Monitoring Of Glucose Concentration Research Articles

Enhanced sensing performance of flexible non-enzymatic electrochemical glucose sensors using hollow Fe3O4 nanospheres of controllable morphologies

Rapid and accurate monitoring of glucose concentration is of great significance in clinical diagnosis and treatment of diabetes and hence, it is necessary to develop glucose sensors of superior electro-catalytic capacity. Most literature utilize synergistic effect of nanocomposites to enhance glucose sensing performance, whereas it suffers from crucial restriction in physical and chemical characteristics of each constituents. Morphology of nanostructures significantly affects the electro-catalytic capacity, thus it is a novel route to improve glucose sensing performance to adjust morphology of nanostructures. Herein, we presented highly sensitive non-enzymatic electrochemical sensors for rapid and accurate glucose analysis with hollow Fe3O4 nanospheres (Fe3O4NSs) of controllable morphologies decorated on flexible fibers. The morphologies of the Fe3O4NSs were evaluated with quantitative parameters like diameter, roundness, roughness, skewness, and kurtosis acquired from SEM images and image processing algorithms, and their effect on the interfacial characteristics and the electro-catalytic capacity of the glucose sensors was investigated. Owing to the unique spherical nanostructures and superior catalysis, the Fe3O4NSs exhibit desirable solid/liquid interface for mass diffusion and abundant active sites for sufficient oxidation of glucose. Moreover, much rounder and rougher Fe3O4NSs of near Gaussian surface are readily produced at a higher Fe3+ concentration and result in favorable sensing performance. Accordingly, the optimal glucose sensor shows sensitivities of 96.1 ± 5.4 μA mM−1 cm−2 and 38.2 ± 2.2 μA mM−1 cm−2 over a preferable range of 0–18.0 mM, and a lower detection limit of 19.2 μM. Besides, the glucose sensors remain acceptable response after continuous testing for 20 times and repetitive bending for 50 times, and display superior selectivity to glucose and accurate analysis to practical samples. It is a facile and effective methodology to regulate the morphologies of the Fe3O4NSs for enhanced electro-catalytic capacity of glucose sensors.

Controlled synthesized of ternary Cu-Co-Ni-S sulfides nanoporous network structure on carbon fiber paper: a superior catalytic electrode for highly-sensitive glucose sensing

BackgroundEfficient monitoring of glucose concentration in the human body necessitates the utilization of electrochemically active sensing materials in nonenzymatic glucose sensors. However, prevailing limitations such as intricate fabrication processes, lower sensitivity, and instability impede their practical application. Herein, ternary Cu-Co-Ni-S sulfides nanoporous network structure was synthesized on carbon fiber paper (CP) by an ultrafast, facile, and controllable technique through on-step cyclic voltammetry, serving as a superior self-supporting catalytic electrode for the high-performance glucose sensor.ResultsThe direct growth of free-standing Cu-Co-Ni-S on the interconnected three-dimensional (3D) network of CP boosted the active site of the composites, improved ion diffusion kinetics, and significantly promoted the electron transfer rate. The multiple oxidation states and synergistic effects among Co, Ni, Cu, and S further promoted glucose electrooxidation. The well-architected Cu-Co-Ni-S/CP presented exceptional electrocatalytic properties for glucose with satisfied linearity of a broad range from 0.3 to 16,000 μM and high sensitivity of 6829 μA mM− 1 cm− 2. Furthermore, the novel sensor demonstrated excellent selectivity and storage stability, which could successfully evaluate the glucose levels in human serum. Notably, the novel Cu-Co-Ni-S/CP showed favorable biocompatibility, proving its potential for in vivo glucose monitoring.ConclusionThe proposed 3D hierarchical morphology self-supported electrode sensor, which demonstrates appealing analysis behavior for glucose electrooxidation, holds great promise for the next generation of high-performance glucose sensors.

Advancements in Glucose Monitoring: A Thin Film ZnO-Nanoflakes Based Highly Sensitive Wearable Biosensor for Noninvasive Sweat-Based Point-of-Care Monitoring for Diabetes

In the contemporary global landscape, diabetes is a concerning presence that contributes to noteworthy mortality rates. The etiology of this condition involves a subtle interaction between insulin deficiency and elevated blood sugar levels. Against this backdrop, the necessity for prompt, accurate, and continuous noninvasive monitoring of glucose concentrations becomes notably evident. The electrochemical flexible glucose biosensor was fabricated by immobilizing glucose oxidase (GOx) on ZnO nanoflakes, possessing a 20nm thickness, and synthesized on an Au-coated stretchable PET film. The sensitivity of the flexible biosensor was determined by 29.97μA/decade/cm², and the minimum detection limit was 1μM. The coefficient of determination was 97.76%, which is significantly linear.

