604 results about "Analytical technique" patented technology

A method and a system for reconstructing aerosol chemical components based on CNN-BiLSTM-BO, including collecting multi-source environmental observation data through observation equipment, preprocessing and extracting key characteristic variables. The pre-treated multi-source environmental observation data are input into the CNN-BILSTM model for feature analysis, and the CNN-BiLSTM hyperparameters are adjusted by Bayesian optimization algorithm to generate a reconstructed model of aerosol chemical components. After verifying the performance and stability of the reconstructed model, the predicted results of the chemical components of the aerosol are output. On the basis of not relying on traditional chemical analysis technology, the invention can accurately reconstruct various aerosol chemical components, greatly reduce the cost and time of chemical analysis, effectively solve the problems of variable inconsistency, data missing, and spatio-temporal mismatch in multi-source observation data, and automatically adjust hyperparameters through Bayesian optimization algorithm to ensure that the output prediction results are more accurate.

The invention relates to the technical field of water quality data analysis, and discloses a river water quality pollution assessment method and system based on big data analysis, and the method comprises the steps: building a water quality parameter set; obtaining a preprocessed water quality data set; obtaining a global statistical analysis result through descriptive statistical analysis; carrying out hierarchical multi-time evaluation analysis to obtain a hierarchical evaluation result; obtaining a deviation value between the current water quality data and standard water quality data of a laboratory; reliable water quality characteristic data are obtained; a difference trend analysis result is obtained; performing relevance verification on the river water quality distribution map and the time change map of the target area according to the difference trend analysis result to form a comprehensive analysis result; and finally generating a comprehensive water quality pollution assessment report containing water quality traceability information and a comprehensive analysis result. According to the invention, a multi-parameter sensing technology and intelligent data processing are organically combined, so that the water quality of the river is efficiently, accurately and carefully analyzed, and the pollution degree is evaluated.

The present invention discloses a three-dimensional fluorescence portable water quality analyzer for pollution component determination and source tracing, and relates to the technical field of water quality analysis, the analyzer comprises the following components: a sample collection and processing module for collecting a water sample from a to-be-detected water body, filtering to remove impurities, and diluting the water sample according to a self-adaptive dilution multiple algorithm; fluorescence intensity information of a water sample under different excitation wavelengths and emission wavelengths is obtained through the three-dimensional fluorescence detection module, rich three-dimensional fluorescence spectrum data is formed, the real-time fluorescence lifetime imaging module is introduced, and by measuring the fluorescence lifetime of a fluorescent substance and utilizing the principle that different fluorescent substances have different fluorescence lifetime characteristics, the real-time fluorescence lifetime of the water sample is obtained. Various pollution components in the water sample are further distinguished and recognized, the pollution components can be accurately distinguished through fluorescence lifetime measurement and imaging, the accuracy of pollution component judgment is greatly improved, and a reliable basis is provided for accurate treatment of water quality pollution.

The invention relates to the technical field of acidic wastewater titrimetric analysis, and discloses an automatic sampling titrimetric analysis method based on a copper smelting acidic wastewater treatment link, which comprises the following steps: collecting waste acid to obtain a waste acid sample; carrying out titration treatment on the waste acid sample to obtain a waste acid sample image after the titration reaction is finished, and carrying out sediment outline extraction on the waste acid sample image to generate sediment coagulation complexity; according to the method, automatic sampling titration is combined with image analysis, precipitation coagulation complexity and arsenic specific hue separation degree are extracted, a precipitation effectiveness index and an arsenic residue risk coefficient are generated through dynamic fusion, arsenic precipitates and other precipitates in similar forms are accurately distinguished by utilizing precipitate contour features and arsenic specific hue in an HSV color space, and the arsenic content is accurately determined. The method has the advantages that spectral signal superposition interference is avoided, and the arsenic residual state can be accurately reflected, so that whether arsenic removal is qualified or not is reliably judged, the accuracy and safety of waste acid treatment are improved, and the quality of water reuse is guaranteed.

