826 results about "Microfluidics" patented technology

The invention relates to the technical field of atmospheric biological aerosol sampling and detection, in particular to a particle size resolution type aerosol in-situ sampling and analysis integrated system and method. The system comprises an electrostatic field grading aerosol sampler, a micro-fluidic detection chip based on an immunochromatography principle and an image acquisition and data analysis unit, according to the electrostatic field grading aerosol sampler, biological aerosol particles are electrified through a charge tube, and grading capture according to particle sizes is realized in a stepped electrostatic field; the micro-fluidic detection chip transfers an enriched sample to a multi-layer structure micro-fluidic chip, and a specific reaction is completed based on an immunochromatography principle; and the image acquisition and data analysis unit captures a color developing image through a high-definition camera, and adopts an RGB analysis algorithm to realize quantitative detection. The method realizes full-process automation from sampling to analysis, solves the problems of low efficiency and tedious operation of a traditional method, and has the advantages of high detection speed, high sensitivity, no need of harmful reagents, environmental friendliness and the like.

The invention relates to the technical field of micromolecule mineral water monitoring, and discloses a micromolecule mineral water quality monitoring system based on an intelligent sensor. The system comprises a multi-channel spectrum sensor array, an ion selective field effect transistor group, a microfluidic preprocessing module, a dynamic compensation database, a self-adaptive analysis engine, a cloud verification interface and a feedback execution mechanism. The micro-fluidic pretreatment module is used for eliminating bubbles of an original water sample, screening particles and outputting stable liquid flow; the spectrum sensor array captures full-band absorption spectrum data to generate a characteristic matrix, and the transistor group detects concentration fluctuation of calcium ions, magnesium ions and silicate; the adaptive analysis engine performs multi-modal fusion and abnormal marking on the time sequence alignment data stream; the cloud interface performs cross validation on the local result and the regional water quality center reference library to generate a credibility report; and the feedback execution mechanism adjusts the microfluidic flow velocity and the sensor integration time according to a report to realize efficient water quality monitoring.

The invention discloses a system and a method for rapidly detecting trace active ingredients of a medicine, belongs to the technical field of medicine detection, and relates to cross application of surface enhanced Raman spectroscopy and artificial intelligence. The system comprises a sample preparation module, a micro-fluidic enrichment module, a Raman spectrum acquisition module, a self-adaptive spectrum analysis module, a multi-component identification module and an intelligent report generation module, and efficient enrichment and nanogram-level detection of drug molecules are realized through an enhanced surface Raman scattering micro-fluidic chip. Intelligent identification and accurate quantification of complex spectral characteristics are realized by adopting a deep learning algorithm and a self-adaptive weight calculation method, synchronous detection of 5-10 active pharmaceutical ingredients is supported, the detection sensitivity reaches nanogram / milliliter level, the quantification error is less than 5%, the detection time of the whole process is 5-10 minutes, and the detection accuracy is high. The sensitivity, the accuracy and the efficiency of medicine quality detection are obviously improved.

The invention relates to the technical field of optical fiber sensing, and provides a micro-fluidic temperature and salt control two-parameter optical fiber sensor based on an anti-resonance effect and a preparation method and a test system thereof, the optical fiber sensor comprises a leading-in single-mode optical fiber, a hollow-core tubular optical fiber, a side single-hole double-core optical fiber and a leading-out single-mode optical fiber which are cascaded in sequence; a micro-groove is etched at the cladding of the fusion welding end of the introduction single-mode fiber and the hollow-core tubular fiber; the side wall of the hollow-core tubular optical fiber is etched with a micro-channel which vertically penetrates through the cladding of the hollow-core tubular optical fiber. The side single-hole double-core optical fiber is located between the hollow-core tubular optical fiber and the leading-out single-mode optical fiber, and an air hole parallel to the axial direction is formed in the side single-hole double-core optical fiber to form a fluid outflow channel; through the scheme, the response speed and the detection sensitivity are improved.

