1545 results about "Volatile organic compound" patented technology

The invention discloses a pure bio-based polyhydroxyalkanoate adhesive as well as preparation and application thereof, and belongs to the technical field of degradable adhesives. According to the adhesive, polyhydroxybutyrate valerate or polyhydroxybutyrate hexanoate is used as a matrix, and the acid value reaches 2-15 mg KOH / g through molten end group activation; a reactive emulsifier with a hydrophilic-lipophilic balance value of 9-12 is introduced into a water phase, and the stable aqueous dispersion is prepared through phase inversion high-shear emulsification. The Z-average particle size of the dispersion is 0.12-0.30 [mu] m, and the content of the free surfactant is not higher than 30wt%. After the tackifying resin, the plasticizer and the vegetable wax are compounded, the bio-based carbon content of the obtained adhesive is not lower than 95%, and the volatile organic compound content is not higher than 100 mg / kg. The paper / paper heat sealing strength of the adhesive is not lower than 7.0 N / 15mm, the 180-degree peel strength is not lower than 7.5 N / 25mm, and the adhesive can pass repulping evaluation.

The invention discloses a water-based multi-layer degradable self-polishing ship antifouling coating system and a preparation method thereof, and belongs to the field of marine anticorrosion and antifouling materials. The system is composed of a zinc-rich primer, a modified epoxy intermediate paint and a functionalized finish paint. The finish paint takes polyhydroxyalkanoate as a matrix, and integrates a self-stratification modifier capable of forming a silicon-rich top layer during curing and a latent dual-curing system capable of realizing normal-temperature curing through a synergistic effect. According to the present invention, the mixing mechanism of dynamic self-polishing and static fouling release is adopted, and the innovative curing technology is combined, such that the long working life, the excellent mechanical property and the long-acting antifouling ability are achieved. The drawing adhesive force of the system is not lower than 7.9 MPa, and the environment-friendly requirements that the content of volatile organic compounds is smaller than or equal to 50 g / L, and the content of free diisocyanate monomers is smaller than or equal to 0.1 wt% are met.

The invention provides a sand and dust scene atmosphere pollution source identification method and system, computer equipment and a medium, and belongs to the field of environmental pollution analys.The method comprises the steps that the types of volatile organic compounds and the types of fine particulate matter PM2.5 in the atmosphere of a sand and dust scene to be identified in a target area are identified, and the concentration of the volatile organic compounds and the concentration of the fine particulate matter PM2.5 are measured; carrying out mineral dust proportion calculation on the types of the fine particulate matters PM2.5 and the concentration of the fine particulate matters PM2.5 to obtain a mineral dust quantification result, and determining a dust source contribution weight according to the active metal increment in the mineral dust quantification result; and performing positive matrix decomposition prediction on the types of the volatile organic compounds, the concentration of the volatile organic compounds, the types of the fine particulate matters PM2.5 and the concentration of the fine particulate matters PM2.5 based on the dust source contribution weight, and determining the pollution source contribution proportion of the atmosphere of the sand and dust scene to be identified. According to the method, the accuracy of pollution source identification is guaranteed, and a basic guarantee is provided for subsequent pollution source treatment.

The invention discloses an acrylic acid composite emulsion coating and a preparation method thereof, and relates to the technical field of novel coatings. The acrylic acid composite emulsion coating comprises the following components in parts by mass: 30-50 parts of an acrylate monomer mixture, 1-8 parts of a functional monomer, 0.5-3 parts of a protective colloid, 1.5-5 parts of an emulsifier, 0.2-1.5 parts of an initiator, 40-60 parts of deionized water and 1-3 parts of a weather-resistant agent. The coating adopts a water-based system and takes water as a dispersion medium, so that the use of an organic solvent is reduced, the emission of volatile organic compounds (VOC) is remarkably reduced, and the coating is more environment-friendly. By adding the weather-resistant agent with a specific structure, free radicals can be effectively captured, an oxidation chain reaction can be interrupted, and the weather resistance of the coating is improved through the synergistic effect of multiple mechanisms, so that the phenomena of pulverization, color fading, cracking and the like are unlikely to occur under the action of environmental factors such as ultraviolet rays, oxygen and water vapor.

