developing a flexible, non-enzymatic glucose sensor using a co-sputtered ZnO: NiO (NZ) composite on PET fiber. This design enhances the tensile strength (60 mm at 3.2 kg.f) and conductance (0.23 S) of Cu-coated PET fiber, forming a durable sensing platform. The electrode’s enhanced electrochemical surface area (0.13 cm2) offers abundant active sites for glucose interaction, while the synergistic interface effect boosts ion and charge transport, improving glucose sensing. The sensor achieves high sensitivity (28.96 mA·cm−2·mM−1), fast response time (23 s), and a low detection limit (0.25 mM), while maintaining 78 % of its sensitivity after 500 bending cycles. These features, combined with good electrochemical stability—retaining 60 % of its initial performance after prolonged electrolyte exposure—mark a significant advancement in wearable glucose monitoring.

Self-powered microfluidic-based sensor for noninvasive sweat analysis

This study introduces a novel self-powered, microfluidic sweat sensing system. The device features a flexible thermoelectric system that enables efficient on-demand sweat extraction and data transmission. Both the thermoelectric generator (TEG) and the microfluidic system are thoroughly evaluated through numerical simulations and experimental testing. The device integrates electrochemical sensors for glucose, pH, and ion detection, along with solid-liquid triboelectric nanosensors to measure sweat rate. It demonstrates high selectivity for target analytes. Sweat, extracted via iontophoresis with carbagel, interacts with electrodes coated with ion-selective membranes (ISM) and glucose oxidase, producing an open-circuit potential. This selective detection of analytes results in distinct output differences. Additionally, the device delivers stable results within 20 minutes, reducing analysis time while maintaining a strong correlation with blood biomarker concentrations. This partially flexible, noninvasive system has potential applications in monitoring electrolyte loss and glucose imbalances through sweat.

DDLA: a double deep latent autoencoder for diabetic retinopathy diagnose based on continuous glucose sensors.

The current diagnosis of diabetic retinopathy is based on fundus images and clinical experience. However, considering the ineffectiveness and non-portability of medical devices, we aimed to develop a diagnostic model for diabetic retinopathy based on glucose series data from the wearable continuous glucose monitoring system. Therefore, this study developed a novel method, i.e., double deep latent autoencoder, for exploring glycemic variability influence from multi-day glucose data for diabetic retinopathy. Specifically, the model proposed in this research could encode continuous glucose sensor data with non-continuous and variable length via the integration of a data reorganization module and a novel encoding module with fragmented-missing-wise objective function. Additionally, the model implements a double deep autoencoder, which integrated convolutional neural network, long short-term memory, to jointly capturing the inter-day and intra-day glucose latent features from glucose series. The effectiveness of the proposed model is evaluated through a cross-validation method to clinical datasets of 765 type 2 diabetes patients. The proposed method achieves the highest accuracy value (0.89), precision value (0.88), and F1 score (0.73). The results suggest that our model can be used to remotely diagnose and screen for diabetic retinopathy by learning potential features of glucose series data collected by wearable continuous glucose monitoring systems.

Interface engineering of NiCo LDH and 2D materials for advanced non-invasive glucose sensors

Interface engineering of NiCo LDH and 2D materials for advanced non-invasive glucose sensors

A Study on Cu Decorated Anodic TiO2 Nanotubes for Non-Enzymatic Glucose Sensing and Photoelectrochemical Water Splitting Application

Free-standing, surface-modified TiO2 nanotubes(TNTs) decorated with copper nanostructures have been extensively studied as promising materials for their application in biosensing and photo-electrochemical splitting of water. Here, the TNTs are prepared by electrochemical anodization followed by modification with copper nanostructures via UV-assisted photo-reduction technique. Field-emission scanning electron microscopy and X-ray diffraction studies confirmed the structural and morphological properties of the TNTs, along with their tubular architecture and mixed-phase composition of Anatase-Rutile. Energy-dispersive spectroscopic analysis verified the successful deposition of copper. Diffuse reflectance spectroscopy revealed an electronic band gap of 3.2 eV. The copper-modified TNTs showed an enhanced sensitivity in the sensing of glucose to the tune of 0.52 mA mM−1 cm−2 with a high linear range of 0.5 to 7 mM and showed superior selectivity against interferents. It was found that the modified TNTs exhibited a higher photocurrent response of 1.09 mA cm−2 compared with pristine TNTs (0.69 mA cm−2). These findings indicate the promising potential of copper-modified TNTs for continuous glucose monitoring and photo-electrochemical applications.

