612 results about "Optical absorbance" patented technology

The invention relates to the field of water quality detection, in particular to a method, system and equipment for detecting solution impurities through a water quality detector and a medium. The method comprises the following steps: acquiring spectral data of a to-be-detected ion solution; a correction observation window is constructed on the spectral data according to the local concentration gradient and used for extracting local nonlinear features, and the local nonlinear features comprise absorbance gradient change features and fitting residual error anomaly features; establishing a mapping relation between the spectral data and a water quality detection result according to the local nonlinear characteristics in the correction observation window, and generating a correction coefficient through a scatter correction algorithm; correcting the spectral data according to the mapping relation and the correction coefficient; and identifying impurity components in the ion solution based on the corrected spectral data. The stable mapping relation between the absorbance and the impurity concentration can still be maintained in a strong ion interference environment, so that the measurement result can keep reliable precision even in a high-concentration ion intensity environment.

The invention relates to the technical field of multi-water quality analysis, in particular to a full-automatic water quality COD analysis method and device.The method comprises the steps that an absorbance spectrogram and electrochemical characteristics of a target water sample in a first preset wave band are obtained, and an original signal set is generated; obtaining dynamic characteristics of fusion liquid of the target water sample and the potassium dichromate solution in a second preset wave band, and performing characteristic level fusion on the dynamic characteristics and the original signal set to generate a reaction characteristic set; manifold learning and feature optimization processing are carried out on the reaction feature set, and an optimized feature set is generated; performing hybrid neural network modeling processing according to the optimized feature set, and outputting a preliminary COD predicted value; and after the preliminary COD predicted value is corrected, a correction result is verified, and a COD analysis set is generated. According to the invention, multi-source signal data can be efficiently integrated and deeply optimized, and the defects of low analysis efficiency and accuracy caused by insufficient data processing capability in complex water sample analysis in the prior art are overcome.

The invention provides a rapid evaluation method and system for the soil fertility level, and relates to the technical field of soil fertility detection.The rapid evaluation method comprises the steps that an original absorbance spectral data curve is obtained by scanning a soil sample, the moisture peak absorbance, the actual peak position wavelength and the moisture synthetic frequency characteristic peak width are extracted, and a spectral data basis is provided; a water-salt optical path coupling factor is calculated, water-salt correction operation is carried out in combination with a volume correction coefficient, a virtual dry soil spectrum data curve is obtained, interference of salt on a water optical path is quantified, and a water background and salt masking are eliminated; constructing a characteristic virtual baseline of the organic matter and the total nitrogen, calculating an integral area to obtain characteristic intensity of the organic matter and the total nitrogen, and providing a physical input variable for quantitative inversion; introducing a water-salt optical path coupling factor to invert the organic matter content and the total nitrogen content, and correcting signal depression caused by salt stress; the effective fertility index is calculated and graded by combining the organic matter content and the total nitrogen content of the soil, and the actual fertilizer supply capacity of the soil is comprehensively evaluated.

The invention belongs to the field of medical instrument coloring agents, and provides a natural anthocyanin endoscope coloring agent. According to the invention, the innovative design of combining a ternary color-stabilizing compound formed by anthocyanin, a co-chromophore and hydroxypropyl beta cyclodextrin with a chitosan sodium alginate polysaccharide system and a composite buffer system is adopted, and the viscosity is controlled to be 200-320 millisecond, the particle size of spray droplets is 40-60 microns, and the thickness of a thin film is 10-30 microns through specific molar ratio compatibility and a genipin crosslinking technology. Through accurate regulation and control, the excellent performance that a double-network thin layer is formed under the calcium ion environment that the absorbance retention rate at 520 nanometers is not lower than 90% and the elution rate is not lower than 90% under the irradiation of hundred thousand lux white light is achieved, the technical problems that a traditional endoscope coloring agent is poor in safety, low in stability and insufficient in mucous membrane contrast ratio are solved, and the wide clinical application value is achieved.

