75 results about "Nanosensor" patented technology

The present invention discloses a multi-modal system for real-time plant hydration monitoring and irrigation management. The system comprises at least one acoustic sensor configured to emit controlled sound waves through plant tissues and detect corresponding vibrations and resonance frequencies using sensitive microphones or piezoelectric sensors to assess plant hydration. The system includes at least one bioelectrical sensor for monitoring bioelectrical signals. At least one nanotechnology-based sensor is configured to detect molecular changes in water content within plant cells through embedded or externally applied nanosensors. An aerial imaging device mounted on an unmanned aerial vehicle captures data related to canopy temperature, leaf color, and hydration indicators using infrared, multi-spectral, and thermal cameras. A central processing unit receives and analyzes data using predictive models, integrates the data via data fusion algorithm to generate a plant hydration profile, and controls water delivery through an irrigation management unit based on the hydration profile.

The invention discloses a multi-parameter cooperative control method for non-excavation repair of a drainage pipe network in urban updating, and relates to the technical field of municipal engineering, and the method comprises the steps: firstly constructing a quantum entanglement sensing pipe network digital twinborn model, fusing multi-source data, monitoring micro-strain in real time through a nano sensor, deploying a self-organizing intelligent node and terahertz imaging equipment, and constructing a quantum entanglement sensing pipe network digital twinborn model; multi-dimensional features are extracted, repair parameters are dynamically regulated and controlled through technologies such as magnetofluid plugging and multi-robot cooperation based on digital twinning virtual simulation, finally, the repair effect is evaluated and the scheme is optimized in combination with cognitive calculation and microbial self-healing technologies, and full-process intelligent control is achieved. The intelligent level of non-excavation repair of the drainage pipe network is improved, the problem that traditional monitoring is one-sided is solved through high-precision data fusion, precise construction control is achieved through cooperation of magnetofluid leaking stoppage and the robot, durability is enhanced through the microorganism self-healing technology, repair quality and efficiency are improved, and urban updating and sustainable development are promoted.

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.

The invention provides a high-precision material defect detection method based on a nano sensor, and relates to the technical field of material defect detection.The method comprises the steps that S1, the nano sensor is provided and detects tiny defects on the surface or inside of a material, S2, the nano sensor is installed on the surface or inside of the material to be detected, and S3, the material to be detected is detected; and the material is monitored in real time through a sensor, and signals of potential defects in the material are obtained. According to the high-precision material defect detection method based on the nano sensor, the nano sensor and an advanced artificial intelligence algorithm are combined, so that high-precision identification of tiny defects in a material is realized. Defect type classification is carried out by using a random forest algorithm, and the image data and the signal feature data are subjected to conjoint analysis, so that accurate classification and positioning of multiple defect types are ensured.

The invention discloses a carbon nanosensor with a gradient pore structure and a preparation method and application thereof. The carbon nanosensor 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 prepared by mixing at least two of a zero-dimensional conductive nano-material, a one-dimensional conductive nano-material, a two-dimensional conductive nano-material and a three-dimensional conductive nano-material with a surfactant; the sensing base layer is prepared from a high-molecular polymer, and the pore structure of the sensing base layer is sequentially increased along the direction far away from the sensing layer to form a gradually-changed gradient pore structure. According to the invention, the defects of signal response lag, large measurement error, long-term performance degradation and the like of a traditional sensor can be overcome, high-sensitivity, high-precision and high-stability collaborative sensing of the material structure state under complex working conditions is realized, and a breakthrough technical scheme is provided for the field of structure health monitoring.

The invention provides a nano sensor monitoring method for pressure of a fiber prepreg laying layer, and relates to the technical field of composite material manufacturing process control. According to the method for monitoring the pressure between the composite material fiber prepreg layers, the flexible pressure sensor is provided with a multi-dimensional nano material with high elasticity modulus, and the monitoring unit is prepared according to the size and shape of the composite material fiber prepreg; a monitoring unit is used for collecting pressure data of each monitoring position between the composite fiber prepreg layers and calculating a pressure value between the composite fiber prepreg layers; according to the pressure value between the composite material fiber prepreg layers, the pressure distribution between the composite material fiber prepreg layers is monitored, the dynamic change of a pressure field is accurately identified, abnormal point data is timely captured, whether defects are caused in the automatic layer loading process or not is determined, and the purpose of guiding process optimization is achieved.

