70 results about "Fluorescence spectroscopy" patented technology

Provided are a coal testing system and method, and a storage medium. The system comprises: a detection unit, which is used for collecting spectral data of a coal sample under test; a training unit, which is used for constructing, by means of the spectral data, neural networks across neural network dimensions on the basis of a greedy search, and obtaining a coal sample test model by means of performing training on the basis of simulated samples which have been subjected to sample augmentation; and an analysis unit, which is used for executing fusion processing on the spectral data to obtain target spectral data, and on the basis of the coal sample test model, executing target spectral data inference to obtain a coal test result, wherein the detection unit comprises a near-infrared spectroscopy collection module and an X-ray fluorescence spectroscopy collection module.

A digital-physical twin system and method for environmental process modeling and forecasting are disclosed. The system includes a digital twin server configured to receive environmental data from a real-world environment, including hyperspectral and spectroscopic imaging, simulate environmental process transitions using a predictive model based on the environmental data, and generate parameters for a physical experiment designed to validate or refine the predictive model. A physical twin device, comprising a scaled and instrumented representation of the real-world environment, is configured to execute the physical experiment under controlled conditions. Experimental data is returned to the digital twin to iteratively refine the predictive model in a closed-loop learning cycle using self-supervised and reinforcement learning. The system supports spatially-spectrally selective experimentation, including fluorescence spectroscopy, to enhance environmental sensing. This architecture enables scalable, sample-efficient modeling of processes such as post-wildfire hydrology, vegetation regrowth, and soil change.

The invention provides an urban rainwater pipe network mixed connection tracing method based on a pollution source fluorescence spectrum library in combination with machine learning. The method relates to the fields of numerous pollution sources around a pipe network, complex mixing and connecting conditions and the like. The method comprises the following steps: sampling through an inspection well to obtain a water sample; extracting an organic matter multi-dimensional characteristic matrix from the water sample by adopting technologies such as three-dimensional fluorescence spectroscopy (EEM) and the like; and carrying out fluorescence data analysis on the multi-dimensional characteristic matrix by using an NPLSDA (N-Way Partial Least Squares Discriminant Analysis) model, carrying out comparative analysis and identification, and determining the source of the pollution source. According to the technology, the specific source of mixed connection sewage of the rainwater pipe network can be quickly diagnosed through mixed connection rainwater well sampling analysis, and efficient and convenient decision support is provided for mixed connection transformation and traceability investigation of the urban rainwater pipe network.

This invention relates to a method, system, medium, and product for X-ray fluorescence spectrometry detection of bauxite, belonging to the field of bauxite detection technology. The method first acquires fluorescence spectral data and mining area environmental fingerprint data of the sample to be tested, and determines the initial concentration by background noise stripping. Then, a mineral phase interference network is constructed, and the interfacial radiation attenuation rate and secondary fluorescence excitation probability are calculated based on mineral phase characteristics to generate an interphase coupling interference matrix. Next, a stress field model is constructed based on environmental parameters, and the interference matrix is ​​corrected using the lattice distortion coefficient. The coexisting mineral phase combination is input into the environmental adaptive interference model to determine the nonlinear matrix effect deviation value. Finally, iterative compensation correction is performed until the difference between adjacent correction values ​​is less than a threshold, outputting accurate grade data of the target metal element. Implementing the technical solution provided in this application can improve the accuracy of X-ray fluorescence spectrometry detection of bauxite.

This invention discloses a method for quantitative analysis of multiple components in oxidized slag based on X-ray fluorescence spectroscopy, belonging to the field of industrial process detection technology. The method includes: acquiring the raw energy spectrum data of a standard oxidized slag sample and the oxidized slag sample to be tested, and performing background subtraction and smoothing noise reduction; extracting the integral intensity of the characteristic peaks of target elements, establishing spectral interference correction relationships and matrix effect compensation relationships; establishing regression prediction models and residual compensation models for each target oxide based on the compensated characteristic intensities; inputting the characteristics of the sample to be tested into the models, and outputting the final predicted values ​​of each target oxide; improving the accuracy of feature information extraction in the multi-component system of oxidized slag, reducing errors caused by spectral overlap, excitation effects, and matrix effects, and improving the accuracy, result stability, and prediction consistency of quantitative analysis of multiple target oxides under different sample conditions, making it suitable for rapid detection and analysis of complex oxidized slag samples.

