136 results about "Glucose detection" patented technology

The invention relates to the technical field of biomedical sensing and health monitoring, and discloses a noninvasive glucose detection system. The system comprises an interstitial fluid extraction device, a photoelectric sensing module and a main control circuit which are integrated on a flexible substrate. The interstitial fluid extraction device drives subcutaneous interstitial fluid to migrate to the hydrogel interface layer under the action of reverse ion electroosmosis; the photoelectric sensing module receives interstitial fluid through a hydrogel interface layer, a working electrode of the photoelectric sensing module comprises a Cu monatomic imprinting recognition layer, and imprinting holes formed by Cu monatomic sites are specifically coordinated with glucose molecules. The master control circuit controls sampling and determines the glucose concentration based on the photocurrent signal. Noninvasive sampling and monatomic imprinting photoelectric detection are fused, sampling-detection integration is achieved, and the device has the advantages of being noninvasive, painless, high in selectivity, high in interference resistance, comfortable to wear and the like and is suitable for continuous monitoring of blood glucose.

The invention relates to the field of nano-enzymes, in particular to a nano-enzyme, a preparation method and a method for detecting glucose by using the nano-enzyme. The nano-enzyme comprises a carrier and platinum nano-particles coated on the surface of the carrier, and the carrier is oxidized nano-diamond particles with the particle size of 20-30 nm. The core structure of the nano-enzyme, namely a composite system of the carrier and the platinum nano-particles, is defined, the platinum nano-particles serve as a metal nano-material with excellent catalytic performance and are a core component for simulating peroxidase activity, the size of the oxidized nano-diamond carrier is controlled to be 20-30 nm, the dispersity of the material is guaranteed, and the catalytic activity of peroxidase is improved. And the catalytic efficiency of the composite system can be further improved through a size effect. According to the structural design, the problems of insufficient catalytic activity and poor stability of a single nano material are solved through the synergistic effect of the carrier and the load component, and a material foundation is laid for subsequent efficient glucose detection.

The invention discloses a glucometer high-precision detection method based on a dynamic calibration algorithm and a glucometer, and relates to the field of blood glucose detection.The method comprises the steps that modal decomposition is conducted on a blood glucose current signal, the blood glucose current signal is decomposed into a plurality of frequency components, and an effective physiological component and an interference component are separated from the frequency components; performing time sequence feature extraction on the effective physiological component to obtain feature parameters at multiple moments, and performing correlation analysis on the feature parameters at the multiple moments, the environment temperature and the tissue impedance parameter to obtain a fusion feature vector; inputting the fusion feature vector into a parameter calibration model, and outputting a preliminary blood glucose value; a temperature correction coefficient is calculated according to the deviation between the environment temperature and the preset reference temperature, the initial blood glucose value is dynamically adjusted according to the temperature correction coefficient, and a final blood glucose detection value is obtained. By implementing the method, the detection accuracy of the glucometer can be improved.

The invention relates to the technical field of medical detection equipment, and particularly provides a wearable sweat glucose detection system which comprises a sweat collecting and conveying unit which is provided with a sweat inlet and a sweat flow channel which are communicated with each other and is used for collecting and conveying sweat secreted by skin; the electric signal acquisition unit is arranged on the sweat flow channel, comprises a counter electrode, a working electrode and a reference electrode which are sequentially arranged along the flowing direction of sweat in the sweat flow channel, and is used for acquiring a real-time electric signal related to the glucose concentration; the working electrode comprises a porous alloy structure layer composed of platinum and nickel and a glucose oxidase layer located on the surface of the porous alloy structure layer; the signal processing unit is used for acquiring the real-time glucose concentration according to the real-time electric signal and a preset change curve of the electric signal about the glucose concentration; the system can effectively improve the sensitivity of glucose concentration detection and reduce the dosage of precious metal.

The application discloses a kind of glucose oxidase sensors based on modified multi-walled carbon nanotube modification, it is related to glucose oxidase sensor technical field, including the following steps: (1) modified multi-walled carbon nanotube preparation;(2) glassy carbon electrode is carried out surface polishing treatment;(3) obtain modified multi-walled carbon nanotube dispersion;(4) obtain glucose oxidase liquid;(5) glucose glucose oxidase liquid impregnation electrode;(6) using Nafion solution covers electrode;The sensor obtained after the electrode is modified by introducing modified multi-walled carbon nanotube in the application, not only has higher glucose detection sensitivity, but also has excellent stability.

