42 results about "Nanosensor" patented technology

The invention discloses a method for dynamically monitoring, regulating and controlling crop growth environment data based on nano sensing, and relates to the technical field of crop environment monitoring and management. Crop growth environment data and leaf dip angle data are synchronously acquired through a deployed nano sensing network; constructing an environment variation vector reflecting environment mutation intensity based on the environment data, and calculating to obtain a comprehensive risk value in combination with the blade attitude anomaly characteristic value processed by the trigonometric function; and generating a spatial risk distribution matrix reflecting continuous distribution of a risk space by using an inverse distance weighted interpolation method. By analyzing the characteristics of the matrix, transient interference caused by gust and the like and continuous stress caused by sudden change of the environment are intelligently distinguished, and two differentiated response management strategies of inhibitory regulation and control and hierarchical regulation and control are respectively triggered. The early, accurate and spatially distinguished perception and preventive intervention of the risk of the flash seedlings in the facility are realized, and the problems of high false alarm rate, response lag and extensive regulation and control of a traditional method are effectively solved.

This invention belongs to the field of gas sensor technology and discloses a method for preparing europium ferrite nanosensors and their applications. This method utilizes electrospinning technology combined with a specific low-temperature confined-domain calcination process (550℃~700℃) to prepare EuFeO3 nanotubes with a hollow structure and rough surface by taking advantage of the thermal decomposition kinetics differences of poly(p-v) magnets (PVP). This process effectively suppresses excessive repair of lattice oxygen while forming a unique tubular morphology, effectively "freezing" oxygen vacancies (O2) accounting for up to 34.44% on the material surface in situ. v This invention addresses the shortcomings of traditional solid fiber materials by constructing a sensor using a grinding, dispersion, and coating process. Utilizing the dual reactive surfaces of hollow nanotubes and high-concentration oxygen vacancy active sites, it achieves highly sensitive and selective detection of low-concentration ethylene gas released during fruit ripening. This invention solves the problems of small specific surface area and insufficient active sites in traditional solid fiber materials.

The application discloses a digital image quantitative dual-mode detection system and method based on a cascade enhanced nano-enzyme, which comprises a probe prepared from a membrane nano-enzyme material, an immunochromatography test strip and a signal automatic analysis system, the nano-enzyme material takes molybdenum disulfide nanosheets as a substrate, sequentially loads large-diameter platinum-iridium alloy particles and small-diameter platinum-iridium alloy particles through polyethylene imine-mediated electrostatic self-assembly, and forms a high-density catalytic active site array. The probe is coupled with specific antibodies on the surface of the nano-enzyme material. Based on the inherent light absorption and peroxidase-like activity of the probe, a dual-mode detection strategy of physical color development-catalytic enhancement is established, high-concentration sample visual preliminary screening and low-concentration sample ultra-sensitive quantitative detection are realized, and combined with an adaptive cross-peak colorimetric quantitative algorithm, individual visual perception differences can be effectively eliminated, and on-site rapid quantitative screening of community-acquired pneumonia pathogens such as streptococcus pneumoniae and legionella pneumophila can be realized.

The invention provides a multiple access scheme in a molecular communication network and a detection method, which are used for relieving a near-far effect and ensuring communication fairness of sensors in different distances by constructing the network, setting time offset according to a transmission distance, determining emission delay by combining channel impulse response peak time and adjusting molecular emission quantity according to channel impulse response. The molecule consumption and energy consumption are reduced; based on the MMSE principle, an optimization equation is constructed, an optimal weight vector is solved, a judgment variable is obtained, bit information is precisely restored, interference is effectively suppressed, the bit error rate is reduced, the reliability and efficiency of nano sensor network communication are greatly improved on the whole, and the problem of nano sensor network communication is efficiently solved.