The invention discloses a sulfur-nitrogen co-doped carbon quantum dot modified polyaspartic acid derivative as well as a preparation method and application thereof. The derivative is prepared by taking citric acid and L-cysteine as precursors, synthesizing sulfur-nitrogen co-doped carbon quantum dots (SN-CDs) with rich functional groups on the surface by adopting a hydrothermal method, and introducing the sulfur-nitrogen co-doped carbon quantum dots into a side chain of polyaspartic acid (PASP) through graft copolymerization. The derivative not only retains the complexing ability of polyaspartic acid with metal ions such as calcium and magnesium, but also has excellent scale and corrosion inhibition performance; the optical characteristics of the carbon quantum dots are inherited, and stable fluorescence can be emitted under the excitation of specific wavelength, so that in-situ and real-time concentration monitoring in an industrial circulating cooling water system by utilizing a fluorescence spectrum technology is supported. The product does not contain phosphorus, is environment-friendly, conforms to the development trend of a green water treatment technology, and provides an innovative material solution for intelligent monitoring and fine management of a circulating water system while improving the comprehensive performance of scale and corrosion inhibition.

The invention discloses a method for simulating phosphorus and chromium migration during farmland irrigation with acid mine wastewater, which comprises the following steps: mixing a plant-derived organic material with deionized water to obtain a soluble organic matter; h2O2 oxidizes Fe < 2 + > to prepare pure Schwertmannite, and the pure Schwertmannite is placed in a phosphate solution to obtain phosphorus-loaded Schwertmannite; mixing the phosphorus-loaded Schwertmannite and the soluble organic matter with a chromate solution, carrying out oscillation adsorption, carrying out solid-liquid separation after adsorption, carrying out CrO and POconcentration change test on filtrate, and carrying out mineral characterization on separated solids; a three-dimensional fluorescence spectrum is adopted to track composition conversion of the soluble organic matter in the reaction process; and analyzing the component change of the supernate before and after the reaction by adopting Fourier transform ion cyclotron resonance mass spectrometry. The influence mechanism of DOM on phosphorus and chromium fate in mineral / water interface molecular fractionation is disclosed from the molecular level, and a scientific basis is provided for collaborative migration risk assessment of phosphorus and heavy metal in acid mine wastewater irrigation area farmland.

This invention discloses a method for controlling the addition of supernatant from kitchen waste as a carbon source for denitrification based on three-dimensional fluorescence spectroscopy. The method includes steps such as sample collection and detection, three-dimensional fluorescence spectral processing, establishment of a multiple linear regression model, and control of the carbon source dosage. By acquiring real-time online data on the changes in three-dimensional fluorescence spectra during the denitrification process of nitrate-containing wastewater and combining this with a multiple linear regression model to predict carbon source consumption, this invention achieves precise control of the carbon source dosage, ensuring a sufficient supply of carbon source during the denitrification stage while avoiding waste caused by excessive carbon source addition. This significantly improves the denitrification rate, reduces energy consumption and operating costs, and ensures that the effluent quality meets standards.

The invention discloses a component quality testing method of a metal-plastic composite material for an electric bicycle. The component quality testing method comprises the following steps: (1) determining the types of metal elementary substances by using an X-ray powder diffraction method; (2) measuring the content of the metal elementary substance by using an X-ray fluorescence spectrometry; and (3) determining the plastic content by using a calcination method or an extraction method. According to the invention, whether the material to be detected is the metal-plastic composite material or not can be determined, the type and content of metal simple substances and the content of plastic in the composite material can be detected, the blank in the industry is filled, and the development and application of the composite material in the electric bicycle industry are promoted.

