52 results about "Laser raman" patented technology

The invention belongs to the technical field of gas detection, and relates to a ship exhaust gas multi-component synchronous online monitoring system and method based on a laser Raman spectrum. The system comprises a sampling module, a preprocessing module, an analysis module, a data processing module, a blowback module and a flow measurement module. The method comprises the following steps: starting and self-checking the system; sample collection, pretreatment and flow velocity measurement; laser excitation and signal acquisition; carrying out spectrum analysis and concentration inversion; data output and system maintenance; and performing periodic automatic calibration. According to the invention, a complete monitoring process chain from sampling, pretreatment, flow measurement, analysis to back flushing is creatively integrated. The high-efficiency pretreatment and back flushing design greatly reduces the influence of high-dust and high-humidity environment on the analysis system, and ensures the long-term stability and reliability of the system.

The application discloses a household garbage fine separation method and system suitable for pyrolysis and fermentation, and belongs to the technical field of solid waste treatment and resource utilization, and comprises pre-crushing, first magnetic separation, drum screening, air separation, fine crushing, second magnetic separation and Raman light selection; a separation equipment integrating a visual sensor and a laser Raman spectrum probe is adopted to identify and separate the material after the second magnetic separation, so that different kinds of plastics are separated based on the molecular vibration fingerprint information of the material; wherein each step is uniformly scheduled and controlled by an automatic control system according to a preset program or real-time feedback parameters, and the dust generated in the whole process is collected and purified by a tail gas dust removal control system. Through the construction of a multi-stage collaborative process route, the material is fully dissociated and purified step by step, and the problems of low separation precision and poor system collaboration are solved by cooperating with automatic unified scheduling and full-process dust removal.

The invention belongs to the technical field of surface enhanced Raman scattering (SERS) detection, and relates to an electrochemical Raman SERS substrate and a trace substance selective detection method. The electrochemical Raman SERS substrate comprises a bottom layer and a surface layer, the bottom layer is a conductive substrate, and the surface layer is a semiconductor oxide film. Taking an electrochemical Raman SERS substrate as a working electrode, immersing the working electrode into the detection liquid A to construct a three-electrode system, and carrying out laser Raman spectrum detection by utilizing a Raman spectrometer and an electrochemical workstation; the detection solution A comprises a target detection substance and an electrolyte solution. According to the technical scheme provided by the invention, electrochemical cycle regulation and control of semiconductor band gaps is matched and combined with molecular HOMO-LUMO energy levels, so that precise recognition of a single component in a mixture can be realized; according to the technical scheme, the regulation and control flexibility is high, and multi-component detection can be completed without replacing the substrate. The trace substance selective detection method is wide in applicability, simple, convenient and efficient to operate, free of complex pretreatment and suitable for on-site rapid screening.

The application provides a fault identification method and system based on multi-element spectral mineral anomaly analysis, relates to the fields of geology, spectroscopy, petrology and engineering geology, and a specific scheme comprises the following steps: in-situ testing of tunnel surrounding rock is carried out by using a visible light-near infrared, mid-infrared and laser Raman spectrometer, and mixed spectral variation characteristics are extracted; based on the mixed spectral variation characteristics, the mineral composition of the tunnel surrounding rock is identified according to the spectral identification standard of the abnormal mineral combination of the fault zone, quantitative inversion of the minerals is carried out, and the mineral content is obtained; according to the mineral anomaly mode of the fault zone, mineral anomaly analysis is carried out on the mineral composition, and the mineral anomaly type is obtained; based on the differential change of the mineral content and the mineral anomaly type, mineralogical anomaly characteristic analysis is carried out, and the fault identification result is output; the application replaces the experience knowledge of traditional geologists with quantitative information of multi-element spectral mineral anomaly, and further improves the accuracy and efficiency of fault identification in tunnels and underground engineering.

The invention belongs to the technical field of laser Raman gas analysis and detection, and particularly relates to a zero drift suppression and ray interference resistance method for laser Raman gas detection. According to the method, the interference of noise and cosmic rays in the laser Raman gas quantitative detection process can be reduced, so that the precision of a laser Raman gas quantitative detection result is relatively high, a data abnormal phenomenon hardly exists, and the probability of zero drift can be reduced. According to the method, the influence caused by noise and cosmic rays can be eliminated in a large probability.