The present disclosure provides a colorimetric nanosensor for detecting trace-levels of Hg2+ in environmental water, which is composed of Fe7S8 nanosheets, glutathione or its aqueous solution, 3,3′,5,5′-tetramethylbenzidine colorimetric solution, H2O2 aqueous solution, and NaAc-Hac buffer. The preparation method of Fe7S8 nanosheets is as follows: FeCl2·4H2O and CH4N2S are dissolved in ethylene glycol in a mass ratio of (2˜3):1, heated at 200° C. for 10˜15 hours, cooled, centrifuged, washed, and dried to obtain. The colorimetric nanosensor of the present disclosure can quickly and sensitively determine the trace-levels Hg2+ in environmental water. The colorimetric nanosensor of the present disclosure does not rely on large detection instruments, and the nanozymes used is low-cost, stable, and recyclable. It has important practical significance for accurate, fast, and low-cost detection of trace-levels of Hg2+ in environmental water.

This invention relates to a three-emission ratio fluorescence nanosensor for detecting tetracycline and its preparation method. The sensor uses a carbon dot-gold cluster nanocomposite material as the fluorescence signal. The synthesis steps and detection process of the carbon dot-gold cluster nanocomposite material in this invention are simple, convenient, and rapid, exhibiting rich fluorescence color changes. It does not require the assistance of complexes or coupling reagents. By constructing a three-emission ratio fluorescence sensor, the goal of highly sensitive and selective detection of tetracycline can be achieved.

The invention discloses a colorimetric sensing array based on hierarchical pore nano-enzyme as well as a construction method and application of the colorimetric sensing array, and belongs to the technical field of analysis and detection. According to the array, two cerium-based MOF nano-enzymes, namely micropore UiO-66 and hierarchical pore HP-UiO-66, are respectively combined with TMB (tetramethylbenzidine) and ABTS (2, 2, 6, 6-tetramethylbenzidine) chromogenic substrates to form a four-channel sensing system. The method comprises the following steps: synthesizing hierarchical pore HP-UiO-66 by a template method; collecting the absorbance of each channel under the characteristic wavelength by using an array, and generating a specific fingerprint spectrum of the to-be-detected object; by combining mode recognition technologies such as linear discriminant analysis and the like, rapid and synchronous distinguishing and quantitative detection of at least eight antioxidants with similar structures such as glycyrrhizic acid and caffeic acid in the traditional Chinese medicine decoction are realized. According to the method, the catalysis and mass transfer efficiency is improved by regulating and controlling the pore structure of the nano-enzyme, the problem of multi-target synchronous recognition in a complex matrix is solved by utilizing array cross response, and the method has the advantages of simplicity and convenience in operation, high flux and good accuracy.

The application belongs to the technical field of analytical chemistry, and particularly relates to a preparation method and application of a dual-mode sensor based on ZnIn2S4 / Ag4V2O7 / PTCA heterojunction and CuFe2O4-AuNPs nanosensor. The preparation steps of the sensor are as follows: (1) ITO substrate pretreatment; (2) heterojunction modification layer construction; (3) antibody immobilization interface engineering; (4) biological recognition interface optimization; (5) antigen-antibody specific reaction; (6) signal probe assembly; (7) detection process. The CEA antigen solution is a standard or an actual biological sample.

Systems and methods for detecting a target species using a semiconductor nanosensor are generally described.

The application provides a kind of nanometer sensor monitoring method of fiber prepreg layer pressure, and relates to composite manufacturing process control technical field.The composite fiber prepreg interlayer pressure monitoring method provided by the application uses flexible pressure sensor with high elastic modulus multidimensional nanometer material, prepares monitoring unit according to the size and shape of composite fiber prepreg, uses monitoring unit to collect pressure data of each monitoring position between composite fiber prepreg layers and calculates the pressure value between composite fiber prepreg layers;According to the pressure value between composite fiber prepreg layers, the pressure distribution between composite fiber prepreg layers is monitored, the dynamic change of pressure field is accurately identified, the abnormal point data is captured in time, whether defect is caused in automatic layer loading process is confirmed, and the purpose of guiding process optimization is achieved.