Optimization and Characteristics of Multimodal Binder on Polymer Nanocomposite for Lightweight Applications

The process of selecting binders is complex because it requires finding a balance between improving material performance and reducing environmental impact. This involves challenges such as achieving nanoparticle dispersion, optimizing binder compatibility, and addressing environmental concerns. The main objective of this research on use the multimodal binder optimization characterization model (M-MBOCM) analysis to understand the intricate relationship between metal oxide nanoparticles, polymer matrices, and binders. These specialized nanocomposites have a wide range of potential applications. By intelligently selecting Scanning Characterization binders (SCB), industries can enhance material properties to meet specific requirements. This applies across various fields, from high-capacity energy storage devices to lightweight structural materials and smart sensors. This research involves analyzing metal oxide nanoparticle mage polymer nanocomposites with aqueous and nonaqueous binders in manganese dioxide-based cathodes (M-BC), hybrid supercapacitors (HS), and non-enzymatic glucose sensors (NEGS). The significance of M-BC in the present investigation results is based on advanced M-MBOCM and SCB techniques. The performance analysis ratio exceeds 95%, which is higher than the reported results for M-BC, HS, and NEGS. The scalability analysis ratio for M-MBOCM and SCM is observed to be higher than others, recorded at 93% and 88% respectively. These findings demonstrate the potential for enhanced nanocomposite materials in practical applications (lightweight) and drive their development.

Bioflocculant polymer reduced CuO/NiO binary transition metal oxide nanocomposite: Application as an effective non-enzymatic glucose sensor

A bimetallic copper oxide/nickel oxide nanocomposite (CuO/NiO NCs) was synthesized via direct carbonization method by using microbial polymer as reducing agent. This nanocomposite was employed as a viable non-enzymatic electrocatalyst in the glucose detection. It was completely characterized using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and energy-dispersive X-ray spectroscopic (EDX) methods and revealed the obtained porous nanoflower morphology with particle sizes of 100–200 nm in a monoclinic face-centered cubic crystalline structure. FT-IR spectra confirmed the presence of functional groups and the purity of the nanocomposite. Electrocatalytic performance for glucose oxidation was evaluated through cyclic voltammetric (CV) and amperometric i-t techniques. The observation demonstrated that the CuO/NiO NCs exhibited a remarkable electro-oxidation activity against glucose, attributed to the synergistic effects of the bimetallic components. As an electrode surface modifier, the CuO/NiO NCs facilitated an enhanced glucose oxidation over a linear range of 1–9 mM via CV, while amperometric i-t measurements achieved a detection range from 0.04 μM to 4.86 mM in a 0.1 M NaOH (pH ∼ 13) electrolyte solution. These eco-friendly and in-expensive nanoflowers displayed excellent selectivity, stability, and reproducibility, underscoring their potential in diabetes monitoring and the subsequent scientific analysis.

A Self-Powered Enzymatic Glucose Sensor Utilizing Bimetallic Nanoparticle Composites Modified Pencil Graphite Electrodes as Cathode.

Enzymatic biofuel cells (EBFC) are promising sources of green energy owing to the benefits of using renewable biofuels, eco-friendly biocatalysts, and moderate operating conditions. In this study, a simple and effective EBFC was presented using an enzymatic composite material-based anode and a nonenzymatic bimetallic nanoparticle-based cathode respectively. The anode was constructed from a glassy carbon electrode (GCE) modified with a multi-walled carbon nanotube (MWCNT) and ferrocene (Fc) as a conductive layer coupled with the enzyme glucose oxidase (GOx) as a sensitive detection layer for glucose. A chitosan layer was also applied to the electrode as a protective layer to complete the composite anode. Chronoamperometry (CA) results show that the MWCNT-Fc-GOx/GCE electrode has a linear relationship between current and glucose concentration, which varied from 1 to 10mM. The LOD and LOQ were calculated for anode as 0.26mM and 0.87mM glucose, respectively. Also the sensitivity of the proposed sensor was calculated as 25.71 A/mM. Moreover, the studies of some potential interferants show that there is no significant interference for anode in the determination of glucose except ascorbic acid (AA), uric acid (UA), and dopamine (DA). On the other hand, the cathode consisted of a disposable pencil graphite electrode (PGE) modified with platinum-palladium bimetallic nanoparticles (Nps) which exhibit excellent conductivity and electron transfer rate for the oxygen reduction reaction (ORR). The constructed EBFC was optimized and characterized using various electroanalytical techniques. The EBFC consisting of MWCNT-Fc-GOx/GCE anode and Pt-PdNps/PGE cathode exhibits an open circuit potential of 285.0mV and a maximum power density of 32.25µWcm-2 under optimized conditions. The results show that the proposed EBFC consisting of an enzymatic composite-based anode and bimetallic nanozyme-based cathode is a unique design and a promising candidate for detecting glucose while harvesting power from glucose-containing natural or artificial fluids.

