1028 results about "Optical absorbance" patented technology

The invention relates to an extended-range resonant photoacoustic cell for acetylene detection and a detection method thereof, belongs to the technical field of partial discharge in a high-voltage insulating transformer, and provides the extended-range resonant photoacoustic cell for acetylene detection in order to solve the problem that a photoacoustic spectrum detection device is poor in sensitivity. Comprising a first buffer cavity, a second buffer cavity, a laser, four reflectors, a photoelectric detector and a controller which are arranged in a shell, and a resonance gas chamber is arranged between the first buffer cavity and the second buffer cavity so as to communicate the first buffer cavity with the second buffer cavity; the laser is located on one side of the first buffer cavity. The four reflectors are symmetrically arranged in the first buffer cavity and the second buffer cavity in pairs respectively; the photoelectric detector is used for detecting optical signals; the microphone is used for sound signals; the controller is used for processing the optical signal and the acoustic signal to obtain a detection result of the characteristic gas. The four reflectors not only can increase the absorbance, but also can realize continuous monitoring and improve the detection sensitivity.

The invention discloses a detection and analysis system for an oil-controlling and soothing extract, particularly relates to the field of extract detection, is used for solving the problem of accurate quantitative analysis of complex components, and is characterized in that omnibearing characteristics of a sample are synchronously acquired and captured through multiple spectrums, and the information is fused into a high-dimensional data framework, so that the limitation of a single spectrum is avoided; thirdly, noise is removed through accurate calibration, sparse decomposition and cross-modal verification are combined, and it is ensured that extracted component signals truly reflect chemical characteristics and are not covered by redundant interference; on the basis, a clear signal of a target active component is further separated by utilizing dynamic convolution and an attention mechanism, and irrelevant background influence is eliminated; finally, through segmented modeling and geometric constraint, absorbance change is accurately converted into concentration data, and the concentration data can be kept stable even under the background fluctuation or nonlinear condition, so that the quantitative inversion error of the active component is reduced under the scene of background signal fluctuation or non-uniform optical path, and the accuracy of a determination result is improved.

The invention discloses a Micro-LED micro display chip and a preparation method thereof, and relates to the technical field of micro display. The Micro-LED micro display chip comprises a driving panel, a plurality of LED chips and a plurality of LED chips, the plurality of LED units are arranged on the driving panel, the plurality of LED units are provided with a plurality of LED table boards which are in one-to-one correspondence, and each LED unit can be independently driven by the driving panel; the grid structure is provided with a plurality of grid holes, the plurality of grid holes are respectively arranged around the plurality of LED table boards, and concave areas are formed between the LED table boards and the corresponding grid holes; the lens unit is arranged in the concave area and located above the LED unit. And the wavelength conversion layer comprises a plurality of wavelength conversion units, and the plurality of wavelength conversion units are arranged above the lens unit. According to the Micro-LED micro display chip, the absorbance and the conversion lighting effect of the wavelength conversion layer can be improved, the light emitting purity of a pixel area is guaranteed, and the screen color gamut and the color purity of a display are improved.

The invention relates to the technical field of grain sorting and cleaning, in particular to a multi-modal sensor fusion-based grain quality dynamic grading and stone removal cooperative control method, which comprises the following steps of: 1, synchronously collecting by a multi-modal sensor, and generating a synchronous pulse through a high-speed photoelectric trigger when grains fall, a linear array camera is triggered to collect grain surface morphology sequence images, a near-infrared spectrometer collects an absorbance curve and moisture content data, and a piezoelectric weighing platform collects impact pressure waveforms; step 2, dynamic grading decision making; step 3, generation of collaborative parameters; 4, executing and feedback optimization, and issuing the generated parameters to a vibrating screen, a fan and an inclination angle adjusting mechanism to execute control; and detecting the proportion of residual impurities at a stone removal outlet, and triggering the cascade decision-making model to retrain when the proportion exceeds the limit continuously. Through the design, the grain grading and stone removing efficiency and accuracy are remarkably improved, and high-quality product experience and value-added benefits are provided for users.