The invention discloses a signal recovery and multi-source positioning method in turbulent flow molecule communication, and aims to realize multi-source positioning and obstacle perception through a sparse nano sensor in a turbulent flow diffusion molecule communication scene. A matrix completion algorithm based on symmetric truncated nuclear norm regularization and an alternating direction multiplier method is provided, and accurate data recovery is realized under the condition of a high missing rate by using spatial symmetry of molecular diffusion; aiming at multi-source positioning and obstacle perception, a sparse Bayesian learning-based adaptive iterative grid algorithm is provided, the positioning precision is improved through SBL, an off-grid error is reduced by using an adaptive iterative grid, and the position and radius of an obstacle are synchronously estimated. According to the invention, in a turbulence diffusion molecular communication scene with obstacles, when leakage occurs to a plurality of leakage sources, the target positions of all leakage sources and the obstacles can be positioned only by using the sparse molecular detectors, and the method is especially suitable for the turbulence diffusion molecular communication scene.

The invention relates to the technical field of detection and analysis, in particular to a sodium sarcosinate finished product quality detection device which comprises a detection table, a data processor, a feeding assembly, a detection cup assembly, a cup cover assembly, a connecting frame assembly and a mounting frame, a mounting groove is formed in the upper end of the detection table, and the feeding assembly is slidably mounted in the mounting groove; the cup detection assembly is movably installed above the feeding assembly, the connecting frame assembly is fixedly installed above one end of the detection table, the cup cover assembly is fixedly installed at the front end of the connecting frame assembly, a mounting frame is fixedly installed above the detection table, a first electric telescopic cylinder is fixedly installed above the mounting frame, and a second electric telescopic cylinder is fixedly installed above the first electric telescopic cylinder. By means of an automatic sample processing structure and a rapid detection structure, the detection process is greatly simplified, the detection efficiency is greatly improved, and the detection error is effectively reduced based on the advanced detection technology of the nano sensor and an accurate data processing algorithm.

This invention belongs to the field of water quality testing equipment, specifically relating to an online water odor detector based on a carbon nanotube sensor and its application. The online water odor detector based on a carbon nanotube sensor includes a treatment reaction tank, an inlet pipe and an outlet pipe connected to the treatment reaction tank, a cleaning pipe, a water odor detection sensor, and a PLC controller. The water odor detection sensor is electrically connected to the PLC controller. The water odor detection sensor includes an array of odor gas sensors, which is formed by surface modification of graphene material with conductive MOF material to create an array of olfactory chips for detecting odor substances. This invention provides a rapid and convenient method for detecting the concentration of odor substances in water.

A method for characterizing a tissue sample is disclosed, which includes placing at least one nanostructured sensor in contact with said tissue sample, wherein said nanostructured sensor includes at least one response characteristic exhibiting dependence on a refractive index of said tissue sample when said nanostructured sensor is in contact with said tissue sample; directing interrogating optical radiation at a plurality of frequencies to said nanostructured sensor; detecting, for each of said optical radiation frequencies, radiation redirected by or transmitted through said nanostructured sensor in response to said interrogating optical radiation; analyzing said detected redirected or transmitted radiation to determine said at least one response characteristic of said nanostructured sensor at each of said plurality of interrogating optical radiation frequencies; and determining at least one attribute of said tissue sample based on said determined at least one response characteristic at said interrogating optical radiation frequencies.

The application discloses a kind of based on three-channel nano enzyme array and the detection method and application of phenolic acid compound combined with random forest algorithm, which is as follows: 1) preparation three different sulfur-doped iron-based bimetallic nano enzyme and characterization is carried out;2) with three kinds of nano enzyme as sensing unit, three independent colorimetric detection channels are respectively constructed, and three-channel colorimetric sensing array is formed;3) the sample to be measured is added to the three-channel colorimetric sensing array constructed and reacted, the absorbance of each channel reaction product is determined, and a set of three-channel response signals are obtained;4) the three-channel response signal is input into the random forest model trained in advance, and the type information and / or concentration information of phenolic acid compound in the sample to be measured are obtained.The detection method of the application can realize rapid and efficient detection of five kinds of phenolic acids in traditional Chinese medicinal materials or food without expensive and complex instruments, with low detection cost, high sensitivity and short response time.

