2158 results about "Bio sensor" patented technology

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 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 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.

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.

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.

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.

A working wire for a biological sensor is disclosed. The working wire includes a substrate comprising cobalt-chromium (Co—Cr) alloy or Nitinol alloy, a platinum layer comprising platinum on the substrate, and a membrane layer comprising a biological membrane applied over the platinum layer.

The invention discloses a pheromone binding protein derived peptide capable of effectively monitoring sex pheromones of fall webworms and a biosensor, and belongs to the field of biosensors. At present, methods such as sample plot survey and sex traps commonly used in fall webworm monitoring have the problems of poor timeliness, high labor cost, insufficient data continuity and the like. In order to solve the problem, the pheromone binding protein-derived peptide provided by the invention has an amino acid sequence as shown in SEQ ID NO: 2, the biosensor comprises a substrate and an interdigital electrode, a single-walled carbon nanotube is attached to the electrode, and the electrode is also connected with the pheromone binding protein-derived peptide. The sensor can specifically detect sex pheromones of fall webworms, has no response to 17 plant volatile matters, and can detect sex pheromones released by as low as five live female fall webworms under laboratory conditions. The method has application potential in the fields of early pest monitoring, prevention and control efficiency improvement, ecological safety guarantee and the like.

The invention discloses a targeted delivery method of a plant-derived biological regulator, and relates to the technical field of bioengineering, and the targeted delivery method comprises the following steps: in the application process of an electroporation technology, monitoring and acquiring cell membrane lipid change data information in real time through a biosensor technology; the method comprises the following steps: preprocessing original data acquired by a biosensor, and organizing and storing the preprocessed data according to rules to form a structured data set; the system can accurately control the state of the plant cell membrane by monitoring the lipid change of the cell membrane in real time and combining intelligent evaluation and dynamic adjustment of the electric field parameters. When membrane lipid is oversaturated, the electric field intensity and the pulse frequency are dynamically adjusted, membrane damage is reduced, cell integrity is protected, and meanwhile effective delivery of allogenic materials is ensured. According to the method, the stability and the accuracy of an electroporation technology are improved, the targeted delivery of the plant-derived biological regulator is optimized, and the application potential of the plant-derived biological regulator in the fields of agriculture and biomedicine is expanded.

The invention discloses construction and application of an escherichia coli L-tryptophan biosensor, and belongs to the technical field of bioengineering. The L-tryptophan biosensor provided by the invention comprises a mutated leader peptide fragment tnaC-tnaA, a promoter of the mutated leader peptide fragment tnaC-tnaA, a green fluorescent protein coding gene eGFP and a pTrc99a plasmid skeleton, a recombinant strain containing the L-tryptophan biosensor is cultured, the expression of green fluorescent protein in a culture solution is gradually enhanced along with the increase of the concentration of the L-tryptophan, and the fluorescence value of a unit cell shows better correlation when the concentration of the L-tryptophan is 0-1.5 g / L; therefore, when the biosensor is used for detecting the L-tryptophan in the fermentation liquor, the biosensor has the characteristics of simplicity in operation, sensitive response and high threshold value.

The invention relates to the technical field of health state monitoring, in particular to a real-time health state monitoring system and method based on a biosensor. According to the scheme, through multi-mode data fusion, physiological data such as postures, heart rates and blood oxygen collected by the biosensor are combined with postures and environment videos of image collection, the limitation of single data source monitoring is solved, and the situation that traditional falling early warning is misreported due to normal actions such as stooping is avoided; or altitude stress early warning only prompts oxygen deficit but cannot be associated with the falling risk. A pre-trained risk assessment model is combined to output grading risk levels, targeted early warning such as low-risk prompt deceleration and high-risk sound-light alarm is triggered, more accurate and timely health monitoring service is provided for the elderly in the plateau area, and the falling risk caused by interaction of the environment and the physiological state is effectively reduced.

