78 results about "Ultraviolet fluorescence" patented technology

The invention discloses a display screen dead pixel fault prediction detection method and system. The method comprises the following steps: collecting a visible light image, a short wave infrared image, an ultraviolet fluorescence image, a driving current time sequence signal and surface temperature distribution data of a display screen; performing dynamic noise injection and cross-modal alignment on the data to generate a preprocessed multi-modal data set; inputting the preprocessed multi-modal data set into a space-time fusion network, extracting space-time correlation characteristics in a dead pixel diffusion process through the space-time fusion network, and generating a pixel-level dead pixel mask of a current frame and a diffusion probability thermodynamic diagram of a future time period based on the space-time correlation characteristics; and according to the dead pixel mask and the diffusion probability thermodynamic diagram, dynamically adjusting detection parameters to adapt to target equipment, and outputting a probabilistic diagnosis result of dead pixel causes in combination with physical relevance of multi-modal data.

The invention belongs to the field of food detection, and discloses a pork tenderloin freshness multi-modal fusion detection method based on deep learning, which comprises the following steps: making a sample of a pork tenderloin freshness classification model, collecting HSI data, ultraviolet fluorescence image data, electronic nose data and LF-NMR data in the pork tenderloin storage process, and preprocessing the data; respectively designing feature extraction modules for the ultraviolet fluorescence image data and the HSI data; designing a data enhancement module based on a variational auto-encoder to enhance the sample freshness boundary recognition capability of each category; designing an improved dung beetle optimization algorithm to enhance the hyper-parameter optimization ability of the model; a UV-CNN module, an HSI-CNN module, an AAVAE module and an EDBO optimization algorithm are introduced into a BiLSTM network structure, and a CNN-AAVAE-EDBO-BiLSTM classification model of the freshness of the pork tenderloin is constructed; and testing and evaluating the accuracy of the pig tenderloin classification model.

The invention discloses a non-contact on-water oil film online monitoring system and device, and particularly relates to the technical field of on-water oil film monitoring. The system comprises an oil leakage detection sensor used for detecting oil film leakage, an alarm and monitoring module used for detecting whether an oil film reaches a rated threshold value or not and giving an alarm, a power supply used for power transmission, and a total server used for sorting and transmitting overall data. According to the invention, impurities on the water surface can be effectively isolated through the anti-interference mechanism 2 mounted on the ultraviolet fluorescence detection sensor, so that the situation that the accuracy of detection data is reduced due to the fact that the detection data is influenced by impurities on the water surface in the prior art is avoided; moreover, the accuracy of detection data is further improved, and the detection effect of the detector is prevented from being blocked due to the influence of other objects, so that the use of a user is better facilitated.

The invention relates to the technical field of preparation of anti-counterfeiting films, and particularly discloses an ultraviolet fluorescent anti-counterfeiting film based on multi-layer optical variability and a preparation method of the ultraviolet fluorescent anti-counterfeiting film. The ultraviolet fluorescent anti-counterfeiting film based on multilayer optical variability comprises a film substrate layer, a first optical variability layer and a second optical variability layer, wherein the first optical variable layer and the second optical variable layer are located on the two sides of the thin film base material layer respectively; the first optical variable layer and the second optical variable layer respectively comprise rhodamine B, fluorescein sodium and europium oxide. According to the ultraviolet fluorescent anti-counterfeiting film, the first light-variable layer and the second light-variable layer which contain light-variable materials such as rhodamine B, fluorescein sodium and europium oxide are arranged on the two sides of the film base material layer, so that the prepared multi-layer light-variable ultraviolet fluorescent anti-counterfeiting film has relatively short ultraviolet radiation color change reaction time; wide application prospects are realized.

The invention relates to a method for preparing a multi-anti-counterfeiting patterned photonic crystal structure color-forming fabric by a screen printing method. The method comprises the following steps: S1, preparing a high-mass fraction nano-microsphere color paste and an ultraviolet fluorescent printing color paste for structural coloring; S2, applying a screen printing method to scrape the ultraviolet fluorescent printing color paste on the surface of a hydrophobic fabric to prepare a first ultraviolet fluorescent anti-counterfeiting pattern with anti-counterfeiting information; S3, scraping the slurry on the surface of the hydrophobic fabric with the first ultraviolet fluorescent anti-counterfeiting pattern obtained in S2 by a screen printing method to prepare a hydrophilic transparent pattern base layer and completely cover the first ultraviolet fluorescent anti-counterfeiting pattern; S4, scraping the high-mass fraction nano-microsphere color paste on the surface of the hydrophilic transparent pattern base layer obtained in S3 to prepare a second photonic crystal anti-counterfeiting pattern; S5, heating the fabric on which the nano-microsphere color paste is scraped obtained in S4 to obtain the multi-anti-counterfeiting patterned photonic crystal structure color-forming fabric.