The application belongs to the field of food safety detection, and relates to a kind of multi-pesticide residue detection method based on Cu@MOF-808-NH2 nanoenzyme sensing array.The application first synthesizes Cu@MOF-808-NH2 nanoenzyme with phosphatase-like, laccase-like, peroxidase-like activity and fluorescence characteristics by hydrothermal method; then, the optimal reaction conditions of each enzymatic activity are systematically optimized, and a four-channel sensor array detection system is constructed; the application also comprehensively utilizes PCA method and HCA method to reduce the dimension of multi-dimensional response data, realizes cross-validation and qualitative identification of different types of pesticides through visual clustering and tree diagram analysis. Further, by analyzing the quantitative relationship between the response signal value of a specific channel and the pesticide concentration, a linear regression equation is constructed, and the precise quantification of the specific pesticide residue concentration in the sample under test is realized, which has the advantages of simple operation, good stability, strong anti-interference ability, wide applicability and the like.

The application discloses a carbon nano sensor with a gradient gradient pore structure and a preparation method and application thereof, and belongs to the field of structural health monitoring. The carbon nano sensor comprises a sensing base layer, a sensing layer and a flexible electrode; the sensing layer is located between the sensing base layer and the flexible electrode; the sensing layer is made by mixing at least two of zero-dimensional conductive nanomaterials, one-dimensional conductive nanomaterials, two-dimensional conductive nanomaterials and three-dimensional conductive nanomaterials and a surfactant; the sensing base layer is made of a high molecular polymer, and the pore structure of the sensing base layer gradually increases in the direction away from the sensing layer to form a gradient pore structure. The application can solve the defects of traditional sensor signal response lag, large measurement error and long-term performance attenuation, realize high-sensitivity, high-precision and high-stability collaborative perception of material structure states under complex working conditions, and provides a breakthrough technical scheme for the field of structural health monitoring.

The invention discloses an imidacloprid high-sensitivity rapid electrical analysis detection method based on a carbon nanosensor, and relates to the field of chemical analysis. The preparation method comprises the following steps: firstly, mixing a carbon nanotube and hexa [(trimethylsilyl) ethynyl] benzene in N, N-dimethylformamide, and continuously stirring; then adding CuCl, heating in a reaction kettle at 60 DEG C for 24 hours, filtering, washing and drying to obtain carbon nanotube-graphdiyne; dispersing the carbon nanotube at graphdiyne in ultrapure water, performing uniform ultrasonic treatment to obtain a suspension liquid, dropwise adding the suspension liquid to the surface of a polished glassy carbon electrode, and drying to obtain a modified electrode material, namely the carbon nanotube at graphdiyne / glassy carbon electrode; and preparing a to-be-detected solution containing a to-be-detected substance imidacloprid, finally inserting the modified electrode substance carbon nanotube and graphdiyne / glassy carbon electrode into the to-be-detected solution, and carrying out concentration determination by adopting a differential pulse voltammetry. According to the invention, rapid and high-sensitivity detection of imidacloprid is finally realized through preparation of the carbon nanotube-graphdiyne material, electrode modification and electrochemical determination in sequence.

The application is suitable for the technical field of pesticide detection, and provides a cyanogen-activated copper-based nanoenzyme array sensor and application thereof.The sensor comprises four independent sensing units, each of which is based on a copper-based nanoenzyme, and is arabinosyl cytosine-Cu, isophthalic acid-Cu, 5'-guanylate-Cu and thiazole-5-carboxylic acid-Cu respectively.The application selects four copper-based nanoenzymes as sensing pathways to construct a colorimetric pathway, which not only has extremely high selectivity, realizes rapid and convenient detection of second-generation pyrethroid pesticides, and does not need complex material design, and can realize on-site convenient detection of second-generation pyrethroid pesticides.

