219 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 belongs to the technical field of medical health monitoring, and relates to a noninvasive blood glucose detection method based on reinforcement learning and multi-modal dynamic weight fusion, and the method comprises the following steps: carrying out adaptive dynamic weight distribution on the weight of an ECG signal and a PPG signal based on a reinforcement learning network, optimizing a signal processing parameter, and determining whether to trigger threshold adjustment; performing weighted feature fusion on the ECG signal and the PPG signal to obtain a fusion feature vector; the fusion feature vector is input into a prediction and early warning double-branch output structure, the prediction and early warning double-branch output structure comprises a regression branch and a classification branch, the regression branch is used for continuously predicting the blood glucose value, and finally a single blood glucose concentration value is output; and the classification branch is used for early warning level judgment, and finally outputting classification alarms for continuous prediction results so as to complete noninvasive blood glucose detection. The method has the beneficial effects that the fluctuation influence of user movement and temperature on noninvasive blood glucose data acquisition is reduced, and the individual difference suitability and long-term stability of noninvasive blood glucose detection are improved.

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 provides a full-dynamic non-invasive blood glucose detection method based on a full-spectrum peak segment optimization algorithm. The method comprises the following steps: step S1, performing blood glucose testing on a nail bed part of a human little finger by matching an infrared dual-wavelength semiconductor laser with a spectrograph, and recording blood glucose Raman spectrum data obtained in each blood glucose testing; step S2, carrying out pretreatment on the obtained blood glucose Raman spectrum data; s3, dividing the preprocessed blood glucose Raman spectrum data into a training set and a prediction set, analyzing through a principal component analysis method and a partial least square regression analysis method, and establishing a model; s4, inputting the preprocessed blood glucose Raman spectrum data as an independent variable into the model in the step S3, analyzing the blood glucose concentration of the human body, and giving a reference value; according to the full-dynamic non-invasive blood glucose detection method based on the full-spectrum peak segment optimization algorithm, the accuracy of quantitative analysis of a high-fluorescence background sample through a Raman spectrum is achieved, complex treatment on the sample is not needed, and the accuracy of human body non-invasive blood glucose detection is improved.

The invention discloses a preparation method and application of an iron-based covalent organic framework enzyme-loaded biological cascade catalytic material, and belongs to the field of materials. An iron-based covalent organic framework material is prepared by adopting a one-pot method, and glucose oxidase is further loaded, so that the biological cascade catalytic material for glucose detection is prepared. The biological cascade catalytic material obtained by the preparation method disclosed by the invention combines the advantages of nano enzyme and natural enzyme, and has excellent catalytic efficiency and long catalytic life; the Fe-COFs prepared by the method disclosed by the invention is strong in peroxidase-like activity and high in enzyme loading capacity, can adapt to a cascade system loaded by various enzymes, and widens the application prospect of constructing a biological cascade catalytic system based on COFs loaded natural enzymes.

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 sensors, in particular to a CIOD-based noninvasive blood glucose detection sensor and method.The sensor comprises a multi-layer structure and comprises a first flexible polyimide substrate tightly attached to the skin, a temperature control assembly, a second flexible polyimide substrate and a glucose detection patch; the temperature control assembly comprises a temperature sensor and a heating wire and is used for thermally activating the skin; the glucose detection patch comprises three electrode areas filled with perfluorinated sulfonic acid resin, wherein the first electrode area comprises a first sodium ion working electrode, a shared electrode and a detection working electrode; the second electrode region contains a sodium ion reference electrode; the third electrode area comprises a second sodium ion working electrode and an auxiliary electrode; the electrodes are connected through insulating coating wires; the shared electrode and the auxiliary electrode form an interstitial fluid extraction electrode pair, and the detection working electrode and the shared electrode form a glucose detector to detect a hydrogen peroxide signal generated by glucose oxidation; the first sodium ion working electrode, the second sodium ion working electrode and the sodium ion reference electrode form a sodium ion differential detector to calibrate a glucose signal. According to the novel noninvasive blood glucose detection sensor provided by the invention, efficient, noninvasive and portable blood glucose monitoring can be realized by combining thermal activation and differential self-calibration.