The application discloses a method and device for testing interfacial water in a Z direction with nanometer scale step by Raman spectrum, and the method comprises the following steps: providing a bottom plate and an upper substrate on the top surface of the bottom plate, modifying the top surface of the bottom plate and the bottom surface of the upper substrate according to the interfacial type of the interfacial water to be tested; the left edge surface of the top surface of the bottom plate is attached to the left edge surface of the bottom surface of the corresponding upper substrate, and a partition is arranged between the top surface of the bottom plate and the bottom surface of the corresponding upper substrate; the partition forms a gap with increasing height between the top surface of the bottom plate and the bottom surface of the upper substrate; the water solution to be tested is added in the gap, the step length of the horizontal movement of the laser Raman is set, the Raman spectrum at different distances in the Z direction is obtained by detection, and the interfacial water condition at different distances in the Z direction is obtained by analysis. The method successfully analyzes the change of the interfacial water structure at different distances in the Z direction with nanometer scale for the first time.

The application discloses a method for generating a dual-wavelength pulsed laser by using a lens array, which comprises the following steps: a laser is used as a pumping light source to emit a laser beam; the laser beam is adjusted by a beam shaping system; the adjusted laser beam is converted into a plurality of sub-beams by a micro-lens array 4f system; the plurality of sub-beams are reflected back and forth in a Fabry-Perot cavity; the reflection of the plurality of sub-beams in the Fabry-Perot cavity is subjected to a laser Raman crystal; and the plurality of sub-beams are emitted from the surface of the Fabry-Perot cavity to become a dual-wavelength pulsed laser source. The application significantly improves the laser frequency conversion efficiency and the power of a new wavelength, and improves the utilization rate of the laser.

The present application provides a kind of solid pitch identification method based on rock slice, specifically comprising: grinding rock sample into rock slice, under polarizing microscope, the occurrence and optical property characteristics of solid pitch are observed using transmitted light, organic microcomponent and metal mineral interference are discharged, under polarizing microscope, the optical property characteristics of solid pitch are observed using reflected light, organic microcomponent and metal mineral interference are excluded, laser raman characteristics of solid pitch are tested, dark mineral interference is excluded, optical property characteristics and laser raman characteristics are comprehensively analyzed, and solid pitch is qualitatively and quantitatively identified.The method provided by the present application comprehensively considers the components most likely to be confused with solid pitch in rock, and is more in line with geological actual conditions;Rock slice preparation belongs to the most conventional and basic sample preparation method in the field of petroleum geology, which is simpler, more convenient and lower in cost;The identification method is simple, strong in operability and strong in universality;The qualitative and quantitative identification method has high accuracy.

The invention discloses a filling machine system based on the Internet of Things, and relates to the technical field of urea filling machines. A multi-mode fusion sensing module collects working condition environment, equipment health, fluid component traceability and characteristic full-dimension data through a three-dimensional and near-field traceability sensing array, a laser Raman spectrum and a micro-fluidic chip detector; the federated learning collaborative decision-making module derives a working condition-fluid interaction coefficient and an equipment-fluid adaptation degree based on the data, and evaluates a dynamic optimization strategy starting demand; the digital twinborn driving control and protection optimization module constructs a 1: 1 twinborn simulation optimal operation state, and generates a dynamic filling or anti-corrosion adjustment scheme adaptive to the scene; and the cross-equipment knowledge migration closed-loop module issues an optimization instruction, constructs a three-level compensation system based on the temperature regression duration and the corrosion rate variation, and analyzes a multi-parameter compensation scheme. Full-dimensional perception, intelligent decision making, dynamic adaptation and closed-loop optimization of data are achieved, and filling accuracy, safety and operation and maintenance efficiency are improved.