The invention relates to the technical field of drug delivery nano-robots, and discloses a control method of a DNA drug-loaded nano-robot. The method comprises the following steps: continuously collecting original biological environment data through a plurality of nano sensors integrated in a robot, and extracting key characteristic parameters to construct a dynamic environment characteristic spectrum after real-time data cleaning and format standardization processing; and calculating an instant release risk index in combination with real-time drug loading state parameters of the robot, starting a multi-path planning mechanism to generate a plurality of candidate paths when the index exceeds a safety threshold value, selecting an optimal path through interference influence evaluation, and adjusting a navigation trajectory. A complete closed loop from original data collection to intelligent decision making is achieved, traditional passive response is converted into active path planning based on multi-source information fusion through dynamic environment characteristic spectrum construction and an active risk early warning mechanism, the targeting accuracy and biological safety of drug delivery are improved, and the off-target release risk is reduced.

The invention discloses a mining hemispherical resonance inertial navigation gyroscope spacing adjusting device and adjusting method, and belongs to the technical field of inertial navigation, the device comprises a base assembly, a dual-mode cooperative adjusting unit, a temperature compensation module, an intrinsic safety control unit and an intelligent cooperative calibration unit; the top of the base assembly is provided with a dual-mode cooperative adjusting unit, the dual-mode cooperative adjusting unit is directly coupled with a temperature compensation module, and the temperature compensation module comprises a dual-path temperature sensor and a micro heating film hole PID temperature control circuit. The intelligent cooperative calibration unit drives the dual-mode cooperative adjustment unit to be linked with the temperature compensation module through an improved double-closed-loop PID algorithm. According to the gyroscope spacing adjusting device and method for the mining hemispherical resonance inertial navigation, nanoscale precision real-time dynamic adjustment of the hemispherical harmonic oscillator and the nano sensor and nanoscale precision real-time dynamic adjustment of the hemispherical harmonic oscillator and the detection capacitor are achieved, meanwhile, the intrinsic safety certification requirement is met, and the gyroscope spacing adjusting device and method are suitable for multi-scene use requirements.

This application discloses a method, device, and medium for fuel cell health diagnosis under the "four low" conditions of high-altitude areas, relating to the field of proton exchange membrane fuel cells. The method includes: real-time acquisition of key parameters of the fuel cell, such as voltage, current, ambient temperature, humidity, and oxygen concentration, based on nanosensors; processing various data using BIRCH clustering, multimodal fusion, and GCN model methods to obtain dynamic features, high-altitude environmental features, and static features; extracting the dynamic features into a Hankel matrix field based on the dynamic feature information; extracting the high-altitude environmental features and static features into a co-occurrence matrix field based on the high-altitude environmental features and the co-occurrence matrix field; standardizing and tensorizing the features into a three-dimensional space based on the Hankel matrix field and the co-occurrence matrix field; and fusing a multilayer perceptron using the sample entropy method to obtain the fuel cell diagnosis results for high-altitude areas based on the three-dimensional feature space. This application ensures the safe operation of the fuel cell system.

Various embodiments disclosed relate to a sensor assembly probe for determining enzymatic activity. The sensor assembly probe includes an aqueous medium including one or more fluorescent hydrophobic semi-conductive nanoparticles dispersed therein. The assembly further includes an ionic polymer coating at least a portion of a surface of the one or more fluorescent hydrophobic semi-conductive nanoparticles. The assembly further includes a substrate for an enzyme, the substrate disposed between at least two of the one or more fluorescent hydrophobic semi-conductive nanoparticles, the substrate including at least ionic group.

