123 results about "Fluorescence spectroscopy" patented technology

The invention provides an online quality detection method of a nerve-soothing and brain-nourishing liquid based on multispectral fusion, and aims at solving the bottleneck problems of long offline time consumption, weak multi-index detection capability, poor dynamic adaptability and the like in the traditional detection technology, and realizing intelligent quality control of the whole process of the production technology. The device integrates an ultraviolet-visible spectrum module, a near-infrared spectrum module and a fluorescence spectrum module, constructs a multi-scale residual convolutional network to extract near-infrared spectrum characteristics, analyzes a fluorescence excitation-emission matrix through bidirectional LSTM, and cooperates with dynamic baseline correction of an ultraviolet spectrum, so that the icariin content detection precision is improved by 40% compared with that of a traditional HPLC method, the heavy metal residue detection lower limit reaches 0.05 ppm, and the detection accuracy is greatly improved. And an innovative solution is provided for intelligent production of traditional Chinese medicine preparations.

The invention relates to the technical field of component analysis, and discloses an X-ray fluorescence spectrum-based rock and ore silicate component analysis method, which comprises the following steps: S1, sample collection and pretreatment: collecting, crushing and drying an initial sample, S2, sample tabletting preparation, S3, standard sample preparation, S4, X-ray fluorescence spectrum analysis, and S5, data processing and result analysis. According to the method, a complex interference characteristic mode between elements can be automatically captured through an established deep learning model and learning of a large number of known components and fluorescence spectrum data, and in an example of correcting interference between multiple elements in rocks and mines, the model can utilize a network structure of the model and comprises an established convolutional layer, a pooling layer and a full-connection layer. Effective information is extracted from multiple groups of sample data, the interference relation between elements is accurately learned, and compared with a traditional method, the precision of analyzing the content of silicate components in rock ore is remarkably improved, so that a measurement result is closer to a real value.

The invention provides a precious metal analyzer accurate spot measurement method and system based on a micro-area x fluorescence spectrum, and the method comprises the steps: applying an X-ray light beam to a preset to-be-measured point, adjusting the focusing position of the X-ray light beam through a micro-light beam focusing technology, and generating a micro-area light spot which is aligned with the spot measurement position of the preset to-be-measured point in real time; collecting an X fluorescence signal generated by excitation of the micro-area light spot; performing dynamic noise suppression processing on the X fluorescence signal by using a preset adaptive digital filter to generate a denoised X fluorescence signal; inputting the de-noised X fluorescence signal into a preset spectrum peak value automatic identification algorithm to obtain characteristic peak value data; and matching the characteristic peak value data with a preset precious metal element type database to generate an element spot measurement result. According to the method, the composite problems of displacement drift, signal distortion and element misjudgment in microcell point measurement are solved, and the precision and efficiency of precious metal analysis are remarkably improved.

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.

The invention provides a sea surface oil film thickness measuring method based on optimized laser-induced fluorescence spectrum wave bands, and belongs to the technical field of spectral analysis. The method comprises the following steps: emitting an excitation light beam to a to-be-measured sea surface oil film by using a laser, and exciting the oil film to generate a fluorescence signal; receiving the fluorescence signal based on a spectrum acquisition device, and obtaining fluorescence spectrum data of the oil film; selecting a characteristic wave band from the fluorescence spectrum data through a sparse partial least square model, and predicting the thickness of the sea surface oil film based on the characteristic wave band in combination with Lasso regression; meanwhile, the selection of characteristic wave bands is optimized by using a hedera helix algorithm. According to the method, the characteristic wave band of oil film detection is selected through the sparse partial least square model, the oil film measurement characteristic wave band is efficiently and accurately obtained, full-wave band collection is avoided, and the detection efficiency is improved; and in combination with the hedera helix optimized sparse partial least square model, the accuracy of characteristic wave band selection and the generalization of the model are further improved, and the precision and efficiency of oil film thickness measurement are remarkably improved.

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 relates to a three-dimensional fluorescence spectrum image super-resolution reconstruction method for a water quality detection instrument, which is suitable for reconstructing a low-resolution and sparse three-dimensional fluorescence spectrum image collected by a portable water quality detection instrument into a high-resolution full spectrum. According to the method, an efficient super-resolution reconstruction network architecture composed of a feature extraction module, an up-sampling module and a trainable multi-Gaussian mixture point spread function is constructed. A joint loss function combining a reconstruction error and a degradation consistency error is designed, and a joint training strategy is adopted to synchronously optimize a network and PSF parameters, so that accurate reduction of a fluorescence peak shape structure and enhancement of spectrum authenticity are realized. The applicability and robustness of the portable water quality detection instrument based on the three-dimensional fluorescence spectrum in pollutant identification and analysis tasks are improved, and the portable water quality detection instrument is suitable for actual scenes such as intelligent water quality monitoring.