The invention relates to a spatial displacement laser spectrum detection method for wood identification. The method comprises four steps of instrument initialization, surface layer laser spectrum detection, base layer spatial displacement spectrum detection and comprehensive spectrum analysis of a detection target. The beneficial effects are that the same infrared laser is used as a laser pumping source of the infrared photonic crystal fiber and an infrared laser source for spatial displacement spectrum detection. The infrared absorption spectrum of the target surface layer and the infrared laser Raman and fluorescence spectrum of the base layer in the same wave number section can be detected at the same time, so that the material identification of the surface layer and the base layer is realized at the same time. Meanwhile, the wave number resolution of the infrared spectrum Fourier transform spectrum module is high, so that the high-resolution infrared laser Raman and fluorescence spectrum of the base layer can be obtained, and fine spectrum data is provided for base layer material identification. And the requirement for on-site rapid detection of wood products is met.

Provided is an inexpensive, low-environmental-burden laminated metal sheet and laminated metallic container that have basic properties such as formability, adhesion between the film and the metal sheet, and corrosion resistance, and that do not suffer from degradation in appearance due to whitening even when subjected to retort sterilization treatment. The laminated metal sheet 10 has a first film 31 laminated on at least one of a front surface 21 or a back surface 22 of a metal sheet 20. The first film 31 is homopolyethylene terephthalate or copolymer polyethylene terephthalate, and w(x) obtained by a linearly polarized laser Raman spectroscopic analysis for a cross section of the first film 31 satisfies the following expressions (1) and (2):w1730ID(1.)≤20⁢ cm-1 (1)w1730ND(1.)≤20⁢ cm-1.(2)

The invention belongs to the technical field of oil and gas resource exploration, particularly relates to a shale maturity evaluation method and system based on laser Raman spectrum classification, electronic equipment and a computer readable storage medium, and aims to solve the problem that the maturity of shale with complex components is difficult to accurately evaluate by an existing maturity evaluation method. The method comprises the following steps: firstly, identifying microscopic components of algae, inert plastid, vitrinite and solid asphalt in a sample; testing each component by using a laser Raman spectrometer to obtain spectral data, and calculating RBS values (displacement difference between a G peak and a D peak) and a mean value; models (a linear model for inert / vitrinite and an index model for algae / solid asphalt) are selected according to a component evolution mechanism and substituted into an RBS average value to obtain equivalent vitrinite reflectivity of different macerals, and the maturity is evaluated according to the equivalent vitrinite reflectivity. The method solves the problem of continental facies multi-component evaluation deviation, breaks through the bottleneck of no vitrinite of marine facies, is fast in test and low in data dispersion, and provides support for shale oil and gas evaluation.

The invention discloses a controllably prepared gold nanorod self-assembled array SERS (Surface Enhanced Raman Scattering) substrate as well as a preparation method and application thereof, and relates to the technical field of SERS (Surface Enhanced Raman Scattering) detection. The substrate comprises a silicon wafer and a surface self-assembled PVP modified gold nanorod array (the length-diameter ratio is 2.5 / 3.1 / 3.5 / 4.2, optimally 3.5), and the array is a continuous compact single-layer film and is excellent in uniformity and reproducibility. The preparation method comprises the following steps: synthesizing gold nanorods by adopting a seed crystal method, and preparing the substrate through three-phase self-assembly (dispersion liquid, dichloromethane, water and normal hexane); during application, a honey sample is pre-treated by a Carrez reagent and then is applied to a substrate, 785nm laser Raman detection is carried out (the characteristic peak is 1524cm <-1 >), the standard substance detection limit is 0.1 mg / L, the honey detection limit is 1mg / L, the adding standard recovery rate is 73.32%-95.92%, and the method is suitable for accurate detection of honey 5-HMF.

The invention belongs to the technical field of laser Raman spectrum detection, and relates to a multicolor electrochromic SERS (Surface Enhanced Raman Scattering) substrate as well as a preparation method and application thereof, the method comprises the following steps: synthesizing a vanadium pentoxide nanobelt by using vanadium pentoxide powder as a raw material through a simple solvent treatment method, and preparing the multicolor vanadium oxide electrochromic SERS film substrate by adopting a spraying processing technology. The multicolor vanadium oxide electrochromism SERS substrate has electrochromism and SERS effects, the change of charge transfer, charge density and band gap width is accompanied in the electrochromism process, and the SERS performance of the multicolor vanadium oxide electrochromism SERS substrate can be remarkably changed through the change. The color, the transmittance, the energy band gap and the detection performance can be accurately, reversibly and visually regulated and controlled by naked eyes by changing the external potential. The color of the multicolor electrochromic SERS substrate and the SERS detection performance have strong relevance, the SERS detection performance and molecular selectivity of the multicolor electrochromic SERS substrate can be judged through color change, and the multicolor electrochromic SERS substrate has great significance in trace detection of to-be-detected molecules.