The invention belongs to the technical field of honey analysis, and particularly relates to a method for analyzing characteristic chemical components of Qinling Mountain medium-peak honey. The analysis method comprises the following steps: obtaining different extraction layers, and carrying out mass spectrometry on each layer of sample; constructing a molecular network by mass spectrum data through a GNPS platform, and comparing the mass spectrum data with a database to obtain primary identification; unmatched nodes predict the skeleton by using an NAP tool to obtain a secondary result; then fractions are separated, and an unknown structure is deduced by combining an SMART technology with nuclear magnetism; and finally, synthesizing the three types of results to determine the characteristic chemical components of the honey. Compared with a single chromatography-mass spectrometry technology, the analysis method provided by the invention not only realizes data visualization, but also reduces the dependence of chemical component identification on a database to a certain extent, and provides reference for rapid characterization of chemical components in a honey crude extract or fraction.

The invention provides an analysis method for high-throughput evaluation of tobacco nicotine synthesis capability, and belongs to the technical field of nicotine synthesis capability analys.The analysis method comprises the steps that tobacco seeds are disinfected, germinated and cultured for 14 days to obtain seedlings, the seedlings are transferred to a control medium and an induction medium added with 3 [mu] M of methyl jasmonate to be cultured for 15 days, and the seedlings are obtained; the method comprises the following steps: removing water from an overground part for 15 minutes at 105 DEG C, drying at 65 DEG C until the weight is constant, grinding the overground part into powder, adding a NaOH solution and ethyl acetate containing an internal standard, carrying out vortex mixing uniformly, carrying out ultrasonication for 15 minutes, taking supernate, filtering to obtain sample extract liquor, inputting peak area data into an intelligent prediction model based on a hierarchical weight mechanism, and processing to obtain prediction correction data, the nicotine concentration of a sample is calculated by combining gas chromatography detection with a standard curve, the concentration is corrected by utilizing predicted correction data, finally, nicotine content data is calculated according to the corrected concentration and the dry weight of the sample, and high-precision evaluation of the tobacco nicotine synthesis capability is realized.

The invention discloses a gas analysis method and system for a gas source purification process, and relates to the technical field of gas detection and analysis. The method comprises the following steps: synchronously acquiring optical, electrochemical and conductivity detection signals in a gas source purification pipeline, and combining environmental parameters such as temperature, humidity and flow; carrying out filtering, anomaly elimination and normalization processing on the detection signal, constructing a multi-dimensional feature vector, and carrying out dimensionality reduction to obtain a principal component feature; and dynamically distributing weights through a self-adaptive weighted fusion model, and calculating a gas purification characteristic value. Establishing a drift prediction model based on historical data, inputting environmental parameters and operation duration to calculate a predicted drift amount, and correcting a gas purification characteristic value; when the drift distance exceeds a threshold value or reaches a calibration period, standard gas is introduced to detect the average response value of the drift distance, a calibration coefficient is calculated according to the concentration of the standard gas, the calibration coefficient is fed back and updated to the weighted fusion model and the drift prediction model, and self-correction and high-precision analysis of the gas purification process are achieved.

The invention relates to the technical field of mineralogy, and provides a prediction method for mineral flotation yield. According to the method, the content and dissociation degree of the target minerals under different size fractions are accurately obtained through the technologies of ore grinding, system screening and automatic mineralogy analysis, the yield prediction method based on the mineral selectability physical model is established, the crossing from elements to minerals and from the whole to the size fractions can be achieved, and the yield prediction accuracy is improved. And a brand-new, scientific and reliable technical reference is provided for precise prediction and process optimization of the sulfide ore flotation yield.