An apparatus and method for determining the presence of a disease by analyzing a specimen by providing a vial partially containing the specimen and partially containing a headspace above the specimen, injecting an inert gas into the specimen in the vial to cause bubbling of the gas throughout at least a portion of the specimen such that the gas mixes with volatile organic compounds (VOCs) present in the specimen to create a VOC / gas mixture that is released into the headspace, collecting the VOC / gas mixture from the headspace in the vial, supplying the VOC / gas mixture to a chamber within the apparatus, causing the VOC / gas mixture to pass over a sensor array in proximity to the chamber, the sensor array generating an electrical signal as a function of VOCs detected in the VOC / gas mixture, and processing the electrical signal to determine the presence of a disease in the specimen.

The invention belongs to the technical field of asphalt pavement repairing, and particularly relates to a local repairing technology of an asphalt pavement, which comprises the following specific contents: detecting a disease range by adopting ground three-dimensional laser scanning or ground penetrating radar, determining a repairing boundary, sampling and detecting the aging degree, the moisture content and the grading type of the asphalt of the original pavement, and determining the repairing quality of the asphalt pavement. According to the method, the bonding strength of the repairing material and the asphalt layer of the original pavement is enhanced by heating and activating the interface of the original pavement and emulsifying the asphalt bonding layer, and matching the repairing material with the shrinkage coefficient of the original pavement and reinforcing and compacting the edge, so that the condition that the repaired position is cracked, loosened and damaged in a short time is avoided; warm-mixed asphalt is adopted, the heating temperature is reduced by 40-60 DEG C, cold-mixed emulsified asphalt is popularized, and the asphalt does not need to be heated, so that release of a large amount of volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs) and dust is effectively avoided, and air pollution is avoided.

The invention discloses an on-line detection method for volatile organic compounds in waste gas, and belongs to the field of waste gas emission monitoring, the detection method comprises the following specific steps: I, starting a quantum cascade laser frequency comb of a middle infrared band, calibrating various parameters of the quantum cascade laser frequency comb, and ensuring to cover a characteristic absorption area of the volatile organic compounds in the waste gas; iI, inputting the waste gas into a gas detection chamber through a sampling pipeline, monitoring the state of the waste gas in real time, and dynamically adjusting the conditions of the gas detection chamber according to various collected signals; the device can capture instantaneous fluctuation of waste gas concentration in real time, meets the high-speed dynamic emission monitoring requirement, has extremely high coherence and narrow linewidth, can analyze tiny spectral line differences which cannot be distinguished by a traditional spectrograph, remarkably improves the detection precision and the recognition capability, ensures that a measurement result still keeps consistency and high reliability under different working conditions, and is suitable for large-scale popularization and application. The signal-to-noise ratio is obviously improved, the power drift is reduced, and long-time stable operation is realized.

The invention relates to an engine stator part small target crack length measurement method based on a deep convolutional neural network, and the method comprises the steps: carrying out the labeling of an initial fatigue crack image obtained through carrying out a fatigue crack propagation experiment, converting the initial fatigue crack image into a PNG label, and carrying out the expansion of the original image and the label through a data intensifier, constructing a VOC (volatile organic compound) format small target crack data set; with the help of the strong feature extraction capability and fine distinguishing capability of a deep convolutional neural network, a semantic segmentation network for small target crack segmentation is constructed based on a full convolutional network, a U-shaped architecture and jump connection, and training is performed to obtain a trained model weight for high-quality crack segmentation; and based on the segmented image, extracting a crack skeleton with a pixel width by adopting preprocessing means such as expansion and a refinement algorithm, counting the number of pixel points in different arrangement modes based on the crack skeleton, calculating to obtain a crack pixel length, and performing scale conversion to obtain an actual crack length. According to the invention, high-precision measurement of the crack length of a large batch of small targets is realized.

The invention provides a self-coupling waste gas treatment system for treating VOCs in waste gas and a treatment method of the self-coupling waste gas treatment system, and belongs to the technical field of VOCs removal and recovery. The self-coupling waste gas treatment system comprises a microwave catalysis unit, wherein to-be-treated waste gas is introduced into the microwave catalysis unit, so that VOCs (Volatile Organic Compounds) are primarily decomposed and then enter a multi-stage condensation unit; the multi-stage condensation unit comprises at least two stages of condensation treatment parts and is configured to be in a cold source cyclic utilization mode, liquid separated after the waste gas to be treated is subjected to condensation treatment in the multi-stage condensation unit is recycled, and meanwhile, separated gas enters the drying adsorption unit; and the emission detection unit is configured to detect whether the purified waste gas from the drying adsorption unit reaches the emission standard or not, and the waste gas which does not reach the emission standard is re-introduced into the microwave catalysis unit to be circularly treated. The self-coupling system disclosed by the invention is high in integration level, and the whole-process efficient management and control of VOCs from pretreatment, deep recovery and fine treatment to up-to-standard emission is realized.