The invention discloses a dynamic leaching-spectrophotometric detection method for the release rate of nutrients in a slow-release fertilizer, and relates to the field of agrochemical analys.The detection method comprises the following steps that S1, a slow-release fertilizer sample is placed in a leaching column to be leached, and leachate is collected; s2, sequentially adding a masking agent solution and a chromogenic reagent into the leachate, and carrying out chromogenic reaction; s3, pumping the solution into a double-optical-path flow cell, and measuring absorbance values under a target nutrient characteristic absorption wavelength and a background interference characteristic wavelength; s4, calculating the corrected net absorbance; and S5, calculating the nutrient concentration, and drawing a nutrient release kinetic curve. By adopting a dual-wavelength synchronous detection and real-time dynamic subtraction correction algorithm, the method can eliminate system errors of time-varying background chromaticity, so that accurate and reliable absorbance readings can be obtained at the initial stage of nutrient release even if the nutrient concentration in the leachate is very low, thereby ensuring the authenticity of the initial stage of a release curve and improving the accuracy of nutrient release. And initial release kinetic parameters are accurately captured.

The invention discloses a residual chlorine determination method, and relates to the technical field of monitoring. The method comprises the following steps: immersing a potential type residual chlorine sensor into a standard residual chlorine solution, collecting a potential response value, calculating a response coefficient, and correcting a potential signal of the sensor; denoising the corrected signal by using a multi-scale fuzzy entropy algorithm to obtain a processed signal; color development time, spectral absorbance and environmental parameter data are collected, the processed signals are combined, and four-dimensional historical data are generated through multi-dimensional quantitative fusion; constructing a four-dimensional residual chlorine concentration detection model based on the three-dimensional curved surface model, and training the model by using four-dimensional historical data; inputting four-dimensional real-time data to the trained model, and outputting predicted residual chlorine concentration; and comparing the predicted value with the actual concentration, directly outputting if the error is smaller than a preset threshold value, fusing real-time data into a historical data retraining model if the error is larger than the threshold value, and outputting after iterative optimization. According to the invention, the four-dimensional residual chlorine concentration detection model is constructed, so that the refined determination of the residual chlorine content is realized.

Disclosed are a micro-display chip and a preparation method thereof. The micro-display chip includes: a self-luminescence layer, a wavelength conversion layer, and a first transmitting-and-reflecting layer and / or a second transmitting-and-reflecting layer; the first transmitting-and-reflecting layer is disposed between the self-luminescence layer and the wavelength conversion layer; the second transmitting-and-reflecting layer is disposed on another surface of the wavelength conversion layer; the first transmitting-and-reflecting layer has low reflectivity and high transmissivity for the first color light and high reflectivity and low transmissivity for the second color light, and the second transmitting-and-reflecting layer has high reflectivity and low transmissivity for the first color light and low reflectivity and high transmissivity for the second color light. The micro-display chip of the present disclosure can effectively improve the absorbance and color purity of conversion light, thereby obtaining a brighter and purer conversion spectrum.

The invention discloses a degradable resin material, an optical property regulator, an optically-adjustable environment-friendly mulching film and a processing method of the optically-adjustable environment-friendly mulching film, and belongs to the field of degradable environment-friendly materials. The invention provides a degradable polyester resin material with a novel structure, namely polycaprolactone-co-lactide. The degradable polyester resin material is formed by performing ring-opening copolymerization on epsilon-caprolactone and lactide under the catalytic action of a symmetric binuclear Schiff base complex; the ratio of the average chain segment length of caprolactone to the average chain segment length of lactide in the resin material is (2-2.2): (2-2.2), which is close to that of an alternating copolymer. The compound can be used as an optical property regulator, and preparation of an environment-friendly mulching film with adjustable optical properties such as ultraviolet light absorbance, infrared light transmittance and haze can be realized under the condition that no dye or other coloring additives are used.

To improve measurement accuracy.A concentration measurement device includes: an absorbance measurement unit configured to measure absorbance in a plurality of different wavelength regions for a mixed liquid in which different liquids are mixed; and a control unit configured to correct a concentration of at least one liquid on the basis of absorbance in the plurality of different wavelength regions. The absorbance measurement unit measures absorbance in two wavelength regions. The absorbance measurement unit measures absorbance in a spectrum. Particles contained in one of the different liquids are different from particles contained in another of the different liquids. Each of the different liquids is a suspension or a solution. The mixed liquid includes a white blood cell suspension and a red blood cell suspension. The control unit calculates a mixing ratio of a liquid mixed in the mixed liquid, from absorbance in the plurality of different wavelength regions. The control unit corrects the absorbance on the basis of a mixing ratio of a liquid mixed in the mixed liquid.