The invention discloses a natural gas calorific value test result correction method, system, equipment and medium, and relates to the technical field of natural gas analys.The method comprises the steps that according to the initial calorific value, the carbon dioxide content and the relative density obtained through testing and pressure data and temperature data of a test point, the first nitrogen content is obtained through calculation based on an S-GERG88 state equation; calculating a first calorific value by using the first nitrogen content and the initial calorific value, and performing iterative calculation according to the first calorific value to obtain a second nitrogen content until the absolute value of the difference between the second nitrogen content and the first nitrogen content is smaller than a preset value; determining the first calorific value corresponding to the obtained second nitrogen content as a target calorific value; through an iterative algorithm, the accuracy of a natural gas calorific value test result and a natural gas working condition compression factor calculation result through the laser absorption spectrometry can be greatly improved, and then the path reliability and applicability of natural gas energy metering through the laser absorption spectrometry are improved.

The invention belongs to the technical field of geological sample analysis, and particularly relates to a heavy mineral fidelity pretreatment and morphology automatic characterization method based on artificial intelligence. The method is based on a medium-low hardness heavy mineral fidelity separation and purification technology, an integrated multifunctional target manufacturing technology, a microscopic image intelligent acquisition technology and intelligent identification and feature extraction based on deep learning. The method comprises the following steps: acquiring fidelity heavy mineral particles which maintain the original three-dimensional morphology, are not reset in internal thermosensitive geological records and are not subjected to any systematic deviation screening on population composition, calculating a series of morphological parameters such as an extension coefficient, roundness, color and the like of each heavy mineral particle, and finally outputting a structured quantitative data report. According to the method, multidirectional and intelligent fidelity is realized from the source, and the analysis flux and objectivity are greatly improved by an automatic process, so that systematic and quantitative mineral resource general survey on massive fine particles in a giant deposition system becomes possible.

The invention relates to the technical field of white spirit aroma analysis, discloses a method and a device for evaluating aroma contribution of flavor substances in white spirit, and aims to solve the problems of poor consistency and accuracy caused by incapability of realizing quantitative evaluation in an existing aroma contribution evaluation method. According to the scheme, the method mainly comprises the following steps: pre-constructing a function relationship between compound concentration and aroma intensity score; the method comprises the following steps: acquiring the actual concentration of a compound corresponding to a flavor substance in Baijiu, calculating to obtain an aroma intensity score corresponding to the compound according to the actual concentration and based on a pre-constructed function relationship, and judging the aroma contribution degree of the corresponding flavor substance in the Baijiu according to the aroma intensity score corresponding to the compound. The method realizes quantitative analysis of aroma contribution, improves the consistency and accuracy of analysis, and is suitable for various white spirits.

The invention discloses an electricity larceny detection method based on the directed density ratio of pellets, and belongs to the technical field of power data analysis, and the method comprises the steps: obtaining power utilization data, covering original data through a pellet splitting method, and obtaining the centers and radiuses of the pellets; taking the center coordinates of the pellets as input data, and calculating the local kernel density of the pellets through kernel density estimation and expanded pellet neighbor; calculating the change rate of the directed density ratio of the pellets and the adjacent pellets through the Euclidean distance of the directed density ratio; summing the change rates of the directed density ratios of the pellets under different parameters to obtain the anomaly degree of each pellet, and setting the anomaly degree of the sample points covered by the pellets as the pellet anomaly degree; and judging whether the abnormality of the samples is greater than a threshold value one by one, if so, determining that the samples belong to power consumption data abnormal points, otherwise, determining that the samples are normal data until all the samples are judged. According to the invention, the problem of single granularity of the existing electricity larceny anomaly detection is solved, the abnormal point can be accurately detected, and unsupervised electricity larceny detection is realized.

The invention discloses an electric power system harmonic propagation analysis method and device and a storage medium, and belongs to the technical field of electric power system harmonic analysis, and the method comprises the steps: inputting a to-be-predicted operation condition parameter and a harmonic voltage parameter into a trained regression prediction model, obtaining a corresponding prediction cross admittance matrix, and obtaining a prediction cross admittance matrix; the predicted cross admittance matrix is applied to harmonic propagation analysis of the power system; wherein the regression prediction model is integrated with Bagging based on a decision tree; according to the method, by improving the data set quality and optimizing the model hyper-parameters, the harmonic source cross admittance matrix which is self-adaptive to the operation condition and is established by adopting the decision tree-based regression device and the Bagging element regression device can meet the harmonic analysis precision requirements under different operation conditions, and harmonic propagation of the power system can be analyzed more accurately; the analysis efficiency is improved, and a feasible technical path is provided for online monitoring or rapid evaluation.