The invention relates to a radiation contamination simulation detection equipment control method based on an ultraviolet fluorescence signal, which is applied to radiation contamination simulation detection equipment, and the equipment comprises a detection probe. The method comprises the steps that a fluorescence intensity original signal and an ambient light interference signal of a target area are collected, the distance between a detection probe and a target surface is obtained, a fluorescence simulation agent is sprayed on the target area and irradiated by an ultraviolet LED lamp, and the simulation agent is used for emitting fluorescence with the wavelength larger than 450 nm under excitation of ultraviolet light; based on the distance and the ambient light interference signal, performing coupling compensation on the fluorescence intensity original signal; and calculating a radiation simulation value according to the calibration fluorescence intensity signal, and outputting information such as the radiation simulation value, the safety level and the component type. According to the method, through non-radiation simulation agent replacement, signal calibration and multi-dimensional analysis technical means, the safety of radiation detection training is improved, the health threat of a real radioactive source to trainees is eliminated, and the accuracy and the information amount of a detection result are remarkably improved.

The invention relates to the technical field of image detection, in particular to a copper bar conducting layer welding defect detection method based on machine vision, which comprises the following steps: constructing a multispectral imaging mechanism to carry out image acquisition on a to-be-detected area; automatically switching the current light source combination according to the image acquisition scene and the real-time image quality to obtain a multispectral image; processing the multispectral image, and identifying oxide layer boundary and thickness distribution; separating the oxide layer, the copper substrate and the suspected defect area by combining the channel brightness ratio between the light sources, and performing global enhancement on each area to obtain a global display enhanced image; the oxide layer texture in the global display enhanced image is eliminated by using an oxide layer texture elimination model, and a clear substrate image is recovered; extracting multi-scale features of a suspected defect area in the clear base material image, screening out key defects through a defect identification model, and performing local enhancement; and classifying key defects by combining green light morphological characteristics, infrared temperature characteristics and ultraviolet fluorescence characteristics.

Systems and methods are provided for imaging drill cuttings, which employ a UV source including a UV LED, which is configured to illuminate a sample volume with UV radiation that interacts with oil-bearing cuttings to cause fluorescence emission. A camera system is configured to capture at least one image of the cuttings based on fluorescence emission. In another aspect, methods are provided for characterizing oil content in drill cuttings that involve capturing at least one WE image of the cuttings illuminated by white light, capturing at least one UV image of the cuttings based on fluorescence emission from UV radiation, processing the at least one WE image to determine a first pixel count for all cuttings, processing the at least one UV image to determine a second pixel count for oil-bearing cuttings, and determining a parameter representing oil content of the cuttings based on the first and second pixel counts.

The invention relates to a consumable-free air allergen detection device and method based on fusion of ultraviolet fluorescence and scattered light, and the device comprises an air path system, an optical detection module, a self-cleaning electrode and an auxiliary module; the gas path system comprises a spiral gas path; the optical detection module comprises an ultraviolet fluorescence unit and a dual-wavelength scattering unit; the ultraviolet fluorescence unit comprises an ultraviolet LED (Light Emitting Diode) and a 340nm band-pass optical filter; the dual-wavelength scattering unit comprises a 650nm laser, a 850nm VCSEL (Vertical Cavity Surface Emitting Laser) and a scattering detector; the auxiliary module comprises a temperature and humidity sensor; the spiral gas circuit is located on a center shaft of the device. An inclination angle of 8 degrees is formed between the ultraviolet LED and the central axis of the spiral gas path; the 340nm band-pass optical filter is positioned right opposite to the ultraviolet LED and is coaxial with the ultraviolet LED; a 650nm laser is mounted in a 15-degree direction in front of the spiral gas path; the 850nm VCSE is mounted in the 90-degree direction of the side direction of the spiral gas path; the scattering detector integrates a forward 15-degree channel and a lateral 90-degree channel. According to the invention, small-size, consumable-free and high-precision real-time detection of protein and allergen in air can be realized.