The invention discloses a water quality monitoring method based on turbidity compensation, which comprises the following steps: establishing a standard absorption spectrum curve of a plurality of turbidity substances, establishing a multivariate standard turbidity compensation database based on a polynomial fitting model, the data dimension of each multivariate standard turbidity compensation database being turbidity-wavelength-absorbance; acquiring the absorption spectrum and turbidity of the to-be-detected liquid; taking the wavelength of the visible light region as the reference wavelength of multi-element turbidity compensation, and carrying out regression analysis on the absorbance of the to-be-measured liquid with the current turbidity at the reference wavelength and the absorbance of the plurality of turbidity substances at the reference wavelength to obtain the contribution proportion of each turbidity substance; and calculating a total interference spectrum according to the contribution proportion of each turbidity substance, and subtracting the total interference spectrum from the absorption spectrum of the liquid to be detected to obtain a corrected spectrum. According to the method, spectral information of complex suspended matters in water is simulated through spectral information of various turbidity substances, the universality of a compensation model is improved, and the accuracy of water quality detection is improved.

The invention relates to the technical field of microbe traceability analysis, in particular to a microbe traceability analysis method based on an infrared absorption spectrum and a database, and the method comprises the following steps: acquiring absorbance spectral data: acquiring background spectral data for multiple times, performing background correction, acquiring spectral data of a sample containing a strain, and finally calculating the absorbance spectral data; preprocessing the absorbance spectrum data: smoothing the absorbance spectrum data by adopting an SG smoothing algorithm, and calculating a first-order derivative or a second-order derivative of the smoothed absorbance spectrum data to obtain an absorbance spectrum data set; spectral range selection: presetting different spectral ranges, and selecting different spectral ranges for analysis according to requirements; analyzing the similarity of the strains: analyzing the similarity of the absorbance spectral data set of the strains by adopting an improved hierarchical clustering algorithm; bacterial strain traceability analysis: determining a classification threshold by adopting a threshold determination algorithm, and judging microorganism traceability information; the traceability analysis precision is high, and the reliability, the stability and the practicability are high.

The invention provides an image display apparatus. The present invention addresses the problem of providing an image display device which, when performing black-and-white display, has excellent contrast between black display and white display, and has excellent performance of suppressing a decrease in white display brightness. This image display device is provided with: an image display element having a display region and a non-display region; and an optical member covering the display region, in which the refractive index of the optical member is 1.55 or more, the optical member contains a visible light absorbing material [alpha], the internal absorbance A2 of the optical member calculated by the following test X2 is 0.0004-0.03, and the parameter X2 is 30-3000 m <-1 >.

The invention discloses a clinical examination equipment remote calibration method and system based on edge calculation, and relates to the field of instrument calibration, the system is composed of a plurality of functional modules, and the system comprises: a multi-modal data acquisition module for acquiring historical calibration data of absorbance, including fluorescence images, cell fluorescence signal intensity and morphological characteristics; the edge calculation module is used for establishing a multiple linear regression model according to historical calibration data of the absorbance and predicting an attenuation curve of the optical detection unit; on the basis of a federated learning framework, a fluorescence signal intensity compensation matrix is optimized by utilizing shared parameters among edge nodes, and light path gain parameters are automatically adjusted; performing outlier analysis on each batch of detection data through a built-in Westgard rule engine, and triggering automatic redetection of morphological characteristics; analyzing absorbance time sequence data in combination with a 1D-CNN model, and identifying reagent pollution and optical assembly aging; and the drifting calibration module adopts a PID controller to dynamically adjust the power of the laser.

The invention discloses an intelligent monitoring device for chest drainage components, which comprises a spectrum analyzer and a drainage bin, a main control chip; an output unit; a power supply unit; a detection area is arranged on one side of the spectrum analyzer, a detection end capable of stretching into the detection area is arranged on one side of the drainage bin, a detection cavity allowing drainage liquid to enter is formed in the detection end, the optical detection module comprises a light source module capable of emitting light beams to the detection cavity and a detector used for receiving reflected light beams, and the detector is connected with the main control chip. A reflective optical detection technology is adopted, monitoring of key components such as hemoglobin, chylomicroparticles and inflammatory factors is realized at the same time, a characteristic absorption spectrum of a specific biomarker can be covered by a multi-wavelength light source module, and concentration change trends of various components are synchronously obtained by combining absorbance dynamic analysis of a main control chip; the limitation of single parameter detection of a traditional device is broken through.

