56 results about "Langmuir" patented technology

The invention belongs to the technical field of substance detection, and particularly provides application of a chiral Ag / Bi6S2O15NWs composite film with SERS (Surface Enhanced Raman Scattering) activity in detection of ergothioneine. According to the invention, the silver nanowires are assembled into the thin film by using a Langmuir-Blodgett (LB) technology, and a simpler detection method based on SERS (Surface Enhanced Raman Scattering) is developed. The stability and SERS (Surface Enhanced Raman Scattering) performance of the chiral film are further improved by utilizing the coating of the bismuth-based nanowires (Bi6S2O15NWs). The SERS substrate is used for detecting natural L-amino acid EGT with antioxidant and anti-inflammatory effects, and the detection limit of the SERS substrate is 0.248 mu g / mL. The method provides a novel, efficient and sensitive method for detecting EGT in cosmetics, and supports product development and quality control.

The invention discloses a hydrophobic-carbonization coupled chloride ion diffusion bonding prediction method and system, and belongs to the field of inorganic cementing material durability numerical analysis and multi-field coupling modeling. The method comprises the following steps: dividing chloride ions in a material into free chloride ions and combined chloride ions, and establishing a total chloride ion concentration expression relationship; under a two-dimensional transmission condition, establishing a chloride ion diffusion-binding coupling control equation based on mass conservation and Fick diffusion law, and introducing a hydrophobic correction factor and a carbonization influence factor; a Langmuir isothermal adsorption model and a first-order kinetic equation are adopted to describe the chloride ion binding behavior; and carrying out numerical solution on the unsteady migration and combination process of the chloride ions in the cementing material to obtain the spatial and temporal distribution of the chloride ion concentration under different conditions. The method can quantitatively describe the coupling influence of hydrophobic modification and carbonization on chloride ion diffusion and binding behaviors, is high in prediction precision, and is suitable for durability analysis and engineering life evaluation of alkali-activated materials and geopolymers.

The invention discloses a safety index calculation method for corner CO concentration on a working face of a coal seam prone to spontaneous combustion, and relates to the technical field of coal mine safety. The method comprises the following steps: establishing a CO generation rate basic equation on the basis of Langmuir-Hinshelwood reaction kinetics and an Arrhenius equation; calculating the reaction surface area of the long-term residual coal and the fresh coal body; respectively solving CO generation rates of the two coal bodies and establishing a total rate model q; a CO transmission diffusion equation is constructed and simplified, an attenuation coefficient alpha is solved, and a concentration distribution general solution is obtained; and substituting q into the simplified equation to obtain a corner CO concentration expression. According to the method, normal-temperature oxidation CO and spontaneous combustion CO are distinguished through coupling reaction kinetics and a transmission theory, the over-limit early warning accuracy is improved, and a basis is provided for working face safety management.

The invention provides a lanthanum modified magnetic nano carbon adsorbent as well as a preparation method and application thereof, and belongs to the technical field of water treatment. The method comprises the following steps: performing catalytic pyrolysis on biomass by Fe < 3 + > to form hierarchical porous biochar; epitaxially growing a Fe3O4 magnetic layer by a hydrothermal method; carrying out free radical polymerization grafting on poly (1-vinyl imidazole); and La < 3 + > coordination loading and alkali activation. When 0.03 g / L (pH is 3-4) of the obtained adsorbent is added into phosphorus-containing wastewater, the 30-min phosphate removal rate is larger than or equal to 94%, the Langmuir adsorption capacity is larger than or equal to 117.32 mg P / g, and the adsorption retention rate is larger than or equal to 90% and the La dissolution rate is smaller than or equal to 0.2% after five times of circulation. According to the lanthanum modified magnetic nano-carbon adsorbent as well as the preparation method and the application thereof, lanthanum modification is performed on the magnetic nano-carbon, so that the obtained lanthanum modified magnetic nano-carbon adsorbent has the advantages of high adsorption capacity on phosphate in a water body, good selectivity, high removal rate, easiness in separation and recovery, small mass loss, no dissolution, no secondary pollution problem and the like.