The invention relates to the field of gas measurement, and discloses an ammonia escape multi-component simultaneous determination method and device and a storage medium, and the method comprises the following steps: carrying out data preprocessing on an original absorbance spectrum of a modeling sample; constructing a multivariate correction basic concentration prediction model, and training the model by using the preprocessed data; utilizing the model to obtain the initial predicted concentration of each component of a to-be-detected sample; a reference absorbance spectrum is obtained through inversion according to the preliminarily predicted concentration and the basic absorbance spectrum of the target gas; constructing a wavelength drift adaptive correction model, and inputting the original absorbance spectrum into the wavelength drift adaptive correction model to obtain a corrected absorbance spectrum; adjusting parameters of the wavelength drift self-adaptive correction model; obtaining a corrected spectrum; inputting the corrected spectrum into the trained model to obtain multi-component concentration output; the method has the beneficial effects that the influence of cross interference and wavelength drift in the concentration prediction process is eliminated, and the concentration prediction accuracy is improved.

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 belongs to the technical field of SERS (Surface Enhanced Raman Scattering) substrate preparation, and particularly relates to a preparation method of an array micropore SERS substrate with a nano-structure inner wall, which comprises the following steps: analyzing the propagation mode of light in micropores with the nano-structure inner wall and the correlation between the micropore size and the light capture capability; a micropore unit is constructed on the surface of an SERS substrate material, and the bottom and the side wall of a micropore form a nanoscale rough surface with stacked pits; through high-consistency precision control, an N * N array micropore structure is formed on the surface of the SERS substrate material; sputtering a layer of gold film on the surface of the array micropore structure; carrying out absorbance test; evaluating the SERS activity through a Raman spectrum; the minimum trace detection limit of the SERS substrate is obtained, and preparation of the SERS substrate is completed. According to the invention, synchronous construction of array micropores and a nano structure is applied, so that the SERS substrate has a light trapping effect, and the utilization rate of an excitation laser beam for testing by the surface of the substrate is improved.

An appliance includes a temperature control system, a light source, and a spectrometer. The spectrometer works in conjunction with the light source to obtain a measured value of a foodstuff. The measured value is at least one of an absorbance value, a transmittance value, and a reflectance value. The measured value from the foodstuff is compared to a reference value for the foodstuff.

The invention relates to the technical field of total phosphorus detection, in particular to a method for determining total phosphorus in water, which comprises the following steps: 1) digestion treatment: adding an oxidant into a water sample to be detected, and then performing microwave digestion treatment to obtain digested water; a molybdate reagent is added into the digested water, then an improved ascorbic acid solution is added, a chromogenic reaction is completed at the set temperature, and the improved ascorbic acid solution is obtained by mixing an ascorbic acid solution and sodium ethylene diamine tetracetate; measuring the concentration: measuring the absorbance value of the obtained color development product by using a spectrophotometer and a long-optical-path cuvette; and drawing a standard curve: using a phosphorus standard solution as a quality control sample, adding a plurality of calibration points in a low-concentration interval of 0.0-0.1 mg / L, carrying out colorimetric determination, and establishing quadratic equation fitting according to absorbance and concentration so as to determine the total phosphorus content of the water sample to be detected, and the method has the advantages of high sensitivity and good accuracy in total phosphorus testing.

The invention belongs to the technical field of physiological state estimation, and discloses a blood oxygen estimation method based on combination of successive variational mode decomposition and adaptive filtering, which comprises the following steps of: removing high-frequency noise and baseline drift from a collected pulse wave signal; performing successive variational mode decomposition and adaptive filtering on the pulse wave signal to remove motion artifacts; accurate peak values and valley values are extracted according to the denoised pulse waves; the R value is calculated according to the denoised pulse wave and the extracted peak value and valley value, the blood oxygen saturation degree is solved according to the R value, and the R value refers to the absorbance ratio of the red light and the infrared light in the blood. According to the blood oxygen estimation method based on the combination of the successive variational mode decomposition and the self-adaptive filtering, the effect of removing motion artifact noise of photoelectric volume pulse wave signals is achieved, multi-peak-value joint detection is used, peak values and valley values are accurately extracted, and therefore the R value is determined, the blood oxygen saturation degree is obtained, and the accuracy of blood oxygen estimation is improved. And the precision of estimating the blood oxygen saturation is greatly improved.

