53 results about "Laser raman spectroscopy" 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 invention belongs to the field of petroleum geology and fluid geochemistry, and discloses a method for limiting opening duration of a natural horizontal hydraulic fracturing tensible fracture in a reservoir. The method comprises the following steps: determining that a horizontal tensional fracture is developed in rock, collecting a rock sample, making a fluid inclusion slice, determining the characteristics of filling blocky crystals in the fracture, combining fluid inclusion lithofacies observation and laser Raman spectroscopy analysis technologies, and selecting a methane-rich fluid inclusion combination as a research object. And carrying out subsequent microscopic temperature measurement analysis and PVT simulation, combining a PVT simulation result with a basin evolution history, and finally obtaining the opening duration of the natural horizontal hydraulic fracturing tensible fracture on the basis of judging the existence of the ultra-quiet rock fluid pressure. The method is low in cost and high in operability, and a certain judgment basis is provided for enrichment and loss of shale gas and tight sandstone gas.

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 invention relates to the technical field of medicine analysis and treatment detection, in particular to a laser Raman spectroscopy method for rapidly screening sulfur dioxide residues in traditional Chinese medicine and application of the laser Raman spectroscopy method. And finally, the optimal laser Raman spectroscopy is obtained. The method is good in specificity and durability, the detection limit is 400 mg / kg, and the Raman enhanced reagent has no interference on the test, so that the method is good in accuracy and has a wide application prospect.

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 present invention belongs to the field of petroleum geology and fluid geochemistry, and discloses a method for limiting the duration of opening of natural horizontal hydraulic fractures in a reservoir. By determining that horizontal tensile fractures are developed in the rock, collecting the rock sample and making fluid inclusion thin sections, determining the characteristics of the massive crystals filling the fractures, combining fluid inclusion petrographic observation with laser Raman spectroscopy analysis technology, selecting a methane-rich fluid inclusion combination as the research object, conducting subsequent microthermometry analysis and PVT simulation, combining the PVT simulation results with the basin evolution history, and finally obtaining the duration of opening of natural horizontal hydraulic fractures based on the identification of the existence of ultra-static rock fluid pressure. The method of the present invention is low in cost and highly operational, and provides a certain basis for judging the enrichment and loss of shale gas and tight sandstone gas.

Provided is an AlN monocrystal substrate exhibiting a high transmittance (i.e., a low absorption constant) in the ultraviolet region (e.g., a wavelength of 265 nm). This AlN monocrystal substrate is composed of AlN monocrystals and measures at least 100 μm in thickness. In a cathodoluminescence (CL) spectrum measured at a temperature of 30K, the ratio IB / IA of the peak intensity IB observed at 270-370 nm to the peak intensity IA observed at 200-230 nm is less than 4300. When a Raman spectrum corresponding to a depth position relative to the surface of the AlN monocrystal substrate is acquired by laser Raman spectroscopy, the difference between the wave number at which the E2 H peak is given in the Raman spectrum at a position 40 μm deep from the surface of the AlN monocrystal substrate and the wave number at which the E2 H peak is given in the Raman spectrum at a position 5 μm deep from the surface of the AlN monocrystal substrate is 0.40 cm-1 or less.

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.

A modified recycled carbon black having a N2SA of 50 m2 / g or more and 250 m2 / g or less, and having, in a Raman spectrum obtained by performing measurement at an excitation wavelength of 532 nm by laser Raman spectroscopy, a peak intensity of a peak having a peak top in a range of 1,580±20 cm−1, with the peak intensity of a peak having a peak top in a range of 1,350±20 cm−1 being 100, of 84 or more and 111 or less. The present invention can provide a recycled carbon black having strong bonding with rubber components and having high reinforcing properties for rubber products.

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 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 present disclosure provides a detection system and a detection method for a composite detector, comprising a composite detector, a constant-temperature box, a smoke generator, a standard gas storage tank, a gas collection device and a laser Raman spectroscopy analyzer; the constant-temperature box is sealed, and both the composite detector and the gas collection device are arranged in the constant-temperature box; the smoke generator, the standard gas storage tank and the laser Raman spectroscopy analyzer are all arranged outside the constant-temperature box; the constant-temperature box, the smoke generator, and the standard gas storage tank are used to simulate the environment battery thermal runaway, the laser Raman spectroscopy analyzer obtains a first detection data of gas, the composite detector obtains a second detection data, by comparing and analyzing the first detection data with the second detection data, the composite detector is calibrated and a qualitative and quantitative detection result is obtained.

The present invention belongs to the fields of petroleum geology and tectono-diagenesis, and specifically discloses a method for determining the direction of the ancient maximum compressive stress during the formation of orthogonal tensile fractures. By combining the petrographic characteristics of fluid inclusions trapped in different minerals within orthogonal tensile fractures and the analysis of the development types of fluid inclusions, conducting laser Raman spectroscopy tests on methane-rich inclusions and microthermometric analysis of coexisting brine inclusions, using the pressure-volume-temperature simulation method to obtain the fluid pressure and temperature during the mineral crystallization process, combining the trapped temperature data with the burial history curve of this area, identifying the opening process and state of two groups of orthogonal tensile fractures, obtaining the time coupling relationship when the orthogonal tensile fractures are in the open state, and finally obtaining the direction of the ancient maximum compressive stress during the simultaneous opening process of the orthogonal tensile fractures according to tectonic stress analysis. It provides a new idea and method for judging the direction of the ancient maximum compressive stress during the formation of orthogonal tensile fractures.