This invention discloses an Au / CeO2-BTC nanozyme based on strong metal-support interactions and its application in electrochemical glucose detection. The nanozyme uses a Ce-BTC metal-organic framework as a precursor, which is calcined to obtain a porous CeO2-BTC support rich in oxygen vacancies. Gold nanoparticles are then loaded onto the support via in-situ deposition. The product forms Au-O-Ce interfacial active sites and exhibits significant strong metal-support interactions, enabling electronic regulation and enhancing CeO2-support electrochemical detection. 3+ The content is increased and the charge transfer rate is accelerated. The electrode modified with this Au / CeO2-BTC nanozyme exhibits excellent catalytic performance for glucose oxidation, with a sensitivity of 41.3 μA·cm. ‑2 ·mM ‑1 The detection limit is as low as 4.75 μM, and it exhibits good reproducibility, stability, and selectivity.

The embodiment of the invention provides a manufacturing method of a test paper connector, the test paper connector and a glucometer, and relates to the field of blood glucose detection. The manufacturing method of the test paper connector comprises the following steps: adjusting the height h of the pin of the test paper seat plug-in device to be lower than the height H of the positioning column; mounting a test paper holder plug-in device and a bottom surface component on the PCB; performing reflow soldering on the test paper holder plug-in device and the bottom surface component; and mounting a top surface component on the top surface of the PCB. According to the manufacturing method disclosed by the embodiment of the invention, the sizes of the positioning columns and the pins of the test paper seat plug-in device are adjusted, the pins are prevented from scraping a steel mesh, the test paper seat plug-in device is mounted in the jacks when the components on the bottom surface of the PCB are mounted, and then reflow soldering is performed together, so that the test paper seat plug-in device does not need to be manually post-welded, the operation step of manual welding is omitted, and the production efficiency is improved. One mounting operation procedure is reduced, the production efficiency can be improved, and the production cost is reduced. The embodiment of the invention also provides a test paper connector and a glucometer.

The utility model discloses an intelligent blood glucose detection timing device system based on environment triggering, which can realize a matching function of multiple mechanisms of environment perception, timing verification and manual triggering through a triple triggering mechanism of automatic triggering timing, timing matching of time of a meal ordering system and manual coverage timing in a dining environment. In cooperation with a reminding assembly and an execution confirmation module, the dining time of a patient can be accurately recorded to accurately remind the patient, the missing of a blood glucose detection window period is avoided, the accuracy of a detection result is improved, operation is convenient and efficient, closed-loop verification exists in a detection execution link, execution effectiveness is ensured, and the detection efficiency is improved. A dining record and a corresponding detection record may also be generated. According to the technical scheme, the reminding device is characterized by comprising a notice board, a trigger button, a timing module and a reminding assembly and further comprising an execution confirmation module and an information butt joint piece, the information butt joint piece is carried by medical staff, and when the information butt joint piece is connected with the execution confirmation module, operation of the reminding assembly is stopped.

The invention relates to the technical field of intelligent diabetes treatment instruments, in particular to a closed-loop non-invasive insulin detection and precise infusion system which is characterized by comprising a blood glucose monitoring regulator, a non-invasive injector and a closed-loop control mechanism. The closed-loop control mechanism comprises a real-time blood glucose detection module, a temperature detection module, a blood glucose data processing module, a dose decision module, an injection pressure adjusting module, an injection channel control module, an insulin injection module and a closed-loop feedback module; noninvasive and high-sensitivity real-time blood glucose monitoring is achieved, the accuracy and timeliness of insulin administration are improved through trend prediction and individualized dose decision, meanwhile, multi-nozzle array piezoelectric needleless injection is combined with temperature compensation pressure regulation and a closed loop feedback correction mechanism, local tissue burden is effectively reduced, and the insulin administration efficiency is improved. And through multiple safety protection and wireless data transmission, remote monitoring and intelligent management are realized, so that the convenience, accuracy and reliability of blood glucose management of diabetic patients are greatly improved.