A point-of-care device and method for simultaneously and quantitatively assessing a magnetically-labelled analyte immobilised on a lateral flow test strip are provided. The method comprises the steps of sensing a magnetic signal from the magnetically-labelled analyte on the test strip and converting the magnetic signal into an electric signal; processing the electric signal to obtain a quantitative value of the amount of analyte; and processing the values to provide a differential assessment between the magnetically-labelled analyte. The device includes a magnetic reader with at least one magnetic sensor, such as a giant magnetoresistive sensor. The magnetic sensor can be directly or indirectly coupled to a lock-in amplifier configured to perform phase-sensitive detection and enhance the signal-to-noise ratio of weak magnetic signals. A system, microfluidics device, lateral flow immunoassay test strip and kit are also provided.

The invention relates to the technical field of microfluidic drug delivery, and discloses an oral drug precise delivery and curative effect evaluation system based on microfluidics. The system comprises a signal acquisition and processing module, an instance identification and feature extraction module, and a path generation and curative effect evaluation module. The signal acquisition and processing module continuously acquires multi-dimensional signals of oral drug delivery through the microfluidic sensing array, and the multi-dimensional signals are integrated into a unified data stream after real-time correction and structure standardization. An instance identification module identifies a delivery instance therefrom, extracts a temporal identity, a spatial location descriptor, and a drug classification identifier. The path generation module divides intervals in combination with the time identifiers, aligns the spatial information to the standard oral cavity model, and generates a drug delivery path time sequence record. And the curative effect evaluation module calculates the drug distribution density of the target area according to drug classification aggregation examples, generates a curative effect evaluation data set, and realizes the precision of drug delivery monitoring and curative effect evaluation.

A microfluidic 3D-printed hydrogel based on fish liver decellularized extracellular matrix for liver regeneration and a preparation method. The hydrogel is prepared by means of combining fish liver decellularized extracellular matrix (dECM) and gelatin methacryloyl (GelMA), and loading induced pluripotent stem cell-derived hepatocytes (iPSC-heps) for liver regeneration. The microfluidic 3D-printed hydrogel based on fish liver decellularized extracellular matrix exhibits excellent biocompatibility, retains intact endogenous growth factors, maintains the biological activity of cells, ensures the effective encapsulation of the cells, and facilitates the robust functional expression of the iPSC-heps. After in-vivo transplantation, the survival rate and liver function of mice with acute liver failure are significantly improved, and liver regeneration and repair are promoted.

The invention discloses a microfluidic image flow cytometry identification system and a microfluidic image flow cytometry identification method based on multi-modal phase imaging and deep learning, relates to a microfluidic image flow cytometry detection technology, and belongs to the crossing field of microfluidics, optical imaging and artificial intelligence. The cell deformation chip is used for inducing a cell sample to generate controllable deformation through the cell deformation chip and discharging deformed cells; the optical imaging unit is used for scanning the deformed cells and collecting multi-modal phase images of the deformed cells; the data processing and analysis unit is used for preprocessing the multi-modal phase image and performing cell intelligent identification analysis on the preprocessed multi-modal phase image by using a deep learning feature extraction network, so that accurate identification and classification of cells are realized, and a leukocyte subpopulation identification model is constructed; and generating a cell imaging result and a cell mechanical parameter thermodynamic diagram. According to the invention, label-free identification of leukocyte subgroups is realized, and the problems of tedious operation and cell damage of traditional fluorescence labeling are solved.

The invention belongs to the technical field of oil and gas field development engineering, and particularly relates to a construction method of an emulsion generation kinetic model. The method is based on a micro-fluidic experiment, comprehensively considers seven factors of pore throat radius, pore throat form, pore throat coordination number, displacement environment temperature, surfactant concentration, injection speed and crude oil viscosity, and determines an undetermined coefficient of a function by utilizing a least square method through single factor analysis and orthogonal experiment scheme design; therefore, the functional relationship among the pore throat radius, the pore throat form, the pore throat coordination number, the displacement environment temperature, the surfactant concentration, the injection speed, the crude oil viscosity and the emulsion generation rate and the generation radius is defined, and an emulsion generation kinetic model is constructed, so that an emulsion generation theoretical system under the multi-factor coupling effect is perfected; and reference is provided for other similar chemical flooding.