To provide a method of manufacturing a metal oxide film or a metal nitride film on an Si substrate which is not affected by an Si oxide layer or is affected by the Si oxide layer to an extremely small extent.SOLUTION: The method for producing a metallic oxide film comprises growing a metallic oxide film or a metallic nitride film on an Si substrate, wherein the Si substrate is cleaned with a soln. containing NH4F. Supplying the Si substrate after the cleaning to a reaction chamber and adsorbing a metal layer made of a metal constituting the metal oxide film or the metal nitride film on the Si substrate, wherein the adsorption of the metal layer is performed by applying a pressure P (Pa) within a pressure range (Pa) in which an adsorption rate and a desorption rate of the metal constituting the metal oxide film show an equilibrium state in a Langmuir adsorption isotherm at an arbitrary temperature T (°C), subsequently, epitaxially growing the metal oxide film or the metal nitride film.SELECTED DRAWING: Figure 4

This invention provides a method for predicting the equilibrium adsorption capacity of an adsorbent material for an adsorbate at any initial pH value, belonging to the field of phosphorus removal technology for phosphogypsum lightweight aggregates. The prediction method of this invention includes the following steps: using a Langmuir isotherm adsorption model, obtaining the theoretical maximum adsorption capacity and affinity constant of the adsorbent material for the adsorbate at at least four different initial pH values; establishing empirical functions for the theoretical maximum adsorption capacity and affinity constant with the initial pH value as the independent variable, and substituting these functions into the Langmuir isotherm adsorption model to obtain a pH-corrected isotherm adsorption model; and based on the pH-corrected isotherm adsorption model, predicting the equilibrium adsorption capacity of the adsorbent material for the adsorbate at any initial pH value. The prediction method of this invention can predict the equilibrium adsorption capacity of the adsorbent material for the adsorbate at any initial pH value, eliminating the need for repeated experiments, saving time and effort, and reducing costs.

The invention provides an ultrasonic atomization Langmuir membrane continuous self-assembly preparation process for any substrate, and relates to the technical field of nano materials, and components used in the preparation process comprise a booster, a track circulating propeller, an ultrasonic atomization device, a water tank, a fence, a fence booster and a substrate base component, the preparation process comprises the following steps: 1, preparing and modifying a nanoparticle suspension solution; 2, cleaning and activating the substrate base assembly and placing the substrate base assembly into a water tank; 3, spraying the suspension solution to a water-air interface through ultrasonic atomization; 4, compressing the fences to form a single-layer Langmuir membrane; 5, downdraft liquid drop transfer film to a substrate base assembly; 6, drying and removing the dispersing agent; 7, repeating the steps 3-6 to realize multi-layer continuous self-assembly; the whole process is carried out in a normal-temperature and normal-humidity environment, nanoparticles are dispersed in a volatile organic solvent, the solution is atomized into micron-sized liquid drops with uniform particle size through an ultrasonic atomization device, and the micron-sized liquid drops are sprayed to a water-air interface.

The invention discloses a method and a device for predicting the productivity of a directional fracturing horizontal well of a complex fracture network shale gas reservoir. The method comprises the following steps: respectively establishing corresponding relations between shale gas viscosity, a compression factor, a compression coefficient and reservoir permeability and reservoir pressure; on the basis of the matrix grid model, hydraulic fractures are embedded by adopting a determined modeling method, and natural fractures are embedded by adopting a random modeling method; according to the fact that shale gas follows the Langmuir adsorption law in a matrix and follows the Darcy flow law in a crack, mass conservation equations of the matrix and the crack are established respectively; flow relations between adjacent matrix grids, between fracture grids, between matrixes and fracture grids and between crossed fracture grids are established respectively, and a matrix equation set of the horizontal well is obtained in combination with a Peaeman well equation; and solving to obtain the productivity data of the horizontal well. According to the method, reasonable productivity prediction can be carried out on the shale gas reservoir directional fracturing horizontal well under the constraint of the complex fracture network.