A water quality analysis system is calibrated without using any organic fluorescence material such as phenanthrene. The water quality analysis system analyzes a component to be measured contained in a liquid sample by a fluorescence spectroscopy, and that comprises a light irradiation section that irradiates the liquid sample with a light having an excitation wavelength of the component to be measured, a light detection section that detects a fluorescence of the component to be measured emitted from the liquid sample, a calculation unit that calculates a concentration of the component to be measured by using a fluorescence intensity obtained by the light detection section, and a solid fluorescence reference member that is arranged on an optical path between the light irradiation section and the light detection section and that emits the fluorescence by the light from the light irradiation section at a time of calibration.

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.

The invention discloses an iron ore composition detection method and system based on machine learning, and relates to the technical field of data processing.The method comprises the steps that iron ore feature information of target iron ore to be detected is collected, and a plurality of iron ore samples are collected; performing drying and grinding parameter optimization according to the iron ore characteristic information, drying and grinding the plurality of iron ore samples, and collecting the particle size and mass in each drying and grinding process to obtain a plurality of particle size sequence sets and a plurality of mass sequences; preparing a plurality of detection samples, and performing sample quality analysis according to the optimized drying and grinding parameters, the plurality of particle size sequence sets and the plurality of quality sequences to obtain a plurality of sample quality coefficients; and carrying out X-ray fluorescence spectrum detection on the plurality of detection samples to obtain a plurality of spectrum detection results, and carrying out component identification on the plurality of spectrum detection results according to the plurality of sample mass coefficients to obtain an iron ore component detection result. The technical problem of poor iron ore component detection accuracy in the prior art is solved.

The invention belongs to the field of soil dissolved organic matter analysis, and provides a multispectral-based DOM detection and reclamation influence evaluation method, which comprises the following steps: step 1, collecting dry farmland soil samples of different reclamation years, and obtaining soil column samples of a plough layer, a plow pan and subsoil; 2, extracting, centrifuging and filtering the soil sample to obtain a DOM solution; 3, detecting the DOM solution by adopting an ultraviolet-visible absorption spectrum; step 4, adopting a three-dimensional fluorescence spectrum and combining parallel factor analysis to obtain fluorescence components and source characteristics of the DOM solution; step 5, analyzing molecular composition and characteristic parameters of the DOM solution by adopting solid-phase extraction in combination with Fourier transform ion cyclotron resonance mass spectrometry; and step 6, based on the detection data in the steps 3-5, evaluating the influence of reclamation years on the composition, structure and degradation characteristics of the DOM. According to the method, multi-dimensional detection of soil DOM is realized through a multi-spectrum and mass spectrum combined technology, and DOM is comprehensively analyzed from a macrostructure to molecular composition.

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 application belongs to the field of agricultural technology, and discloses a method and system for dynamically evaluating the efficacy of herbicides. The efficacy is evaluated by two methods, namely, the colorimetric method and the plant fluorescence spectroscopy method. The weights of the two evaluation results are dynamically adjusted according to environmental parameters, and the final efficacy evaluation result is obtained by comprehensively combining the two evaluation results according to the weights, which can effectively overcome environmental interference and improve the accuracy and reliability of herbicide efficacy evaluation.

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 photonic crystal fluorescence enhanced printing synthesis DNA chip cleaning effect verification method, which comprises: S1, preparing a photonic crystal microchip, and forming a hydrophobic substrate and a hydrophilic detection area; s2, building a chip test platform, collecting a reaction cleaning liquid to-be-tested sample within a specific time, and dropwise adding the to-be-tested sample to the surface of the photonic crystal microchip; s3, heating the photonic crystal microchip, and enriching the to-be-detected substance in the hydrophilic detection area after the sample solution is dried; s4, detecting the fluorescence spectrum signal emitted by the to-be-detected object through fluorescence spectrometry so as to realize detection of the to-be-detected object; and S5, judging the cleaning effect of the chip according to the change of the fluorescence intensity. According to the verification method, the chip cleaning effect can be judged according to the fluorescence intensity change, the method is also suitable for trace detection under the extremely low concentration condition, the sensitivity higher than that of a common substrate such as glass is achieved, the detection limit is reduced, and more accurate analysis under the low concentration condition is achieved.

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.

The invention provides a method for detecting the grafting rate of anion exchange resin, which is characterized by comprising the following steps: tabletting treatment: applying first pressure to a resin sample containing anion exchange resin, the pressure value of the first pressure being 15-45MPa, and thus preparing a tabletting sample; and grafting rate detection: carrying out X-ray fluorescence spectrum test on the tabletting sample, determining the content of characteristic elements in the tabletting sample, and calculating the grafting rate of the anion exchange resin based on the content of the characteristic elements. The characteristic elements are selected from at least one of elements contained in the anion exchange resin and elements introduced into the anion exchange resin after the anion exchange resin is pretreated. According to the scheme, on the basis of XRF detection, a certain pressure is applied to the resin sample before detection, the resin sample is tableted, and the obtained tableted sample is used for XRF detection, so that the accuracy of anion exchange resin grafting rate detection is improved to a great extent.