The invention discloses an experiment-numerical value-machine learning fusion-based in-oil liquid drop electric field dynamics modeling and regulation method, which comprises the following steps of: firstly, constructing a high-voltage electric field liquid drop experiment system, and testing oil liquid drop experiment data in oil; then establishing a multi-physics field coupling model, and describing deformation and flow field evolution of oil drops in oil under a strong electric field; and finally, constructing a BP neural network and optimizing an initial weight and a threshold value to realize rapid prediction of the deformation behavior of the oil drops in the oil under the action of the electric field. According to the method, an experimental characterization-numerical solution-machine learning optimization three-layer collaborative system is constructed, a whole-process closed loop from physical property determination, equation solution to algorithm prediction is realized, and droplet deformation, charge distribution and interface response are rapidly predicted under the conditions of different electric field intensities, temperatures and emulsifier concentrations; and active control of electric field behaviors can be realized through parameter reverse adjustment, and reliable modeling and optimization basis is provided for an electrowetting chip, a flexible EHD pump and a microfluidic liquid drop regulation and control system.

The invention discloses multi-response microgel with an ultrathin shell layer and a preparation method of the multi-response microgel, and relates to the technical field of gel. The preparation method comprises the following steps: preparing an inner oil phase, a middle water phase and an outer oil phase; respectively injecting the inner oil phase, the intermediate water phase and the outer oil phase into a microfluidic device to obtain O / G / O type double emulsion microgel; and carrying out a cross-linking reaction on the double emulsion and a cross-linking agent, thereby obtaining the product. According to the preparation method disclosed by the invention, the O / G / O type double-emulsion microgel with a core-shell structure is successfully prepared by taking corn oil, gelatin and sodium alginate as main raw materials by adopting a micro-fluidic technology, so that the embedding rate of a target object can be improved, and active adsorption and embedding of active substances are realized; the emulsion microgel is further subjected to cross-linking modification, through cross-linking modification, the stability and strength of the O / G / O type double emulsion microgel structure after swelling adsorption are improved, the shell layer of the microgel is converted into a nano-scale thin film from a micron-scale thin film, and the multi-response microgel with an ultrathin shell layer is formed.

The invention discloses porous carbon with a gradient structure, a preparation method of the porous carbon and application of the porous carbon in a negative electrode of a lithium ion battery. The porous carbon has a gradient structure with compact micropores on the surface and loose macropores inside. The preparation method of the porous carbon comprises the following steps: carrying out oleophylic modification on SiO2 to obtain hydrophobic SiO2; carrying out hydrophilic coating on NH4Cl to obtain PVP (Polyvinyl Pyrrolidone) coated NH4Cl; the preparation method comprises the following steps: mixing coal pitch, methylbenzene, oleic acid, hydrophobic SiO2 and PVP (at) NH4Cl to form a suspension; preparing a spherical precursor by a micro-fluidic emulsification method; and carbonizing, sequentially carrying out oxygen plasma treatment and HF solution etching, and removing the template to obtain the porous carbon with the gradient structure. The gradient distribution of the template and the pore-forming agent is realized through surface modification difference and a microfluidic technology, the pore structure and the particle size can be accurately regulated and controlled, the process is simple, the compatibility is high, the prepared porous carbon can be used as a substrate for a silicon-carbon composite negative electrode material, the volume expansion of silicon can be effectively buffered, and the service life of the silicon-carbon composite negative electrode material is prolonged. And the first coulombic efficiency, the specific capacity and the cycling stability of the lithium ion battery are improved.