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.

The present invention belongs to the technical field of laser Raman spectroscopy detection and relates to a SERS substrate based on mesoporous Au nanospheres, a preparation method and application thereof. Nα-[(9H-fluorene-9-ylmethoxy)carbonyl]-D-lysine hydrochloride is used as a template agent, and mesoporous Au nanospheres with three-dimensional radial shapes are synthesized by a one-pot co-reduction method. The prepared SERS substrate based on the mesoporous Au nanospheres can achieve non-contact enhancement and retention of molecular intrinsic vibration information, selectively enrich small molecule enantiomers, eliminate interference from biological matrix macromolecules, and can achieve trace detection of MA and METH in urine.

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 application discloses a detection device, comprising: a laser configured to emit laser to a to-be-detected object; a Raman spectrometer configured to receive Raman light from the object; an imaging device configured to acquire an image of the object; and a controller configured to control an operation of the detection apparatus based on an image acquired by the imaging device. The invention further discloses a detection method using the detection equipment.

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.

A resin-coated metal sheet for containers includes a polyester resin coating layer on at least one side of a metal sheet. The polyester resin coating layer is such that the half-width of a peak assigned to C═O stretching vibration near 1730 cm−1 according to laser Raman spectroscopy is 24 cm−1 or more and 28 cm−1 or less as measured in such a manner that linearly polarized laser light with a wavelength of 532 nm is incident on the surface thereof in such a manner that the polarization plane is parallel to the rolling direction of the metal sheet; the polyester resin coating layer contains 0.010 mass % or more and 1.0 mass % or less of an organic lubricant.

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 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 belongs to the technical field of laser Raman spectrum detection, and relates to an SERS (Surface Enhanced Raman Scattering) substrate based on mesoporous Au nanospheres as well as a preparation method and application of the SERS substrate based on the mesoporous Au nanospheres. N alpha-[(9H-fluorene-9-ylmethoxy) carbonyl]-D-lysine hydrochloride is used as a template agent, and the three-dimensional radial mesoporous Au nanospheres are synthesized through a one-pot co-reduction method; according to the prepared SERS substrate based on the mesoporous Au nanospheres, non-contact enhancement and retention of inherent vibration information of molecules can be realized, micromolecular enantiomers are selectively enriched, interference of biological matrix macromolecules is eliminated, and trace detection of MA and METH in urine can be realized.

The invention provides a non-stop drunk driving detection system and method fusing a laser absorption spectrum and a laser Raman spectrum. Comprising a dual-mode laser emitting unit, a light transmission unit and a signal receiving and processing unit. In the transmitting unit, a signal generator generates a superposition modulation signal of sawtooth waves and sine waves to drive a first laser to output modulation laser for absorption spectrum analysis; the second laser outputs laser for exciting Raman scattering; and the mode switching controller supports synchronous work of an absorption mode, a Raman mode or dual modes. The optical transmission unit emits the laser light to a vehicle cabin and collects a return optical signal. The receiving and processing unit demodulates an absorption signal through a lock-in amplifier to obtain a harmonic wave, analyzes a Raman scattering signal through a spectrograph to obtain a characteristic peak, and further calculates the alcohol concentration, so that rapid and reliable non-contact detection is realized.

The carbon material dispersion liquid disclosed herein contains a crystalline carbon material, a dispersant which has a basic functional group and a weight average molecular weight of 1,000 or more, and a nonaqueous solvent. The carbon material in the carbon material dispersion liquid has a peak intensity ratio (IG / ID) of 45 or less as obtained by laser Raman spectroscopy. The carbon material dispersion liquid has a temperature change rate X of 1.0 or less, the temperature change rate X being expressed by the following formula: X = |D2 - D1| / D1 (wherein D1 is the median diameter (µm) of the carbon material in the carbon material dispersion liquid at 20°C, D1 ≤ 30 is satisfied, and D2 is the median diameter (µm) of the carbon material in the carbon material dispersion liquid at 80°C).

The application discloses a kind of detection methods of regenerated polyester fiber, comprising the following detection steps: step S1, detection cloth is laid on detection bearing seat, detection bearing seat includes arc surface in upper portion, cloth is laid with arc surface and is attached;Step S2, open detection light path, the light of detection light path is focused on the P point of cloth outer surface, the light of detection light path is shot and the included angle α is formed with the normal direction of cloth at P point;Step S3, adjust the height difference of detection light path and cloth, so that the included angle α changes, to adapt to the included angle α value required by different cloth;Step S4, using laser raman spectrometer as the light source of detection light path, to detect the regenerated polyester fiber of cloth.The application provides a kind of detection methods of regenerated polyester fiber, changes incident included angle α to meet the detection needs of different cloth.