This invention pertains to the field of glucose detection and discloses a copper-based MOF nanofiber membrane, its preparation method, and its application. The copper-based MOF nanofiber membrane is prepared by a method comprising the following steps: (1) adding a polyvinyl alcohol solution to a copper acetate solution to form a spinning solution; (2) electrospinning the spinning solution to obtain a copper-based nanofiber membrane; (3) calcining the copper-based nanofiber membrane in an air atmosphere to obtain a copper oxide fiber membrane; (4) mixing the copper oxide fiber membrane with an organic ligand, adding a solvent, and performing a hydrothermal reaction to obtain a copper-based MOF nanofiber membrane. The copper-based MOF nanofiber membrane prepared by this invention, as an electrode material for an enzyme-free glucose sensor, can improve conductivity, sensitivity, and anti-interference performance. Furthermore, the preparation method is simple and can be mass-produced.

Detection of anomalous computing environment behavior using glucose is described. An anomaly detection system receives glucose measurements and event records during a first time period. Missing events that are missing from the event records during the first time period are identified by processing the glucose measurements using an event engine simulator. An anomaly detection model is generated based on the missing events during the first time period. Subsequently, the anomaly detection system receives additional glucose measurements and additional event records during a second time period. Missing events that are missing from the additional event records during the second time period are identified by processing the additional glucose measurements using the event engine simulator. Anomalous behavior is detected if the identified missing events that are missing from the event records during the second time period are outside a predicted range of missing events of the anomaly detection model.

The application provides a glucose detection test strip and a preparation method and application thereof. The preparation method of the glucose detection test strip comprises the following steps: taking copper sulfate pentahydrate, a phosphate buffer solution, glucose oxidase and horseradish peroxidase, mixing uniformly to obtain an enzyme-containing mixed solution; immersing a test strip in the enzyme-containing mixed solution, and obtaining an organic-inorganic hybrid nanoflower loaded test strip after reaction; immersing the organic-inorganic hybrid nanoflower loaded test strip in a mixed solution containing a chromogenic agent, a gel, bovine serum albumin and polyethylene glycol to obtain a glucose detection test strip. The preparation method of the glucose detection test strip has higher sensitivity and shorter response time.

The utility model relates to the technical field of blood glucose detection auxiliary devices, and discloses a blood glucose detection disc for clinical nursing of the endocrinology department, which comprises a tray, a storage drawer is arranged at the front end in the tray, and limiting structures for conveniently limiting the storage drawer and a cleaning drawer are arranged at the front end and the rear end of two sides of the tray. According to the blood glucose detection disc for clinical nursing of the endocrinology department, by arranging a connecting plate, a supporting rod, a limiting rod, a fixing block, a spring and a limiting sliding groove, when a storage drawer and a cleaning drawer need to be limited and fixed, the supporting rod is rotated downwards, so that the connecting plate is not fixed; the springs enable the limiting rods to rebound to the two sides of one ends of the storage drawer and the cleaning drawer through the elasticity of the springs, so that the storage drawer and the cleaning drawer can be limited and fixed, the storage drawer and the cleaning drawer are prevented from sliding accidentally, and the problem that the drawers for containing materials and tools are inconvenient to limit and fix is solved. And the drawer is easy to open accidentally.

The invention belongs to the technical field of advanced materials and glucose detection, and relates to a 2D-MOF and MXene composite material, a printing type enzyme-free glucose sensor as well as a preparation method and application of the printing type enzyme-free glucose sensor. The preparation method of the composite material comprises the following steps: carrying out amination modification treatment on the MXene material; the MXene material subjected to amination modification treatment, nickel salt, BPY, TCPP and PVP are added into a mixed solvent of ethyl alcohol and DMF to be evenly mixed, and then a solvothermal reaction is conducted. The composite material has high catalytic activity, excellent conductivity and good dispersity, can be firmly attached to a flexible substrate, is high in stability, and can realize rapid and repetitive detection of glucose. The material can be prepared into conductive ink with good rheological property, is suitable for a printing process, can be used for preparing a wearable enzyme-free glucose sensor with high sensitivity and interference resistance, and has large-scale low-cost production potential.