The invention discloses preparation and application of a rabies virus G protein mRNA vaccine freeze-drying preparation, and relates to the field of veterinary biological products. According to the invention, rabies virus G protein mRNA is prepared on a large scale through an in-vitro transcription technology, and an mRNA-LNP (lipid nanoparticle) delivery system is successfully constructed by adopting a microfluidic encapsulation process. Through freeze-drying protective agent formula screening (including cane sugar, trehalose and mannitol) and freeze-drying procedure parameter optimization (including pre-freezing temperature, main drying rate and secondary drying residual moisture control), the freeze-dried mRNA vaccine preparation which can stably exist under the condition of 4 DEG C is finally obtained.

This invention discloses a microfluidic injection pump, comprising: a base, a transmission mechanism, and a universal fixing mechanism; a touch screen is mounted on the base for controlling the use of the microfluidic injection pump; the transmission mechanism includes a drive component and an injection pusher, the injection pusher being mounted on the drive component, and the drive component driving the injection pusher to move horizontally, thus moving the syringe piston rod; the universal fixing mechanism includes an upper positioning seat and a lower positioning seat. This invention can securely fix syringes of any size and shape without causing any damage or deformation, effectively avoiding reduced accuracy of the microfluidic injection pump due to syringe shaking or damage / deformation. Furthermore, it can automatically fix multiple sets of syringes of different sizes and shapes without requiring excessive manual operation, saving time and effort and improving the efficiency of the microfluidic injection pump.

A three-dimensional (3D) microelectrode array device for in vitro electrophysiological applications includes a substrate and micro vias extending from the bottom face to the top face of the substrate. A microneedle at each micro via extends from the bottom face upward beyond the top face and forms a hypodermic microneedle array on the top face. Metallic traces on the bottom face interconnect the hypodermic microneedles to form the 3D microelectrode array. A microheater is positioned on the bottom face of the substrate. Microfluidic ports may be formed at the substrate. Interdigitated electrodes may be formed at the substrate.

The invention relates to the field of food pesticide residue detection, and particularly discloses a food pesticide residue data acquisition device, which comprises a shell, a sample pretreatment assembly, a detection module, a data processing module, a communication module and a power supply module, wherein the sample pretreatment assembly comprises a sample inlet bin formed in the shell, a sealing cover plate is slidably mounted on the surface of the shell and located at the top of the sample inlet bin, and a micro motor is fixedly mounted in an inner cavity of the shell and located at the bottom of the sample inlet bin; the data acquisition device for food pesticide residues has the beneficial effects that the miniature crushing blade and the solvent release pipe are integrated in the sample inlet bin, and the micro-fluidic main chip is arranged under the sample inlet bin, so that sample crushing, solvent extraction, mixing, reaction and split-flow detection are automatically completed in a closed system, manual intervention is not needed, and the detection efficiency is improved. The detection efficiency and repeatability are remarkably improved, and cross contamination and operation errors are effectively avoided.

This application relates to the field of functional crystalline material preparation and microfluidic application technology, specifically disclosing a method and product for preparing formate crystals using core-shell microcapsules, including the following steps: (1) dissolving a solid alkaline raw material in a formic acid solution to prepare reaction solution a; (2) separately conveying polymer solution A and polymer solution B with phase separation characteristics, and reaction solution a, so that they are mixed at the intersection of microchannels to prepare dispersed phase b, which is then introduced into the assembly zone for phase separation assembly to form core-shell microcapsules; (3) the core-shell microcapsules are crystallized in a continuous temperature-changing crystallization zone to form formate solid; (4) the formate solid is collected, washed and dried sequentially to obtain the target product; (5) the oil layer is continuously extracted and returned to the assembly zone for recycling. The formate crystals prepared in this application not only have a large particle size, but also exhibit good size uniformity and morphological repeatability, and have the advantages of high throughput, green environmental protection, and simple operation.