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 provides a precious metal analyzer coating detection method and system based on an X fluorescence spectrum. The method comprises the following steps: on the basis of curvature data of each curved surface detection point in three-dimensional shape space data, adjusting a cooperative pose of an X-ray source and a dual-laser positioning device so as to control an X-ray beam to vertically enter each curved surface detection point; when the X-ray beam is vertically incident to the curved surface detection point, the precious metal sample is excited to generate an X fluorescence spectrum signal; according to the curvature data, correcting geometric attenuation factors in the X fluorescence spectrum intensity attenuation model by using a preset curved surface distance correction algorithm; and extracting the characteristic peak intensity value of the noble metal element, inputting the characteristic peak intensity value of the noble metal element into the fluorescence spectrum intensity attenuation model after geometric attenuation factor correction, and analyzing and outputting the thickness value of the noble metal coating. According to the technical scheme provided by the invention, high-precision and lossless online detection on the thickness of the precious metal coating on the complex curved surface is realized through a dynamic cooperative positioning and curved surface correction algorithm.

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 present invention discloses a pollution source tracing method based on three-dimensional fluorescence spectroscopy, which relates to the field of water quality monitoring technology. By collecting water samples from specific upstream pollution discharge units as pollution sources, configuring mixed water samples of water samples from different pollution sources mixed in different volumes or proportions, establishing a pollution source database suitable for parallel factor analysis, establishing a good linear model between the pollution source and the three-dimensional fluorescence spectrum characteristic value, and proposing a shortest path algorithm to quantitatively solve the volume or proportion of the pollution source in the monitored water sample, a pollution source tracing method is performed to trace the pollution source back to the specific pollution discharge unit. The present invention improves the application scope of parallel factor analysis by establishing a three-dimensional fluorescence spectrum database of sewage discharged from mixed upstream pollution sources, so that the three-dimensional fluorescence spectra of sewage from different industrial systems can be effectively parallel factor analyzed together. Compared with the parallel factor analysis-Tucker congruence coefficient method, the pollution source can be traced to a more specific level.

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.

1. Name of the designed product: Scientific camera (GLORIA 4.2 Plus). 2. Use of the designed product: The designed product is used for microimaging, for capturing biophoton correlation fluorescence spectroscopy, for direct imaging in high-energy physics, for recording astronomical phenomena such as solar physics, orbit tracking, etc. in experiments in cell biology and electrophysiology. 3. Design points of the designed product: in shape. 4. Picture or photograph best indicating the design points: perspective view.

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.

The invention discloses a high-resolution cross-scale X-ray fluorescence spectrum high-flux characterization device and method. The device comprises a mu-XRF light source (an X-ray tube and a capillary X-ray lens), a plurality of SDD detectors, a sample box and a two-dimensional mobile platform which are sequentially arranged from top to bottom, x-rays emitted by the X-ray tube are restrained by the capillary X-ray lens into focuses with the diameter of 5 microns to vertically irradiate a sample, the whole mu-XRF light source adopts a fixed support structure capable of moving up and down, and cross-scale adjustment of beam spots in the range of 5 microns to 1 mm on the surface of the sample is realized; the plurality of SDD detectors are arranged at the periphery of the capillary X-ray lens in a surrounding manner at a set inclination angle, and synchronously collect spectral information of X-ray fluorescence; a sample box is placed on the two-dimensional moving platform, and the sample box can contain plane samples of different sizes. According to the invention, a high-throughput XRF device structure is independently developed, and rapid and accurate cross-scale X-ray fluorescence spectrum high-throughput quantitative characterization can be realized.

4-methyl-1, 2, 3-thiadiazole-5-formic acid (HT) is used as a ligand and reacts with lanthanum nitrate hexahydrate to synthesize the thiadiazole lanthanum complex [LaT3. (H2O) 2] n, the structure of the complex is characterized through single crystal-X-ray diffraction, infrared spectroscopy, elemental analysis, ultraviolet spectroscopy and thermogravimetric analysis, the fluorescence performance of the complex is measured, and the thiadiazole lanthanum complex is obtained. The interaction of the lanthanum complex with calf thymus DNA (CT-DNA) and human serum albumin (HSA) is researched through ultraviolet and fluorescence spectra. The coordination compound belongs to a triclinic crystal and a Pi space group. Research on the biological activity of the lanthanum complex shows that the lanthanum complex shows good biological activity, and can be beneficial to development of novel antibacterial drugs, help to promote research and development of anti-cancer drugs and enrich the content of medicinal chemistry and pharmacology. Different types of compounds are combined or have a synergistic effect, so that a novel medicine with unique performance and advantages is developed.

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.