287 results about "Fluorescence spectra" 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 belongs to the technical field of environmental monitoring, and particularly relates to a super-resolution fluorescence imaging analysis method based on hypersensitive fluorescent quantum dots. The quantum dots have high water solubility and stability, and can emit narrow-bandwidth fluorescence due to unique optical properties of the quantum dots. According to the invention, a quantum dot luminescent material is adopted to construct an ultra-high resolution microscope system which can be used for observing composite behaviors between micropollutants and quantum dots on a microscopic scale, and a three-dimensional fluorescence microspectrometer and a computer vision algorithm are integrated; the whole reaction process is deduced according to the evolution of the three-dimensional fluorescence spectrum between the micro-pollutants and the quantum dots in different space (concentration), time (reaction process) and chemical dimensions, and a multi-dimensional fingerprint spectrum is formed according to the whole reaction process and is used for identifying and tracing the micro-pollutants. The method has the advantages of being high in detection speed, high in fingerprint performance and less in interference of background factors.

The invention discloses a water sample pollution traceability analysis method fusing absorption-three-dimensional fluorescence spectrum characteristics, and relates to the field of water sample spectrum analysis traceability. According to the method, high-precision prediction of pollutant indexes is realized by utilizing multi-dimensional information of a three-dimensional fluorescence spectrum and an absorption spectrum of a water sample, qualitative and quantitative traceability of main pollution components and potential emission sources in a water body is carried out based on correlation analysis of the prediction indexes, a pollutant feature library and an emission source database, and the method has the advantages of high accuracy and high accuracy. The integration of water quality monitoring and pollution source management is realized, and a systematic and real-time technical means is provided for pollution analysis of a complex water body.

The invention discloses a three-dimensional fluorescence dynamic monitoring and automatic processing system for water quality. The system comprises a water sample collection module, a three-dimensional fluorescence spectrum detection module, a pollution fingerprint database, a spectral analysis unit, a diffusion path simulation module based on a distributed sensor network and an automatic control execution module. The diffusion path simulation module is used for acquiring spatio-temporal data through a water quality spectrum sensor, a hydrological sensor and a meteorological sensor, and dynamically predicting a pollutant migration track by combining a water body flow field model constructed by a finite volume method and a first-order dynamic fluorescence attenuation model; the automatic control execution module is based on the pollution recognition result and track prediction, emergency operations such as gate opening and closing and medicament adding are linked through a fuzzy logic algorithm, and full-process automation from monitoring to disposal is achieved. The system completes pollution identification within 10 minutes through a spectral angle mapping algorithm, and the defects that a traditional method lags in response and lacks dynamic prediction and automatic disposal are overcome.

The application discloses a multi-marked endoscopic imaging lens for digestive tract, and belongs to the field of biomedical microscopic endoscopic imaging. The endoscopic imaging lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens; the first lens focuses laser; the second lens is matched with the first lens to limit a light beam in an effective light aperture of the lens; the third lens corrects chromatic aberration; the fourth lens and the fifth lens are combined to correct aberration; the sixth lens adopts an aspheric lens to correct spherical aberration caused in a collimating and focusing system; and the seventh lens is matched with the sixth lens to correct chromatic aberration. The working spectral range of the microscopic objective lens group is 488-860 nm, the effective light aperture is less than 1.8 mm, the mechanical outer diameter is not greater than 2.6 mm, the numerical aperture at the object side or the tissue is 0.55, the imaging field of view is 450 microns, the magnification is 2.14 times, and the working distance is 84 microns. The effect of matching excitation and fluorescence spectrum of a clinically available fluorescence contrast agent is realized.

An information processing device according to an aspect of the present disclosure includes an acquisition unit that acquires a fluorescence spectrum derived from a biological sample and position information of the biological sample from a sample including the biological sample, an identification unit (133b) that identifies, from the fluorescence spectrum, information regarding a plurality of different biomarkers of the biological sample associated with the position information of the biological sample, and a correlation analysis unit (133d) that performs matrix decomposition processing corresponding to a combination of the plurality of biomarkers on the information regarding the plurality of biomarkers and outputs a correlation of the information regarding the plurality of biomarkers.