The application discloses an integrated automatic blood-squeezing peripheral blood glucose detection device, which comprises a host computer (1) and a detachably connected disposable sterile integrated core (2). The disposable sterile integrated core (2) comprises a microneedle assembly (4), an elastic squeezing structure (3) arranged around the microneedle assembly (4), a blood glucose detection test paper (6), a capillary blood guiding channel (5) and an electrode contact (7). When the microneedle assembly (4) completes skin puncture, the elastic squeezing structure (3) applies synchronous micro mechanical squeezing force to the tissue around the blood sampling site, so that blood seeps out and is automatically transported to the blood glucose detection test paper (6) through the capillary blood guiding channel (5). The blood glucose detection test paper (6) is internally integrated in the disposable sterile integrated core (2), and the electrode contact (7) is used for electrical connection with the host computer (1). The application realizes the integration of blood sampling, automatic blood squeezing, blood guiding and detection by using a pure mechanical structure, and does not need manual blood squeezing and manual sample adding. The application has the advantages of simple structure, low cost, simple operation, safety and sanitation, and is suitable for rapid blood glucose detection in family and hospital scenes.

The invention relates to a Na-doped nickel-based phosphate / graphene composite material, an enzyme-free glucose electrochemical sensor, a preparation method and application of the Na-doped nickel-based phosphate / graphene composite material and the enzyme-free glucose electrochemical sensor in glucose detection, and solves the technical problems that an existing enzyme-free glucose sensor prepared on the basis of Ni salt is low in detection sensitivity and slow in response speed. The preparation method comprises the following steps: firstly, sequentially adding nickel salt, sodium salt and phosphate into a graphene dispersion liquid to form a mixed solution, then carrying out hydrothermal reaction on the mixed solution, and then carrying out calcination post-treatment. The method can meet the requirements on rapid and accurate detection of glucose in the fields of clinical diabetes diagnosis, food detection and the like, and has a wide application prospect.

The present application belongs to the technical field of medical health monitoring, and relates to a non-invasive blood glucose detection method based on reinforcement learning and multi-modal dynamic weight fusion. The method comprises: based on a reinforcement learning network, performing adaptive dynamic weight distribution on the weights of ECG signals and PPG signals, optimizing signal processing parameters, and confirming whether a threshold value is triggered for adjustment; performing weighted feature fusion on the ECG signals and PPG signals to obtain a fusion feature vector; inputting the fusion feature vector into a prediction and early warning double-branch output structure, wherein the prediction and early warning double-branch output structure comprises a regression branch and a classification branch, the regression branch is used for continuous prediction of blood glucose values, and finally outputs a single blood glucose concentration value; the classification branch is used for early warning level determination, and finally outputs a graded alarm for the continuous prediction result, so as to complete non-invasive blood glucose detection. The beneficial effects are that the fluctuation influence of user motion and temperature on non-invasive blood glucose data acquisition is reduced, and the individual difference adaptability and long-term stability of non-invasive blood glucose detection are improved.

The present application relates to the technical field of pattern recognition, in particular to a blood glucose detection region selection method based on blood perfusion imaging, comprising collecting continuous laser speckle original images of a to-be-detected skin region and a peripheral pulse wave signal of a subject, and constructing a bottom layer data matrix. The image sequence is converted into a perfusion contrast evolution sequence by calculating the ratio of the standard discrete degree and the average brightness of the pixel intensity in the three-dimensional data block. Frequency locking operation is performed using the main frequency of the pulse wave to separate out the perfusion fluctuation component synchronized with the heart beat rhythm, and the phase lag distribution map of each pixel point is determined through cross-correlation time delay analysis. The tissue damping coefficient of each pixel point is obtained by combining the tissue viscoelasticity kinetic damping model inversion, and the pixel set in the target response interval is screened and clustered according to the mapping relationship between the blood glucose concentration and the damping coefficient to determine the blood glucose detection target region. The present application realizes the locking of the detection region through tissue damping characteristic inversion and clustering screening.

The invention relates to the technical field of blood glucose detection, and particularly discloses a blood glucose monitoring method based on the content of glucose in saliva, which comprises the following steps: contacting a pretreated sample with a monitoring system, and connecting with an electrochemical workstation through the monitoring system, setting the working potential of the monitoring system through an electrochemical workstation, collecting the electric signal change of the monitoring system, and calculating the glucose content in the saliva according to the electric signal change so as to deduce the blood glucose level; and the monitoring system comprises a Ni5P4-FeP / Ti electrocatalyst. By adopting the technical scheme, the saliva pH environment can be met, the detection limit and precision meet the accurate glucose detection requirement, and the detection operation is simple.