The invention discloses a construction method and system for volatile organic compound release behavior characterization, and belongs to the technical field of air analysis and risk assessment. According to the method, feature analysis is carried out based on multi-source information such as a molecular structure, a release carrier and environmental conditions, modeling is carried out on a release process by utilizing a mapping operator, and a three-dimensional representation vector V = [I, S, E] reflecting release intensity, environmental sensitivity and time evolution is constructed. The representation is output in a behavior vector or digital label mode, and unified quantitative benchmarking of different substances in a cross-scene mode is achieved. According to the method, depth characteristics such as molecular polarity and desorption activation energy are introduced, so that the dependence on long-period environmental chamber experiments is reduced, the generalization prediction capability on unknown pollutants is improved, the logic connection problem between a bottom-layer physical mechanism and an upper-layer intelligent management and control system is solved, and the reliability of the system is improved. And standardized and explainable behavior input is provided for prospective risk research and judgment.

The invention provides an anti-sticking slag coating based on regenerated alumina powder, and relates to the technical field of coatings, the anti-sticking slag coating comprises regenerated alumina powder, an adhesive, a dispersing agent, a thickening agent, a rheological agent and other assistants.The regenerated alumina powder is adopted as a main component, aluminum oxide is used for promoting hydrolysis-condensation reaction of an adhesive precursor, and the anti-sticking slag coating is prepared. An inorganic gel network is formed, normal-temperature curing is achieved, the adhesion situation is remarkably reduced after molten steel and molten aluminum pouring faces are sprayed, and the product performance is excellent; a dispersing agent, a thickening agent and a rheological agent are used for synergistically finishing rheological property regulation and control of the anti-sticking slag coating, a'shear thinning 'flow pattern is constructed, the viscosity is suddenly reduced during spraying so as to realize atomization, the viscosity is increased after spraying, and the anti-sticking slag coating is particularly suitable for uniform film forming of furnace bodies in complex shapes; in the formula, the regenerated aluminum oxide and the selected auxiliaries such as the adhesive, the thickening agent and the rheological agent do not contain volatile organic compounds such as benzene and formaldehyde, the product is free of pungent smell in the spraying process, and the environment-friendly performance of the product is particularly good.

The invention provides a method for producing fragrance through co-culture of gliocladium neurospora and lachnum brachytrichum, and relates to the technical field of microorganisms. The method for producing fragrance by co-culture of the gliocladium neurosporum and the lachnum brachytrichum comprises the following steps: S1, strain activation: respectively inoculating the gliocladium neurosporum and the lachnum brachytrichum into a PSA solid culture medium for activation culture; s2, co-culture inoculation and culture: inoculating the activated gliocladium neurospora and lachnum brachytrichum in the step S1 into a PSA solid culture medium in the same culture container by adopting a five-point confrontation method; and S3, volatile matter collection and analysis: from the second day after inoculation, collecting headspace volatile matters of the culture every 48 hours by adopting a headspace solid-phase microextraction method, and then identifying the co-culture specific volatile organic compounds. Five kinds of specific VOCs which are not cultured independently can be induced to be generated, and the fragrance diversity is enriched; the method is stable and repeatable, the product contains clear aroma components, and an efficient and green new strategy is provided for natural perfume development.

The invention relates to the technical field of industrial waste gas treatment, in particular to volatile organic compound recovery treatment equipment and method.The volatile organic compound recovery treatment equipment comprises an acquisition module, an electric field separation module, a gradient adjustment module, a dynamic compensation module, a classification optimization module, a polarization recovery module and a data processing and adaptive regulation module which are sequentially connected in series. The acquisition module captures emissions and detects parameters, and the data processing module generates a control instruction based on the parameters and drives the modules to perform classification separation and recovery; and the adaptive regulation and control module is combined with residual data of the polarization recovery module, and parameters of each module are reversely optimized through the data processing module. The device realizes accurate trapping, efficient separation and self-adaptive recovery of dynamic emission through module coordination and closed-loop regulation, improves the treatment stability and the resource recovery rate, and is suitable for industries such as chemical engineering and pharmacy.