The invention discloses a star soil water-ice in-situ quantitative analysis system and method, and belongs to the technical field of planetary science and space exploration, the star soil water-ice in-situ quantitative analysis system comprises a detection platform, and a star soil collection unit and a star soil water vapor heating extraction unit are arranged outside a cabin of the detection platform; a first detection unit, a second detection unit, a control unit and a gas distribution unit are arranged in a cabin of the detection platform; the gas distribution unit is used for distributing the water vapor extracted by the star soil water vapor heating and extracting unit to the first detection unit and the second detection unit for analyzing the content and isotope composition of the water vapor of the star soil; the first detection unit and the second detection unit adopt different detection analysis technologies; and the control unit is used for controlling the detection analysis process of the analysis system. According to the system, an in-situ sampling analysis mode of'quantitative sampling of water-containing star soil, low-loss sample transfer, efficient heating extraction and high-precision instrument analysis' is adopted, so that accurate quantitative analysis of star soil water ice is realized.

The invention discloses a method for measuring the oxidation rate of silver ore, and relates to the technical field of mineral processing and process mineralogy analysis. The determination method comprises the following steps: preparing and segmenting a sample; silver grade calibration and reselection enrichment are carried out, and products with different mineralogical characteristics are obtained; carrying out automatic mineralogical analysis to obtain the type, content and dissemination characteristics of silver minerals; chemical leaching correction coefficient determination, wherein phase state distribution of silver is obtained through stepped chemical leaching, and the correction coefficient is calculated; determining a gangue wrapping correction coefficient, analyzing the silver content of the residue and calculating the correction coefficient; and finally, calculating the silver ore oxidation rate based on the automatic mineralogy analysis data and the correction coefficient. According to the method, through multi-technology fusion and data correction, the accuracy and reliability of measurement of the oxidation rate of the silver ore with low silver mineral content and uneven distribution are remarkably improved, and accurate data support is provided for formulation of a mineral separation process.

The invention relates to the technical field of detection and analysis, and discloses a non-targeted detection method and system for new antibiotic pollutants in a water source. The method comprises the following steps: establishing antibiotic grouping and screening parameters based on a response database, performing full-scanning detection on a water sample to establish a candidate compound list, identifying suspected antibiotics and separating response contribution components through mass spectrum cracking mode matching, and obtaining detection target type and concentration information by combining a concentration-response model. According to the method, the recognition capability of unknown antibiotic compounds in the water sample, the accuracy of multi-component signal separation and the accuracy and adaptability of concentration analysis are improved.

The invention discloses a plot soil pollution condition survey information acquisition and analysis system, relates to the technical field of plot soil information acquisition and analysis, and aims to solve the problem of unclear soil pollution condition analysis. According to the method, abstract sample detection data is converted into a law conclusion with spatial significance through accurate association, standard processing, visual display and deep analysis, the accuracy and systematicness of spatial analysis are ensured, the practicability of a result is enhanced through visualization, and the accuracy and accuracy of the result are improved by combining the spatial distribution law of sample analysis. A pollution core area is delimited for an aggregation area, key parameters are counted, classified implementation of target area, physical and chemical property and pollutant detection is provided for traceability and key treatment, various sample sensors are accurately matched with detection items, a full-dimension detection system of basic attributes and pollution characteristics is formed, and the detection accuracy is improved. The grid point distribution method or the snakelike point distribution method is combined with the marked GPS coordinates, the sampling depth and the serial number, so that the point location distribution is uniform, and the space positioning traceability of the sample is realized.