The invention discloses a honey adulteration detection method, which belongs to the technical field of food detection, and comprises the following steps: collecting an absorbance spectrum of a honey sample by using a near infrared spectrometer; extracting characteristic absorbance values A < lambda > 1 and A < lambda > 2 at a 1450 nm water molecule absorption peak and a 1490 nm saccharide molecule absorption peak; the ratio R is equal to A lambda 1 / A lambda 2; and comparing the R with a threshold range of 0.85-1.15 of pure honey so as to judge whether the honey is true or false. The portable device comprises a sample bin, a near infrared spectrum module, a control unit and a human-computer interaction interface, wherein a rotatable sample table is arranged in the sample bin to accommodate a plurality of disposable sample cups. The method abandons a complex black box model, adopts a characteristic wavelength ratio method with clear physical significance, has the outstanding advantages of simple principle, rapid detection (less than 30 seconds), high accuracy, low cost, simplicity and convenience in operation and the like, perfectly solves the problems of expensive equipment, long time consumption, limited identification capability and dependence on professionals in the prior art, and has a wide application prospect. The method is especially suitable for market on-site rapid screening.

The present invention addresses the problem of providing: a composition and a polymer compound which are each capable of suppressing aggregation of a dye that has a nonlinear optical effect in a nonlinear optical material, and exhibiting a higher electro-optic effect with respect to the absorbance after poling; a nonlinear optical element which is obtained using the composition; and an optical modulator which comprises the nonlinear optical element and operates on the basis of an electro-optic effect. The present invention pertains to a composition which contains a compound represented by formula (1) and a compound represented by formula (3), wherein the content of the compound represented by formula (3) is 0.0001 mol% to 25 mol% inclusive relative to the total content of the compound represented by formula (1) and the compound represented by formula (3).　(Definitions of groups are as set forth in the description.)

A reflective display panel including a first substrate, a second substrate, a liquid crystal layer, a pixel driving layer, a color filter layer, and a polarizer. The pixel driving layer is provided with a reflective layer overlapping the color filter layer. Absorbance of a first filter pattern of the color filter layer is greater than or equal to 0.25 and less than or equal to 0.9 in a wavelength range between 530 nm and 580 nm. Absorbance of a second filter pattern of the color filter layer is greater than or equal to 0.8 and less than or equal to 1.25 in a wavelength range between 630 nm and 680 nm. Absorbance of a third filter pattern of the color filter layer is greater than or equal to 0.95 and less than or equal to 1.3 in a wavelength range between 580 nm and 630 nm.

The invention relates to a water quality detection data processing method and device, computer equipment and a storage medium. The method comprises the following steps: after carrying out digestion treatment on a current water body at a preset digestion temperature by virtue of a digestion solution, acquiring reference transmission light intensities corresponding to a plurality of temperature points in a process of reducing the self-digestion temperature of the current water body to room temperature; a regression prediction model used for transmission light intensity prediction is obtained, the multiple reference transmission light intensities are input into the regression prediction model for linear regression prediction processing, and the predicted transmission light intensity of the current water body at the room temperature is obtained; and determining the predicted absorbance of the current water body according to the predicted transmitted light intensity, obtaining the reference absorbance of the purified water at room temperature, and obtaining a water quality detection result according to the difference between the predicted absorbance and the reference absorbance. By adopting the method, the water quality of the water body can be quickly and stably detected and judged on the premise of not waiting for natural or controlled cooling.

A method for non-contact oxygen saturation prediction based on a hyperspectral camera, according to one embodiment of the present invention, may comprise the steps of: acquiring a hyperspectral image of a subject by using the hyperspectral camera; measuring the absorbance of at least one face region that is detected in consideration of the correlation with a change in oxygen saturation from among the face regions of the subject from the hyperspectral image; determining at least two optimal wavelength bands from among wavelength bands measured by using the hyperspectral camera in consideration of the absorbance of oxyhemoglobin and the absorbance of deoxyhemoglobin; and predicting the oxygen saturation of the subject on the basis of the absorbance of the at least one face region and the at least two optimal wavelength bands.