The invention discloses a multilayer polycyclic aromatic hydrocarbon organic membrane as well as a preparation method and application thereof. The preparation method comprises the following steps: cleaning and drying a polyacrylonitrile substrate; dropwise adding a poly [1-(trimethylsilyl)-1-propyne] solution on the polyacrylonitrile substrate, and carrying out spin coating to form a uniform supporting layer; the preparation method comprises the following steps: preparing pre-prepared hexa (tripyridine) hexaphenylbenzene polycyclic aromatic hydrocarbon into a hexa (tripyridine) hexaphenylbenzene polycyclic aromatic hydrocarbon monomolecular layer compressed film by adopting a Langeron film preparation instrument, and transferring the monomolecular layer compressed film to the surface of a polyacrylonitrile substrate spin-coated with a poly [1-(trimethylsilyl)-1-propyne] layer; the multi-layer polycyclic aromatic hydrocarbon organic membrane is obtained by repeating the monomolecular layer compression and horizontal contact transfer process, the efficient size exclusion effect is achieved, and the method has the advantages of high permeability, high selectivity, rapidness and low-cost preparation.

The invention discloses a method and a system for predicting competitive adsorption saturation of multiple pollutants on activated carbon. The method comprises the following steps: inputting basic parameters and Langmuir adsorption parameters of an activated carbon adsorption box; calculating a dominant aperture correction coefficient of each pollutant according to the dominant aperture volume and the common aperture volume of each pollutant, introducing the dominant aperture correction coefficient into a Langmuir competitive adsorption model, and establishing a correction competitive adsorption model; dispersing an activated carbon adsorption box into grid units, calling a correction competitive adsorption model, performing iterative calculation on a time sequence according to the inlet concentration of each pollutant, Langmuir adsorption parameters and related parameters of an adsorbent, calculating the adsorption phase concentration and the adsorbate concentration of the position of each grid unit at different time, and calculating the adsorption phase concentration and the adsorbate concentration of the position of each grid unit; the three-dimensional distribution of the saturation degree of the activated carbon along with time is obtained. According to the invention, the spatial distribution prediction and evaluation of the saturation condition of adsorbing various pollutants in the activated carbon adsorption device at the same time can be realized.

The invention discloses a sediment heavy metal pollution analysis and evaluation method, and belongs to the technical field of environmental statistical modeling. The method comprises the following steps: acquiring physicochemical property indexes of sediments, and calculating the effective adsorption capacity of each component by utilizing a preset saturation response relationship; inputting the physicochemical indexes into a Bayesian network constructed through hierarchical mechanism constraint, and deducing the adsorption affinity latent variable of the heavy metal; constructing a competition mapping function containing a vacancy constant term based on a competition Langmuir mechanism, and calculating a capacity occupancy rate under a multi-metal competition condition; and finally, calculating a heavy metal content predicted value according to the effective adsorption capacity and the occupancy rate. According to the method, a physical capacity upper limit and a multi-metal competition occupation mechanism are introduced into the Bayesian network, so that the problems of prediction distortion and lack of a competition mechanism of a traditional model under high load are solved, and accurate evaluation conforming to physical and chemical laws is realized.

The application discloses a kind of nanometer thickness square acid MOF film and preparation method thereof, and preparation method includes: preparation cationic surfactant, square acid, sodium hydroxide, metal salt is dissolved in water respectively and is matched into 1mg / mL solution;Square acid MOF Langmuir film is assembled using Langmuir film instrument, and square acid MOF film is transferred to solid substrate using Langmuir-Blogget method, to obtain nanometer thickness square acid MOF film;The application is induced by cationic surfactant to interface aggregation of water-soluble negative square acid molecule, interface pressure is reasonably controlled using Langmuir film preparation technology, adjust the distance between surfactant and interface charge density, then control the interface density of square acid ligand molecule and film thickness induced by it, prepare film thickness 2nm, size is centimeter level, defectless MOF film material.