Disclosed herein is a method and system for analyzing wellbore fluid samples using impedance spectroscopy to identify chemical constituents and detect contaminants. The approach involves collecting fluid samples from a wellbore and performing chemical impedance spectroscopy by applying multiple discrete frequencies of alternating current, generating impedance spectra that are transformed into Nyquist and Bode plots for analysis. A data processing workflow handles raw impedance data through steps of labeling, cleaning incomplete sweeps, temperature thresholding, and temperature compensation to a reference standard. A hybrid modeling approach that integrates physics-based modeling (using a modified Randles circuit) with advanced data analytics techniques (utilizing Gaussian Process Regression) is utilized. Derived electrical properties, particularly susceptance and permittivity, are used to enhance the predictive capabilities of the model. This enables quantitative measurement of contaminants including mud filtrate and various salt types in wellbore fluids.

The invention relates to the technical field of electroplate liquid analysis, in particular to a quantitative analysis method and device for an electroplate liquid additive. The method comprises the following steps: acquiring multi-dimensional electrochemical data of a plurality of groups of electroplating liquid samples; preprocessing the multi-dimensional electrochemical data and extracting multi-dimensional features related to the additive; inputting the multi-dimensional features and the corresponding additive concentration labels into a machine learning model for training, so as to establish a mapping relation between the additive concentration and the electrochemical signal through the machine learning model; and preprocessing electrochemical data of a to-be-detected electroplating solution, extracting multi-dimensional to-be-detected features, and inputting the to-be-detected features into the trained machine learning model to obtain the concentration of the additive in the to-be-detected electroplating solution. By means of the arrangement, the precision and robustness of quantitative analysis can be remarkably improved, and the method can be effectively suitable for electroplating liquid systems with different complexity degrees such as multiple components and high concentration difference.

The invention discloses a trace element content measuring method, and relates to the technical field of metallurgical analysis, the method comprises the following steps: obtaining a plurality of standard reference substances, the matrix components of the plurality of standard reference substances are the same, and the standard contents of the same trace element to be measured in the plurality of standard reference substances are in stepped distribution; under a preset test condition, based on the standard relative sensitivity factor, respectively testing the plurality of standard reference substances through glow discharge mass spectrometry to generate the test content of the to-be-tested trace element; based on the test content and the standard content, determining a calibration proportionality coefficient corresponding to the to-be-tested trace element; based on the calibration proportionality coefficient, calibrating the standard relative sensitivity factor to generate a calibration relative sensitivity factor; and testing the to-be-tested sample through glow discharge mass spectrometry based on the calibration relative sensitivity factor under a preset test condition, and determining the test content of the to-be-tested trace element in the to-be-tested sample.

The invention discloses a method for analyzing the gold occurrence state of a dump leaching sample, and relates to the technical field of mineral processing and process mineralogy analysis. According to the analysis method, through the steps of sample preparation, gold grade calculation and representativeness verification, size grading and enrichment, stepped chemical leaching diagnosis, roasting dissociation and secondary leaching diagnosis, reselection enrichment and precise analysis, occurrence state calculation and the like, the means of reselection, leaching, roasting and the like are systematically combined with a mass balance mathematical model; accurate quantitative analysis of four critical occurrence states of coarse grain gold, leachable gold, wrapped gold and adsorbed gold in the heap leaching process is realized initiatively. The industrial problem that different occurrence states cannot be accurately quantified through a traditional method is solved, and direct and reliable data support is provided for accurate optimization and recovery rate improvement of the dump leaching process.

The embodiment of the invention provides a pollutant source analysis method and device for underground water, equipment and a medium, and relates to the technical field of environmental chemistry analysis. The method comprises the following steps: carrying out water sample collection at candidate pollution source sampling points of target underground water to obtain candidate pollution source water samples, and carrying out water sample collection at downstream sampling points of the target underground water to obtain downstream water samples; wherein the target underground water flows from the candidate pollution source sampling point to the downstream sampling point; performing chemical component feature extraction according to the candidate pollution source water sample to obtain a first chemical feature, and performing chemical component feature extraction according to the downstream water sample to obtain a second chemical feature; performing similarity calculation according to the first chemical feature and the second chemical feature to obtain a target chemical feature similarity; and determining a target pollution source sampling point from the candidate pollution source sampling points according to the target chemical characteristic similarity. According to the embodiment of the invention, the accuracy of pollutant source analysis can be improved.