The invention discloses a method for determining volatile organic compounds in surface water by purging and trapping and gas chromatography-mass spectrometry, which comprises the following steps: acquiring mass spectrometry data of volatile organic compounds in a surface water sample, and separating and detecting a multi-component mixture in a complex matrix by gas chromatography-mass spectrometry, obtaining an original data set containing retention time and mass spectrum information; according to an output result of the classification model, carrying out qualitative analysis on unknown compounds in a to-be-detected sample, and if the classification probability is greater than a preset threshold value, determining the types of the compounds to obtain an accurate qualitative recognition result; and establishing a concentration standard curve by adopting a corresponding quantitative ion peak area according to a target compound confirmed in the qualitative identification result, and calculating a linear relation parameter between the peak area and the concentration to obtain a regression equation for quantitative analysis.

The invention relates to the technical field of pigment color paste, and discloses pigment color paste special for automobile highlight black and a preparation method of the pigment color paste, and the pigment color paste is prepared by taking environment-friendly polyurethane resin, melanin pigment, a nano silicon dioxide filler, a flatting agent, a defoaming agent, zirconium oxide nanoparticles and anti-ultraviolet microcapsules as raw materials. On one hand, the construction performance of the pigment color paste is improved through regulation and control of a formula, on the other hand, the content of volatile organic compounds is reduced through selection of environment-friendly polyurethane resin, and on the third hand, by preparation of the anti-ultraviolet microcapsules and utilization of hindered amine functional groups and nano titanium dioxide in the anti-ultraviolet microcapsules, the anti-ultraviolet performance of the pigment color paste is improved. According to the present invention, the pigment color paste is endowed with the excellent UV protection function, the aging resistance of the pigment color paste is improved, the pigment color paste can maintain the good and stable performance under the long-term outdoor condition, and the application range of the pigment color paste in the severe environment is broadened.

The invention relates to the technical field of environment monitoring, in particular to a building decoration environment harmful gas dynamic monitoring method based on deep learning, which comprises the following steps: acquiring temperature, humidity, volatile organic compound concentration, carbon dioxide concentration, energy consumption and equipment attitude in a building model coordinate system, and eliminating redundant channels according to spatial topology to form a simplified data stream; dense features are extracted from the simplified data flow through a space-time auto-encoder, query key values are generated through quantification, and adjacent historical features are retrieved and spliced into a fusion feature vector; inputting the fused feature vector and a sensing node coordinate into a physical neural network of an embedded gas diffusion and heat conduction equation, and predicting a temperature gradient and regional carbon equivalent emission; calculating a hazard index field according to prediction, heat flow simulation, construction progress and a material release rate, iteratively optimizing a sensing node set and writing the sensing node set into an environment mirror image body; and reconstructing a coupling field in the environment mirror image body, comparing a measured value to obtain a residual field, and updating a hazard index field and a sensing node set when the environment mirror image body is abnormal.

The invention discloses a modular assembly type treatment system suitable for workshop waste gas treatment. The modular assembly type treatment system comprises a series-parallel connection waste gas treatment mechanism and a rotating wheel type waste gas treatment mechanism connected with the series-parallel connection waste gas treatment mechanism in series. The series-parallel connection waste gas treatment mechanism comprises a waste gas treatment circulation shell which is horizontally placed, and the interior of the waste gas treatment circulation shell is sequentially divided into a waste gas input cavity, a waste gas treatment cavity and a waste gas discharge cavity from the input end to the output end; a waste gas treatment supporting body is fixed in the waste gas treatment chamber, a plurality of waste gas treatment circulation holes are formed in the waste gas treatment supporting body, a filter plate integrated barrel shell is fixed in the waste gas treatment circulation holes, and a plurality of waste gas treatment filter plates are arranged in the filter plate integrated barrel shell; the high-efficiency purification treatment capacity is achieved, it can be ensured that the high purification efficiency is achieved by adjusting various purification technology combinations according to various waste gas pollutants such as particulate matter, volatile organic compounds and sulfides discharged by workshops, and the discharged tail gas meets the strict environmental protection standard.