The present invention provides a classification model for sheep echinococcosis and sheep brucellosis based on serum Raman spectroscopy, a method for establishing the model, and a detection device. The method for establishing the classification model for sheep echinococcosis and sheep brucellosis based on serum Raman spectroscopy comprises: (1) collecting blood from healthy sheep and diseased sheep, extracting serum, and obtaining serum samples; (2) detecting the serum samples using a laser Raman spectrometer to obtain Raman spectral data; (3) performing noise reduction, baseline correction, and normalization on the Raman spectral data to obtain pre-processed spectral data; (4) performing principal component analysis (PCA) dimensionality reduction on the processed spectral data, and then establishing a linear discriminant analysis (LDA) or support vector machine (SVM) classification model to obtain a classification model for sheep echinococcosis and sheep brucellosis. The classification model and detection device established by the present invention based on machine learning algorithms and Raman spectroscopy have potential in screening sheep infected with echinococcosis and sheep infected with brucellosis.

The invention belongs to the technical field of low-temperature vein ore deposit mineralization center positioning methods, and particularly relates to a low-temperature vein ore deposit mineralization center positioning method based on muscovite group minerals, which comprises the following steps of: collecting, analyzing and sorting regional geological data, and collecting geological characteristics, mineralization background, regional structure and metamorphic background of a mining area; analyzing muscovite cause types and determining mineralization conditions; field geological survey sampling and drilling rock core logging are carried out, surrounding rock alteration characteristics are observed, sampling and logging rock cores are recorded, and test samples are collected at intervals; the short-wave infrared spectrum technology, the electronic probe technology and the laser Raman spectrum technology are creatively integrated, classification characterization and multi-dimensional data mining are carried out on muscovite family minerals, key parameters such as Pos2200, ISM values and Raman peak displacement of the muscovite family minerals are extracted, muscovite types related to and unrelated to the minerals can be effectively distinguished, invalid indication information is eliminated, and the mining quality is improved. The positioning precision of the concealed ore body is remarkably improved, and the problems that relevance interpretation is insufficient and positioning is fuzzy in a traditional single technical means are solved.

This invention discloses a method and system for monitoring low-temperature solid-state reactions in gas-solid two-phase flow based on in-situ Raman spectroscopy, relating to the application of fiber optic sensing in solid-state reactions. The method includes: S1, designing the thickness t of the observation window glass on the top cover of the reaction chamber based on the volume of the gas-solid two-phase flow low-temperature solid-state reaction device; S2, installing the laser Raman probe in the in-situ Raman spectroscopy detection module at the location of the observation window glass; S3, adjusting the operating parameters of the gas-solid two-phase flow low-temperature solid-state reaction device and introducing high-pressure nitrogen gas into the reaction chamber; S4, starting the in-situ Raman spectroscopy detection module, setting the spectral acquisition parameters, and acquiring the Raman spectral characteristics of the substances within the reaction chamber through the laser Raman probe. Based on the acquired Raman spectral data, this invention can be used to analyze the solid-state reaction mechanism and reaction kinetics, and provide real-time feedback information for the optimized design of low-temperature solid-state reaction conditions in gas-solid two-phase flow.