The invention relates to the field of betacyanin content detection, and discloses a method for rapidly detecting betacyanin content based on spectrophotometry, which comprises the following steps: experimental operation: preparing samples into standard solutions with different concentrations, carrying out full-spectrum scanning on the standard solutions by using a spectrophotometer, and determining the content of betacyanin by using a spectrophotometer; recording absorbance values under different wavelengths to form a spectral data matrix; preprocessing: preprocessing the spectral data matrix to obtain basic data; first analysis: analyzing the basic data by adopting a multivariate correction technology so as to obtain first data; and second analysis: analyzing the basic data by adopting a spectral feature extraction and mode recognition technology. A complete detection process is formed from data acquisition, preprocessing and analysis of different technologies to final fusion and integration, each step provides better data or more accurate analysis results for subsequent steps, and rapid and accurate detection of the betacyanin content is jointly realized.

The invention discloses a multi-parameter water quality detection device and method, and the device comprises a collection front end which is made of a quartz material, is integrated with a UV optical module and an electrochemical module, and is used for collecting optical and electrochemical signals of water quality parameters; the temperature probe is used for measuring the environment temperature in real time and outputting a temperature compensation signal; the detection electrode is used for driving and detecting the total dissolved solids through alternating voltage; the UV detection module comprises a UV emission lamp bead and a UV photosensitive lamp bead, is arranged in the collection front end in a correlation manner and is used for detecting the absorbance of the water sample so as to calculate the chemical oxygen demand and the total organic carbon; and the control mainboard is electrically connected with the temperature probe, the detection electrode and the UV detection module, is internally provided with a temperature compensation algorithm, and is used for processing signals and outputting TDS, COD and TOC parameters. According to the invention, UV optics, electrochemistry and temperature compensation technologies are integrated, the limitation of traditional single-parameter detection is broken through, integrated detection of TDS, COD and TOC multiple parameters is realized, and the problem of synchronous measurement of multiple parameters is solved.

The invention provides a water quality multi-parameter detection method and system based on ultraviolet-visible light section spectroscopy, which are used for detecting turbidity, chemical oxygen demand and nitrate nitrogen concentration in a water sample. The method comprises the following steps: firstly, acquiring spectral data of a water sample, converting the spectral data into absorbance, then calculating influence factors of turbidity, chemical oxygen demand and nitrate nitrogen on a mixed sample spectrum, and dividing a spectral range into three characteristic spectral sections according to the influence factors, which correspond to the turbidity, the chemical oxygen demand and the nitrate nitrogen respectively. And finally, establishing a multi-parameter detection model by using a partial least squares PLS method for predicting turbidity, chemical oxygen demand and nitrate nitrogen concentration. According to the method, the interference of serious overlapping of multi-parameter spectral lines is avoided through segmented analysis of the spectrum, the detection precision is improved by utilizing a method of fusing the first-order derivative spectrum, and particularly, the effect in the aspect of nitrate nitrogen detection is remarkable. The method is easy and convenient to operate and low in cost, and a more effective technical means is provided for water quality monitoring and water environment protection.

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 relates to a method for efficiently and accurately measuring the content of a urease inhibitor in a stabilized fertilizer. The method comprises the following steps: preparing a sample solution; carrying out digestion treatment on the sample solution; carrying out chromogenic reaction; measuring the absorbance of the blue complex by using a 3cm cuvette under the wavelength of 710 nanometers by using a spectrophotometer; and calculating the content of the total effective components of the urease inhibitor in the sample according to a relational expression between the phosphorus content and the absorbance. According to the invention, accurate measurement of the content of the target component can be realized through chemical digestion, chromogenic reaction and photometric analysis, the measurement method is simple and reliable, the measurement method shows significant advantages in the aspect of urease inhibitor content measurement, and powerful technical support can be provided for quality control and performance evaluation of related products. Compared with the existing liquid chromatography, the method has the advantages that the cost advantage is obvious, the acquisition cost and the maintenance cost of a liquid chromatograph and matched equipment thereof can be saved, accurate determination can be carried out only by using a conventional detection appliance, and the method has good universality.

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.

ultraviolet (UV) based imaging method for determining protein concentrations of unknown protein samples based on automated multi-wavelength calibration. In various embodiments, a processor receives each of a standard set of wavelength data and an unknown set of wavelength data as recorded by a detector. Each standard set of wavelength data and unknown set of wavelength data defines a series of absorbance-to-wavelength value pairs across a first range of wavelengths selected from a range of a single-wavelength light beams of a UV spectra. The processor generates a multi-wavelength calibration model based on each of a first series of first absorbance-to-wavelength value pairs of the standard set of wavelength data. The processor implements the multi-wavelength calibration model to determine, for each unknown protein sample of the given unknown protein samples, a plurality of protein concentration values.