Fabrication of Multiple-Channel Electrochemical Microneedle Electrode Array via Separated Functionalization and Assembly Method.

Real-time monitoring of physiological indicators inside the body is pivotal for contemporary diagnostics and treatments. Implantable electrodes can not only track specific biomarkers but also facilitate therapeutic interventions. By modifying biometric components, implantable electrodes enable in situ metabolite detection in living tissues, notably beneficial in invasive glucose monitoring, which effectively alleviates the self-blood-glucose-managing burden for patients. However, the development of implantable electrochemical electrodes, especially multi-channel sensing devices, still faces challenges: (1) The complexity of direct preparation hinders functionalized or multi-parameter sensing on a small scale. (2) The fine structure of individual electrodes results in low spatial resolution for sensor functionalization. (3) There is limited conductivity due to simple device structures and weakly conductive electrode materials (such as silicon or polymers). To address these challenges, we developed multiple-channel electrochemical microneedle electrode arrays (MCEMEAs) via a separated functionalization and assembly process. Two-dimensional microneedle (2dMN)-based and one-dimensional microneedle (1dMN)-based electrodes were prepared by laser patterning, which were then modified as sensing electrodes by electrochemical deposition and glucose oxidase decoration to achieve separated functionalization and reduce mutual interference. The electrodes were then assembled into 2dMN- and 1dMN-based multi-channel electrochemical arrays (MCEAs), respectively, to avoid damaging functionalized coatings. In vitro and in vivo results demonstrated that the as-prepared MCEAs exhibit excellent transdermal capability, detection sensitivity, selectivity, and reproducibility, which was capable of real-time, in situ glucose concentration monitoring.

Implementation of perioperative blood glucose monitoring and insulin infusion protocol can decrease postoperative infection rate in diabetic patients undergoing elective craniotomy: An observational study

BackgroundSevere perioperative hyperglycemia (SH) is a proven risk factor for postoperative complications after craniotomy. To reduce this risk, it has been proposed to implement the standardized clinical protocol for scheduled perioperative blood glucose concentration (BGC) monitoring. This would be followed by intravenous (IV) insulin infusion to keep BGC below 180 mg/dl in the perioperative period. The aim of this prospective observational study was to assess the impact of this type of protocol on the postoperative infection rate in patients undergoing elective craniotomy. MethodsA total of 42 patients were prospectively enrolled in the study. Protocol included scheduled BGC monitoring in the perioperative period and rapid-acting insulin IV infusion when intraoperative SH was detected. The diagnosis of infection (wound, pulmonary, blood stream, urinary tract infection or central nervous system infection) was established according to CDC criteria within the first postoperative week. A previously enrolled group of patients with sporadic BGC monitoring and subcutaneous insulin injections for SH management was used as a control group. ResultsAn infectious complication (i.e., pneumonia) was diagnosed only in one patient (2 %) in the prospective group. In comparison with the control group, a decrease in the risk of postoperative infection was statistically significant with OR = 0.08 [0.009 – 0.72] (p = 0.02). Implementation of the perioperative BGC monitoring and the correction protocol prevented both severe hyperglycemia and hypoglycemia with BGC < 70 mg/dl. ConclusionScheduled BGC monitoring and the use of low-dose insulin infusion protocol can decrease the postoperative infection rate in patients undergoing elective craniotomy. Future studies are needed to prove the causality of the implementation of such a protocol with an improved outcome.

Self-powered biosensing sutures for real-time wound monitoring

Effective wound management has the potential to reduce both the duration and cost of wound healing. However, traditional methods often rely on direct observation or complex and expensive biological testing to monitor and evaluate the invasive damage caused by wound healing, which can be time-consuming. Biosensors offer the advantage of precise and real-time monitoring, but existing devices are not suitable for integration with sensitive wound tissue due to their external dimensions. Here, we have designed a self-powered biosensing suture (SPBS) based on biofuel cells to accurately monitor glucose concentration at the wound site and promote wound healing. The anode of the SPBS consists of carbon nanotubes-modified carbon fibers, tetrathiafulvalene (TTF), and glucose oxidase (GOx), while the cathode is composed of Ag2O and carbon nanotubes modified nanotubes modified carbon fibers. It was observed that SPBS exhibited excellent physical and chemical stability in vitro. Regardless of different bending degrees or pH values, the maximum power density of SPBS remained above 92%, which is conducive to long-term dynamic evaluation. Furthermore, the voltage generated by SPBS reflects blood glucose concentration, and measurements at wound sites are consistent with those obtained using a commercially available blood glucose meter. SPBS achieves the healing effect of traditional medical sutures after complete healing within 14 days. It offers valuable insights for intelligent devices dedicated to real-time wound monitoring.