The invention relates to an intelligent prediction method for CO2 miscible flooding leading edge migration of an unconventional reservoir. The method comprises the steps that a CO2 miscible flooding leading edge migration prediction data set considering the type of the unconventional reservoir is established; the method comprises the following steps: establishing a CO2 mass transport equation considering an injection-production relationship, stress sensitivity and a starting pressure gradient on the basis of source-sink unit characterization of the dynamic injection-production relationship; constructing a convection diffusion equation considering a CO2-rock adsorption effect; constructing a CO2 miscible flooding front migration prediction model, and defining a CO2 miscible flooding front based on the prediction model; and introducing a pelican optimization algorithm to carry out fitting optimization on the permeability, the starting pressure gradient and the Langmuir adsorption constant, and dynamically optimizing the CO2 miscible flooding leading edge migration prediction model to realize intelligent prediction of CO2 miscible flooding leading edge migration. According to the method, the prediction of the leading edge migration in the process of improving the recovery efficiency by the CO2 miscible-phase flooding can be quantitatively and scientifically realized.

The invention discloses a preparation method of a patterned composite liquid crystal elastomer. According to the method, polyhedral oligomeric silsesquioxane magnetic nanoparticles and silver nanowires are combined, a multi-step mask method and a Langmuir-Blodgett deposition angle are utilized for regulation and control, and an inorganic nano pattern layer with spatial morphology difference is constructed on the surface of a substrate. The patterned layer is assembled into a liquid crystal box with the thickness of 30 microns, filled with a liquid crystal molecule mixture containing single-end / double-end acrylate groups and subjected to thermal polymerization to form a preset molecular orientation array; the patterned liquid crystal elastomer can induce anisotropic transformation of liquid crystal molecules under the synergistic photothermal effect of the polyhedral oligomeric silsesquioxane magnetic nanoparticles and the silver nanowires, and finally the composite liquid crystal elastomer with various deformations is obtained.

This invention discloses a method for preparing an ultrathin ordered macrocyclic molecular membrane. The method involves synthesizing macrocyclic molecules with high polymerization activity and amphiphilic guest molecules. The inclusion complexes formed by the macrocyclic molecules and guest molecules are orderedly assembled using Langmuir-Blodgett (LB) technology. Photopolymerization is then employed to achieve ordered cross-linking of the macrocyclic molecules, resulting in an ultrathin ordered macrocyclic molecular membrane. The macrocyclic molecular membrane prepared by this invention is monomolecular in thickness and possesses good mechanical strength. With the assisted orientation of the amphiphilic guest molecules, the macrocyclic molecules achieve ordered assembly at the water-air interface. The membrane preparation process proposed in this invention is simple, cost-effective, versatile, and easily scalable, making it significant for the field of high-performance separation membranes.

The invention discloses a coal seam gas pressure-content dynamic prediction method based on multi-source data fusion, and relates to the technical field of coal seam gas prediction.The method comprises the following steps that S1, sensor networks are deployed in underground drill holes and mining influence areas respectively, and physical field data are synchronously collected in real time; s2, constructing a physical model based on a Langmuir adsorption theory, and calculating the basic content of coal seam adsorption state gas; s3, constructing a combined correction equation fusing the gas pressure and the content to correct the gas content of the adsorption-state coal seam; s4, the corrected adsorbed state gas content and the free state gas content monitored in real time are superposed, and the total coal seam gas content is generated; and S5, constructing a hybrid neural network model to predict and generate a coal seam gas pressure-content continuous curve at a future moment. The method provided by the invention provides a powerful basis for coal seam region prediction, and further improves the coal mining efficiency.

The present application relates to a kind of bismuth-based nanowires BSO NWs and its preparation method and its application in high-efficiency piezoelectric-optical synergistic catalytic hydrogen evolution.The BCSO NWs are synthesized by hydrothermal reaction, and are assembled into film using Langmuir-Blodgett (LB) technology.Compared with the non-chiral BSO NWs film, the chiral BSO NWs film has high piezoelectric catalytic hydrogen evolution activity, and a certain proportion of cobalt doping can further improve the hydrogen evolution activity.In addition, based on the chiral structure of BSO NWs film and BCSO NWs film, under the condition of light matching, i.e., left-handed film (LH-film) under left circularly polarized light (LCP) irradiation and right-handed film (RH-film) under right circularly polarized light (RCP) irradiation, the strongest piezoelectric-optical synergistic catalytic effect is shown, further improving the hydrogen evolution rate.