The invention provides a high-concentration volatile organic compound shallow cooling adsorption and desorption method based on filling type adsorption, and belongs to the technical field of waste gas treatment. According to the method, the pore structure parameters of a model adsorption material with concentrated pore size distribution and the static adsorption isotherm and dynamic penetration curve of VOCs at different temperatures are tested; a linear relation equation of critical aperture and critical pressure is established through fitting, a correlation equation of the critical aperture, temperature and partial pressure is constructed, dynamic adsorption capacity is calculated, and the low-temperature strengthening method suitable for dynamic adsorption is determined by combining a shallow cold adsorption and desorption strategy. According to the method, a ternary matching relation equation among VOCs partial pressure, adsorbent aperture and adsorption temperature is constructed, the critical aperture under a specific adsorption condition is calculated, a low-temperature enhanced VOCs shallow cold adsorption and desorption technology is developed, the desorption difficulty is reduced while the pore volume utilization rate and the adsorption capacity are improved, and a support is provided for adsorbent type selection and adsorption technology optimization.

The utility model discloses VOCs activated carbon adsorption filtering equipment with an anti-clogging rotary drum, and relates to the technical field of VOCs treatment.The VOCs activated carbon adsorption filtering equipment comprises a base, a first round hole is formed in the base, a rotating shaft is movably connected in the first round hole, a mounting seat is fixedly connected to the top of the rotating shaft, a dismounting module is arranged on the mounting seat, and the dismounting module comprises a rotating ring; the rotating ring is movably connected to the outer wall of the mounting seat, a box body is fixedly connected to the top of the base, a cleaning module is arranged in the box body and comprises a mounting frame, the mounting frame is fixedly connected to the inner wall of the top of the box body, a fixing frame is fixedly connected to the top of the mounting seat, and a fixing seat is fixedly connected to the top of the fixing frame; the top of the fixing base is fixedly connected with a gear ring. The VOCs activated carbon adsorption filtering equipment with the anti-clogging rotary drum has the technical effects that the surface of the filter element is automatically cleaned in the operation process, the service life of the filter element is prolonged, and the convenience and the working efficiency of the equipment are improved.

The invention discloses a full bio-based PHA (polyhydroxyalkanoate) liquid bioplastic emulsion and a preparation method thereof. The emulsion takes polyhydroxyalkanoate (PHA) as a matrix, alkyl polyglycoside, fermented glycolipid and a bio-based nonionic surfactant are compounded with pullulan, alginate or micro-nano cellulose to serve as a stable system, and plasticizers such as acetyl tributyl citrate and citric acid, phytic acid or tannic acid are added to serve as compacting agents. The solid content of the emulsion is 35-58%, the volume average particle size D50 is 0.12-0.90 [mu] m, the absolute value of Zeta potential is not less than 30 mV, and the content of volatile organic compounds (VOC) is not higher than 50 g / L; fluorine-containing organic matters are not artificially added, and the total organic fluorine is less than or equal to 100ppm. The overall bio-based carbon content of all organic components in the formula is not lower than 95% according to mass weighting calculation. The invention also provides application of the emulsion in the fields of paper barrier coatings, heat-sealing adhesives and non-woven fabric finishing.

The invention discloses a preparation method of an adsorption material for catalytic combustion of VOCs, and belongs to the technical field of environment-friendly catalytic materials. The method comprises the following steps: mixing silica sol, kaolin and an HZSM-5 molecular sieve according to a mass ratio of 1: (0.6-0.8): (0.4-0.5), and pulping to form slurry with the solid content of 25%-40%; adding polyethylene glycol (the molecular weight is 300-600) which accounts for 1-5% of the mass of the slurry, and uniformly dispersing; dripping into an oil phase at the temperature of more than or equal to 70 DEG C through a 0.5-1 mm dropper to form a 1-2 mm gel bead; pre-drying for 2-4 hours at the temperature of 80-120 DEG C, heating to 600-750 DEG C at the speed of 3-5 DEG C / min, and roasting for 2-5 hours; and the roasted pellets, sodium metaaluminate, a guiding agent and water are subjected to dynamic crystallization according to the mass ratio of 1: (0.1-0.3): (0.05-0.15): (5-10), and finally metal is loaded. The sphericity of the carrier is gt under the synergistic effect of oil column forming and polyethylene glycol; the compressive strength is not less than 40 N; the kaolin enhances the mechanical performance, and the HZSM-5 constructs hierarchical pore channels (the pore volume is 0.3-0.5 cm / g, and the specific surface area is gt and 300 m / g), so that the VOCs adsorption capacity is improved.