The invention discloses a power system equipment operation risk intelligent identification and early warning system. The system comprises an environmental parameter acquisition module, a passive ultraviolet fluorescence detection module, an active ultraviolet laser excitation module, a background fluorescence analysis and dynamic threshold calculation module, an abnormal signal confirmation module, an intelligent determination module and a closed loop verification and alarm module. Environment characteristic indexes are calculated by monitoring temperature, humidity and air pressure in real time; collecting and analyzing a natural ultraviolet fluorescence signal, actively emitting ultraviolet laser to excite environmental fluorescence response, and adaptively calculating a dynamic anomaly judgment threshold value; abnormal signals are accurately confirmed by utilizing multi-dimensional feature combination and feature space analysis, and corona discharge and line discharge are distinguished through intelligent judgment; and finally, carrying out automatic secondary verification positioning on the visible light image, and automatically generating a discharge early warning signal. The system has the characteristics of high sensitivity, strong interference resistance and high intelligent degree, and the discharge detection reliability is effectively improved.

This invention discloses a method for detecting polycyclic aromatic hydrocarbons (PAHs) based on ultraviolet fluorescence and absorption spectroscopy, comprising: Step 1, acquiring the ultraviolet absorption spectrum and the fluorescence emission spectrum of a water sample under ultraviolet light excitation; Step 2, analyzing the corresponding CDOM fluorescence spectrum using the ultraviolet absorption spectrum obtained in Step 1; Step 3, subtracting the CDOM fluorescence spectrum obtained in Step 2 from the fluorescence emission spectrum obtained in Step 1 to obtain a mixed fluorescence spectrum containing multiple PAHs; Step 4, performing multivariate fitting on the mixed fluorescence spectrum obtained in Step 3 to obtain the type and concentration of each PAH in the water sample. This invention also provides a PAH detection device. The method provided by this invention is simple to operate and can directly detect raw water samples, thereby obtaining more accurate PAH detection results.

The invention discloses a preparation method of an anti-ultraviolet light absorption coating based on photoresist and nanocarbon, which comprises the following steps: using a nanocarbon material and photoresist as raw materials; the light absorption coating with low fluorescent background, low reflectivity and deep ultraviolet light aging resistance under the deep ultraviolet condition is obtained through the steps of preparing mixed turbid liquid, coating, pre-baking, removing photoresist through optical etching, removing residual photoresist, post-baking to form more holes and the like. When the low-background light absorption coating is applied to a deep ultraviolet fluorescence detector, compared with a traditional coating material of an organic adhesive and nanocarbon, the low-background light absorption coating provided by the invention has the advantages that the baseline of the detector is reduced by 67%, the baseline drift is reduced by 75%, and the baseline change degree under deep ultraviolet long-term aging is lower than 0.5%; the material shows excellent deep ultraviolet light aging resistance and extremely low fluorescence background, and can be applied to space telescopes, night vision devices, microscopes and various fluorescence detectors / sensors based on the characteristic of low reflectivity so as to obtain lower background and noise.

The invention relates to an LED-based replacement radiation means (100, 200) for replacing conventional radiation means, such as UV fluorescent lamps and medium-pressure lamps, comprising a plurality of LEDs (102, 202) arranged on a circuit board (101, 201), at least one power supply unit (103, 203) arranged on the circuit board (101, 201) for supplying the plurality of LEDs (102, 202) with a supply voltage with sufficient power that is suitable for the LEDs (102, 202). According to the invention, the circuit board (101, 201) a) has exposed LEDs (102, 202), b) is connected via an electrical cable (104, 204) to a plug (105, 205) which can be plugged with its electrical contacts into a lamp socket (122) for a conventional lamp, and c) has fastening means with which the circuit board (101, 201) can be fastened in a clamp socket (111) of a protective glass holder or on a device for receiving a UV fluorescent lamp.

This invention provides a hydrocarbon gas separation system, comprising a double-layered tube assembly and a negative pressure system. The double-layered tube assembly includes a medium delivery inner tube, a multi-layered membrane assembly, an annular interlayer gap, and a pressure-bearing protection section outer tube. The double-layered tube assembly is sealed at both ends. The multi-layered membrane assembly includes a retention layer, an isolation layer, and a selectively permeable membrane layer. The medium delivery inner tube is nested inside the pressure-bearing protection section outer tube and encloses the multi-layered membrane assembly. The negative pressure system is connected to the double-layered tube assembly. After the mixed gas is processed by the multi-layered membrane assembly in the medium delivery inner tube, sulfur dioxide is retained. The hydrocarbon gas enters the annular interlayer gap for extraction, and the retained sulfur dioxide is released back into the gas. Finally, the gas enters a sulfur dioxide detection instrument and is detected using ultraviolet fluorescence, making the data more consistent with the actual value and providing a scientific basis for relevant decision-making.