The invention discloses a helium isothermal adsorption measuring and calculating method based on a magnetic suspension balance, which comprises the following steps: vacuumizing a magnetic suspension balance sample cabin for storing a sample at a preset temperature for a preset time, and obtaining a first mass of the sample after the temperature of an indoor environment; acquiring the second mass and volume of the sample frame, setting a plurality of adsorption temperature points, and acquiring the readings of the magnetic suspension balance corresponding to different adsorption pressure points at each adsorption temperature point and the free phase helium density in the sample cabin; drawing a linear relation graph of each adsorption temperature point according to the reading and the free phase helium density, and calculating the slope; fitting a plurality of adsorption temperature points, the slope, the first mass, the volume and an ideal gas constant to obtain the unit mass skeleton volume of the sample; calculating the helium adsorption capacity by combining the first mass, the second mass, the volume, the reading, the free phase helium density and the atomic mass of helium, drawing a helium isothermal adsorption curve of each adsorption temperature point, and performing fitting to obtain the maximum Langmuir adsorption capacity and Langmuir pressure.

The invention belongs to the technical field of geophysics, and relates to a method and device for calculating the adsorption gas density and bulk modulus of an organic geoscience material, electronic equipment and a computer readable storage medium. Comprising the following steps: establishing an expression formula of adsorbed gas quality to obtain an expression formula of dried sample quality; obtaining an expression formula of the adsorption gas density of the dry sample, and obtaining an expression formula of the adsorption gas density of the dry sample; obtaining an expression formula of the updated volume density; according to the updated expression formula of the volume density and the expression formula of the dried sample adsorption gas density, establishing a calculation formula of the adsorption gas density; according to the calculation formula of the adsorption gas density and the Langmuir formula, establishing a calculation formula of the adsorption gas volume modulus; and calculating the adsorption gas density and the bulk modulus. The invention provides a more accurate calculation formula of the adsorption gas density and the volume modulus, so that the defect of depicting the physical property of the gas contained in the pores by the existing rock physical model is overcome.

The invention provides a coal seam adsorbed gas content calculation method and system, and belongs to the field of oil-gas exploration and development. The method comprises the following steps: acquiring multiple reservoir core maceral data and experimental Langmuir parameters of a target area, and taking the reservoir core maceral data of which the correlation with the experimental Langmuir parameters reaches a preset correlation threshold as high-correlation maceral data; based on the high-correlation maceral data, constructing sensitive parameters of Langmuir parameters; performing regression processing on the sensitive parameters of the Langmuir parameters, and determining the corresponding Langmuir parameters; the corresponding Langmuir parameters are substituted into the improved Langmuir model to calculate the coal seam adsorbed gas content, and a coal seam adsorbed gas content calculation result is obtained; wherein the Langmuir model is improved on the basis of the content ratio data of the actual adsorbate in the core maceral data of all the reservoirs. The method and the system effectively improve the calculation precision of the coal seam adsorbed gas content.

The application discloses a coal seam gas pressure-content dynamic prediction method based on multi-source data fusion, relates to the technical field of coal seam gas prediction, and comprises the following steps: step S1, a sensor network is arranged in a downhole drilling and a mining influence area respectively, and physical field data is collected in real time and synchronously; step S2, a physical model is constructed based on Langmuir adsorption theory, and the basic content of adsorbed state gas in the coal seam is calculated; step S3, a joint correction equation fusing gas pressure and content is constructed to correct the content of adsorbed state gas in the coal seam; step S4, the corrected content of adsorbed state gas is superimposed with the content of free state gas monitored in real time, and the total content of coal seam gas is generated; and step S5, a mixed neural network model is constructed to predict a continuous curve of the coal seam gas pressure-content at a future time. The method provides a strong basis for coal seam area prediction, and further improves the efficiency of coal mining.