A wearable sensor device based on screen-printed chip with biofuel cell-driven electrochromic display for noninvasive monitoring of glucose concentration

Wearable flexible sensor devices have the characteristics of lightweight and miniaturization. Currently, power supply and detection components limit the portability of wearable flexible sensor devices. Meanwhile, conventional liquid electrolytes are unsuitable for the integration of sensing devices. To address these constraints, wearable biofuel cells and flexible electrochromic displays have been introduced, which can improve integration with other devices, safety, and color-coded display data. Meanwhile, electrode chips prepared through screen printing technology can further improve portability. In this work, a wearable sensor device with screen-printed chips was constructed and used for non-invasive detection of glucose. Agarose gel electrolytes doped with PDA-CNTs were prepared, and the mechanical strength and moisture retention were significantly improved compared with traditional gel electrolytes. Glucose in interstitial fluid was non-invasive extracted to the skin surface using reverse iontophoresis. As a biofuel for wearable biofuel cells, glucose drives self-powered sensor and electrochromic display to produce color change, allowing for visually measurement of glucose levels in body fluids. Accurate detection results can be visualized by reading the RGB value with a cell phone.

MOF-based Sensing Materials for Non-enzymatic Glucose Sensors

&lt;p&gt;Diabetes mellitus is one of the common chronic diseases, seriously threating to human health. The continuous monitoring of blood glucose concentration can effectively prevent diabetic diseases. The sensing performance of glucose non-enzymatic sensors is mainly determined by working electrode materials. Metal–organic frameworks (MOFs) are recognized as promising candidate for glucose sensor application, due to its large surface areas, ordered porous structure and nearly infinite designability. In this review, the sensing performance, research progress and future challenge of non-enzymatic glucose sensors based on MOF-based materials in recent years are presented. We hope that this review would provide valuable technology guidance for high performance non-enzymatic glucose sensors based on MOFs.&lt;/p&gt;

Highly sensitive blood glucose monitoring sensor with adjustable resonant frequency based on MP-CSRR

In this paper, a multi parallel CSRR (MP-CSRR) sensor for non-invasive blood glucose monitoring is introduced. The sensor divides six CSRR units into two parallel circuits, forming 2 × 3 CSRR matrix to expand the sensing area of the sensor. This sensor can adjust the resonant frequency of the sensor itself by adjusting the spacing between the horizontal or vertical CSRR units. In this paper, the sensor is achieved a resonance frequency of 2.5–3.5 GHz after loading glucose solution. When the concentration of the solution changes, the resonance frequency and S21 depth of the resonator changes with the dielectric parameters of the solution. Thus, non-invasive monitoring of glucose concentration is achieved. The variation relationship between resonant frequency and CSRR unit spacing and the feasibility of using it for solution detection are verified through simulation. The experimental results are showed that the resonant frequency sensitivity of the sensor is 9.59 × 10−2 MHz/(mg/dL), and the |S21| sensitivity is 7.47 × 10−3 dB/(mg/dL).

Non-contact monitoring of glucose concentration and pH by integration of wearable and implantable hydrogel sensors with optical coherence tomography.

Optical coherence tomography (OCT) is a noninvasive imaging technique with large penetration depth into the tissue, but limited chemical specificity. By incorporating functional co-monomers, hydrogels can be designed to respond to specific molecules and undergo reversible volume changes. In this study, we present implantable and wearable biocompatible hydrogel sensors combined with OCT to monitor their thickness change as a tool for continuous and real-time monitoring of glucose concentration and pH. The results demonstrate the potential of combining hydrogel biosensors with OCT for non-contact continuous in-vivo monitoring of physiological parameters.