The invention relates to the technical field of detection and enrichment of minerals in coal, and particularly provides a coal sample ashing degree control method and system based on a laser Raman spectrum. The method comprises the following steps: acquiring a laser Raman spectrogram of a coal sample in real time in an ashing process of the coal sample; determining ashing process characterization parameters of the coal sample based on the laser Raman spectrogram; turning over the coal sample based on a comparison result of the ashing process characterization parameter and the dynamically adjusted trigger threshold value; when it is judged that the ashing process characterization parameter reaches the preset completion standard, an ashing completion signal is output. The system comprises a coal sample ashing unit, a laser Raman instrument and a controller. The ashing unit comprises a sample bin, a coal sample bearing piece and a vibration device coupled with the coal sample bearing piece. An optical probe of the laser Raman instrument penetrates through the bin wall, and a light path of the optical probe is aligned with the sample area. And the controller is electrically connected with the laser Raman instrument, the vibration device and the sample bin. Therefore, closed loop of real-time monitoring, automatic judgment and automatic execution is realized, the necessity of manual intervention is thoroughly eliminated, the automation of the whole process is realized, the ashing efficiency can be improved, and the analysis of minerals and key metals can be realized.

The invention belongs to the technical field of Raman spectrum analysis, and particularly relates to an optical flow control Raman sensing chip based on an SERS substrate and a preparation method of the optical flow control Raman sensing chip. Comprising a first PDMS layer, a silicon-based optical waveguide layer and a second PDMS layer, the silicon-based optical waveguide layer is arranged on the top surface of the first PDMS layer, the silicon-based optical waveguide layer is provided with a top surface and two side surfaces, the second PDMS layer is located on the top surface and the side surfaces of the silicon-based optical waveguide layer, the surface, facing the side surface of the silicon-based optical waveguide layer, of the second PDMS layer is provided with a near-concentric cavity, and the near-concentric cavity is communicated with the silicon-based optical waveguide layer. The SERS composite layer is arranged in the near-concentric cavity, a reflecting film is arranged on the arc-shaped inner wall of the near-concentric cavity, a target solution is specifically combined with the SERS composite layer through the microfluidic channel, the SERS composite layer loaded with the target generates Raman laser under excitation of pump light, and the Raman laser outputs enhanced Raman laser under the synergistic effect of the arc-shaped inner wall and the reflecting film. Through the multi-dimensional coupling enhancement effect of the cavity structure, the collection efficiency of Raman signals is remarkably improved.

The application discloses a shale organic matter maturity acquisition method and device, which is applied to a shale gas well to be predicted. First, regional reservoir characteristics are input into a shale gas reservoir rock physical volume model to calculate shale resistivity. Then, shale resistivity and logging resistivity are subjected to division operation to obtain a maturity factor. Finally, a relationship model of the maturity factor and shale organic matter maturity is established by means of a laser Raman experiment. When the maturity of organic matter of different shale gas wells to be predicted is quantitatively evaluated, the maturity factor can be calculated by means of logging data, and the corresponding relationship between the maturity factor and the shale organic matter maturity can be reflected by establishing the relationship model, so that the maturity of the high-mature marine shale organic matter can be quickly and relatively accurately calculated.

The invention relates to the technical field of jadeite detection, in particular to a method for identifying organic matter types in jadeite based on a laser Raman spectrum D / G peak. According to the invention, the trace unsaturated hydrocarbon component (1t) of solid wax oil in jadeite is found for the first time; according to the present invention, the laser Raman spectrum D / G peak can induce the D peak (1350 + / -20 cm <-1 >) and the G peak (1600 + / -20 cm <-1 >) under the thermal effect of the laser, such that the method for determining the type of the organic matter in the jadeite based on the laser Raman spectrum D / G peak is developed for the first time, if the D peak and the G peak appear at the same time or only the G peak appears in the laser Raman spectrum, the organic matter in the jadeite is determined to be the solid paraffin, and if the D peak and the G peak appear in the laser Raman spectrum, the organic matter in the jadeite is determined to be the organic matter in the jadeite is determined to be the organic matter in the jadeite. Therefore, the corresponding relation between the unsaturated olefin component in the wax oil and the D / G peak of the Raman spectrum is established, and the blank of qualitative analysis of the organic matter of the jadeite is filled.