The invention provides a metal organic framework material with a function of separating and purifying ethylene from a propylene-ethylene mixture as well as a preparation method and application of the metal organic framework material, and relates to the scientific field of material chemistry and inorganic chemistry. The chemical formula of the metal organic framework material is [Zn5 (mu3-OH) (TPHC) 1.5 (H2O) 4], in the formula, TPHC is a deprotonated (1, 1 ': 3', 1 ''-terphenyl) 3, 3 ', 4', 5, 5 ', 6'-hexacarboxylic acid ligand, and mu3-OH represents a hydroxyl ligand bridged over one another. The invention also discloses a preparation method of the metal organic framework material and application of the metal organic framework material in separation and purification of a propylene-ethylene mixture. The method has the advantages of easily available raw materials, simple synthesis steps, low equipment requirements and short material synthesis time. The prepared metal organic framework is a three-dimensional porous framework material containing a cage structure, the porosity is 52.1%, and the Langmuir specific surface area is 392.1 m < 2 > g <-1 >. The adsorption capacity and the adsorption acting force of the metal organic framework material to ethylene are obviously lower than those of propylene, so that the metal organic framework material has a potential application prospect in the aspect of efficient adsorption separation of a propylene-ethylene mixture.

To provide a carbon dioxide adsorbent and a carbon dioxide separation method that have a high effective carbon dioxide adsorption capacity even when the carbon dioxide concentration in the mixed gas is low, when separating carbon dioxide from a mixed gas containing carbon dioxide. [Solution] A carbon dioxide adsorbent comprising a zeolite having a faujasite-type crystal structure, wherein 50% or more of the cations constituting the zeolite are alkali metal ions, the Si / Al ratio is 1.5 or higher, and the Langmuir-Freundlich equilibrium constant determined from the carbon dioxide adsorption isotherm at 25°C is greater than 0.05 (1 / kPa) and 0.3 (1 / kPa) or less.

This invention discloses a method for analyzing and evaluating heavy metal pollution in sediments, belonging to the field of environmental statistical modeling technology. The method includes: acquiring sediment physicochemical property indicators; calculating the effective adsorption capacity of each component using a preset saturation response relationship; inputting the physicochemical indicators into a Bayesian network constructed with hierarchical mechanism constraints to infer the latent variable of heavy metal adsorption affinity; constructing a competitive mapping function containing a vacancy constant term based on a competitive Langmuir mechanism to calculate the capacity occupancy rate under multi-metal competition conditions; and finally calculating the predicted heavy metal content from the effective adsorption capacity and occupancy rate. This invention introduces a physical capacity upper limit and a multi-metal competition occupancy mechanism into the Bayesian network, solving the problems of prediction distortion and lack of competition mechanism in traditional models under high loads, and achieving accurate evaluation consistent with physicochemical laws.

The invention relates to the technical field of ion source detection, in particular to an ion source detection device and method, and aims to solve the problem that a probe of an existing detection device interferes with the detection precision. The ion source detection device provided by the invention comprises a radial movement assembly, an axial movement assembly and a Langmuir probe, the Langmuir probes are installed on the radial moving assembly and annularly and uniformly distributed around the axis of the ion beam, and the radial moving assembly is installed on the axial moving assembly; the axial movement assembly is used for driving the radial movement assembly to move in the axial direction, and the radial movement assembly is used for driving the Langmuir probe to approach or leave the axis of the ion beam in the radial direction. Comprehensive detection of the ion beam is guaranteed through the Langmuir probes in the annular array, the Langmuir probes in the annular array are moved to different positions for detection through the axial moving assembly, mutual interference of the Langmuir probes arranged in the length direction of the ion beam can be avoided, and the problem that the probes interfere with the detection precision is avoided.

The present application provides a kind of coal seam gas content prediction method, it is related to coalbed gas exploration and development technical field.The present application includes the following steps: first, select coal sample, by vitrinite random reflectance automatic determination image analysis method, obtain the maximum vitrinite reflectance R o,max Then, isothermal gas adsorption experiment is carried out to each coal sample, and the Langmuir volume V L And Langmuir pressure P L According to the maximum vitrinite reflectance R o,max Sample is divided into anthracite sample group, bituminous sample group and sub-bituminous sample group according to coal rank;Finally, the calculation formula of coal seam gas content change with depth under different coal rank is established, and the actual gas emission of coal mine is used to test, realize the calculation of coal seam gas content change with depth, the present application is simple and convenient, low in cost, can obtain the coal seam gas content of different coal mines, has good application effect and wide applicability.

