3035 results about "Bio sensor" patented technology

A method for circumscribing an insulating barrier region around a singular conductive microneedle structure or plurality of conductive microneedle structures adhered to a fixed substrate for the purpose of spatially defining a conduit for the routing of an electrical signal from the surface of said microneedle or microneedles to the posterior surface of the substrate is disclosed herein. A microneedle-based electrochemical biosensors structure comprises a substrate, a microneedle biosensor, a primary electrically conductive element, a secondary electrically conductive element and an electrically insulative annular barrier.

A method of manufacturing a carbon nanostructure, such as a carbon foam material, is disclosed. The method comprises the steps of: (a) using a first laser beam to irradiate an encapsulated or sub-surface region of a carbon pre-cursor material below a surface of the material, to create carbon foam in that sub-surface region, and a disorganised, amorphous non-graphene material above the carbon foam, and then (b) using a second laser beam to remove or ablate the disorganised, amorphous non-graphene material sitting above the carbon foam, to expose at least some of the carbon foam. The resultant carbon foam material shows a significant D peak; the 2D peak is significantly less than the G peak; and the peak D: peak G ratio is significantly above zero. In appearance and Raman signature, it appears similar to a carbon nano-onion material. It can be used in biosensors, supercapacitors and pseudo-capacitors.

The invention provides an intelligent tumor nursing monitoring system. The intelligent tumor nursing monitoring system comprises a data acquisition module, a data processing module, a dynamic evaluation module, a multi-stage early warning module and a self-adaptive control module. The data acquisition module acquires physiological sign data, tumor local image data and body fluid biochemical data of a patient in real time through a multi-source biosensor. And the data processing module performs space-time alignment, noise suppression and cross-modal feature association on the multi-modal data to generate a comprehensive feature map. The dynamic evaluation module calculates the tumor progress rate and the complication risk coefficient based on the map, and generates a personalized risk prediction curve. And the multi-stage early warning module triggers an early warning signal according to the curve and generates a risk traceability report. And the adaptive control module generates a personalized scheme based on the early warning signal and the traceability report and controls the medical equipment to execute closed-loop feedback adjustment. The nursing quality and the treatment effect of tumor patients can be improved, and the medical risk is reduced.

The invention discloses a low-trigger-potential electrochemical luminescence enzyme biosensor for detecting glucose and a construction method and application thereof, the sensor comprises a three-electrode system formed by a working electrode, a reference electrode and a counter electrode, and a liquid to be detected contains luminol; the working electrode is a VMSF modified electrode of confined gold-palladium nanoparticles and is obtained by covalently immobilizing glucose oxidase. Luminol and glucose oxidase are respectively used as an electrochemical luminescence signal molecule and a specific recognition element; by combining the efficient and specific catalytic activity of natural enzyme, the efficient catalytic activity of gold-palladium nanoparticles on luminol electrochemical luminescence and the anti-pollution capacity of a vertical ordered mesoporous silica film, the low-trigger-potential electrochemical luminescence enzyme biosensor without an exogenous co-reactant is constructed; the method has the characteristics of high sensitivity, wide detection linear range and low detection limit, and has great application potential in constructing a portable glucose sensor for diagnosing and monitoring diabetes mellitus.

The invention relates to the technical field of medical instrument control, in particular to a lung biopsy sampling needle stabilizing method and system based on dynamic respiration compensation. The stabilizing method comprises the following steps: acquiring a respiratory movement signal of a patient in real time through a multi-source biosensor, wherein the multi-source biosensor comprises an optical fiber strain sensor array, a diaphragm myoelectricity sensor and a respiratory airflow sensor which are deployed at the chest and abdomen. According to the method, millimeter-microsecond-level accurate and stable control over the lung biopsy sampling process is achieved by establishing a cooperation mechanism of a breathing phase-displacement nonlinear mapping model and a macro-micro composite driving framework. The biological rationality of displacement prediction is improved through deep coupling of multi-mode breathing signals, and the chest wall non-uniform deformation gradient is analyzed in space based on cross topology deployment of an optical fiber strain sensor in an intercostal space area in combination with cross-scale feature fusion of myoelectricity and airflow sensing.