The application discloses a method for rapidly detecting the content of methane in combustible ice, and comprises the following steps: using a combustible ice vacuum decomposition device to perform vacuum decomposition on a combustible ice sample, so that the combustible ice sample is completely decomposed to obtain combustible ice decomposition gas; using a microscopic confocal laser Raman spectrometer to test the combustible ice decomposition gas; according to the obtained Raman spectrum, analyzing the corresponding methane spectrum peak area; and according to the external standard method, calculating the content of methane. The combustible ice is placed in vacuum for decomposition to obtain pure combustible ice decomposition gas; a vacuum pump is used to extract the decomposition device to a vacuum state; a constant temperature bath with controllable temperature is used to control the decomposition temperature; the phase equilibrium relationship of the combustible ice is used to collect the decomposition gas; a transparent gas bag is used to fill the decomposition gas; the Raman spectrometer is used to test the decomposition gas; the Raman spectrum of the sample is subjected to baseline correction, curve smoothing and other treatments to obtain the Raman characteristic peak area; and the external standard method is used to realize the rapid detection of the content of methane in the combustible ice.

The invention relates to the technical field of graphite negative electrode materials of lithium ion batteries, and discloses a method for evaluating the uniformity of a coating layer on the surface of coated graphite, which comprises the following steps: S1, respectively carrying out Raman surface scanning detection on a graphite base material and the coated graphite by using a laser Raman spectrometer to obtain ID / IG values of a plurality of point positions in a scanning range; s2, arranging ID / IG values of the graphite base material in a descending order, and removing front 10%-20% of point locations to obtain optimized data I; selecting the maximum ID / IG value in the optimized data I as a critical point M; s3, arranging ID / IG values of the coated graphite in a descending order, and removing front 10%-20% of point positions and rear 10%-20% of point positions to obtain optimized data II; and S4, calculating the coating rate K of the coated graphite: K = A / B. The accuracy of calculating the coating rate is high.

The invention provides a paleo-pressure evolution history recovery method and device in a shale gas forming process. The corresponding method comprises the following steps: determining a crack period of a crack according to an original occurrence of the crack of a rock sample in a target work area, a cement filling characteristic, a stratum occurrence of a stratum where the rock sample is located and a crustal stress direction of the target work area; wherein the crack is formed in a structure lifting stage or a settlement stage of the target work area; determining the paleopressure corresponding to the crack period according to the temperature of the salt water inclusion in the rock sample, the density of the pure methane inclusion and the laser Raman spectrum measurement result; and recovering the paleo-pressure evolution history of the target work area according to the magnitude of the paleo-pressure, a pre-generated burial history simulation result of the target work area and a pressure simulation result. The paleopressure at different times can be accurately, visually and continuously obtained, and the dynamic change of the formation pressure in the shale gas forming process is revealed from the angle of integration of geology, experiments and simulation, so that a basis is provided for shale gas exploration and development.

The present invention discloses a method for ocean surveying and mapping based on multi-beam bathymetric correction, belonging to the technical field of ocean surveying and mapping. This method uses a multi-beam sonar array, an acoustic tomography transceiver array, and a laser Raman probe to collect bathymetric echo signals, acoustic wave propagation delay data, and temperature data. This method then fuses these data to construct a dynamic refractive index field model, uses an adaptive variable step-size algorithm to correct for acoustic ray refraction distortion, and performs weighted distribution and data fusion on spatiotemporally adjacent beams to obtain high-confidence water depths and generate bathymetric topographic maps. This method solves the refraction distortion problem through multi-source data fusion, dynamically optimizes the acoustic ray tracking step-size, and uses weighted fusion to suppress noise interference, significantly improving the accuracy and reliability of topographic mapping in complex environments such as deep-sea hydrothermal areas.

The invention relates to a method for analyzing and detecting micro / nano plastic based on acetone assistance, and belongs to the technical field of micro / nano plastic detection. The invention relates to a method for analyzing and detecting micro / nano plastic based on acetone assistance, which comprises the following steps: evaporating and culturing a plastic acetone solution to be detected at 15-50 DEG C for 1-8 hours, then dropwise adding the plastic acetone solution to a gold-plated material, and detecting the plastic acetone solution by adopting a microscopic confocal laser Raman spectrometer. According to the method, the size of the micro / nano plastic is increased through acetone incubation treatment, and meanwhile, the gold-plated material is combined, so that the purpose of detecting an extremely small structure or capturing an extremely weak signal can be achieved, the Raman spectrum intensity is further enhanced, and the detection precision is improved. According to the method, the detection time of the micro / nano plastic can be shortened, the labor efficiency and the confidence and success rate of detection and identification are improved, the detection process is simplified, and even the qualitative and quantitative detection of the nano plastic below 200nm can be realized, so that the method has a wide application prospect in the field of micro / nano plastic detection.