The application discloses a machine learning enhanced silver-based covalent organic framework nanoscale enzyme colorimetric detection method and application thereof, and constructs a covalent organic framework loaded with silver nanoparticles to form a nanoscale enzyme with oxidase-like activity, which is used for rapid visual detection of mercury ions. When mercury ions exist, silver ions in the COF-AgNPs can form silver amalgam with the mercury ions, thereby catalyzing the colorless substrate 3,3',5,5'-tetramethylbenzidine to generate a blue oxidation product oxTMB. The content of mercury can be judged by detecting the absorbance and RGB value changes of the color development reaction. Meanwhile, a machine learning data analysis strategy of a support vector machine model is adopted to perform five-fold stratified cross-validation analysis on the obtained absorbance and RGB values, so that the detection range is expanded and the detection sensitivity is improved.

The invention discloses a machine learning enhanced silver-based covalent organic framework nano-enzyme colorimetric detection method and application thereof, and constructs a nano-enzyme which is formed by loading silver nanoparticles on a covalent organic framework and has oxide-like enzyme activity, and the nano-enzyme is used for rapid visual detection of mercury ions. When mercury ions exist, silver ions in the COF-AgNPs can form silver amalgam with the mercury ions, so that a colorless substrate 3, 3 ', 5, 5'-tetramethyl benzidine is catalyzed to generate a blue oxidation product oxTMB. And the mercury content can be judged by detecting the absorbance and RGB value change of the chromogenic reaction. And meanwhile, a machine learning data analysis strategy of a support vector machine model is adopted to carry out five-fold layered cross validation analysis on the obtained absorbance value and RGB value, so that the detection range is expanded, and the detection sensitivity is improved.

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 invention relates to the technical field of gas detection, in particular to a holder type linear light beam combustible gas detection system and equipment, which comprises a data acquisition module, a spectral analysis module, a positioning identification module and a trend identification module, the wavelength scanning range of to-be-detected gas is determined by collecting the starting wavelength and the ending wavelength of the to-be-detected gas in the current scene; forming an absorption spectrogram according to the wavelength scanning range of the gas to be detected and the absorbance value of each point in the wavelength scanning range; performing feature extraction on spectrum points of the absorption spectrogram, extracting matching items of the spectrum points one by one, and identifying matching gas items of the spectrum points in the absorption spectrogram; according to the phase difference of the matched gas item of each spectrum point at the adjacent point, positioning the coordinates of the leakage point according to the linear relation between the absorbance and the gas concentration on the leakage point; positioning a response strategy of each leakage point according to the change trend of the gas concentration on each leakage point; and the combustible gas detection precision and the positioning accuracy are realized.

The invention belongs to the technical field of measurement, and relates to an intelligent correction method for an ultraviolet spectrum signal of a seawater nitrate sensor. The method comprises the following steps: 1, calculating absorbance data of each sample at different temperatures; 2, preprocessing the absorbance data by adopting a self-adaptive wavelet denoising algorithm; 3, performing linear fitting on the preprocessed data within the wavelength range of 240-260nm to obtain a linear equation; the absorbance data obtained after baseline correction is determined as the absorbance of the bromide ions; 4, calculating the molar extinction coefficient of the bromide ions, and solving a linear relation between the natural logarithm of the molar extinction coefficient of the bromide ions and the temperature; 5, temperature correction is conducted on the molar extinction coefficient of the bromide ions; 6, salinity correction is conducted through the salinity credible factor, and finally the bromide ion absorbance subjected to temperature salinity correction is obtained. According to the method, the problems of bromine ion spectrum overlapping interference, random noise, baseline interference, temperature-salt interference and the like can be effectively solved.

The invention relates to the technical field of intelligent detection, in particular to a feed mycotoxin detection method and system based on spectral analysis. The method comprises the following steps: acquiring a near-infrared diffuse reflection spectrum of a feed sample to be detected, constructing an original spectrum vector based on absorbance data of the near-infrared diffuse reflection spectrum, and determining a projection component of the original spectrum vector on a pre-constructed qualified matrix space; subtracting the projection component from the original spectrum vector to obtain a residual vector, and calculating a first-order difference spectrum of the residual vector based on a preset sensitivity weight; and performing local feature weighting on the first-order difference spectrum to determine a weighted feature value, determining a residual entropy value of the residual vector and a range value of the residual vector, and determining a detection result of the to-be-detected feed sample by using the weighted feature value, the residual entropy value and the range value. According to the technical scheme, a more accurate detection result of the mycotoxin of the feed can be obtained.