The invention discloses a rapid detection device for diabetic nephropathy patients, and belongs to the technical field of diabetic nephropathy patient detection.The rapid detection device comprises a blood glucose detection assembly, a self-adaptive adjusting mechanism, an extrusion force adjusting structure and an automatic blood taking mechanism, and the self-adaptive adjusting mechanism is arranged on the blood glucose detection assembly; the extrusion force adjusting structure is arranged in the blood glucose detection assembly, the extrusion force adjusting structure is connected with the self-adaptive adjusting mechanism, the extrusion force adjusting structure comprises an adjusting assembly and a reciprocating displacement assembly, and the automatic blood taking mechanism is arranged on the blood glucose detection assembly. By arranging the self-adaptive adjusting mechanism, the extrusion force adjusting structure and the automatic blood taking structure, the extrusion force for assisting the blood taking structure of the person to be detected is self-adaptively adjusted according to different thicknesses of the hands of the person to be detected, and it is ensured that the device can take out sufficient blood for detection; and tissue fluid groups which influence a detection result can be prevented from existing in blood, so that the detection precision of the device is 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 a blood glucose detection test paper production equipment and relates to the field of test paper production, which comprises a processing table, a support is fixedly connected to the upper end face of the processing table close to the front side, a movable plate is slidably inserted into the support, three cutting knives are fixedly connected to the lower end face of the movable plate at equal intervals, and three discharge ports are formed in the upper end face of the processing table corresponding to the cutting knives. The two servo motors can drive the movable plate to reciprocate up and down in the support, thereby driving the cutting knives to cut the test paper sent to the discharge port. In the process of ascending of the movable plate, the upper ends of the two rotating plates are pushed away from each other by the push plate, thereby driving the two shovel plates to open. When the movable plate descends, the lower ends of the two rotating plates are driven away from each other by the push plate, thereby driving the two shovel plates to be attached to the front and back sides of the cutting knives, so that the glue adhered to the cutting knives is scraped off by the shovel plates in the process of continuous descending of the cutting knives, the sharpness of the cutting knives is ensured, and the cutting knives can smoothly cut the test paper.

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 utility model provides a blood glucose detection sampling device which comprises a blood purification tube and an artery end sampling point arranged on the blood purification tube in a communicated mode, a limiting piece is detachably installed on the top of the artery end sampling point, a rubber plug is embedded in the limiting piece, a blood storage piece is arranged on the rubber plug, and a blood outlet is formed in the blood storage piece. The blood suction pipe is used for sucking blood in the blood purification pipe. According to the blood purification device, blood of a patient flows in the blood purification tube to achieve blood circulation, then the liquid storage bag is squeezed, gas in the liquid storage bag is discharged through the capillary needle, the interior of the liquid storage bag is in a negative pressure state, then the capillary needle penetrates through the rubber plug, the blood in the blood purification tube flows into the liquid storage bag through the capillary needle, and the blood is purified. According to the blood sampling device, temporary storage is achieved, the purpose of blood sampling is achieved at the moment, the mode does not need to additionally conduct needle insertion on the arms of a patient, harm to the patient is reduced, the purpose of continuous multiple times of sampling can be achieved, multiple times of detection can be conducted on the patient more efficiently, and the data accuracy is improved.

The invention discloses a high-activity non-enzymatic glucose sensor catalyst and a preparation method thereof. The catalyst takes a carbon material as a carrier and CuO as a catalytic active component. The preparation method comprises the following specific preparation steps: uniformly loading the active component on the carbon substrate through a chemical reduction method, and then carrying out annealing treatment in a muffle furnace to obtain the catalyst. According to the preparation method of the non-enzymatic glucose sensor catalyst with the CuO active component loaded on the carbon material, the steps of chemical reduction and thermal annealing treatment are adopted, the operation is simple, and the preparation method is suitable for large-scale preparation. The obtained catalyst is uniform in active component distribution, shows excellent glucose electrocatalytic oxidation performance, and can be applied to a non-enzymatic glucose sensor for glucose detection.

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 discloses a glucose sensor with an integrated flow channel sandwich structure, which comprises a first dielectric substrate, a liquid loading layer, a second dielectric substrate, an interdigital structure microstrip line and a ground lug, and is characterized in that the first dielectric substrate, the liquid loading layer, the second dielectric substrate and the ground lug are arranged from top to bottom according to a layered structure; the interdigital structure microstrip line is fixedly arranged on the top surface of the first dielectric substrate; a through hole is formed in the liquid loading layer, a liquid inlet is formed in one side face of the liquid loading layer, a liquid outlet is formed in the other side face of the liquid loading layer, the liquid inlet is communicated with the through hole through a first channel in the liquid loading layer, and the liquid outlet is communicated with the through hole through a second channel in the liquid loading layer. The glucose sensor provided by the invention can realize rapid and accurate glucose detection, the minimum detection concentration can reach 2mM, and the error degree is less than 0.005 dB.

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.