The application provides a method for detecting the content of each component in a mixture, which is mixed by various inorganic raw materials, and comprises the following steps: step 1, grinding, mixing and uniformly taking a certain amount of each of the to-be-detected substance and various raw materials thereof as samples; step 2, heating and calcining each sample to obtain the ignition loss value of each sample, and then performing a melting sheet treatment on each sample; step 3, using an X-ray fluorescence spectrometer to measure each sample after the melting sheet treatment, combining the corresponding ignition loss value, obtaining the oxide content in the to-be-detected substance and various raw materials thereof, and obtaining the oxide content corresponding to the to-be-detected substance and various raw materials thereof and the characteristic spectrum; and step 4, according to the oxide content and the characteristic spectrum of the to-be-detected substance and various raw materials thereof, analyzing the content of each raw material in the to-be-detected substance by spectrum fitting and least square method algorithm. The application can quickly and accurately detect the component content of mixtures such as cement and soil, and confirm whether the product is qualified.

The invention relates to an element content test method, which comprises: determining a final calibration curve, which is a curve for reflecting the relationship between the fluorescence intensity of a target metal element in a metal liquid sample to be tested and the content of a corresponding target metal element in a precursor prepared from the metal liquid sample to be tested; the method comprises the following steps: measuring a to-be-measured molten metal sample through X-ray fluorescence spectrometry to obtain the fluorescence intensity corresponding to each metal element, and obtaining the content of each metal element in a precursor obtained from the to-be-measured molten metal sample according to the fluorescence intensity. According to the method, whether the metal content in the product meets the process requirement or not can be judged by detecting the metal content in the precursor molten metal, the detection efficiency is improved, and the yield of the product is increased.

The invention discloses a method for determining ash content of recycled polystyrene plastic by X-ray fluorescence spectroscopy, which comprises the following steps: selecting recycled polystyrene plastic with different ash content as a standard sample, determining the content of all elements of the plastic by using an X-ray luminoscope, taking organic components of the recycled polystyrene plastic as equilibrium phases to participate in calculation, and determining the ash content of the recycled polystyrene plastic by using the X-ray luminoscope to determine the ash content of the recycled polystyrene plastic. And dividing the standard sample into two sections according to the ash content, and fitting the two sections with the actual ash content function respectively. And measuring the fluorescence spectrum of the sample to be measured, calculating the theoretical ash content, and correcting the theoretical ash content by using a function. Compared with a standard ash content measuring method, the method does not need to burn plastic, and is simple, rapid, environment-friendly and safe. Compared with an empirical coefficient method of X rays, a direct tabletting method can be selected, a calibration curve of elements does not need to be established, and the analysis efficiency is improved; meanwhile, matrix effect and element spectral line overlapping caused by matrix difference between an actual sample and a standard sample are avoided, and the analysis precision is improved.

This invention discloses a method for determining the concentration of sulfated glycosaminoglycans using fluorescence spectroscopy. The fluorescent probe carries a certain number of arginine residues. Utilizing the electrostatic interaction between the amino groups on the arginine residues and the sulfate ions on the sugar chains, a series of fluorescent probe molecules can align neatly along the sugar chains to form a stable fluorescent complex. Due to the small spatial distance between the fluorescent chromophores in the complex, the original fluorescence emission band shifts. By calculating the ratio of the fluorescence intensities at two points, the concentration of sulfated glycosaminoglycans can be determined. This invention provides accurate detection results, good reproducibility, and high sensitivity; the experimental materials are simple, saving a significant amount of time.

The invention relates to an underground water nitrogen metabolism function prediction and regulation method based on a three-dimensional fluorescence spectrum and automatic machine learning. The method comprises the following steps: collecting underground water microbial gene sequencing serial numbers in literatures and fluorescence emission spectrum data of corresponding water samples; according to the obtained gene sequencing data serial number, downloading microbial gene sequencing data, and carrying out normalization processing on required emission spectrum data; selecting a functional gene reflecting underground water nitrogen metabolism capability and calculating relative abundance; and constructing a machine learning model of underground water nitrogen metabolism. The selected optimal model can accurately predict and understand underground water nitrogen metabolism, reveal the influence of DOM fluorescence properties on an underground water ecosystem, and can be used for predicting the underground water microorganism nitrogen metabolism function of an unknown area.