The invention discloses a micro-plastic type and aging state synchronous identification method and system based on a dual-wavelength laser Raman spectrum, and belongs to the technical field of environment detection and analysis. The method comprises the following steps: collecting Raman spectrum data of the same micro-plastic sample under 532 nm laser and 785 nm laser; preprocessing and stacking along channel dimensions to construct a two-channel one-dimensional fusion tensor; and inputting the tensor into a pre-trained multi-task deep learning model. The model adopts an architecture of a shared feature extraction backbone network and double parallel classification heads, and can synchronously output types and aging state recognition results of the micro-plastics. According to the method, complementary information of the dual-wavelength spectrum is fully utilized, high-precision, automatic and synchronous identification of the types and aging states of the micro-plastics is realized through feature fusion and multi-task learning, the detection efficiency and accuracy are remarkably improved, and a reliable technical means is provided for precise evaluation of environmental risks of the micro-plastics.

The application relates to the field of geology and mineral resources, and discloses a detection analysis and ore-prospecting indication method of altered minerals in a granite-type uranium deposit, in particular to the identification of widely developed'reddening' altered material components in the Mianhuakeng uranium deposit in the north of Guangdong and the research on the ore-prospecting indication significance of the uranium deposit. Through polarization microscope, scanning electron microscope, laser Raman, electron probe and LA-ICP-MS and other technologies, it is found that the'reddening' material in the Mianhuakeng uranium deposit is mainly composed of hematite, goethite and a small amount of magnetite. The research finds that different forms of hematite are closely related to the enrichment degree of uranium, the self-morphology-hemihedral hematite is rich in uranium mineral inclusions, and the disseminated hematite contains uranium in the form of adsorption. The application provides a theoretical basis for granite-type uranium ore prospecting, and in particular, the crystallization form and element geochemical characteristics of iron oxides (hydroxides) are used to predict the uranium mineralization potential.

The invention relates to the technical field of nano material preparation, and particularly discloses a substrate growth pulling method of an ultra-long few-walled carbon nanotube array. The method comprises the following steps: firstly, pretreating a substrate, loading a zinc-based MOF derivative catalyst and forming a polymer transition layer; then in a reaction environment capable of providing an alternating magnetic field, a gradient electric field, a near-infrared light thermal field and layered gas flow, heating and introducing a carbon source gas in a pulse manner to grow the array, and meanwhile, carrying out on-line monitoring and real-time closed-loop regulation on growth parameters by utilizing a laser Raman spectrum; after the array grows to a preset height, staged gradient stress release lifting is executed, and layered airflow is used for assisting in stripping; and finally, removing the residual catalyst in an oxidizing atmosphere. The carbon nanotube array can be used in the fields of nano devices, composite material reinforcement and the like, and has the advantages of excellent directionality, low defect rate and strong structural integrity. The preparation method provided by the invention can be used for efficiently preparing the high-performance ultra-long few-walled carbon nanotube array.

The invention relates to a method for identifying dyed red jadeite based on multispectral combination, which belongs to the technical field of gemstone identification, and is realized by the following steps of: firstly, testing Raman shift of a sample by using a laser Raman spectrometer, and judging whether the sample is jadeite or not according to the characteristic Raman shift; then testing a functional group region peak position of the sample by adopting an infrared spectrum transmission method, and identifying whether the sample is subjected to organic dyeing treatment or not through a specific organic matter characteristic peak and an impurity mineral structure water characteristic peak; and finally, testing the ultraviolet-visible reflection spectrum of the sample, carrying out first-order derivative treatment, and identifying whether the sample is inorganic dyed red jadeite or natural red jadeite according to the peak position of the treated spectrogram. According to the method, the natural red jadeite and the dyed red jadeite can be efficiently and accurately identified, the identification efficiency and accuracy of the dyed red jadeite can be improved, and the market disorder of the red jadeite is reduced.