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 invention relates to the technical field of luminescent materials, in particular to a nano material and a preparation method and application thereof. The invention provides a nanometer material, the nanometer material is NaYbF4: Er (at) NaYF4 (at) Cy7.5 (at) DPPC, the nanometer material comprises a core-shell structure with the component of NaYbF4: Er (at) NaYF4, and the core-shell structure is modified with DPPC and compounded with Cy7.5. When the nano material provided by the invention is used for an optical nano indicator or sensor for detecting the membrane potential under an NIR-IIb window, the sensor generates emitted light (1500-1700nm) under the NIR-IIb window under the excitation of 808nm near-infrared incident light. By utilizing the nano sensor, the membrane potential change of cells marked by the sensor can be visually detected by means of optical imaging.

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.

The invention discloses a preparation method of brassinolide derived carbon quantum dots and application of the brassinolide derived carbon quantum dots in plant hormone receptor detection. According to the method, BRs is used as a precursor, CQDs with a BRs semi-reserved structure are prepared through co-carbonization with citric acid, and the nano material with the particle size of 3.1 + / -0.5 nm and the surface rich in hydroxyl / keto is obtained after dialysis and purification. When the CQDs are combined with the BRs receptors, the fluorescence intensity of the CQDs is linearly enhanced along with the concentration of the receptors, the nano sensor constructed based on the CQDs can realize rapid quantitative detection of the BRs receptors in rice leaves, the linear range is 0.01-4.0 mg / mL, the detection limit is as low as 0.003 mg / mL, and the sensitivity is improved by 10 times compared with that of ELISA (Enzyme-Linked Immunosorbent Assay). By detecting the receptor expression quantity of a wild type and BRs receptor overexpression strain in a germination period, a heading period and a mature period, it is verified that the result of the strain is highly consistent with that of Western Blot, and the detection time is shortened to 30 minutes. The method does not need targeted modification, has the advantages of high specificity, interference resistance and low cost, and provides an efficient detection tool for rice molecular breeding and stress resistance regulation.

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 relates to a bearing-energy storage-structure health monitoring integrated composite material and application, and belongs to the field of functional composite materials. Structural health monitoring is realized through a quantum tunneling effect of the nano sensor under ultrasonic excitation, and mutual conversion between electric energy and chemical energy is completed through electronic physical adsorption or chemical reaction so as to realize energy storage capacity. Good aerodynamic configuration of the aircraft can be guaranteed, mechanical property requirements of structural load bearing can be met, structural weight and size can be reduced, electric energy can be stored to supply power to the aircraft locally, and structural health monitoring capability of the embedded nano sensor is matched, so that reliability of the aircraft is improved. The composite material intelligent skin structure integrating bearing, energy storage and health monitoring is 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 invention describes synthesis of a novel self-assembled organic nano sensor. The self-assembled organic nano sensor takes naphthalene sulfonate as a framework, and the size distribution is 40-2000 nanometers. The autofluorescence of the self-assembled organic nano sensor is very low, but the fluorescence activity is very high in the presence of albumin, so that the signal-to-noise ratio is very high. The generated fluorescence is in direct proportion to the concentration of albumin, and can be used for quantifying albumin in a sample. The self-assembled organic nano sensor can be used for linearly quantifying the albumin concentration in a range of 0.1 mg / L-3500mg / L. After the self-assembled organic nano sensor is introduced into a sample containing albumin for 5-10 seconds, the nano sensor can emit fluorescence. Through interaction with the self-assembled organic nano sensor, albumin in an aqueous solution shows stability of 20 days, and the stability is kept between-80 DEG C and + 95 DEG C.