The invention discloses a programmable self-adaptive flow resistance regulation and control super-structure single-medium microfluidic drug delivery system, and relates to the field of medical treatment, the system introduces the concept of single-medium metamaterials, namely SMMs, adopts a brand new design concept based on an isotropic layered structure, and can be applied to the field of drug delivery, such as drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery, drug delivery and drug delivery. According to the system, on the basis of structural symmetry, accurate and programmable dynamic response to a micro-physiological environment with anisotropic characteristics is achieved, effective viscosity distribution is accurately adjusted in the radial direction and the azimuth angle direction, multiple key micro-flow modes can be achieved through SMMs in combination with an engineered spiral layered configuration, and the stability of the system is improved. Comprising a controllable rotating flow field, a directional release channel based on a fluid cloak effect and an efficient enrichment mechanism driven by a local concentration gradient. According to the technical scheme provided by the invention, a practical and extensible solution thought is provided for precise fluid control in a micro-scale environment.

The invention discloses a controllable nanorod array SERS (Surface Enhanced Raman Scattering) chip-based digital detection device for a serous ovarian cancer exosome phenotype as well as a detection method and application thereof, and relates to the technical field of biological detection. The device comprises a controllable nanorod array module, a high-sensitivity SERS probe module, an integrated microfluidic platform module and a digital analysis module. The controllable nanorod array module is used for accurately capturing a single exosome; the SERS probe module realizes specific recognition of multiple biomarkers on the surface of the exosome by conjugating a specific antibody and a Raman reporter molecule; the micro-fluidic platform module integrates filtering, reaction and imaging functions, so that high-throughput and automatic detection is realized; and the digital analysis module completes qualitative and quantitative analysis of exosome phenotypes. The problems that a traditional detection technology cannot analyze the phenotype difference of single exosomes, the sensitivity is low and the flux is insufficient are solved, early accurate diagnosis of the serous ovarian cancer can be achieved, and the kit has wide clinical application prospects.

The application discloses a kind of artificial cells for single-cell mass spectrometry and preparation method thereof, wherein artificial cell includes internal water phase, intermediate oil phase and external water phase;Internal water phase includes polyethylene glycol and polyvinyl alcohol aqueous solution, intermediate oil phase includes L-alpha-phosphatidylcholine chloroform and hexane mixture;External water phase includes PVA and F-68 aqueous solution.Compared with natural cell sample, the novel artificial single cell based on microfluidic self-assembly developed in the application has better uniformity, stability and controllability, effectively avoids significant measurement difference between single-cell individual samples, and effectively solves the problem of difficult stable preservation of biological samples.The proposed artificial cell preparation method will largely solve the problem of lack of standard reference material in the field of single-cell mass spectrometry, making the results of single-cell mass spectrometry method more accurate, reliable and mutually recognized.

The invention provides a magnetic interface open type fluid chip and a preparation method thereof, and belongs to the technical field of microfluidics and millifluidics. The method comprises the following steps: performing standardization treatment on ferroferric oxide powder to obtain magnetic hydrophobic particles; then wrapping the target liquid with the particles through controllable shaking to form a smooth liquid cake with a magnetic response core-shell structure; dehydrating the smooth liquid cake through programmed stepped heating evaporation treatment to form a wrinkled liquid cake; and finally, cutting and shaping the wrinkled liquid cake by using laser to obtain the magnetic interface open type fluid chip. The magnetic particles form a stable wrapping layer on a liquid-gas interface, so that the chip structure can stably exist in the air without being supported by an oil phase; meanwhile, the optical fiber laser is used for accurately cutting the liquid cake, the channel configuration can be flexibly reconstructed on site according to requirements, and the problems that in the prior art, the environment dependence is high, and the configuration is solidified are effectively solved.

The invention discloses a fast charging station fire real-time monitoring prediction and automatic suppression system, and relates to the technical field of fire protection engineering and safety, and the system comprises a chain reaction interruption module which comprises a solid free radical quencher release unit preset between battery modules, the micro-fluidic gas analysis chip is used for detecting the early-stage characteristic gas of the thermal runaway of the battery; the distributed emergency energy scheduling module is connected with the direct current bus of each charging pile and is used for directionally scheduling the electric energy of the adjacent charging piles which are not influenced to a fire fighting system during fire early warning; and the cross validation prediction engine is used for identifying an abnormal state that a single sensor may fail to report through comparative analysis based on the synchronous sensing data of the plurality of charging piles in the same charging cluster. The technical problems that monitoring and early warning are lagged, security holes exist in dependence on power supply of a main power grid, the single-point data false report and missing report rate is high, and the battery thermal runaway chain reaction is difficult to effectively block due to extensive fire extinguishing means in the prior art are solved.