This application discloses a high-transmittance ultraviolet fluorescence detection lens, relating to the field of optical lenses. It addresses the problems of insufficient transmittance, severe fluorescence signal attenuation, and poor image quality in existing ultraviolet fluorescence detection lenses. The lens is constructed by sequentially arranging an object surface protection window, a first lens, a second lens, a third lens, an aperture stop, a fourth lens, a fifth lens, and an image plane along the optical axis from the object side to the image side. The object surface protection window is made of calcium fluoride, and at least a portion of the first to fifth lenses are made of calcium fluoride and at least a portion of fused silica. Each lens surface is coated with an ultraviolet antireflection film. By combining calcium fluoride and fused silica to optimize ultraviolet transmittance, and using a multi-layer ultraviolet antireflection film to reduce surface reflection loss, the lens achieves an overall transmittance of over 88% in the 250nm-380nm band. This effectively reduces fluorescence signal attenuation, significantly improves image brightness and contrast, and achieves good aberration correction. The compact structure makes it suitable for mass production applications.

The utility model provides a biological reader. The biological reader comprises a shell, a display module, a microorganism indicator test tube, an image collector, an ultraviolet lamp, a fluorescence monitoring template and a main control board, the shell is divided into an upper shell and a lower shell, the display module is fixed on the upper shell through the display module fixing piece, the microbial indicator test tube is placed on the upper shell, and the image collector is used for recording an image of a microbial indicator in the microbial indicator test tube and transmitting the image to the main control board; the ultraviolet lamp and the fluorescence monitoring template are arranged on the second monitoring plate, the ultraviolet lamp is used for emitting ultraviolet rays generating a fluorescence effect with the microorganism indicator, and the fluorescence monitoring template is used for receiving fluorescence generated by the fluorescence effect and outputting microorganism concentration data corresponding to the fluorescence to the main control panel; and the main control board judges the sterilization condition based on the received image of the microorganism indicator and the microorganism concentration data.

The invention discloses a method for regulating and enhancing ultraviolet fluorescence of rare earth up-conversion nanocrystals through a local structure and a method for measuring the local structure, and belongs to the field of rare earth luminescent nanomaterials. According to the method, in the process of synthesizing the LiREF4: coated LiREF4 core-shell structure, the stoichiometric ratio of LiOH and NH4F in a core layer and / or the use amount of lithium trifluoroacetate in a shell layer are precisely regulated and controlled, and the localized crystal field environment around activated ions is changed, so that the selective regulation and control on the luminescence transition path of the activated ions are realized, and the emission intensity of multiphoton ultraviolet up-conversion luminescence is improved. According to the method, the high-order multi-photon up-conversion process of rare earth ions can be remarkably enhanced, meanwhile, low-order emission is inhibited, the luminescence selectivity of an up-conversion nano material is improved, emission light with the corresponding wavelength can be synthesized from the same matrix material according to the requirements of synthesizers, and the method can be suitable for various rare earth active ions and matrix materials and has a wide application prospect. The method has application potential in the fields of nano photonics and biomedicine.

The application discloses a SO2 detection device and concentration inversion method based on ultraviolet fluorescence spectrum and deep learning, and the SO2 detection device comprises a xenon lamp, a sample cell, a spectrum dispersion structure and an ultraviolet camera.

The invention relates to the technical field of oil leakage detection, and provides an oil-filled equipment intelligent detection method and system based on fluorescence reflection, and the method comprises the steps: obtaining a background image collected by each image collection unit when a fluorescence excitation unit is not started; acquiring a fluorescence image acquired by each image acquisition unit when the fluorescence excitation unit is started; determining a common difference image; determining a to-be-monitored area of the oil filling equipment according to the common differential image, controlling a pulse thermal excitation module to send a thermal excitation pulse to the to-be-monitored area, and controlling a set image acquisition unit to acquire fluorescence signal response characteristics of the to-be-monitored area; and the intelligent analysis module traces the leakage area according to the fluorescent signal response characteristics of the insulating oil and the leakage characteristic area. According to the invention, the technical problem of high false alarm rate in the existing insulating oil leakage detection technology based on the ultraviolet fluorescence characteristic of the insulating oil can be solved.