Highly sensitive and stable glucose sensing using N-type conducting polymer based organic electrochemical transistor

Glucose sensors have emerged as indispensable tools in monitoring glucose concentrations, enabling individuals to take proactive measures in managing their health effectively. Organic electrochemical transistors (OECTs) have emerged as promising platforms for glucose sensing, offering inherent advantages, such as stability in aqueous environments, low operating voltage requirements, and remarkable sensitivity. In this study, we present the development of an OECT-based glucose sensor using a N-type conducting polymer poly(benzimidazobenzophenanthroline) (BBL) as the active layer. BBL exhibited high performance and stability in an aqueous electrolyte, making it an ideal candidate for glucose sensing applications. By incorporating ferrocene (FC) as an electron mediator and immobilizing glucose oxidase (GOx) on the gate electrode, we achieved remarkable sensitivity and linearity within the glucose concentration range relevant to typical blood sugar levels. Stability tests revealed consistent performance over multiple cycles and continuous stressing, indicating the sensor's long-term stability and reliability. Additionally, we investigated the role of FC through electrochemical absorption and Raman shift spectra, providing insights into the glucose sensing mechanism. Moreover, the glucose sensor demonstrated promising performance on a flexible PET substrate, highlighting its versatility for practical applications in glucose sensing and beyond.

931. Host PFKFB3-dependent glycolytic reprogramming as a broad-spectrum antiviral strategy

Abstract Background The current therapeutic arsenal against viral infections remains poor, with limited spectrum of coverage and appears inadequate to face the emergence of pandemic and antiviral resistance. This study aims to develop a broad-spectrum antiviral strategy for rapid epidemic control and early treatment with better clinical outcome. Methods To investigate the in vivo change of glucose homeostasis under infectious circumstances, we carried out a time-course monitoring of blood glucose concentration in pdmH1N1-infected BALB/c mice and revealed that impairment of glucose tolerance and insulin sensitivity were caused when compared with the mock-infection control. To explore the change of gene expression file upon virus infection, we first plotted the pdmH1N1 virus replication kinetics in human primary bronchial/tracheal epithelial cells (hBTECs), followed by mRNA gene expression profiling of the key glycolytic enzymes at 0hpi, 6hpi and 24hpi, respectively. To discover potential enzymatic inhibitors/modulators of host glycolysis for antiviral treatment, we screened a small molecular compound library with 344 glycolysis compounds on pdmH1N1 infected hTBECs, followed by secondary validation to confirm the dose-dependent virus inhibition at non-toxic concentrations. Results Significant higher blood glucose level was detected in infected-mice with either glucose or insulin supplement, which suggested that host glucose metabolism, in particular the glycolysis homeostasis, were disrupted upon influenza virus infection. We also identified Glucose transporter 4 (GLUT4), enolase 2 (ENO2), monocarboxylate transporter 2 (MCT2), MCT4 and 6-phosphofructo-2-kinase (PFK2, also named PFKFB3) the most perturbed genes at 24hpi. KAN0438757, a potent and selective inhibitor of the metabolic kinase PFKFB3, was shown to be antiviral effective against both H1N1 and EV-A71 viruses in human primary cells. Moreover, Kan exhibited broad-spectrum antiviral activity in ZIKV-infected Huh7 cells and SARS-CoV-2 infected Caco-2 cells. Metabolic profiling reveals significant perturbations of host glucose homeostasis after influenza A virus infection. Conclusion Host PFKFB3-dependent glycolysis pathway with broad-relevance to multiple virus replications, which might be a vulnerable host target for antiviral intervention. Disclosures All Authors: No reported disclosures

Helical Microfilament‐Electrode‐Based Semi‐Implantable Biosensors for In Vivo Electrochemical Detection

Semi‐implantable devices have shown potential for real‐time sensing of physiological information in vivo. For glucose detection in diabetes, semi‐implantable electrodes have the ability to measure glucose concentration directly from interstitial fluid (ISF) with high accuracy and continuous monitoring performance. However, electrochemical detection by the amperometric method is limited by the electrode size, which can restrict signal magnitude and sensitivity of the implantable microfilament electrode. To address this limitation, a semi‐implantable helical microfilament‐based glucose electrode (HMGE) is developed. The helical structure of the HMGE enhances the electrochemical sensing area, while the coating with carbon nanotube and poly(3,4‐ethylene‐dioxythiophene): polystyrene sulfonate provides an electron‐transfer interface for electrochemical sensing. The HMGE exhibits high selectivity and sensitivity for glucose detection. Through in vitro experiments, the sensitivity of HMGE is improved by about 7 times compared with that of the non‐helical structure. In in vivo studies in rats, it is demonstrated that HMGE system can continuously monitor glucose concentration changes in ISF with reasonable accuracy after signal calibrations. Furthermore, a circuit‐sensing system and smartphone application are developed to support the operation of HMGE system as a phenotype. The HMGE presents a promising semi‐implantable device for monitoring various electrolytes, metabolites, and biochemical signals in vivo.