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 relates to the technical field of color detection, in particular to a color difference calculation optimization method and system for archaized linen viscose reactive dyeing. Comprising the following steps: monitoring a fabric motion state in real time, calculating a motion speed and displacement, and determining a spectrum acquisition opportunity and a position compensation parameter; illuminating the surface of the to-be-detected fabric at an acquisition position through a polarized light source, and performing polarized spectrum data acquisition in the normal direction of the surface of the fabric to obtain reflection spectrum information; exciting the surface of the to-be-detected fabric by adopting an ultraviolet light source, collecting fluorescence spectrum data, and identifying different fiber areas; calculating fiber density distribution in the fiber area, and constructing a layered weight system; calculating chromatic aberration of the fiber area based on the reflection spectrum information, extracting chromatic aberration characteristics, and measuring and calculating an antique degree quantification result; setting a color difference threshold value standard according to an antique degree quantification result, and adjusting a color difference threshold value according to an evolution trend; and based on the layered weight system and the chromatic aberration threshold, performing weighted calculation on the chromatic aberration value of the fiber region to obtain a comprehensive chromatic aberration evaluation result.

The invention relates to the technical field of carbon-nitrogen ratio detection, in particular to a sweet potato carbon-nitrogen ratio detection method and system based on a multispectrum and fluorescence sensor, and the method specifically comprises the following steps: constructing a weight coefficient based on the correlation between the leaf carbon-nitrogen ratio in each growth stage and the reflectivity of each wavelength, and combining the multispectrum and fluorescence spectrum of each leaf to obtain a weight coefficient; acquiring a coupling characteristic value; correcting the coupling characteristic value according to the soil conductivity; analyzing the multi-spectral characteristics and the fluorescence spectrum characteristics of the sweet potatoes, and constructing a multi-spectral index and a fluorescence spectrum index; predicting the carbon-nitrogen ratio of the to-be-detected sweet potato leaf based on the features of the leaf, and calculating the carbon-nitrogen ratio of the to-be-detected sweet potato leaf by combining the difference between the feature vectors of the to-be-detected sweet potato leaf and the leaves in all growth stages and introducing the carbon-nitrogen ratio of the previous growth stage; certain continuity and inertia of the change of the carbon-nitrogen ratio are considered, so that the method adapts to the change of the sweet potatoes in different growth stages, and the detection precision of the carbon-nitrogen ratio is improved.

The invention belongs to the technical field of battery health state monitoring, and relates to an unmanned aerial vehicle battery health state on-line prediction method comprising the following steps: exciting a quantum dot tracer agent in a battery monitoring area to obtain an initial fluorescence spectrum, and carrying out real-time comparison to identify fluorescence quenching caused by gas production and generate a preliminary aging signal; further analyzing the spectrum drift characteristics so as to analyze lithium aging and pure gas production; triggering ultrasonic detection based on a diagnosis result, and extracting time-frequency characteristics of acoustic echoes to construct quantitative acoustic fingerprints; and finally, through cross validation of optical and acoustic information, generating a comprehensive health status report containing a risk level and an aging type. According to the method, multi-dimensional on-line diagnosis and early warning on the early aging stage of the battery are realized, and the problems of hysteresis quality, difficulty in positioning and inaccurate risk assessment caused by dependence on macroscopic electrical parameters in a traditional method are solved.

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.

The invention provides an automatic sorting and rechecking method and system for a whole pack of instant lottery tickets based on super-resolution vision, and relates to the technical field of machine vision. Details of motion blur loss are recovered through dynamic inter-frame alignment and multi-scale feature fusion, and a high-resolution image is generated. Static visual features are extracted, lottery ticket scrape-open layer film fluorescence spectrum response features of the first page of the lottery ticket bag are obtained, film material distribution characteristics are obtained through spectrum decomposition and fused into multi-modal features, the multi-modal features are matched with a standard library, and a preliminary sorting result is obtained. In the sorting process, the grabbing time sequence consistency of the mechanical arm is monitored, re-checking is started and abnormal time period characteristics are backtracked if the result reaches the threshold critical value or the time sequence is abnormal, and a re-checking report is formed if a plurality of judgment results are not consistent, so that the accuracy and reliability of automatic sorting of the whole lottery ticket can be guaranteed.

