784 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 discloses a pollution space analysis method and system based on atmospheric pollution concentration data, and particularly relates to the technical field of data analysis. A high-precision pollutant concentration spatial distribution model is constructed by combining pollutant diffusion characteristics and geographic information, and regional pollution differences are revealed; identifying a pollution source emission mode and analyzing the evolution trends of pollutants in different time and space ranges by matching spatial and temporal change analysis with a pollution source emission list; the influence of real-time meteorological data on pollution diffusion is analyzed, and a pollutant spatial distribution model is adjusted, so that the prediction precision is improved; pollution concentration distribution, pollution source emission and meteorological influence are combined, pollution hot spot areas are accurately identified, future pollution evolution conditions are analyzed and predicted based on historical trends, scientific and reasonable pollution treatment suggestions are provided, the limitation of traditional interpolation and statistical regression models is broken through, dynamic and accurate modeling of pollutant concentration is achieved, and the method is suitable for large-scale popularization and application. And the scientificity of pollution source tracing and treatment decision making is improved.

The invention relates to the technical field of cross-modal data fusion analysis of soil component detection and improvement agent preparation, in particular to a preparation method of a soil improvement agent based on component detection, which comprises the following steps: acquiring soil component data through a near infrared spectrometer, a high performance liquid chromatograph and an inductively coupled plasma mass spectrometer; an incremental principal component analysis algorithm is combined with an oscillation suppression function to update a covariance matrix in real time, a dynamic defect factor priority list is generated, a multi-objective optimization model improved based on NSGA-II is guided to integrate the soil pH value, humidity and organic matter content to construct a dose response curved surface, and a Pareto optimal solution set is solved. A sensor array collects environment feedback data, drives a transfer learning algorithm to calibrate parameters, a dynamic incidence matrix attenuation rate and optimal weight adaptive adjustment, iteratively outputs a modifier synergistic effect solution set through a closed-loop control mechanism, and solves the problems of difficult data fusion, principal component weight offset and component synergistic deviation. And the proportioning accuracy and stability are improved.

The present invention relates to the technical field of molecular interaction analysis, and specifically provides a method for analyzing intermolecular interactions. The method comprises the following steps: using a rare earth material with a ligand molecule modified on its surface as an upconversion material, contacting the upconversion material with a target molecule in a solution system, irradiating the solution system with excitation light that matches the rare earth material, and continuously changing the intensity of the excitation light actually received by the upconversion material as the target molecule continuously binds and dissociates with the ligand molecule of the upconversion material in a dynamic process, thereby changing the intensity of the emitted light. By recording the curve of the emission light intensity changing with time, the molecular interaction kinetic constants, such as the binding rate constant (K on ), dissociation rate constant (K off ) and affinity (K D ), etc., which solves the technical problems of low accuracy of existing BLI technology and high cost of SPR technology. Based on the above principles, the present invention has also developed a series of experimental consumables, kits, sensors and analytical devices for molecular interaction analysis.

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.

A sequence of polymer units in a polymer (3), eg. DNA, is estimated from at least one series of measurements related to the polymer, eg. ion current as a function of translocation through a nanopore (1), wherein the value of each measurement is dependent on a k-mer being a group of k polymer units (4). A probabilistic model, especially a hidden Markov model (HMM), is provided, comprising, for a set of possible k-mers: transition weightings representing the chances of transitions from origin k-mers to destination k-mers; and emission weightings in respect of each k-mer that represent the chances of observing given values of measurements for that k-mer. The series of measurements is analysed using an analytical technique, eg. Viterbi decoding, that refers to the model and estimates at least one estimated sequence of polymer units in the polymer based on the likelihood predicted by the model of the series of measurements being produced by sequences of polymer units. In a further embodiment, different voltages are applied across the nanopore during translocation in order to improve the resolution of polymer units.

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 belongs to the technical field of chemical analysis of metallurgical standard samples, and discloses a super duplex stainless steel spectrum standard sample with high quality, high uniformity, high stability and accurate fixed value and a development method thereof. The method comprises the following steps: component design and raw material proportioning, smelting and casting, forging and homogenization treatment, primary inspection of uniformity and sample processing, uniformity inspection, constant value analysis and mathematical statistics, determination of characteristic values of standard samples, stability analysis of the standard samples after long-term storage, and traceability guarantee measures. The super duplex stainless steel spectrum standard sample comprises the following components in percentage by mass: 25%-26% of Cr, 6.50%-7.50% of Ni, 3.50%-4.50% of Mo, 0.23%-0.27% of N, 0.5%-1.0% of Cu, 0.5%-1.0% of W, and the balance of iron and inevitable impurities, and the content of trace elements including sulfur, aluminum and boron is controlled in a specific ppm level range.

The invention relates to the technical field of section analysis of printed circuit boards, in particular to a section analysis method for PCB positioning cutting, a target abnormal area is positioned on a PCB through an optical microscope, the optical microscope not only can observe the morphology of the surface layer of a sample, but also can observe the morphology within a certain range below the surface layer, and the accuracy of section analysis is improved. And meanwhile, the optical microscope is very sensitive and accurate in color identification, so that compared with the prior art in which the target abnormal area is positioned on the PCB through a scanning electron microscope, the target abnormal area can be more effectively positioned on the PCB, and the purpose of reducing the positioning difficulty of the target abnormal area is achieved. Besides, the positioning layer and the protection layer are deposited in the target abnormal area, so that the cross section sample can be prevented from being physically and chemically damaged in the cutting process on the basis of improving the cutting precision of the cross section sample, and the failure analysis precision of the PCB is improved.