The invention discloses a method for determining the ash content of recycled polyethylene glycol terephthalate (PET) plastics by combining near infrared spectroscopy with X-ray fluorescence spectroscopy, which comprises the following steps: collecting a series of plastic samples, and establishing a quantitative analysis model of carbon, hydrogen and oxygen elements in the PET plastics by utilizing the near infrared spectroscopy. The method comprises the following steps: selecting PET recycled plastics with different ash contents as standard samples, analyzing the carbon-hydrogen-oxygen contents of the standard samples by using a near infrared spectrum, taking the carbon-hydrogen-oxygen ratio of the recycled plastics as an equilibrium phase to participate in calculation, measuring the full-element content of the plastics by using an X-ray luminoscope, calculating the theoretical ash contents of the standard samples, and dividing the standard samples into two sections according to the ash contents, and fitting with an actual ash content function respectively. And scanning the near infrared spectrogram of the sample to be detected, determining the content of carbon, hydrogen and oxygen elements, scanning the fluorescence spectrum, calculating the theoretical ash content, and correcting the theoretical ash content by using a function. The method disclosed by the invention is simple, efficient, environment-friendly and safe, and the analysis precision is improved.

The invention discloses an offshore water oil concentration monitoring method based on three-dimensional fluorescence and liquid level compensation. The method comprises the following steps: S1, measuring the liquid level height, the fluorescence intensity and the fluorescence spectrum of a current to-be-measured water body to obtain the real-time liquid level height, the real-time fluorescence intensity and the mixed fluorescence spectrum; s2, acquiring a correction factor under the real-time liquid level height according to a pre-calibrated correction curve, and calculating to obtain corrected fluorescence intensity by combining the real-time fluorescence intensity; s3, comparing the fluorescence spectrum in the step S1 with standard oil type spectrum data to identify the type of the mixed oil type in the water body to be detected; and S4, selecting a corresponding quantitative analysis method according to the spectrum overlapping degree of different oil types in the fluorescence spectrum so as to determine the actual concentration of the mixed oil type. According to the invention, the influence of liquid level fluctuation on light intensity is dynamically offset, and the accuracy and reliability of concentration measurement are ensured; by utilizing a three-dimensional fluorescence spectrum and a linear superposition principle, identification and accurate quantification of mixed oil types are realized.

The invention discloses an antibiotic identification method based on a three-dimensional fluorescence spectrum Reeb graph. The method comprises the following steps: step 1, constructing an EEM sample data set containing various known antibiotics; step 2, constructing a Reeb graph based on the preprocessed EEM data; 3, quantitatively extracting Reeb graph features from the constructed Reeb graph, including the number of maximum value points, the number of branches, the total length of the branches, the integration of the fluorescence intensity of the branches and the ratio of the intensity to the length of the branches, and forming feature vectors of the antibiotics; step 4, constructing an antibiotic feature library; and step 5, inputting the feature vector into a pre-trained machine learning classifier to perform antibiotic category identification. According to the method, the morphological information of the EEM is effectively captured by utilizing the three-dimensional Reeb graph characteristics of the EEM; and the recognition accuracy of antibiotics in a complex water body environment and the robustness of concentration and peak drift are remarkably improved. The method is suitable for rapid and accurate monitoring of antibiotic pollution in water, and provides technical support for environmental protection.

The invention relates to a device (1) for analyzing a heterogeneous sample (S), the device (1) comprising a measurement module (100) having a reservoir (110) configured to contain the sample (S), a first infrared spectroscopy subassembly (120) and a second fluorescence spectroscopy subassembly (130). The first subassembly comprises a diffusing optical element (140) positioned to allow reliable infrared spectroscopy measurements with high precision without degrading fluorescence spectroscopy measurements occurring on the same sample. The device further comprises a processing module (200) connected to the measurement module (100) by a communication network (300) and comprising a processor (220) configured to analyze data obtained by infrared spectroscopy and fluorescence spectroscopy.

We provide an apparatus for analyzing heterogeneous samples. [Solution] The apparatus comprises a reservoir 110 configured to contain a sample, and a measurement module 100 having a first infrared spectroscopy subassembly and a second fluorescence spectroscopy subassembly. The first subassembly includes a diffusive optical element 140 positioned to enable highly accurate and reliable infrared spectroscopy measurements without degrading fluorescence spectroscopy measurements performed on the same sample. The apparatus further comprises a processing module 200 connected to the measurement module 100 by a communication network and equipped with a processor configured to analyze data obtained by infrared spectroscopy and fluorescence spectroscopy.