The invention relates to the technical field of single-walled carbon nanotubes, and provides a single-walled carbon nanotube purity measurement method, system and equipment and a storage medium. The measuring method comprises the following steps: acquiring the ratio of the main peak absorbance of a first energy band absorption region or the main peak absorbance of a second energy band absorption region of an absorption spectrum to the absorption valley absorbance of a first absorption region of a metallic carbon nanotube; acquiring the ratio of the main peak absorbance to the secondary peak absorbance of the first energy band absorption region of the absorption spectrum or the ratio of the main peak absorbance to the secondary peak absorbance of the second energy band absorption region of the absorption spectrum; and constructing a normalized purity function according to the first absorbance ratio and the second absorbance ratio, and obtaining the purity of the single-walled carbon nanotube sample based on the normalized purity function. According to the method, the normalized purity function is constructed, and a mapping table is replaced by a function formula driven by a physical model, so that the dependence on the mapping table is eliminated, the accuracy, the universality and the efficiency of s-SWCNT purity measurement can be remarkably improved, and meanwhile, the operation threshold is reduced.

A coloring composition comprising a coloring agent including a red coloring agent, a resin, a polymerizable compound, and a photopolymerization initiator. The resin comprises a resin BI having a repeating unit containing a blocked isocyanate group. The coloring composition has a ratio (Amax1 / Amin1) of the maximum absorbance Amax1 for light with a wavelength of 400 to 500 nm to the minimum absorbance Amin1 for light with a wavelength of 550 to 700 nm of 25 or greater, and the wavelength at which the absorbance reaches 0.3, when the absorbance for light with a wavelength of 500 nm is set to 1, is within the range of 570 to 620 nm. A cured film obtained by curing the coloring composition, and a color filter and display device comprising the cured film.

The present invention discloses a rapid detection method for sodium polydisulfide (PDPS). The method comprises preparing a buffer solution and an Elma color developer; preparing multiple sets of sodium polydisulfide (PDPS) solutions of different concentrations; pretreating the sodium polydisulfide (PDPS) solutions with an excess of a boron hydride compound as a reducing agent to reduce the sodium polydisulfide to a thiol-containing compound; and removing the excess reducing agent. An absorbance test is performed to establish a standard curve for the concentration and absorbance of the brightener, and the concentration of the sodium polydisulfide (PDPS) in the electrolyte to be tested is measured using the established standard curve. The method uses a boron hydride compound as a reducing agent and utilizes ultraviolet-visible spectroscopy to rapidly detect the content of the brightener, sodium polydisulfide (PDPS). The method is convenient and simple to operate, provides highly accurate test data, and is applicable to the detection of electroplating bath additives in various systems.

DEPCT6907 / 10 / 2568 What is provided is an optical cell for receiving the sample in order to measure the concentration of the sample. Methods for measuring light absorption may improve operational capabilities and measurement accuracy. More than a typical device. Optical cell 2 for sample packing used in concentration meter sets for measurement. The sample concentration is measured using an absorbance method that includes a directional packed section 21. Longitudinal and short directions in the horizontal cross-section and 24 projections extending from the sides in the longitudinal direction. Along the length of the packing section 21 in the short direction;

The application discloses a kind of temporary bonding glue and its application.Temporary bonding glue includes polyimide, the polyimide includes big conjugate unit, the conjugate atom number of big conjugate unit is greater than or equal to 40, and big conjugate unit includes at least one of diphenyl ether group, fluorenyl group or indane structural unit;The polyimide further includes at least one of benzotriazole group, nitro group.The application is improved on the structure of polyimide, and the temporary bonding glue is used in wafer processing, so that the absorbance of temporary bonding glue at target debonding wavelength 355nm is significantly increased, thereby significantly reducing threshold debonding energy, and it is expected to reduce the risk of wafer warping, cracking, or surface device failure, improve the life of laser and debonding efficiency.