Blood Group and Glucose Detection Device

The invention discloses a noninvasive blood glucose detection device based on multi-signal feature fusion, which comprises a host and an acquisition probe, and multiple signals comprise a photoacoustic signal and a photoelectric plethysmography (PPG) signal. By performing quality evaluation on the collected PPG signal, the optimal action position of the incident laser on the human body is positioned, so that the laser energy is concentrated in a blood vessel area, and the stability and repeatability of photoacoustic detection are improved. Meanwhile, feature extraction and fusion are performed on the photoacoustic signals and the PPG signals, and a blood glucose prediction regression model is established by utilizing a machine learning algorithm, so that the precision and reliability of noninvasive blood glucose detection are improved.

The invention discloses an electrochemical sensor for monitoring the glucose content of fish in real time and application of the electrochemical sensor, and belongs to the field of electrochemistry. The sensor comprises a three-electrode system consisting of a working electrode, a reference electrode and a counter electrode, the working electrode takes a platinum-iridium alloy wire as a substrate, the surface of the working electrode is coated with a composite membrane consisting of a carbon nanotube and naphthol, and glucose oxidase is fixed on the composite membrane through physical adsorption and chemical crosslinking. The glucose detection sensitivity of the sensor is higher than 0.215 nA / mmol.L <-1 >, the response speed is high, the stability is good, the anti-interference capability is high, and the sensor has very high correlation with the detection result of a glucometer. According to the invention, real-time in-vivo monitoring of the fish glucose content is realized, and powerful technical support is provided for green and sustainable development of aquaculture.

A method for preparing an MOF-based glucose detection system, wherein a Zeolitic Imidazolate Framework (ZIF) is used as a metal-organic framework, and glucose oxidase (GOx) is loaded in the zeolitic imidazolate framework. The preparation method comprises the following steps: S1: adding water to a reaction flask in advance, and then sequentially adding a metal ion, an enzyme and an organic ligand in a molar ratio of 100-1500:1-10:1-150, and 0.1-0.5% (by weight) of ammonia water to the reaction flask, S2: mixing and reacting same at room temperature for more than 6 hours, and S3: after centrifugation by means of a centrifuge, removing the supernatant to obtain a solid precipitate of the Gox-MOF material loaded with glucose oxidase. A sensor for detecting trace glucose concentration in saliva, and an oral glucose meter comprising the sensor.

The invention belongs to the field of blood glucose detection, and relates to a high-sensitivity blood glucose noninvasive detection method and system based on polarized terahertz photoacoustic, which combines the advantages of terahertz wave band detection and photoacoustic detection, fully utilizes the chiral characteristics of glucose molecules, and adopts polarized terahertz photoacoustic to detect the blood glucose concentration. Polarization optical rotation change information is extracted through the time domain photoacoustic signal; by selecting the characteristic absorption wave band of glucose and utilizing the difference between glucose and other blood components in chiral characteristics, the influence of water and other high-concentration ions on terahertz signals is remarkably reduced, so that the selectivity and the anti-interference capability of blood glucose detection are effectively improved; terahertz non-ionizing radiation is adopted as an excitation source, no ionizing injury risk is caused to a human body, and the device is suitable for long-term repeated detection and is expected to be popularized and applied in wearable or bedside monitoring equipment.

The embodiment of the present application relates to a blood glucose prediction method and device combining a big data model and a personalized model, the method comprising: training a big data blood glucose prediction model; receiving a first collection data set of a specified object; updating a personalized database according to the first collection data set when the first data type is a label type; if the updating is successful, counting the total number of personalized data records to generate a first total number; if the first total number is greater than or equal to a first threshold value, screening personalized data calibration records; if the first total number is equal to a second threshold value, training a personalized blood glucose prediction model; when the first data type is a prediction type, counting the total number of personalized data records to generate a second total number; if the second total number is less than the second threshold value, predicting based on the big data blood glucose prediction model; and if the second total number is equal to the second threshold value, combining the big data and the personalized blood glucose prediction model to perform personalized blood glucose prediction. The present application can avoid the inconvenience caused by invasive blood glucose detection.

The invention discloses a noninvasive blood glucose detection device and method. The noninvasive blood glucose detection device comprises a radar transmitter, a radar receiver, a data acquisition module, a blind source separation module, a feature extraction module and a blood glucose evaluation module, a broadband radio frequency modulation signal emitted by the radar transmitter irradiates a certain human tissue, a reflected radio frequency signal is received by the radar receiver and then is converted into an analog baseband signal, and the analog baseband signal is sampled by the data acquisition module and then is converted into a digital signal. After the electromagnetic waves are transmitted to the blind source separation module for noise filtering, interference removal and data enhancement processing, feature information of the electromagnetic waves in the subcutaneous tissue blood transmission process is extracted, and then blood glucose concentration information is obtained through machine learning according to the feature information. When the device is used for measuring blood glucose, test paper or a reagent is not needed, and low detection cost, zero pollution, comfort and no feeling are realized.