The invention relates to the technical field of ship body spraying, and particularly discloses a ship body outer plate spraying paint mist collecting and treating system. The system comprises an elevated vehicle and a working platform thereof, a three-cavity gas collecting hood is arranged on one side of the platform, a paint mist treatment box is hung at the bottom, and a negative pressure fan is arranged on the upper portion. The three-cavity gas collecting hood divides an operation area into a spraying cavity, a front negative pressure collecting cavity and a rear negative pressure collecting cavity, the self-adaptive negative pressure adjusting device dynamically controls airflow according to the concentration of paint mist, and normal diffusion and adhesion quality of the paint mist to an outer plate of a ship body are guaranteed while the paint mist is effectively prevented from escaping. The paint mist treatment box adopts a compact modular design, is internally provided with a uniform flow structure, a two-stage filtering unit and an adsorption unit, and can synchronously remove paint mist particles and volatile organic compounds; an intelligent monitoring system is arranged, the maintenance state is pre-warned in real time, and by combining suspension installation and a drawer type structure, rapid dismounting and convenient maintenance are achieved. The system provides a complete environment-friendly solution for dock spraying operation.

The invention discloses a method for monitoring VOC (Volatile Organic Compounds) unorganized emission by utilizing an ultrasonic imaging technology, and belongs to the technical field of environment monitoring. The method comprises the following steps: acquiring ultrasonic data of a chemical industry park production device through an ultrasonic imaging module; 20-100 kHz leakage ultrasonic signals are separated, and sound pressure is read; positioning a leakage source in combination with coordinate mapping and a digital twinborn model, and marking sound pressure with a color code; a fitting coefficient is obtained through laboratory calibration, the leakage rate is calculated, the total leakage volume is calculated according to the duration, and gas density can be combined to be converted into the total mass. The method has the advantages of wide-area coverage, real-time response, accurate positioning, small monitoring deviation and the like, solves the problems of multiple blind areas and difficulty in quantification of a traditional method, and provides data support for safety and environment management of chemical industrial parks.

The invention discloses a bio-based low-VOC (volatile organic compound) water-based ink composition based on microbial fermentation PHA (polyhydroxyalkanoate) as well as a preparation method, application and a printing method thereof, and belongs to the technical field of printing ink and water-based polymer dispersion. The ink adopts a unique protective colloid-free PHA latex system, and is supplemented with precise crosslinking equivalent regulation and control. Compared with the conventional bio-based water-based ink which can be applied to a plastic film only by depending on prime coat or high-energy-consumption drying in the market, the bio-based water-based ink disclosed by the invention can realize excellent adhesion (0-1 level) and wet rubbing resistance on base materials such as BOPP / BOPET and the like without prime coat, and the printing process is greatly simplified. Under the condition that the environment-friendly high standard of low VOC and no PFAS is ensured, the high-speed printing energy consumption is remarkably reduced with lower drying enthalpy, the back sticking pain point is solved, meanwhile, the long working life and the excellent paper-based ink removal property are achieved, and the industrial problem that environment-friendly compliance and high-performance printing are difficult to achieve at the same time is effectively solved.

The invention discloses a method for preparing a porous carbon material by recycling coal gasification slag and semi-coke wastewater, which comprises the following steps: by taking coal gasification fine slag as a carrier and semi-coke wastewater as a phenol source, carrying out flotation-acid leaching modification on the fine slag to purify a carbon-rich component and optimize the surface adsorption activity of the carbon-rich component; then fully adsorbing phenolic substances in the wastewater by utilizing the modified slag body; introducing a composite aldehyde cross-linking agent, and initiating an in-situ phenolic aldehyde polymerization reaction to generate a composite precursor; the precursor is subjected to high-temperature carbonization and alkali activation pore forming, and finally the porous carbon material with the characteristics of high specific surface area, rich graded pores and low ash content is prepared. According to the process, full-amount collaborative recycling of the two wastes is achieved, and the process is green and free of secondary pollution. The obtained material is high in carbon content and rich in defect structure and surface functional groups, shows excellent adsorption capacity and catalytic carrier performance, can be widely applied to the fields of deep purification of water pollutants, adsorption of volatile organic compounds, energy catalysis and the like, and has remarkable environmental protection benefits and resource economic values.