Glucose Concentration Monitoring Using Microstrip Spurline Sensor

Abstract This article reports a microstrip spurline sensor for glucose concentration monitoring. The microstrip spurline sensor is a low-cost and easy-to-fabricate device that uses printed circuit board (PCB) technology. It consists of a combination of four spurlines and transmission lines. The four spurlines are used to reject unwanted frequencies, while the transmission lines allow the desired frequencies to pass through. The resonance frequency (Fr) and reflection coefficient (S11) were recorded through meticulous simulations and experiments over a frequency range from 1.5 GHz to 4 GHz. In addition, the sensor was used to detect changes in glucose concentration, ranging from 0 mg/dL to 150 mg/dL. The findings of this study show that the antenna-based sensor proposed in this research can effectively measure glucose levels across the diabetes range, from hypoglycemia to normoglycemia to hyperglycemia, with a high degree of sensitivity of 7.82 x 10−3 dB/(mg/dL) and 233.33 kHz/(mg/dL).

Microwave substrate integrated waveguide resonator sensor for non-invasive monitoring of blood glucose concentration: Low cost and painless tool for diabetics

In this study, a microwave resonant sensor with an operation frequency of 9 GHz and a quality factor of 240 has been designed, fabricated and tested by fingertips of the users to control blood glucose levels. The proposed method includes the implementation of a band-pass filter in the substrate integrated waveguide cavity, which has been carried out using a modified split ring resonator. In this research, 4 volunteers with glucose level changes ranging from 92 to 141 mg dL−1 have been tested invasive (by a glucometer) and non-invasive (by the designed sensor). For this range of glucose level changes, the frequency detection resolution is 7.67 MHz (mg dL−1)−1.

Noninvasive Method for Measuring the Blood Glucose Level Using a Narrow Band Microstrip Antenna

In this paper, a narrowband and compact antenna resonating at 6.1 GHz with a peak realized gain of 3.3 dBi is proposed to monitor the glucose concentration in the blood without taking invasive blood samples. The proposed antenna is fabricated using a low-cost FR-4 substrate with compact dimensions of 30 mm × 30 mm × 1.6 mm. The impedance bandwidth of this antenna ranges from 5.2 to 7.1 GHz. For measuring blood glucose levels, a human finger phantom model with dimensions of 15 mm × 12 mm × 10 mm is constructed using the EM simulation (HFSS) environment. The finger phantom consists of different layers such as skin, fat, muscle, blood, and bone modeled at 6.1 GHz using various dielectric materials for various glucose concentrations. The finger phantom model is placed at different locations around the antenna to measure the frequency shift for monitoring glucose concentration in blood samples. The proposed finger phantom model is validated by conducting an experimental study by placing a real human finger around the fabricated antenna and measuring the frequency shift. This study shows a very good agreement with the results obtained by the simulated phantom model. The advantages and outperformance of the proposed sensor are highlighted in terms of the sensitivity obtained and compared with other techniques given in the literature.

Highly accurate multimodal monitoring of lactate and urea in sweat by soft epidermal optofluidics with single-band Raman scattering

The shifting paradigm in clinical practice to remote healthcare underscores the need to develop novel biosensing modalities to rapidly and continuously assess digital and metabolic biomarkers. Sweat is a rich, heterogeneous biofluid that provides broad insights from the underlying dynamic metabolic activity of human physiology and enables new unobtrusive ways to monitor health status continuously. However, eccrine sweat is a relatively unexplored body fluid and has scant use in clinical practices. Here, we introduce a novel, easy-to-fabricate skin-interfaced sweat collection epidermal microfluidics, which enables multimodal analysis coupled with spontaneous Raman scattering. The introduced wearable optofluidic patch is soft, fully flexible, can robustly interface with the skin without inducing chemical or physical irritation, and has minimal optical interfaces to the spectra of the analytes. The proposed detection approach by Raman scattering provides label-free chemical fingerprint information, enabling quantitative optical biosensing with high sensitivity and selectivity. As a great advantage, the proposed epidermal optofluidics and optical biosensing technique require neither plasmonic surface fabrication for surface Raman enhancement nor bulky ultrashort-pulsed lasers for coherent Raman enhancement, which are typically acquired for increasing Raman signal intensity and sensitivity of quantitative Raman analysis. Moreover, the developed system enables simultaneous sweat glucose, lactate, and urea concentration monitoring. Furthermore, we show that biomolecule concentration monitoring with only one Raman shift simplifies spectroscopies instrumentation complexities and eliminates the requirement of advanced data processing methods to analyze the entire Raman spectra. Therefore, the proposed “single-band Raman analysis” coupled with developed epidermal optofluidics (epioptofluidics) shows accurate, repeatable, and stable sweat biomolecule analysis and proposes instrument down-scale and miniaturization possibilities.