The invention discloses a full-automatic high-flux space-time resolution fluorescence spectrum imaging system and method, and relates to the field of fluorescence signal spectrum. Comprising a working table, a sample table, an objective lens, a mechanical arm sample injection module used for grabbing the sample table loaded with a sample in advance and placing the sample table on the working table, and a picosecond pulse laser output module used for outputting a laser beam to the objective lens, the fluorescence signal detection module and the control module are used for simultaneously collecting spectral data and dynamic data of a fluorescence signal generated after the sample is focused by the laser beam; the sample table and the objective lens are sequentially arranged on the workbench at intervals in the vertical direction from top to bottom; the mechanical arm sampling module, the picosecond pulse laser output module and the fluorescence signal detection module are respectively in communication connection with the control module. According to the invention, simultaneous acquisition of spectrum data and dynamic data of fluorescence signals can be fully automatically realized.

The utility model relates to a water quality detection system, which comprises: a first light source, which is used for irradiating a water sample to be detected in a water body sample pool with light with a wavelength range covering ultraviolet and visible light regions; the second light source is used for exciting the to-be-detected water sample to generate emitted light; the spectrum detector is used for receiving a fluorescence spectrum of the emitted light and receiving an ultraviolet visible spectrum of the transmitted light related to the first light source; the data processing equipment is used for controlling the first light source and the second light source to emit light at different time slices and calculating the water quality index of the water sample to be detected based on the fluorescence spectrum and the ultraviolet visible spectrum. Therefore, different light sources can be used for irradiating a water sample to be detected at different time slices through the water quality detection system, the collected spectrums are free from interference, and meanwhile, each spectrum can focus on different states of material components, so that the components of pollutants in water are detected as much as possible, and the detection accuracy of the water quality detection system is improved. And the precision of subsequent water quality index analysis is improved.

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 relates to the technical field of optical microscopic imaging, and discloses a fluorescence imaging system and method. The system comprises a multi-color light source module used for emitting exciting light with different wavelengths, and the exciting light with different wavelengths is used for marking different components in a sample to be detected; the apochromatic illumination module is connected with the multi-color light source module and used for carrying out light beam processing on the exciting light based on a preset illumination mode to generate a target illumination light beam; the multi-channel imaging module is connected with the apochromatic illumination module and is used for collecting fluorescence signals emitted after the target illumination light beam irradiates the to-be-detected sample and separating the fluorescence signals according to the fluorescence spectrum of each component to obtain a plurality of imaging channels; and the image processing module is connected with the multi-channel imaging module and is used for receiving the imaging data from the plurality of imaging channels and fusing the imaging data to obtain a target fluorescence image. By implementing the technical scheme provided by the invention, efficient synchronous imaging of different components in a multicolor fluorescence labeled sample is realized.

The invention relates to the field of high-pressure pressure distribution calibration and imaging, in particular to a high-pressure diamond anvil cell internal pressure calibration / imaging system and method based on wide-field optical detection magnetic resonance. The invention discloses a high-pressure diamond anvil cell internal pressure calibration / imaging system based on wide-field optical detection magnetic resonance. The system comprises a fluorescence excitation and collection unit which comprises a wide-field optical detection magnetic resonance pressure distribution imaging light path based on nano-diamond NV color center fluorescence and a pressure calibration light path based on a ruby microsphere fluorescence spectrum. Compared with the prior art, the technical effects of the invention are that a traditional single-point detection mode is broken through through a wide-field microscopic imaging method, submicron spatial resolution and 0.0045 GPa / Hz1 / 2 noise measurement sensitivity are realized, and a brand new stress field characterization means is provided for a high-pressure experiment.

The invention discloses an X-ray fluorescence spectrum detection method and system for bauxite, a medium and a product, and relates to the technical field of bauxite detection. According to the method, firstly, fluorescence spectrum data of a sample to be detected and mining area environment fingerprint data are obtained, and the initial concentration is determined through background noise stripping; then constructing a mineral phase interference network, calculating an interface radiation attenuation rate and a secondary fluorescence excitation probability based on mineral phase characteristics, and generating an interphase coupling interference matrix; constructing a stress field model according to environmental parameters, and correcting an interference matrix by using a lattice distortion coefficient; and inputting the symbiotic mineral phase combination into the environment adaptive interference model, and determining a nonlinear matrix effect deviation value. And finally, carrying out iterative compensation correction until the difference between adjacent correction values is smaller than a threshold value, and outputting accurate grade data of the target metal element. By implementing the technical scheme provided by the invention, the accuracy of X-ray fluorescence spectrum detection of bauxite can be improved.