The invention discloses a method for preparing chitosan-polyanion nanoparticles based on a microfluidic mixing technology and application. The method comprises the following steps: preparing a water phase 1 as a chitosan acidic aqueous solution, preparing a water phase 2 as a polyanion aqueous solution, and adding a surfactant; by utilizing a microfluidic device and a microfluidic mixer / chip, continuously injecting the two phases according to a set total flow rate and a flow rate ratio, and quickly mixing in a microscale channel, so that the chitosan and the polyanions are subjected to electrostatic compounding and / or ionic cross-linking to form nano-particles; the resulting dispersion is filtered to remove agglomerates and converge the particle size distribution. The aqueous phase 2 may further comprise an anionic drug or active ingredient, preferably a nucleic acid species, to produce supported nanoparticles. The obtained dispersion liquid can be stored at 0-8 DEG C for a short time, or freeze-dried after being added with a cryoprotectant to obtain powder. The process provided by the invention can be continuously amplified, and the particle size consistency and dispersion stability are improved. The nanoparticles are used to deliver the anionic drug or active ingredient into a cell or tissue.

A deep learning-based method and system for statistical analysis of fluorescence proportion information in microfluidic droplet arrays, belonging to the field of ddPCR detection technology, includes the following steps: S1 acquiring a three-dimensional fluorescence volume image of the droplets and performing preprocessing; S2 constructing a DropletSegNet model; S3 pre-training the DropletSegNet model constructed in S2; S4 using the three-dimensional fluorescence volume image to be tested as input to the DropletSegNet model, and transforming the original output of the DropletSegNet model into droplet analysis results with physical meaning and biological interpretability. A droplet stacking topology decoupling module is designed, modeling the adhesion decoupling as an edge classification problem on a graph structure, and using a graph neural network (GCN) for structured post-processing. This achieves accurate decoupling and segmentation even in cases of tight droplet stacking or adhesion, improving the accuracy of nucleic acid concentration calculation and positive proportion statistics.

The application provides a full-passive microfluidic whole blood sample preparation device, which comprises, from bottom to top, a bottom support layer, a bottom hydrophilic layer, a bottom adhesive layer, a middle main body layer, a liquid outlet channel layer, an upper surface hydrophilic layer of the liquid outlet channel, a first intermediate adhesive layer, an upper layer main body layer, a second intermediate adhesive layer, a top cover layer and a product collection and storage cavity sealing patch which are laminated and assembled in sequence. The application does not need any external driving force or active surface treatment, and only relies on the material properties and ingenious structure design, so that the plasma / serum can be automatically and efficiently separated from trace whole blood, and the application has the advantages of simple structure, low cost, convenient operation, one-time use, instant detection application and the like.

The invention relates to a microfluidic device (1) for automatic microscopic imaging of bioorganisms, wherein the device (1) comprises a plurality of chambers (2) configured to receive individual bioorganisms, wherein the microfluidic device (1) comprises an alignment portion (3) arranged at a predetermined position and orientation with respect to the chambers (2), wherein the alignment portion (3) comprises a plurality of markers arranged in a pattern (5), wherein the markers (4) of the pattern (5) are arranged with respect to a central point (6) of the pattern (5) such that for any position of a field of view comprising only a fraction of the pattern (5), an automatic centering procedure of the field of view toward or to the central point (6) of the pattern (5) is derivable. The invention further relates to microscope systems for automatic microscopic imaging of bioorganisms, a method for automatized microscopic imaging of bioorganisms using a microscope system, a computer program as well as a method for manufacturing the microfluidic device (1) for automatic microscopic imaging of bioorganisms.