Ultra-thin 2D bimetallic MOF nanosheets for highly sensitive and stable detection of glucose in sweat for dancer

The measurement of glucose concentration in sweat is expected to replace the existing blood glucose detection, which realize the effective way of non-invasive monitoring of human glucose concentration in dancing. High precision glucose detection can be achieved by adjusting the electrode material of the sensor. Thus, in this work, the bimetallic organic frameworks (bi-MOFs) materials containing Mn and Ni ions (NiMn-MOF) with ultrathin nanosheets have been exquisitely designed. The ultrathin nanosheet and heterogeneous metal ions in the structure optimize the electronic structure, which improves the electrical conductivity of MOFs. The success of the preparation strategy leads the good electrocatalytic performance of NiMn-MOF for glucose detection. Detailedly, NiMn-MOF shows high sensitivity of 1576 μA mM−1 cm−2 in the linear range from 0 to 0.205 mM and the wide linear region of 0.255–2.655 mM and 3.655–5.655 mM were also observed. In addition, the high repeatability, reproductivity, long-term stability and ultra-low limited of detection (LOD, 0.28 μM, S/N = 3) provide foundation for the practical sensor application of this NiMn-MOF nanosheets. Remarkably, as designed NiMn-MOF sensor can accurately measure glucose in sweat showing great potential in the field of wearable glucose monitoring during dancing.

Hydrophobicity Regulation of Energy Acceptors Confined in Mesoporous Silica Enabled Reversible Activation of Optogenetics for Closed-Loop Glycemic Control.

Optogenetics-based synthetic biology holds great promise as a cell-based therapy strategy for many clinical incurable diseases; however, precise control over genetic expression strength and timing through disease state-related closed-loop regulation remains a challenge due to the lack of reversible probes to indicate real-time metabolite fluctuations. Here, based on a novel mechanism of analyte-induced hydrophobicity regulation of energy acceptors confined in mesoporous silica, we developed a smart hydrogel platform comprising glucose reversible responsive upconversion nanoprobes and optogenetic engineered cells, in which the upconverted blue light strength was adaptively tuned through blood glucose levels to control optogenetic expressions for insulin secretion. The intelligent hydrogel system enabled convenient maintenance of glycemic homeostasis through simple near-infrared illuminations without any additional glucose concentration monitoring, which efficiently avoided genetic overexpression-induced hypoglycemia. This proof-of-concept strategy efficiently combines diagnostics with optogenetics-based synthetic biology for mellitus therapy, opening up a new avenue for nano-optogenetics.

Highly Sensitive and Flexible Copper Oxide/Graphene Non‐Enzymatic Glucose Sensor by Laser Direct Writing

AbstractAccurate and convenient detection of human blood glucose levels is an effective method for early diagnosis of diabetes and prevention of complications. The flexible and wearable electrochemical glucose sensor with low cost, fast responsiveness, good stability, reliability, and high sensitivity has attracted much attention in monitoring glucose concentration. The preparation of a conductive layer with catalytic activity on a flexible substrate is the key to making a wearable glucose sensor. Here, graphene composite materials sintered with copper oxide (CuO) nanoparticles are successfully prepared on a polyimide film by laser direct writing method and fabricated a flexible non‐enzymatic glucose sensor using laser‐engraved graphene (LEG) as a conductive electrode. The CuO/LEG sensor exhibits a high sensitivity of 619.43 μA mm−1 cm−2 in 0–3 mm glucose and 462.96 μA mm−1 cm−2 in 0–8 mm glucose. In addition, the CuO/LEG sensor shows good reproducibility, high anti‐interference capability, and long‐term stability. It also presents good bending stability, which can maintain 82.40% initial current after 100 times bending. Moreover, the CuO/LEG sensor has an obvious step‐ampere response in the detection of sweat samples, indicating the great potential of wearable sweat sensors.