The invention discloses an automatic detection method and system for the boundary dimension of a shield segment, and relates to the field of civil engineering, and the method comprises the steps: laying quantum dots on the surface of a to-be-detected shield segment, and exciting the quantum dots through ultraviolet laser to generate a fluorescence spectrum; the method comprises the following steps: receiving an optical signal penetrating through a medium gap in a to-be-detected shield segment through a single-pixel barrel detector to form a reflected light intensity sequence, and inputting the reflected light intensity sequence and a speckle pattern into a correlation reconstruction algorithm to generate a three-dimensional point cloud of a shielding area; and inputting the three-dimensional point cloud and the deformation compensation parameters into a deep learning network, generating a deviation thermodynamic diagram of the boundary dimension of the to-be-detected shield segment, automatically marking an area exceeding a tolerance threshold value based on the deviation thermodynamic diagram, and generating a detection result of the boundary dimension of the to-be-detected shield segment. According to the method, the internal medium gap is reconstructed through the single-pixel barrel detector and the basis tracking noise reduction algorithm, in a bolt hole oil stain shielding scene, compared with a traditional method, the reconstruction porosity error is reduced, and online analysis of the full-surface size error is achieved.

The invention belongs to the technical field of fluorescence spectrum collection, and particularly relates to a quasi-three-dimensional fluorescence spectrum collection method and spectrograph based on a software phase locking technology, and the method comprises the following steps: respectively modulating coprime modulation frequencies of a plurality of laser light sources with different wavelengths, and synchronously exciting the laser light sources to the surface of a sample; a fluorescence signal generated on the surface of the sample is received and processed by a linear array CCD detector to obtain a multi-wavelength spectral signal simultaneously containing background light, scattered light and fluorescence components; inputting the multi-wavelength spectral signal into a software phase-locked amplification system, introducing a Costas ring to the software phase-locked amplification system for real-time tracking and correction, and generating a synchronous reference signal consistent with the laser modulation frequency; inputting the synchronous reference signal into a software lock-in amplifier, and extracting a plurality of pure fluorescence spectrum components excited by specific-frequency laser; and synthesizing the plurality of pure fluorescence spectrum components to finally form a quasi-three-dimensional fluorescence spectrum.

The invention relates to the field of water quality detection, in particular to a water quality sampling detection method and device applied to a small and micro wetland unit. The method comprises the following steps: determining a turbidity coefficient according to scattered light intensity of a target water sample under different wavelengths, absorbance of a target interval in an ultraviolet absorption spectrum and fluorescence intensity of a target area in a fluorescence spectrum; determining a scattering equivalent absorption value of each wavelength according to the scattered light intensity of the target water sample under each wavelength, the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the turbidity coefficient; determining a real ultraviolet absorption signal of each wavelength according to the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the scattering equivalent absorption value of the wavelength; correcting the fluorescence spectrum according to the turbidity coefficient and the scattering equivalent absorption value of each wavelength to obtain a corrected fluorescence spectrum; and detecting the water quality according to the corrected fluorescence spectrum and the real ultraviolet absorption signal of each wavelength. According to the invention, accurate water quality sampling detection can be provided.

The utility model discloses pocket type detection equipment for on-site detection of meat quality. The pocket type detection equipment comprises a sample placing area; an annular light source module including a light emitting module for emitting a plurality of detection light of different wavelengths; the condensing convex lens is used for condensing the detection light to the sample placing area; the detection module comprises a spectrum detection module and a camera module, the spectrum detection module is used for receiving a sample fluorescence spectrum from the sample placement area and generating a malondialdehyde detection result, the camera module comprises a camera and an image processing module, the camera is used for collecting a sample image of the sample placement area, and the image processing module is used for processing the sample image; the image processing module is used for receiving the sample image and generating RGB (Red, Green and Blue) three-primary-color data according to the sample image to generate a detection result of volatile basic nitrogen; and a display module electrically connected to the detection module. According to the device disclosed by the utility model, malonaldehyde and volatile basic nitrogen contained in livestock and poultry meat can be rapidly and nondestructively detected in real time.