The invention discloses an ultraviolet-proof fluorescent fabric and a preparation method thereof, the ultraviolet-proof fluorescent fabric comprises the ultraviolet-proof fluorescent fabric, the main components of the ultraviolet-proof fluorescent fabric comprise a base cloth layer, a middle bonding layer and a surface coating layer, and the base cloth layer can be made of different materials according to actual requirements so as to adapt to wearing requirements in different seasons. According to the ultraviolet-proof fluorescent reflective fabric, the ultraviolet-proof function and the fluorescent reflective function are integrated through the surface layer composite coating, the titanium dioxide provides reliable ultraviolet shielding capacity, the efficient and lasting diffuse reflection fluorescent effect is achieved through combination of the aluminum powder and the directional arrangement agent, the visibility and safety of the fabric at night or in a low-light environment are remarkably improved, and the service life of the fabric is prolonged. The fabric can meet the requirements of multiple scenes such as outdoor protection, occupational safety and sports and leisure at the same time, practicability and warning performance are achieved, in addition, the material of the base cloth layer can be flexibly selected according to seasons and purposes, and the application field of the fabric is further widened.

The utility model relates to the technical field of cleanliness detection, in particular to a device for detecting cleanliness on line based on an ultraviolet fluorescence method. The device for online detection of the cleanliness based on the ultraviolet fluorescence method comprises a measurement module; the measurement module comprises a light path module and a calibration module; the calibration module comprises a stepping motor, a standard sample bracket and a position detection sensor; the stepping motor is connected with the standard sample bracket and drives the standard sample bracket to rotate, and the standard sample bracket comprises a plurality of cleanliness sample bracket units and channels arranged among the cleanliness sample bracket units; and the position detection sensor is arranged on the standard sample bracket. The light path module carries out detection by adopting an ultraviolet fluorescence method, has high sensitivity to common pollutants such as oil stains and organic impurities on the metal plate strip, can accurately detect trace pollutants, and improves the precision of cleanliness detection.

The utility model discloses a kind of efficient ultraviolet fluorescence collection imaging systems, including imaging lens sleeve, still including fluorescence signal detector, second ultraviolet lenticular lens, first ultraviolet lenticular lens and spherical mirror sequentially arranged, imaging lens sleeve two ends are light inlet end and light outlet end respectively, first ultraviolet lenticular lens is arranged at the light inlet end of imaging lens sleeve, second ultraviolet lenticular lens is arranged in imaging lens sleeve, the focal length of first ultraviolet lenticular lens between first ultraviolet lenticular lens and spherical mirror coincides with the curvature center of first ultraviolet lenticular lens.The utility model is combined by increasing spherical mirror and conventional imaging lens, increase the solid angle of fluorescence collection, thereby improve the collection efficiency of fluorescence;The length of imaging system is adjustable, can satisfy the use scene when the distance from fluorescence signal detector to imaging system is fixed.

A system and method for identifying material components of an implant tissue product includes an image capture device for acquiring image data of the implant tissue product and a processor for processing the image data with an artificial neural network that identifies and classifies materials of the implant tissue product from the image data. The image capture device can include an optical filter and an ultraviolet light source for ultraviolet fluorescent imaging of the implant tissue product. Using the captured image data, the artificial neural network can identify unwanted materials of the implant tissue product, such as fascia or flesh on the skin of a fish, for subsequent removal.

The application provides a fluorescence testing device and testing method for continuous detection of organic pollutants in soil. A hydraulic transmission device is used to push multiple connectable straight push probes into the soil. A built-in ultraviolet light source of a specific wavelength is used to induce the organic pollutants in the soil to generate fluorescence. A miniature camera is used to collect and record the fluorescence image. An automatic cleaning module is used to continuously clean the sapphire glass window in contact with the soil on the straight push probe, preventing test errors caused by organic pollutants staining the glass during continuous detection. Image analysis software can be used to analyze the concentration and distribution of organic pollutants during continuous detection. The device and method provided by the application achieve layered continuous detection of organic pollutants in soil, overcoming the high cost and long operation period of single-point measurement or profile measurement, reducing the test error caused by organic matter staining the sapphire glass window, and significantly improving the convenience and test accuracy of organic pollutant detection in soil.

The present invention discloses a high-precision UV-based detection method for textile key points, relating to the field of textile material technology. The method comprises the following steps: determining the UV wavelength, constructing a UV fluorescence spectral feature library, adjusting the UV light source, capturing images of the textile surface, preprocessing the captured UV fluorescence images, extracting key point features, identifying and classifying defects, accurately locating defective areas through image segmentation, and outputting detection results. This UV-based high-precision detection method for textile key points achieves deep fusion of multidimensional features and precise key point location by introducing a spectral texture joint distribution model and a saliency segmentation model. Supported by uniform UV light source illumination and combined with multidimensional saliency analysis, it significantly improves detection robustness and segmentation accuracy in complex backgrounds.