Fabrication of a graphene@Ni foam-supported silver nanoplates-PANI 3D architecture electrode for enzyme-free glucose sensing.

Reliable and cost-effective glucose sensors are in rising demand among diabetes patients. The combination of metals and conducting polymers creates a robust electrocatalyst for glucose oxidation, offering enzyme-free, high stability, and sensitivity with outstanding electrochemical results. Herein, graphene is grown on nickel foam by chemical vapor deposition to make a graphene@nickel foam scaffold (G@NF), on which silver nanoplates-polyaniline (Ag-PANI) 3D architecture is developed by sonication-assisted co-electrodeposition. The resulting binder-free 3D Ag-PANI/G@NF electrode was highly porous, as characterized by x-ray photoelectron spectroscopy, Field emission scanning electron microscope, x-ray diffractometer, FTIR, and Raman spectroscopy. The binder-free 3D Ag-PANI/G@NF electrode exhibits remarkable electrochemical efficiency with a superior electrochemical active surface area. The amperometric analysis provides excellent anti-interference performance, a low limit of deduction (0.1 nM), robust sensitivity (1.7 × 1013µA mM-1cm-2), and a good response time. Moreover, the Ag-PANI/G@NF enzyme-free sensor is utilized to observe glucose levels in human blood serums and exhibits excellent potential to become a reliable clinical glucose sensor.

Brewer's Spent Grain-Cellulose-Coated Copper Electrode-Based Extended Gate Field-Effect Transistor for Nonenzymatic Glucose Detection toward Diagnosis of Diabetes Mellitus.

The demand for environmentally friendly, reliable, and cost-effective electrodes for glucose sensor technology has become a major research area in the paradigm shift toward green electronics. In this regard, cellulose has emerged as a promising flexible biopolymer solution with unique properties such as biocompatibility, biodegradability, nontoxicity, renewability, and sustainability. Because of their large surface area and porous structure, fibrous cellulose substrates quickly adsorb and disperse analytes at detection sites. This work focuses on utilizing glyoxal-treated cellulose (derived from brewer's spent grain (BSG)) for the fabrication of extended gate field-effect transistor (EGFET)-based glucose sensors. This investigation extends to the utilization of BSG-cellulose for glucose detection in biomimicking electrolytes (phosphate buffer saline) to facilitate glucose detection in human blood samples. The fabricated electrode demonstrates a linear range of glucose detection from 1 to 13.5 mM with a Langmuir adsorption coefficient (K) of 0.102. Also, its selectivity toward glucose over interfering molecules such as sucrose, fructose, ascorbic acid, and uric acid under physiological conditions has been demonstrated. This cellulose-based EGFET electrode exhibits a sensitivity of 6.5 μA mM-1 cm-2 with a limit of detection (LOD) of 0.135 mM. Computational studies by density functional theory calculations confirmed the higher binding affinity of glucose molecules with glyoxal-modified cellulose (-0.95 eV) than with pristine cellulose (-0.46 eV). Here, the novelty lies in the fabrication of electrodes with biodegradable catalysts and their integration into the EGFET configuration.

Calibration-Free and Highly Sensitive Potentiometric Enzyme-Based Biosensors.

Enzyme-based amperometric biosensors have become popular for healthcare applications. However, they have been under constant pressure for technological innovation to improve their sensitivity and usability. An ideal biosensor has high sensitivity and calibration-free characteristics. This study aims to report enzyme-based glucose and lactate sensors that utilize a proposed "time-derivative of potential (dOCP/dt)" method, with a further aim being to prove theoretically and experimentally that dOCP/dt values are proportional to substrate concentration. High sensitivity is obtained regardless of the electrode size because the electrode potential is independent of the electrode area in the biosensor. Importantly, because the substrate diffusion determines the enzyme reaction rate on the sensors, the dOCP/dt biosensors can essentially eliminate external influences such as temperature and pH. The result is the successful realization of a biosensor that is calibration-free, making it a much more practical option.