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 discloses a semiconductor aging test method and system, relating to the fields of artificial intelligence and automated testing. The method includes: collecting semiconductor performance parameters and preprocessing them; building a quantum platform; deploying a nanosensor network to monitor the semiconductor and obtain semiconductor monitoring data; constructing an aging prediction model; determining the aging degree of the semiconductor based on the collected performance parameters; parsing the semiconductor monitoring data to obtain semiconductor state information; and combining the aging degree and state information to form a complete semiconductor test result. Furthermore, a short-time Fourier transform is used to generate a time-frequency graph of the semiconductor monitoring data in the time-frequency domain. This method captures the trend of microstructural changes, which helps in the early detection of potential problems.

Described herein are systems and methods for intracellular imaging, assessment, and / or treatment of tissue before, during, and / or after surgical procedures using nanoparticles (e.g., less than 50 nanometers in diameter, e.g., photoswitchable nanoparticles) and / or a super-resolution microscope system. The present disclosure describes nanoparticles (e.g., nanosensors and photoswitchable nanoparticles) that are used to monitor and / or track changes in environmental conditions and / or analytes in the cellular microenvironment before, during, and / or after surgical procedures. The present disclosure also describes systems and methods that provide information related to the distribution and / or delivery of photoswitchable nanoparticles at super resolution (e.g., using super-resolution microscopy).

The invention belongs to the field of food safety detection, and relates to a method for detecting multiple pesticide residues based on a Cu (at) MOF-808-NH2 nano-enzyme sensing array. The preparation method comprises the following steps: firstly, synthesizing Cu (at) MOF-808-NH2 nano-enzyme with phosphatase sample activity, laccase sample activity, peroxidase sample activity and fluorescence characteristics through a hydrothermal method; then systematically optimizing the optimal reaction condition of each enzymatic activity, and constructing a four-channel sensor array detection system; according to the invention, a PCA method and an HCA method are comprehensively utilized to carry out dimension reduction processing on multi-dimensional response data, and cross validation and qualitative identification of different types of pesticides are realized through visual clustering and tree diagram analysis. Furthermore, by analyzing the quantitative relation between the specific channel response signal value and the pesticide concentration, a linear regression equation is constructed, accurate quantification of the specific pesticide residue concentration in the to-be-detected sample is achieved, and the method has the advantages of being easy and convenient to operate, good in stability, high in anti-interference capacity, wide in applicability and the like.

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.

The present invention discloses a green reduced gold nanoparticle composite nanomaterial, its preparation method, and application. The nanomaterial comprises amino-ion graphene and amino acid-reduced and amino acid-coated gold nanoparticles. This nanocomposite material significantly increases the effective electrode area and has promising application prospects in the field of nanosensors. It can also serve as a universal antibody immobilization interface, potentially enabling the detection of a range of immune response markers.

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.

A triboelectric nanosensor includes an elastic body, a liquid metal and a wire. The elastic body includes an inner wall surrounding a chamber, and a plurality of biomimetic shark placoid scale-shaped microstructures adjacent to each other and disposed at at least one portion of the inner wall. The liquid metal is located within the chamber and surrounded by the elastic body. The wire is electrically connected to the liquid metal. The elastic body is pressed to be deformed and restores to change a contact state between the liquid metal and the biomimetic shark placoid scale-shaped microstructures, thereby allowing a plurality of electrons to flow into the liquid metal via the wire or to flow out from the liquid metal via the wire.

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.

An optical core-shell microfibrous textile incorporates single-walled carbon nanotubes (SWCNTs) for the real-time optical monitoring of hydrogen peroxide concentrations and other biochemicals in in vitro wounds. The environmentally sensitive and non-photo-bleachable fluorescence of SWCNTs enable continuous analyte monitoring without a decay in signal over time. The microfibrous textiles spatially resolve chemical indicator concentrations using a camera and are integrated into commercial wound bandages without significant degradation in their optical properties.