This invention provides nitrogen-doped sulfonated carbon dots for detecting ceftriaxone sodium, their preparation method, and their applications, belonging to the fields of nanomaterial synthesis and antibiotic detection technology. The method involves: dissolving sodium diphenylamine sulfonate and sodium hydroxide in deionized water under stirring and heating; applying a direct current to obtain a mixed solution; centrifuging, filtration, and dialysis of the mixed solution; and finally, freeze-drying to obtain carbon dots. The nitrogen-doped sulfonated carbon dots prepared by this method exhibit strong blue fluorescence emission, and show fluorescence quenching and a significant change in fluorescence color upon the addition of ceftriaxone sodium, making them suitable as fluorescent nanosensors for detecting ceftriaxone sodium. Furthermore, this invention, based on the ability of nitrogen-doped sulfonated carbon dots to rapidly and sensitively detect ceftriaxone sodium in real samples, provides a new method and material for applications in the fields of biology, food safety, and environmental monitoring.

An embodiment of the present invention provides a method for manufacturing a DNA / SWCNT nanosensor, the method comprising the steps of: forming a mixed solution in which a single-walled carbon nanotube (SWCNT) and a single-stranded DNA (ssDNA) sequence are mixed; sonicating the formed mixed solution to adsorb the single-stranded DNA (ssDNA) sequence onto the surface of the single-walled carbon nanotube (SWCNT); and removing impurities and aggregates through centrifugation.

The application provides a SERS nanosensor for detecting sulfonamide oxazole antibiotic and a preparation method, and belongs to the technical field of high polymer materials. The application adopts two high polymer materials, polyurethane (PU) and polyarylether oxime (PEA), to configure solutions with different proportions, and uses electrospinning technology to prepare PU-PEA nanofiber membranes with a special 'bead-net' structure. Then, a silver layer is coated on the PUx membrane, and heat annealing treatment is performed, so that a novel SERS flexible substrate is obtained. The optimized SERS flexible substrate has good stability and repeatability, and can detect as low as 10 ‑10 M sulfonamide methoxazole (SMZ) antibiotic.

The invention relates to a chemiresistive nanosensor based on polyglycerol-modified graphene oxide and bromophenol blue.

The invention belongs to the field of water quality detection equipment, and particularly relates to a water body online sniffing instrument based on a carbon nanosensor and application thereof. A water online sniffing instrument based on a carbon nano sensor comprises a treatment reaction tank, and a water inlet pipeline and a water outlet pipeline which are connected with the treatment reaction tank, and further comprises a cleaning pipeline, a water odor detection sensor and a PLC (Programmable Logic Controller), and the water odor detection sensor is electrically connected with the PLC; the water body odor detection sensor comprises an odor gas sensor array, and the odor gas sensor array is formed by performing surface modification on a graphene material by adopting a conductive MOF material to form an odor chip array for odor substance detection. The method is rapid and convenient to detect the concentration of the odor substances in the water body.

The invention relates to a self-powered wearable fetal movement monitoring device based on a magnetorheological elastomer and a use method of the self-powered wearable fetal movement monitoring device, and belongs to the technical field of sensor monitoring. The invention aims to solve the problems that in the existing fetal movement monitoring technology, a sensor is poor in attachment to the abdominal wall, needs external power supply, is susceptible to electromagnetic interference, cannot distinguish pregnant woman and fetal movement signals, and is difficult to associate and analyze the relationship between pregnant woman movement and fetal movement. The core of the technical scheme is that a flexible friction nano sensor based on a magnetorheological elastomer is adopted, and the sensor is composed of a skin-friendly latex film, a microstructure friction layer, a porous elastic supporting layer and a bottom flexible copper film with electrode and electromagnetic shielding functions; fetus activity signals are separated through a multi-sensor triangular layout and a signal compensation algorithm, and motion correlation analysis and self power supply are achieved by integrating an insole type energy collector. Long-term, continuous and accurate fetal movement monitoring can be achieved, comfort and safety are improved, and an effective means is provided for clinical and family monitoring.