This invention discloses a nanosheet Tb-MOF fluorescence sensor for detecting Al in phosphogypsum and red mud. 3+ The detection application utilizes Tb(NO3)3·5H2O and H4BTTC as raw materials, with benzoic acid as a modifier, to prepare a Tb-BTTC MOF fluorescent sensor with a nanosheet structure and benzothiadiazole functionalization using a microwave-assisted synthesis method. This material can be used as a fluorescent sensor to detect Al in phosphogypsum and red mud. 3+ This invention utilizes highly selective, "on"-type fluorescence enhancement detection, accompanied by a significant blue shift (approximately 10 nm), with a fluorescence spectroscopy detection limit of 0.065 μM. It constructs an intelligent sensing platform integrating a smartphone and a portable UV lamp, achieving Al2O3 detection through fluorescence color and RGB analysis. 3+ The rapid on-site quantitative detection method can be applied to the rapid and visual detection of aluminum ions in solid wastes such as red mud and phosphogypsum, providing new materials and methods for the real-time and portable detection of aluminum ions in red mud and phosphogypsum.

This invention discloses a multi-mode non-destructive testing method and system for turbine blades, relating to the field of non-destructive testing technology for aero-engine and gas turbine turbine blades. Addressing the problems of isolated and spatially uncorrelated data from existing fluorescence penetrant testing, X-ray fluorescence spectroscopy, and X-ray diffraction testing, which makes it difficult to quantitatively assess the risk of penetration coupled with surface defects and residual stress, this invention uses the three-dimensional point cloud of the turbine blade as a benchmark to achieve pixel-level spatial registration of the three types of testing data. By calculating the distance from the bottom of the surface defect to the high-stress zone and combining it with a safety threshold dynamically correlated with the material's fracture toughness and residual stress peak value, the invention automatically and quantitatively determines the penetration risk and outputs quality conclusions based on multi-modal features. It can also automatically generate laser repair paths and G-codes. This invention significantly improves testing accuracy and efficiency, forming an intelligent closed loop of testing and repair, and is suitable for turbine blade manufacturing quality assessment and service life prediction.

The invention belongs to the technical field of medicine quality safety detection, and relates to a rapid and high-sensitivity detection method for sulfur dioxide (SO2) and derivatives thereof in traditional Chinese medicinal materials. The structural formula of the fluorescent probe is shown in the specification. The fluorescent probe (SO2P1) provided by the invention has weak fluorescence in a DMF-PBS (Dimethyl Formamide-Phosphate Buffer Solution) solution system, and can be subjected to specific nucleophilic addition reaction with the probe SO2P1 by utilizing the nucleophilicity of sulfur dioxide and derivatives thereof to generate a product with strong fluorescence, so that specific selection and quantitative detection of sulfur dioxide are realized. Recognition characteristics of the probe SO2P1 and common active small molecules in a DMF-PBS solution system are researched through a fluorescence spectrophotometer. The probe SO2P1 has good specific selectivity on sulfur dioxide and strong anti-interference performance, and has a wide pH value application range. The lowest detection limit of the probe on sulfur dioxide is 0.85 mu M, and the probe has a wide application prospect in the field of quality safety of traditional Chinese medicinal materials.

This invention discloses a multi-point online inspection system and method for liquid components based on XRF detection. In this system, multiple sampling mechanisms are installed at various designated points corresponding to the liquid tanks to be tested, used to extract and temporarily store liquid from the tanks. An inspection robot carries a liquid component detection unit and moves to the target location according to inspection commands issued by a central control computer. A sample cup positioning structure ensures precise alignment between the liquid component detection unit and the sample cup. The liquid component detection unit performs component detection on the liquid temporarily stored in the sample cup using X-ray fluorescence spectroscopy. The central control computer communicates with the liquid component detection unit, the inspection robot, and the sampling mechanisms, issuing inspection and sampling commands. This invention integrates X-ray fluorescence detection technology, robot movement technology, and automatic sampling technology to achieve automated, rapid, and accurate detection of liquid components at multiple points in the smelting process.