The invention discloses a wearable sensor-minimally invasive diabetes monitoring patch and a preparation method thereof, and belongs to the technical field of biomedicine, the patch comprises a microneedle array module and a sensing unit; the microneedle array module is composed of a plurality of microneedles arranged in an array; the sensing unit is loaded in the microneedle, and the sensing unit comprises a multi-shell metal organic framework cascade enzyme system and a chromogenic substrate; the multi-shell metal organic framework cascade enzyme system is of a double-layer structure composed of an inner core and an outer shell, the inner core is a metal organic framework packaged with glucose oxidase and modified with carboxyl functional groups, and the outer shell is a metal organic framework packaged with horse radish peroxidase. And 2, 2-nitrogen-bis (3-ethylbenzothiazoline-6-sulfonic acid) is taken as a chromogenic substrate. According to the patch, the catalytic efficiency and the detection accuracy are improved, the stability is improved, the storage and transportation cost is reduced, the low detection limit can be achieved, the requirement for instant blood glucose detection is met, the size is small, and the cost is low.

This application relates to the field of blood glucose detection technology, and in particular to a non-invasive / minimally invasive blood glucose prediction system, method, and storage medium. The system includes a data acquisition module for acquiring blood glucose and physiological parameters non-invasively and minimally invasively, and inputting them into a blood glucose detection model; and a blood glucose prediction module for outputting predicted blood glucose values ​​through the blood glucose detection model. This application overcomes the limitation of conventional blood glucose detection models that rely solely on single real-time data by deeply integrating blood glucose and physiological parameters. Physiological parameters reflect the impact of real-time physiological state on blood glucose; blood glucose parameters reflect the current trend of blood glucose changes; and the blood glucose detection model establishes a correlation mechanism for blood glucose changes, facilitating patient self-management and remote monitoring by medical staff, providing reliable assurance for the long-term management of diabetic patients.

The invention belongs to the technical field of semiconductor technologies, and discloses a blood glucose detection device based on a non-toxic colloidal quantum dot photodiode, which comprises a near-infrared light source module, a photoelectric conversion module, a signal processing module and a blood glucose calculation module, the photoelectric conversion module is a non-toxic colloidal quantum dot photodiode; the non-toxic colloid quantum dot photodiode comprises a bottom reflection electrode, a DBR layer, an N-type layer, an absorption layer, a P-type layer and a top transparent electrode which are sequentially stacked. The N-type layer is a TiO2 or ZnO nano particle layer; the absorption layer is an intrinsic AgBiS2 and ZnTe mixed colloid quantum dot layer; the P-type layer is a CuInS2 colloidal quantum dot layer; the top transparent electrode is made of ITO or AZO. The long-term safety of the device can be remarkably improved, and the device is more suitable for non-invasive wearable blood glucose monitoring application which is in contact with or is attached to the skin of the human body.

The invention discloses hydrogel for sweat glucose detection, a preparation method of the hydrogel and a spontaneous perspiration type hydrogel sweat glucose detection sensor, and relates to the field of biological fluid characteristic object recognition, and the preparation method of the hydrogel comprises the steps that firstly, phytic acid and aniline monomers serve as raw materials, and phytic acid doped polyaniline powder is prepared; mixing Mxene, methylene blue, sodium ascorbate, the phytic acid doped polyaniline powder, acrylamide and N, N '-methylene bisacrylamide in deionized water to obtain a mixed solution; dropwise adding an ammonium persulfate solution into the mixed solution, stirring and standing to obtain a hydrogel intermediate; and finally, sequentially activating and modifying the hydrogel intermediate, and dispensing glucose oxidase to obtain the hydrogel for sweat glucose detection. The hydrogel prepared by the invention has high ion / electron conductivity, enzyme immobilization ability and mechanical flexibility. The interface charge transfer efficiency can be improved and multifunctional integration can be realized by integrally designing the electrode and a carbon electrode into a sensor of an interdigital structure.