The invention discloses a preparation method and application of a glucose sensor based on an acupuncture needle, the sensor is prepared based on a specific structural design and a molecular recognition mechanism by taking the acupuncture needle as a substrate, and high-specificity and high-sensitivity detection of glucose concentration is realized through drain current change. According to the present invention, the biosensor has the ultra-wide dynamic detection range (0-40 mmol.L <-1 >), covers the clinical range from hypoglycemia to severe hyperglycemia, has the low detection limit of 54 mol.L <-1 >, has excellent grid regulation and control ability, shows the significant on-off ratio and the rapid response characteristic during the detection process, and meets the requirements of the biosensor on sensitivity and real-time performance; and the device has quick response capability to grid voltage change, so that the device has good stability and repeatability under repeated operation, and a direction and a basis can be provided for the development of a blood glucose monitoring technology with continuous, real-time and accurate characteristics.

The invention discloses a paper-based electrode based on liquid metal assisted laser-induced graphene and a preparation method thereof.The paper-based electrode comprises a substrate layer, a functional layer, a conductive layer and a hydrophobic layer which are sequentially arranged, the substrate layer is made of paper, the functional layer is formed by coating liquid metal nanoparticles, and the conductive layer is formed by coating liquid metal nanoparticles. The conductive layer is an electrode formed by a laser-induced graphene technology, and the hydrophobic layer is a fluid control area formed by wax packaging. According to the invention, paper is used as a substrate, liquid metal is combined with a laser-induced graphene technology, surface modification is carried out through eutectic gallium indium (EGaIn), polyimide (PI) and N-methyl pyrrolidone (NMP) composite slurry, and then a conductive electrode pattern is formed on the surface of the paper substrate by using a laser-induced graphene (LIG) technology. The method has the advantages of simple preparation, low cost, environmental friendliness and the like, and the prepared paper-based electrochemical biosensor has excellent conductivity, mechanical flexibility and electrochemical activity.

Contactless device for electronic payment and digital recognition of a person and method for generating a unique temporary OTP dynamic code via the contactless device. The device having a first set of components and a second set of components, wherein the first set of components comprises at least one biometric sensor for detecting a biometric character of a user and generating a biometric datum; at least one battery for supplying the components of the device; a display for displaying information data; an OTP microchip for generating a temporary dynamic code; at least one activation button for the OTP token function; at least one electronic circuit for contactless communication; and a microcontroller to manage the operations of the device. The second set of components includes at least one passive NFC microchip, in which the passive NFC microchip is removable from the device and isolated from the first set of components.

The invention discloses a staphylococcus aureus biosensor based on a nucleic acid aptamer and a preparation method of the staphylococcus aureus biosensor. Three fluorine atoms (F) are introduced into the 5'end, the 3 'end and the middle position of an aptamer 2' F3-(5 '3'm DNA) sequence (SEQ ID NO: 1) for modification, so that the binding force of the aptamer and graphene is remarkably enhanced, the signal stability and the anti-interference capability of the biosensor are remarkably improved, non-specific fluorescence leakage can be effectively blocked, and reliable guarantee is provided for complex sample detection. According to the present invention, with the cooperation of the graphene oxide quenching substrate, the high-sensitivity detection of the staphylococcus aureus is achieved, the detection limit of the sensor within 5 min can achieve 5 cells / mL, the sensitivity is high, the specificity on the complex sample is more than 95.4%, and the sensor is suitable for the food safety rapid screening and the clinical diagnosis.

The invention discloses a biosensor for detecting Alzheimer's disease markers as well as a construction method and application thereof, and relates to the technical field of biosensors. The construction method comprises the following steps: after a glassy carbon electrode is cleaned, dropwise adding a RuSi NPs (at) CS compound on the surface of the glassy carbon electrode to obtain a RuSi NPs (at) CS / GCE electrode; and immersing the RuSi NPs coated CS / GCE electrode into a PHL: S double-chain solution, and carrying out an incubation reaction to obtain the biosensor. The RuSi NPs (at) CS compound is obtained by carrying out mixed reaction on ruthenium-silicon nanoparticles and chitosan; pHL: S double chains contained in the PHL: S double-chain solution are obtained by carrying out incubation reaction on carboxyl-activated PHL chains and S chains. The biosensor has the advantages of high accuracy, strong sensitivity, good selectivity and the like, and can be applied to accurate detection of the Alzheimer's disease marker A beta oligomer.