The invention relates to the technical field of excimer laser measurement, in particular to an ultraviolet excimer laser beam quality measuring device. The device comprises an excimer laser, a laser dispersion system which is arranged corresponding to a transmitting end of the excimer laser and divides a light path into two parts for transmission, a first measurement system which is matched with the laser dispersion system and is used for receiving a group of light paths, and a second measurement system which is arranged corresponding to the laser dispersion system and is used for receiving a second group of light paths. According to the technical scheme, two groups of light paths are arranged, pointing and position testing are separated, stray light in the light paths is avoided by using the wedge lens group, light is focused on the ultraviolet fluorescence conversion glass by using the first lens assembly and the second lens assembly, an ultraviolet light spot is changed into a light spot of a visible wave band, the light spot is imaged on a CCD (Charge Coupled Device) through the imaging lens of the camera, and the detection accuracy is improved. And finally carrying out data acquisition and processing on the light spots.

The present invention relates to a consumable-free air allergen detection device and method based on the fusion of ultraviolet fluorescence and scattered light. The device comprises an airway system, an optical detection module, a self-cleaning electrode, and an auxiliary module. The airway system comprises a spiral airway. The optical detection module comprises an ultraviolet fluorescence unit and a dual-wavelength scattering unit. The ultraviolet fluorescence unit comprises an ultraviolet LED and a 340nm bandpass filter. The dual-wavelength scattering unit comprises a 650nm laser, an 850nm VCSEL, and a scattering detector. The auxiliary module comprises a temperature and humidity sensor. The spiral airway is located at the central axis of the device. The ultraviolet LED is inclined at an 8° angle to the central axis of the spiral airway. The 340nm bandpass filter is located directly opposite the ultraviolet LED and coaxial with it. The 650nm laser is installed at a 15° forward angle on the spiral airway. The 850nm VCSEL is installed at a 90° lateral angle on the spiral airway. The scattering detector integrates a 15° forward channel and a 90° lateral channel. The present invention enables small-volume, consumable-free, and high-precision real-time detection of airborne proteins and allergens.

The present invention discloses a deep ultraviolet fluorescence emission tunable colloidal aluminum nitride quantum dot, a preparation method and an application thereof. The present invention uses aluminum halide or a mixture of aluminum halide and gallium halide as a reaction precursor of the colloidal aluminum nitride quantum dot, and a quaternary amine type cationic surfactant as a surfactant, and prepares, by means of ammonia reduction, a colloidal aluminum nitride quantum dot with uniform dispersion, uniform particles, deep ultraviolet fluorescence emission and tunable fluorescence emission. The present invention successfully prepares a colloidal aluminum nitride quantum dot with an average particle size of about 3.7 nm, which exhibits high quantum yield fluorescence emission in the deep ultraviolet band; at the same time, the excellent performance of tunable fluorescence emission is realized by changing the band gap of the quantum dot through co-doping. The synthetic method of the colloidal aluminum nitride quantum dot realized by the present invention is different from all the synthetic methods of aluminum nitride crystals reported so far. It is expected to reduce the preparation cost and difficulty of aluminum nitride crystals while improving the application of the colloidal aluminum nitride quantum dot in multiple fields.

This invention relates to the field of jadeite testing technology, and more particularly to a method for determining the commercial attributes of jadeite based on ultraviolet fluorescence microstructure. This invention, for the first time, combines microscopic observation with ultraviolet excitation for a more accurate determination of the commercial attributes of jadeite. New jadeite (Grade A) typically does not emit ultraviolet fluorescence; while both natural Grade A old jadeite and treated jadeite exhibit ultraviolet fluorescence, natural Grade A old jadeite has a clearly defined ultraviolet fluorescence morphology corresponding to a dotted, reticulated, ternary composite structure; whereas treated jadeite, due to strong acid and alkali corrosion, exhibits a blurred, vein-like network pattern and clustered, patchy ultraviolet fluorescence morphology. This addresses the current problem in commercial inspection where the presence of blue-white ultraviolet fluorescence is used to misclassify wax-containing natural Grade A old jadeite as Grade B or B+C jadeite. This provides a new direction and approach for more accurate determination of the commercial attributes of jadeite and the development of related commercial inspection equipment.