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 present invention discloses a method for rapidly detecting the water content in a solvent based on the color change of CsPbBr3 perovskite nanocrystals. The method comprises: adding PbBr2 and CsBr as precursors to a good solvent for dissolution, then adding a ligand and mixing uniformly to obtain a precursor solution; adding a poor solvent to the precursor solution to obtain a CsPbBr3 and PAA composite colloid; dripping solvents of varying water contents and volumes into equal amounts of the CsPbBr3 and PAA composite colloids to obtain mixtures; measuring the fluorescence spectra of the mixtures after standing for the same period of time, obtaining the CIE coordinate colors corresponding to the fluorescence spectra, and obtaining a colorimetric chart; dripping a solvent to be tested into the CsPbBr3 and PAA composite colloid, measuring its fluorescence spectrum to obtain the corresponding CIE coordinate colors or obtaining its luminescent color under ultraviolet light, and comparing the color with the colorimetric chart to determine the water content of the solvent to be tested. The method can determine the water content of a solvent by visually observing the photoluminescent color of the perovskite colloid after the solvent has been added, thereby enabling rapid and convenient perovskite detection of the water content of the solvent.

The invention relates to a method for determining the amount of at least one printing bottom applied to at least one paper layer as a carrier material by means of X-ray fluorescence analysis, the method comprises the steps of: providing a plurality of reference samples by applying at least one printing bottoming material to at least one carrier material in respectively differently quantificationally defined amounts; recording at least one X-ray fluorescence spectrum of each of the reference samples with at least one X-ray fluorescence measurement head for the divalent cations to be detected respectively contained in the printing bottoming part; associating differently quantificationally defined amounts of the printed bottoming of the reference sample with the recorded X-ray fluorescence spectrum of the mentioned reference sample; and creating a calibration model for a relationship between the recorded X-ray fluorescence spectrum of the reference sample and the affiliated quantificationally defined amount of the printed bottoming; providing at least one sample to be measured by applying at least one layer consisting of at least one printing bottoming part to at least one carrier material; recording at least one X-ray fluorescence spectrum of the sample to be measured using at least one X-ray fluorescence measuring head; and determining a quantitative amount of the printed bottoming applied to the carrier material in the sample to be measured by comparing the X-ray fluorescence spectrum of the sample to be measured with a calibration model created from the reference sample.

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.

The application discloses a kind of XRF element quantitative analysis methods based on Transform-CNN, belongs to X fluorescence spectrum element detection technical field, comprising the following steps, step 1: obtaining XRF spectrum, determine element content;Step 2: channel intercept and data standardization processing;Step 3: division training set and test set;Step 4: construct feature mining coordination module;Step 5: build Transform-CNN deep learning model;Step 6: training set trains Transform-CNN model;Step 7: test set predicts target element content;Step 8: evaluation index evaluates model prediction effect.The application does not need to carry out complex pretreatment to XRF spectrum, can accurately, nondestructively, effectively detect the content of heavy metal element in soil.

The invention relates to a membrane simulation conjugated electrolyte and application thereof. The membrane simulation conjugated electrolyte has the following structure, the membrane simulation conjugate electrolyte has the beneficial effects that the membrane simulation conjugate electrolyte is designed, and a new means is provided for identifying different types of lipids and detecting a membrane microcell; the membrane simulation conjugated electrolyte based on the topological structure conjugated main chain shows a fluorescence spectrum blue shift characteristic due to conformation change in a membrane environment, so that the molecule shows flexible response capability to the change of a membrane microenvironment; besides, under the action of temperature change, the unique topological structure design enables the fluorescence characteristic to respond to the change of the membrane microenvironment, so that the detection of different types of lipids is realized.

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.

A water pollution trend prediction method based on three-dimensional fluorescence spectrum image features comprises the steps that firstly, the three-dimensional fluorescence spectrum image features are extracted through a Krawtchouk moment and an HOG descriptor, and the Euclidean distance between a current measurement point and a normal water quality cluster center is calculated and used for representing feature space similarity; meanwhile, analyzing the similarity of the position relationship through a binarization template of a fluorescence spectrum contour curve; and finally, carrying out weighted fusion on the two similarities to realize anomaly detection. For trend prediction, the pollution development trend is judged by calculating the included angle between the to-be-detected point and each pollution type cluster center relative to the normal water quality cluster center. According to the method, high-precision anomaly detection is realized by fusing the feature space similarity and the position relation similarity, and the pollution trend is judged by using the included angle. The method not only can capture the subtle change of the position and shape of the fluorescence peak of the three-dimensional fluorescence spectrum, but also can improve the recognition and prediction capabilities.