The invention discloses a magnesium oxide supported catalyst, a preparation method and application in VOCs (volatile organic compounds) purification, and belongs to the field of volatile organic compound catalytic purification. Magnesium oxide is used as a carrier of the catalyst, and two modified materials are supported, one is a double-active-center material anchoring nickel single atoms and ruthenium clusters in a porous carbon-nitrogen framework, and the other is a double-active-center material anchoring nickel single atoms and ruthenium clusters in a porous carbon-nitrogen framework; and the other one is a defective carbonitride MXene intercalated hydroxyapatite nanosheet, and lanthanum oxide can be added as a cocatalyst. The preparation method comprises the following steps: sequentially loading the two modified materials on the magnesium oxide carrier, and carrying out ultrasonic dispersion, stirring, centrifuging, drying, calcining and the like, so that the active component and the carrier form strong interaction. According to the catalyst, through the synergistic effect of double active centers and the structural advantages of the modified material, the catalytic oxidation efficiency and stability of VOCs are remarkably improved, and the catalyst is suitable for purification treatment of industrial waste gas and volatile organic compounds in indoor air.

The present disclosure provides peptides, chimeric molecular constructs, and compositions thereof, that can bind volatile organic compounds (VOCs) and be utilized to distinguish VOC profiles, e.g., indicative of disease, as well as related methods. A VOC-based gas sensing approach described in the present specification can be an effective screening tool, due, at least in part, to its speed, ease of use, sensitivity, specificity, and because it does not rely on binding to specific nucleic acid fragments or proteins to function.

The invention discloses an intelligent purification coating with a bionic pulmonary membrane type respiratory metabolism function. The intelligent purification coating comprises a sensing and adsorption layer, a driving and transportation layer and a catalysis and metabolism unit, the sensing and adsorption layer is composed of a chemical heterojunction network formed by two-dimensional transition metal carbonitride MXene and a zeolite imidazate framework structure material through an in-situ coordination reaction of metal ions and hydroxyl groups on the surface of MXene; the driving and transporting layer takes a cross-linked liquid crystal elastomer network as an intelligent response matrix, and high-length-diameter-ratio magnetic ferroferric oxide nanorods of which the surfaces are modified by a silane coupling agent are uniformly dispersed and embedded into the matrix; and the catalysis and metabolism layer is anchored on a preset key mass transfer path in the driving and transporting layer in a discrete metabolism island form. According to the coating, various volatile organic compounds (VOCs) and enzyme-light synergistic deep mineralization can be realized under mild conditions, and the energy metabolism function of mitochondria can be accurately simulated.

The invention discloses a treatment device and a treatment method for adsorbing and desorbing VOCs (Volatile Organic Compounds) waste gas by using a zeolite molecular sieve, and relates to the technical field of waste gas treatment. The treatment device for adsorbing and desorbing the VOCs waste gas through the zeolite molecular sieve comprises a shell, the interior of the shell is divided into an adsorption area, a desorption area and a cooling area, and the treatment device further comprises fan-shaped zeolite sheets and a round zeolite rotating wheel which is arranged in the shell and is formed by splicing the multiple fan-shaped zeolite sheets; the rotating shaft is located in the middle of the zeolite rotating wheel, and the fan-shaped zeolite sheets can move on the rotating shaft in the axial direction. According to the invention, the plurality of fan-shaped zeolite sheets are arranged and spliced to form the circular zeolite rotating wheel, and under the cooperation of the sliding parts and the guide grooves, the two adjacent fan-shaped zeolite sheets are controlled to be staggered in the axial direction of the zeolite rotating wheel when being positioned in the desorption area and the cooling area, so that the contact area between the fan-shaped zeolite sheets and hot air and cooling air is increased, and efficient desorption and cooling are favorably realized.

The invention discloses a multi-device state sensing driven intelligent storage abnormity early warning method, and relates to the field of storage cargo management, and the method comprises the steps: 1, collecting multi-source data through a multi-source sensor node, including odor intensity, volatile organic compound concentration, carbon dioxide or carbon monoxide content, and environment temperature and humidity, meanwhile, physical coordinates of the multi-source sensor nodes are obtained; 2, acquiring historical multi-source data in advance, constructing a dynamic threshold model based on the historical multi-source data, calculating odor fluctuation, a gas combination abnormal index and a temperature and humidity coupling risk value according to the multi-source data, and introducing time evolution trend analysis to obtain a gas combination abnormal index and a temperature and humidity coupling risk value; and a dynamic threshold model is combined to identify risk signals in the odor fluctuation degree, the gas combination anomaly index and the temperature and humidity coupling risk value, a space attenuation model is adopted to generate a three-dimensional anomaly thermodynamic diagram based on the physical coordinates of the multi-source sensor node and the risk signals, and a high-risk area is positioned.