The invention discloses a ganoderma lucidum cultivation environment multi-mode self-adaptive regulation and control method based on the Internet of Things, and relates to the technical field of ganoderma lucidum cultivation, and the method comprises the following specific steps: multi-source data collection: reasonably arranging an environment sensor and a biosensor in a ganoderma lucidum cultivation environment, and collecting environment data and biodata in real time, according to the method, various data in the lucid ganoderma cultivation environment are comprehensively collected, the environment factor coupling effect model is constructed in combination with a machine learning algorithm, comprehensive analysis and accurate regulation and control of the lucid ganoderma growth environment can be achieved, and the interaction relation between environment factors and the physiological state of lucid ganoderma are fully considered; the control decision is more scientific and reasonable, the growth speed and quality of the ganoderma lucidum are remarkably improved, the yield of the ganoderma lucidum is further improved, meanwhile, a biological feedback mechanism is introduced, the cultivation environment can adapt to the optimal growth requirement of the ganoderma lucidum in real time, and the cultivation accuracy and the intelligent level are further improved.

The invention relates to a battle wound field real-time hemostasis method based on a biological information sensing technology, and the technical scheme comprises the steps: introducing a time sequence biological signal for modeling, and carrying out the dynamic prediction of a battle wound state; on the basis of a biosensor data flow, a multi-dimensional time sequence state space is constructed, and the multi-dimensional time sequence state space comprises a nonlinear change trend of a bleeding rate, an evolution mode of tissue physiological parameters and a dynamic evolution process of a blood coagulation process; external intervention requirements are minimized while a hemostasis strategy is dynamically adjusted through active learning; defining multi-objective optimization modeling of key objectives of hemostasis efficiency, tissue damage minimization and pressure adaptability; estimating distribution prediction of success probabilities of different hemostasis strategies; the intelligent response mechanism is composed of a nanoscale blood coagulation factor carrier and a phase change regulation and control network. An environment triggering response model is constructed, and the blood coagulation factor carrier selectively releases blood coagulation factors according to biological signals including the pH value, the temperature and the bleeding rate.

The invention discloses an emotional pressure relieving and monitoring method combined with a virtual reality technology, and the method comprises the following steps: S1, providing a virtual environment for a user through a virtual reality device, and enabling the user to interact with the environment through wearing a virtual reality head-mounted device and using a controller; s2, collecting physiological data of the user in real time through a biosensor, wherein the physiological data comprises heart rate, brain wave, electrodermal response and oxyhemoglobin saturation; s3, inputting the physiological data in the S2 into a long-short-term memory network model for processing, and predicting emotional changes; s4, adjusting the virtual reality environment in real time to adapt to the current emotional state of the user based on the emotional state analysis and prediction result of the long-short-term memory network model; and S5, repeating the steps S2 to S4 to monitor the emotion of the user. According to the method, solid technical support is provided for emotion pressure management and monitoring based on the virtual reality technology, and a traditional static emotion regulation method can be effectively replaced.

The invention discloses an intelligent detection method for water pollutants, which comprises the following steps of: transmitting a signal of a specific frequency band to a water body through an electromagnetic wave transmitting module, acquiring reflected and refracted signals by using a multi-channel receiver, extracting the characteristics of dielectric constant, refractive index and the like of the water body, and analyzing the types and the concentration range of the pollutants by adopting a pattern recognition algorithm; the method comprises the following steps: selecting a micro-fluidic chip and an electrochemical unit, selecting a corresponding biosensor for targeted detection, processing detection data through the micro-fluidic chip and the electrochemical unit, predicting the concentration, spatial distribution and trend of pollutants through a data analysis module, setting a dynamic self-adaptive threshold by the system, realizing pollution early warning, and uploading data to a cloud platform through a remote communication module. And remote monitoring is supported. The method can be widely applied to the fields of water quality monitoring, environmental protection and pollution control, and the detection precision, the real-time performance and the intelligent level are improved.

The present invention relates to organic thin film sensors and the preparation and use thereof in sensing applications, and in particular in glucose sensing. The sensor is characterised by a layered structure comprising a porous wicking layer whose surface is configured to receive a liquid sample. An enzyme is disposed on or within the porous layer for facilitating the generation of a charge carrier from an analyte. A polymer layer in contact with the porous layer is connected to an ohmic conductor for applying a gate voltage to the polymer layer, the polymer layer being conductive to the charge carrier; and an organic semiconducting layer is connected to a source electrode and a drain electrode.

The invention discloses a self-powered biosensor for double-signal detection of sugarcane pokkah boeng disease, the self-powered biosensor comprises an anode, a cathode and an electrolyte, the anode is a CuCo-MOF / AuNPs / GOD biological anode, the cathode is a CuCo-MOF / AuNPs / DNA chain biosensor, and the electrolyte comprises glucose, MB and a PBS buffer solution. According to the self-powered biosensor, analysis is carried out through two non-interfering modes of electrochemical detection and colorimetric detection, and whether a detection result is a false positive signal or not can be effectively verified. An external power supply is not needed, and real-time outdoor detection can be realized. The material source is wide, the assembly process is simple, and accurate and rapid detection can be realized. The method has the advantages of high sensitivity, good selectivity and real-time detection, and can be used for accurately detecting the sugarcane pokkah boeng rot.