The invention relates to the technical field of wastewater treatment, and discloses a bismuth oxide-loaded chitosan / beta-cyclodextrin composite adsorption material as well as a preparation method and application thereof, and the bismuth oxide-loaded chitosan / beta-cyclodextrin composite adsorption material comprises porous aerogel beads, the porous aerogel bead comprises a carrier formed by crosslinking beta-cyclodextrin and chitosan and bismuth oxide loaded on the carrier, the interior of the porous aerogel bead is of a porous net structure, the BET specific surface area of the porous aerogel bead is 18-24 m < 2 > / g, the Langmuir surface area of the porous aerogel bead is 40-45 m < 2 > / g, the BJH adsorption average aperture width is 15-18 nm, and the particle size of the porous aerogel bead is 2-7 mm. The composite adsorption material provided by the invention has excellent adsorption performance and good regeneration performance, is wide in application range, is more environment-friendly, and has relatively high practical value and environmental benefits.

The invention relates to multifunctional integrated hydrotalcite (MgAlEu-LDH) which has the capabilities of efficient adsorption, oxidation repair and real-time monitoring of heavy metal pollution. According to the material, the adsorption selectivity is enhanced by introducing rare earth element europium (Eu < 3 + >), a dual mechanism of'coordination adsorption-photocatalytic oxidation 'is realized by utilizing the photocatalytic characteristic of the material, and an ultra-stable mineralization structure is constructed. The preparation method comprises the following steps: weighing magnesium chloride, aluminum chloride and europium chloride according to a molar ratio of 2: 1: 0.1 to prepare a salt solution, reacting the salt solution with an alkali solution in a colloid mill, aging, washing and drying to obtain MgAlEu-LDH, and calcining at 350 DEG C to obtain MgAlEu-LDH. The fluorescence characteristic of Eu < 3 + > can be used for monitoring the adsorption process in situ in real time, and the fluorescence intensity of Eu < 3 + > is quenched along with the increase of arsenite adsorption time. Experiments show that the material is high in arsenic adsorption rate, the adsorption process conforms to a Langmuir model, the fluorescence intensity change is related to the adsorption process, and an economic and environment-friendly technical scheme is provided for heavy metal pollution remediation.

The application discloses a kind of deep coalbed methane well recovery factor determination methods.The method includes: obtaining the original formation pressure and PVT experimental data of coalbed methane well, establish the corresponding relationship table between pressure and deviation factor;Obtain the isothermal adsorption experimental data for deep coal rock, original adsorbed gas content experimental data and original free gas content experimental data;According to the isothermal adsorption experimental data of coal rock, determine the Langmuir pressure and Langmuir volume;Determine the abandoned formation pressure of coalbed methane well exploitation;Determine the deviation factor corresponding to original formation pressure and the deviation factor corresponding to abandoned formation pressure;Based on the above obtained original formation pressure, original adsorbed gas content and original free gas content, Langmuir pressure, abandoned formation pressure and the deviation factor corresponding to original formation pressure and the deviation factor corresponding to abandoned formation pressure determine the recovery factor of coalbed methane well.The present application method is simple, easy to understand, and has good popularization and use value.

The application discloses a kind of multi-component oxidant full-temperature-domain nuclear grade graphite oxidation kinetics analysis method and system, belong to nuclear energy engineering technical field.The application first establishes temperature partition theory system based on physical mechanism, according to the relative size of chemical reaction rate and oxidant diffusion rate, the graphite oxidation process is divided into chemical reaction control area, porous diffusion control area and boundary layer diffusion control area;Parallel computing instantaneous kinetic oxidation rate of graphite and oxygen reaction and instantaneous mass transfer limit oxidation rate based on Sherwood number, take the minimum value as the effective rate of oxygen oxidation;The oxidation rate of graphite and water vapor is calculated using Langmuir-Hinshelwood model;Coupling superposition two kinds of oxidation rates and time integration, obtain the total oxidation mass loss of graphite component in the whole process of accident.The application significantly improves the fidelity of high-temperature gas-cooled reactor accident analysis, and provides reliable technical support for reactor core structural integrity evaluation and safety source term analysis.