1. Name of the product in this design: Water Quality Early Warning and Source Tracing Analyzer (Three-Dimensional Fluorescence Synchronous Absorption). 2. Purpose of this design: For use in a water quality monitoring device based on three-dimensional fluorescence spectroscopy technology. 3. The key design features of this product are the combination of the overall shape and pattern of the product. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

Method for detecting a viral agent, comprising the steps of : providing a sample to be analysed in liquid form; introducing one or more antibodies labelled with one or more fluorophores, said antibodies being configured to selectively bind with one or more proteins of an outer membrane of the viral agent; eliminating unbound labelled antibodies; exposing the s amp 1 e to electromagnetic radiation; detecting a fluorescence response emitted by the labelled antibodies; and detecting the viral agent on the basis of the detected fluorescence response.

This invention discloses an energy-dispersive X-ray fluorescence (EDXRF) spectroscopy detection device with intelligent switching between automatic and manual modes. The device includes: a main unit comprising a body, a controller housed within the body, and an operation screen connected to the controller; a sample carrier at the top of the body; an automatic sample feeding box for loading samples and mounting them on the sample carrier; and a manual sample feeding box for loading samples and mounting them on the sample carrier. The controller identifies whether the sample feeding box or the manual sample feeding box is mounted on the carrier, determines the automatic or manual sampling mode based on the identification result, and displays the corresponding mode's operation interface on the operation screen. According to this embodiment of the spectroscopy detection device, manual and automatic modes are integrated and can be automatically switched, achieving intelligent automatic detection and improving detection efficiency.

This invention relates to spectroscopic technology, specifically providing a method for oil analysis in water based on the fusion of ultraviolet absorption spectroscopy and three-dimensional fluorescence spectroscopy, comprising the following steps: A1. Obtaining oil samples of different types and concentrations, and obtaining the corresponding ultraviolet absorption spectra and three-dimensional fluorescence spectra; A2. Expanding the three-dimensional fluorescence data and ultraviolet absorption spectral data, corresponding to the excitation wavelength, and stitching the two together to obtain the fused spectrum, with absorbance as a separate column; A3. Decomposing the fused spectrum X and the dependent variable matrix Y; obtaining a set of T and U with the maximum covariance, thereby obtaining the model B=(T T T) ‑1 T T U; A4. Obtain a water sample, obtain the corresponding fusion spectrum according to A1 and A2, and use the model to obtain Y, thereby determining the type of oil in the water and the corresponding concentration. This invention has advantages such as accuracy.

The invention relates to the technical field of spectrometers, and discloses a miniaturized in-situ three-dimensional fluorescence spectrum detection device based on an LED array and quantum dots, and the device comprises a multi-wavelength LED light source module, a sample pool, a quantum dot spectrometer and a data processing control unit which are annularly arranged. During working, the control unit sequentially lightens LED excitation samples with different wavelengths, and generated fluorescence is coded into a specific light intensity pattern by the quantum dot optical filter array and is captured by the CMOS detector; and the data processing unit reconstructs a high-resolution emission spectrum through a deep learning model, and finally synthesizes a three-dimensional fluorescence spectrum. The device adopts a fully-sealed IP68 protective shell, has the advantages of small size, low power consumption, strong interference resistance, good environmental adaptability and the like, can realize in-situ, rapid and high-precision fluorescence detection of a field water body, and is suitable for the fields of environmental monitoring, biomedicine and the like.

A resin particle having a parent particle containing a biodegradable resin, wherein the amount of alkali metal atoms A present in the surface of the resin particle relative to the total amount of atoms present in the surface of the resin particle, measured by X-ray photoelectron spectroscopy, and the amount of alkali metal atoms B present in the resin particle relative to the total amount of atoms present in the resin particle, measured by X-ray fluorescence spectroscopy, satisfy the relationship 0 ≤ (A / B) < 0.15 and 0.005 atomic% ≤ B ≤ 0.5 atomic%.