Described herein are methods, compositions and articles of manufacture involving neutral conjugated polymers including methods for synthesis of neutral conjugated water-soluble polymers with linkers along the polymer main chain structure and terminal end capping units. Such polymers may serve in the fabrication of novel optoelectronic devices and in the development of highly efficient biosensors. The invention further relates to the application of these polymers in assay methods.

The invention discloses a nano-enzyme-sensitized electrochemical luminescence immune biosensor as well as a construction method and application thereof. The biosensor comprises a three-electrode system of an immune electrode, a reference electrode and a counter electrode, and a solution containing luminol and hydrogen peroxide is taken as an electrolyte solution; the immunoelectrode is obtained by covalently immobilizing a tumor marker antibody and closing a non-specific site on an electrode confined to Co3O4 nano-enzyme. On the basis of an ECL signal of an SNF confinement Co3O4 nano-enzyme sensitization luminol-H2O2 system, an antibody on an immune recognition interface in detection can specifically capture a steric hindrance effect caused by a tumor marker and an immune complex, so that the ECL signal is reduced, and a detection effect is achieved. The Co3O4 nano-enzyme is generated in situ in a nano-channel, the activity of pseudo-peroxidase is enhanced while the Co3O4 nano-enzyme is stabilized, and the Co3O4 nano-enzyme is used as a co-reaction accelerant to sensitize ECL signals. The sensor disclosed by the invention is used for detecting tumor markers and has the advantages of high sensitivity and low detection limit.

A physiological signal monitoring device includes a base including a base body that has a bottom plate and an opening, a biosensor mounted to the base, and a transmitter removably mounted to the base body. The base further includes a first coupling structure disposed on a top surface of the bottom plate, and the transmitter includes a second coupling structure coupled to the first coupling structure when the transmitter is mounted to the base body. When the first and second coupling structures are coupled to each other, they are disposed to be distal from a periphery cooperatively defined by the base and the transmitter. They are uncoupled from each other when an external force is applied through the opening of the base body to separate the transmitter from the base.

A method for circumscribing an insulating barrier region around a singular conductive microneedle structure or plurality of conductive microneedle structures adhered to a fixed substrate for the purpose of spatially defining a conduit for the routing of an electrical signal from the surface of said microneedle or microneedles to the posterior surface of the substrate is disclosed herein. A microneedle-based electrochemical biosensors structure comprises a substrate, a microneedle biosensor, a primary electrically conductive element, a secondary electrically conductive element and an electrically insulative annular barrier.

The invention provides an integrated electrochemical biosensor capable of detecting double miRNA with high sensitivity, and the integrated electrochemical biosensor can simultaneously detect double miRNA markers with high sensitivity through self-assembly of a Y-shaped capture probe, preparation of an Au / TiO2-FTO array electrode, catalytic hairpin amplification (CHA) and construction of a micro-droplet chip electrochemical biosensor. The advantages of equalization of double-target miRNA capture probe sites, excellent electrode performance, reliable signal amplification, low sample consumption and the like are integrated, the linear range of miRNA21 and miRNA155 detection is 10 fM to 100 nM, and the detection limits are 5.00 fM and 5.17 fM respectively. By detecting the miRNA21 and miRNA155 double markers, the accuracy of breast cancer diagnosis is up to 98%, and the recognition sequences at the two ends of the Y stent probe are modified, so that the sensor can be used for diagnosing other miRNA marker related diseases. The integrated micro-droplet chip electrochemical biosensor constructed by the invention has a remarkable clinical diagnosis value and a prominent practical application prospect.

The invention discloses a method for managing medical risks, and particularly relates to the technical field of medical management, and the method comprises the steps: S1, deploying a multi-modal noninvasive biosensor, and collecting the physiological data of a patient; s2, integrating data sources, and performing cleaning and standardization processing to ensure data consistency and accuracy; s3, performing feature extraction and correlation analysis by using a deep belief network and a graph neural network, and identifying a potential risk mode; and identifying a potential risk mode through high-dimensional feature extraction and complex correlation analysis. And by utilizing self-supervised learning and a generative adversarial network, hidden risks can be efficiently detected, and potential health problems can be warned in advance. A personalized risk assessment and multi-level response mechanism provides accurate intervention measures for each patient, and the quality and efficiency of medical services are improved. Meanwhile, according to the method, continuous data collection is achieved through the noninvasive sensor network, it is guaranteed that the patient is not interfered in the monitoring process, and the comfort level and compliance of the patient are improved.