The invention discloses an automatic analysis device and method for carbon isotope in deep sea water dissolved gas, and relates to the technical field of laser spectrum analysis, the device comprises an automatic sample introduction unit and a laser spectrum detection unit; the automatic sample injection unit is used for automatic sample injection of seawater separation sample gas and sample injection of standard gas; the laser spectrum detection unit is used for executing the functions of spectrum data acquisition, signal-to-noise ratio enhancement, data post-processing and carbon isotope composition calculation; the laser spectrum detection unit comprises three lasers, and the first laser is a methane laser corresponding to a main methane absorption spectral line; the second laser is a methane isotope laser and corresponds to 12CH4 and 13CH4 methane isotope absorption spectral lines; and the third laser is a carbon dioxide isotope laser and corresponds to carbon dioxide isotope absorption spectral lines of 12CO2 and 13CO2. The carbon isotope of methane and carbon dioxide gas dissolved in deep sea water is detected by using an automatic sample injection and automatic measurement method.

The invention discloses a preparation method and a detection method of a total carbon content test solution in titanium tetrachloride, and belongs to the technical field of component detection and analysis. The preparation method and the detection method comprise the following steps: adding water into a titanium tetrachloride sample to fully react, and heating and evaporating the obtained product to dryness at the temperature of not higher than 90 DEG C; then adding a hydrofluoric acid solution and a proper amount of water, heating and dissolving at the temperature of not higher than 80 DEG C to obtain a clear and transparent solution, and adding water to dilute and fix the volume to obtain the solution for testing the total carbon content in the titanium tetrachloride. And fully shaking up the test solution, and then immediately determining the total carbon content in the solution by adopting ICP-MS or ICP-OES (Inductively Coupled Plasma-Mass Spectrometry). The method disclosed by the invention is simple and rapid to operate, small in reagent dosage and low in test solution acidity, and can effectively solve the problems that coexisting components such as high-concentration Cl <-> and H < + > in the TiCl4 sample solution interfere a detection result and corrode an instrument.

The invention belongs to the field of chemical detection, and particularly relates to a method for detecting ethylene oxide, 2-chloroethanol and acetaldehyde in a frozen beverage by solid-phase microextraction gas chromatography-mass spectrometry. The invention relates to a method for detecting ethylene oxide, 2-chloroethanol and acetaldehyde in a frozen beverage by solid-phase microextraction gas chromatography-mass spectrometry, which comprises the following steps: S.1) taking a frozen beverage sample to be detected, homogenizing and uniformly mixing; s.2) weighing a certain amount of sample, and adding sodium chloride and hydrochloric acid; s.3) determining the sample by adopting a solid-phase microextraction gas chromatography-mass spectrometry method; and S.4) quantitatively analyzing the contents of ethylene oxide, 2-chloroethanol and acetaldehyde in the frozen drink sample to be detected by adopting an external standard method. According to the method disclosed by the invention, the derivatization reaction and the solid-phase microextraction process are combined into one, and the difficulties of complicated pretreatment, long time consumption, low accuracy, unstable result, high detection limit and the like in the traditional analysis technology are overcome. Meanwhile, the precision of a detection result is high, the influence of a complex matrix is removed, and the reproducibility is good.

The invention relates to the technical field of cooling liquid characteristic analysis, and discloses a cooling liquid characteristic analysis and evaluation method, system, equipment and medium, and the method comprises the steps: collecting the characteristic data of cooling liquid and the related operation data of the equipment in real time, and carrying out the first processing; performing multi-dimensional feature extraction on the data subjected to the first processing to obtain a cooling liquid comprehensive performance index and a material compatibility risk score; the cooling liquid is grouped through a first clustering algorithm, high-cost-performance candidate liquid is identified, and the long-term performance attenuation trend of the cooling liquid is predicted; and generating a cooling liquid performance evaluation report based on an analysis result, and providing real-time monitoring, early warning and optimization suggestions. According to the method, scientificity and reliability of cooling liquid type selection are remarkably improved, the problem of balance among heat dissipation efficiency, material compatibility and environmental protection of a traditional evaluation method is effectively solved, and a scientific basis is provided for data center liquid cooling system design, cooling liquid type selection and operation and maintenance standard formulation.