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 relates to the technical field of water quality detection, and discloses a water quality monitoring method and system based on a full spectrum, light absorption value II detection at different heights is carried out on each index of water quality in a water body through the full spectrum, normalization processing is carried out on the light absorption value II and a light absorption value I in pure water to obtain an absorbance uniformity value # imgabs0 #, and the absorbance uniformity value # imgabs0 # is calculated. Correlating and weighting the light absorption value II # imgabs1 # and the absorbance uniform value # imgabs2 # at any height, establishing a multiple linear regression model, estimating a regression coefficient # imgabs3 # through a least square method, obtaining a predicted value # imgabs4 #, substituting the predicted value # imgabs4 # into a standard curve regression equation of each index, obtaining a final concentration value of each index, reducing the difference of the light absorption values at different heights during detection, and determining the concentration value of each index. The on-site water quality detection accuracy is improved.

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.

The invention provides a water quality detection method based on combination of machine learning and spectrophotometry, and the method comprises the steps: measuring the absorbance of a water sample under a plurality of preset wavelengths through a spectrophotometer to form a multi-dimensional absorbance data set, mapping the multi-dimensional absorbance data set to a high-dimensional space through a kernel function technology to obtain a data set with enhanced non-linear features, and carrying out the detection of the non-linear features of the multi-dimensional absorbance data set. Extracting a known water sample and the pollutant concentration corresponding to the known water sample from historical water quality data, generating a training sample set, performing pollutant concentration prediction on the data set with the enhanced nonlinear characteristics by applying a machine learning model, and dynamically adjusting the training sample set by adopting an active learning strategy to obtain a pollutant concentration prediction value, and performing safety grade evaluation on the water sample and outputting a water quality report by using the predicted value of the pollutant concentration in combination with a water quality safety standard, the technical scheme provided by the invention improves the efficiency and accuracy of water quality detection, provides powerful technical support for environmental protection and public health guarantee, and has a wide application prospect. The whole process realizes integrated operation from data acquisition to result interpretation, and ensures scientificity and reliability of water quality management decision.

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 embodiment of the invention relates to a processing method and device of an organic molecule maximum absorption peak prediction model. The method comprises the following steps: constructing a maximum absorption peak prediction model for predicting the maximum absorbance and the maximum absorption wavelength of a maximum absorption peak according to a molecular structure, environment temperature, environment illumination intensity and an environment PH value input by the model by taking an MLP model and a Un i-Mo < l > model as a core component, wherein the maximum absorption peak prediction model is used for predicting the maximum absorbance and the maximum absorption wavelength of the maximum absorption peak according to the molecular structure, the environment temperature, the environment illumination intensity and the environment PH value input by the model; constructing a first data set through data acquisition, and training a maximum absorption peak prediction model based on the first data set; and after the model training is finished, receiving a first molecular structure and a first environment parameter set input by the user, and predicting the maximum absorption peak information of the first molecular structure under all first environment parameters by using the maximum absorption peak prediction model to obtain a corresponding first prediction vector set to be fed back to the current user. According to the method, the task processing real-time performance of the maximum absorption peak recognition task can be improved, and the personalized prediction level can be improved.

A method and instrument for determining optical density of a solution is disclosed. A flow cell 1 having at least three light paths (4a, 4b, 4c) is provided (100), wherein each light path has a respective predetermined path length, l. Absorbance readings are taken (400), A, of the solution at the at least three light paths (4a, 4b, 4c). For each pair of light paths, a slope, αc, is calculated (500) by dividing a difference in absorbance reading, ΔA, with a difference in path length, Δl. The calculated slopes, αc, are compared (600), and a) if the calculated slopes, αc, are the same, the slope is used for determining (700) optical density of the solution, or b) if the calculated slopes, αc, are not the same, the steepest slope of the calculated slopes is used for determining (701a) optical density of the solution, or the slope of the calculated slopes being in the range of an absorbance reading of 0.01 to 2 is used for determining (701b) optical density of the solution.