Method and systems for quantifying analytes in biological samples include a lateral flow assay (LFA). Integrated LFA analyte measuring devices include a first sensor that generates a signal relative to the concentration of a measured analyte. The LFA device may also include one or multiple additional sensors for auxiliary measures to assist in correcting, adjusting, or interpreting the output of the first sensor. The LFA device can cooperate with a remote database for data storage, analysis, and access.

A computer generates an accident risk definition model to estimate a probability of hazard occurrence as an accident risk by inputting first in-vehicle sensor data collected in the past and hazard occurrence data having information on hazard occurrence from the first in-vehicle sensor data preset therein, generates accident risk estimation data by inputting second in-vehicle sensor data collected in the past to the accident risk definition model and estimating the probability of the hazard occurrence, generates an accident risk prediction model to predict the accident risk after a predetermined time by inputting first biological index data corresponding to the second in-vehicle sensor data and the accident risk estimation data, calculates second biological index data from second biological sensor data by acquiring the second biological sensor data of a driver, and predicts the accident risk after the predetermined time by inputting second biological index data to the accident risk prediction model.

The present disclosure relates to systems, devices and methods for receiving biosensor data acquired by a medical device, e.g., relating to glucose concentration values, and controlling the access and distribution of that data. In some embodiments, systems and methods are disclosed for monitoring glucose levels, displaying data relating to glucose values and metabolic health information, and controlling distribution of glucose data between applications executing on a computer, such as a smart phone. In some embodiments, systems and methods are disclosed for controlling access to medical data such as continuously monitored glucose levels, synchronizing health data relating to glucose levels between multiple applications executing on a computer, and / or encrypting data.

Methods and systems are provided for detecting and processing gestures, expressions (e.g., facial), tone and / or gestures of the user for the purpose of improving the quality and speed of interactions with computer-based systems. Such information may be detected by one or more sensors such as, for example, electromyography (EMG) sensors used to monitor and record electrical activity produced by muscles that are activated. Other sensor types may be used, such as optical, inertial measurement unit (IMU), or other types of bio-sensors. The system may use one or more sensors to detect speech alone or in combination with gestures, expressions (e.g., facial), tone and / or gestures of the user to provide input or control of the system.

A wearable device to measure a user's physiological parameters comprising one or more biosensors, as well as a light source comprising light emitting diodes, lenses for directing light towards tissue of the user comprising blood vessels, and a detection system receiving reflected tissue light. The physiological parameters, for example hypertension, are measured with a differential measurement. For example, the physiological parameters may be associated with pulse rate and blood flow. The output signal is associated with the physiological parameters, and artificial intelligence may be used in making decisions regarding the output signal. Signal-to-noise ratio of the output signal may be improved by synchronizing the detection system to the light source, increasing light intensity, and detecting a change. The wearable device is configured to determine that is being worn by the user and may be configured to communicate with a smartphone or tablet.

An intelligent cooling system for dynamic monitoring, prediction and optimization of storage conditions in real time, consisting of: a refrigerator with heat-insulated walls; a sensor array in the refrigerator comprising temperature sensors, humidity sensors, pressure sensors, and pathogen detection biosensors, the sensor array being configured to continuously monitor internal environmental parameters in the refrigerator and external environmental conditions; a control dashboard configured to display real-time environmental data and enable remote monitoring and manual adjustment of the environment in the refrigerator; an Internet of Things (IoT) communication module configured to transmit the monitored internal and external environmental data to the control dashboard; a proportional-integral-derivative (PID) controller operatively connected to the IoT communication module and configured to analyze the monitored data and calculate correction factors to maintain optimal environmental conditions; a plurality of actuators within the refrigerator, the plurality of actuators comprising a temperature actuator, a humidity actuator, and a pressure actuator, the actuators being configured to independently adjust temperature, humidity, and pressure within the refrigerator based on the control instructions; a processor configured to execute machine learning algorithms to analyze historical and real-time sensor data, predict optimal environmental conditions based on the analyzed data, and generate control instructions for the actuators based on the predicted optimal environmental conditions and the calculated correction factors; and a solar power supply configured to provide energy for operating the system.