The invention relates to the technical field of component content analysis, in particular to a method and system for detecting the content of volatile organic compounds in a curing agent, and the method comprises the following steps: determining gas transmission delay according to the no-load operation process of a target tunnel type oven; determining a comprehensive physical reference coefficient according to the physical volatilization operation process of the target tunnel type drying oven without chemical reaction, the gas transmission delay and an Antow empirical formula; determining a current molar evaporation enthalpy and a current pre-exponential factor; determining a physical volatilization benchmark reference value by combining the alignment temperature data at the current moment; and detecting the content of the organic volatile matters in the curing agent according to the physical volatilization benchmark reference value and the actually measured gas concentration data of each curing reaction temperature zone at the current moment. By analyzing the no-load operation process, the physical volatilization operation process without chemical reaction and the current curing reaction operation process of the tunnel type drying oven, the content of the volatile organic compounds in the curing agent is detected, and the detection accuracy is improved.

The present application relates to water quality detection and analysis technical field, specifically to a kind of water total phosphorus multi-parameter synchronous detection method based on water, comprising: after the original water sample is pretreated, the standard test solution obtained is simultaneously introduced into parallel digestion tank and optical cell, and the digestion and conversion of phosphorus compound and the collection of water sample background spectrum are completed synchronously.Digestion liquid is distributed to multiple independent color developing channels, each channel uses characteristic color developing agent configured for different concentration interval or interference condition, concurrent color developing reaction is carried out under the same environment, and the reaction kinetics time sequence spectrum of each channel is collected.The background spectrum and all kinetic spectrum sequences are input into integrated calibration model for data fusion and cross analysis, and total phosphorus content detection result is directly output.The method realizes wide concentration range, high anti-interference capability of water total phosphorus rapid and accurate detection by parallel acquisition of homologous background information and multi-reaction channel kinetic data.

The utility model relates to the technical field of cold box interlayer gas oxygen content analysis, in particular to a cold box interlayer gas oxygen content on-line analysis device which comprises a sampling pump, a three-way electromagnetic valve, a pretreatment box, an analysis instrument and a control system, wherein the sampling pump is used for pressurizing and introducing interlayer gas of the cold box into the analysis device; the analysis instrument is used for analyzing the oxygen content in the pretreated gas; the three-way electromagnetic valve is arranged between the sampling pump and the analysis instrument and is used for remotely switching and analyzing the waste nitrogen and the cold box interlayer gas; the pretreatment box is connected between the three-way electromagnetic valve and the sampling pump. Through remote switching of the three-way solenoid valve and automatic logic setting of the DCS, online intelligent analysis of the oxygen content of the interlayer gas of the cold box is achieved, and the analysis accuracy and efficiency are improved; and an operator can finish the analysis work of the waste nitrogen and the interlayer gas of the cold box without frequently and manually switching an analysis instrument, so that the operation burden is reduced.

The present application belongs to the technical field of medicinal material detection and analysis, and particularly relates to an integrated detection method for free anthraquinone quantification and authenticity identification of rhubarb medicinal materials. The present application solves the problem of simultaneous free anthraquinone quantification and authenticity identification of rhubarb by determining rhubarb mixed control solution and test solution respectively through one-dimensional and two-dimensional reverse phase chromatography. Compared with the traditional HPLC and TLC combined method, the present application simplifies the pretreatment, improves the sensitivity and specificity, shortens the analysis time, avoids the use of volatile toxic reagents, and the results are more intuitive. The methodological verification shows that the present application has good specificity, precision, accuracy and linear relationship, and is suitable for quality control and authenticity identification of rhubarb.