The invention discloses a nanopore sensor based on insect olfactory receptor protein as well as a construction method and application thereof, and belongs to the field of biosensors. According to the invention, the insect olfactory receptor protein is used as a sensitive element to be integrated into a nanopore measurement system, so that the nanopore sensor is obtained. By measuring a nanopore current signal, the prepared sensor is applied to detection of target odorant molecules. According to the method, the recognition capability of the insect olfactory receptor protein on odorant molecules and the single molecule level detection capability of the nanopores are utilized, expensive large experimental instruments and complex experimental operation steps are not needed, and sensitive, rapid and direct detection on odorant substances can be realized.

The present invention relates to: an electrochemical biosensor capable of effectively and sensitively detecting alfuzosin; an electrode applied thereto; a metal-organic framework (MOF) which includes a zinc / cobalt oxide and is applied in manufacturing the electrode; and methods for manufacturing same.

The invention relates to the technical field of treatment of chronic diseases of old people, and discloses a metabolic characteristic-based medicine dosage optimization method for chronic diseases of old people. The method comprises the following steps: acquiring drug metabolism parameters (including a plasma concentration peak value, a half-life period curve and the like) and organ function data (including a hepatocyte metabolism rate, a glomerular filtration rate and the like) of a plurality of monitoring nodes, arranging the drug metabolism parameters and the organ function data into a time sequence input vector, and extracting a dynamic feature vector by using a time convolution network and an adaptive filter network; performing feature crossing, pharmacokinetic constraint correction and feature enhancement processing, performing fusion to generate a joint feature vector, inputting the joint feature vector into a dose decision model to obtain an adjustment coefficient, and generating a drug dose interval with a safety threshold in combination with a historical drug use record. According to the method, multi-dimensional data integration and dynamic modeling are realized, the accuracy and safety of chronic disease medication of old people are improved, and the method is suitable for individualized treatment.

Antibodies and antibody fragments that bind to polyfluoroalkyl and perfluoroalkyl species (PFAS) are described for use in biosensors for detecting PFAS compounds in environmental samples. A detector comprising the biosensor and a kit for use with the detector are also described.

The invention provides a biofeedback type electrical stimulation regulation and control device based on multi-mode physiological signal monitoring and a control method, the regulation and control device comprises an electronic component layer, a circuit layer, a man-machine interaction part and an adhesion layer, physiological signal acquisition and electrical stimulation regulation technologies are utilized, and a multi-source biosensor and an intelligent processing module are integrated, so that the regulation and control of the biofeedback type electrical stimulation regulation and control device is realized. Dynamic monitoring and real-time analysis of physiological signals are achieved, self-adaptive adjustment of personalized parameters is conducted based on signal characteristics, and a non-invasive biological feedback regulation and control system is formed. Through integrated multi-mode detection and intelligent regulation and control functions, a non-invasive and convenient regulation and control means is provided for wearers with abnormal nerve or physiological states; a portable and comfortable attached structure is adopted, the device can be worn at the Neiguan point for a long time, physiological signal continuous monitoring and electrical stimulation closed-loop feedback adjustment are achieved, and the personalized health management requirement of a user is met.

A biosensor cartridge can include a circuit board having a connection terminal configured to be electrically connected to an external diagnostic device, a biosensor chip configured to detect a target material from an analysis specimen, and transmit an electrical signal to the connection terminal of the circuit board based on the target material being present in the analysis specimen, the biosensor chip including a reactant configured to react specifically with the target material, and a housing enclosing the circuit board and the biosensor chip, and the connecting terminal being exposed outside of the housing. Also, the biosensor chip includes a plurality of channel areas separated from each other, and the reactant is attached to the plurality of channel areas.

The invention discloses a magnetic hydrogel coated bacterial biosensor platform and application, and belongs to the field of synthetic biology and clinical diagnosis. The hydrogel delivery and recovery system comprises a hydrogel-coated whole-cell biosensor and magnetic particles, the hydrogel is constructed by sodium alginate and calcium chloride, and the biosensor is a bacterium for sensing heme. More specifically, engineering bacteria YES601 and magnetic Fe3O4 particles are packaged by sodium alginate hydrogel to form magnetic hydrogel microspheres, the magnetic hydrogel microspheres are delivered to intestinal tracts as a biosensor and can sense heme to emit light, and then complete microspheres are efficiently recovered from excrement in a magnetic adsorption mode for detection. The intestinal bleeding detection efficiency and safety of the whole-cell biosensor are improved. According to the overall design optimization strategy of the hydrogel delivery and recovery system, the diagnosis efficiency and the practical application value can be improved.