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 cadmium element analysis, in particular to a biological available cadmium content determination method for soil detection. According to absorbance distribution of different samples under stable correlation wavelengths and cadmium element concentration difference, the cadmium element influence degree of each stable correlation wavelength is obtained, and high-influence wavelengths are screened out; constructing a univariate regression model by using the absorbance of the cadmium standard solution under each high-influence wavelength and the cadmium element concentration, sequentially screening corresponding optimal variables in the high-influence wavelengths based on an AIC forward selection method, and iteratively adding the optimal variables into an empty model to obtain a final cadmium detection model; and obtaining a variable coefficient of a final cadmium detection model according to the absorbance of different samples and cadmium standard solutions under different high influence wavelengths and the corresponding cadmium element influence degrees. By analyzing the influence degree of cadmium elements of different wavelengths, a proper cadmium detection model is constructed, and the accuracy of effective-state cadmium content determination is improved.

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 present disclosure describes methods of administering N-acetylcysteine (NAC) via intranasal nose-to-brain administration. The effect of intranasal NAC nose-to-brain administration can be monitored using an analytical technique, for example, magnetic resonance spectroscopy (MRS). In some embodiments, intranasal nose-to-brain NAC can be used to treat a condition, for example, a brain injury.

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 a method for qualitatively identifying oxidation stability of an atorvastatin calcium bulk drug by adopting a multispectral fusion technology, and belongs to the technical field of detection analysis, and the method comprises the following steps: S1, preparing amorphous atorvastatin calcium; s2, grinding, screening, mixing and tabletting the atorvastatin calcium raw material medicine with the crystal form I and the amorphous atorvastatin calcium; s3, detecting the tabletting sample to obtain near infrared spectrum data and Raman spectrum data; s4, performing feature extraction on the near infrared spectrum data and the Raman spectrum data, fusing near infrared spectrum features and Raman spectrum features, and establishing a mathematical model of the fused features after standardization treatment and amorphous atorvastatin calcium content data in the mixed sample; and S5, establishing classification boundaries of oxidability and oxidation stability by using a plurality of atorvastatin calcium samples with known oxidation stability, and identifying the oxidation stability of the unknown atorvastatin calcium sample to be detected according to the classification boundaries by using the mathematical model established in S4.

The invention discloses a traditional Chinese medicine analysis and identification method and system based on clustering analysis, and relates to the technical field of traditional Chinese medicine analysis, and the method comprises the following steps: S1, collecting a chemical fingerprint spectrum, a microscopic image, metabonomics data and geographical indication information of a traditional Chinese medicine sample; according to the traditional Chinese medicine analysis and identification method and system based on clustering analysis, through a dynamic weight distribution mechanism and a high-order nonlinear collaborative characterization technology, the core problem of multi-modal data fusion failure in traditional Chinese medicine identification is effectively solved; the dynamic weight distribution network adaptively adjusts the contribution degree of each modal based on real-time entropy fluctuation and sample density, so that the identification precision under complicated scenes such as related species and processed product difference is remarkably improved; the high-order tensor fusion space is combined with adversarial generation training, the characterization limitation of a linear kernel function on component-form-effect nonlinear correlation is broken through, and the clustering boundary better fits the overall characteristics of traditional Chinese medicine.

The invention discloses a water quality pollution monitoring system and method, and relates to the field of water quality pollution monitoring. The system comprises a region division and sampling point layout module, a deviation analysis module, a first monitoring region analysis module and a second monitoring region analysis module, the region division and sampling point layout module analyzes the pollution source characteristics of the to-be-monitored region, reasonably divides the monitoring region and arranges sampling points; the deviation analysis module is used for performing deviation analysis on data of adjacent sampling points after water quality samples are collected, so as to ensure the accuracy and consistency of the data; the first monitoring area analysis module is combined with a water quality fluorescence fingerprint analysis technology to carry out matching and tracing on a known pollution source and accurately identify the position of the pollution source; and the second monitoring area analysis module gradually confirms the specific position of the pollution source by analyzing the water sample flowing path.

The invention relates to the technical field of ore raw material analysis, and discloses an intermediate fusion strategy ore sample classification method based on random model combined data, and the method comprises the following steps: S1, collecting LIBS spectrum and Raman spectrum data of a manganese ore sample; s2, preprocessing the spectral data; s3, performing dimensionality reduction on the preprocessed LIBS and Raman data by adopting principal component analysis; s4, splicing the feature matrixes after dimension reduction to construct an intermediate fusion data set; s5, training a random forest classification model based on the intermediate fusion data set; and S6, carrying out classification and identification on the manganese ore samples by utilizing the trained model. According to the method, metal element characteristic spectral lines captured by the LIBS spectrum and molecular vibration characteristics identified by the Raman spectrum are organically integrated through an intermediate fusion strategy, two-dimensional identification is achieved, redundant information is effectively eliminated while main characteristics of the spectrum are reserved, and the accuracy and reliability of manganese ore sample classification are remarkably improved.

The utility model belongs to the technical field of on-line analysis of tail gas emission, and particularly relates to a stable-pressure sampling device of an FTA analyzer. Comprising a sampling probe, a high-temperature electric heat tracing integrated pipe cable, a stop valve, a bypass filter, a sample injection pressure reducing valve, a sample injection needle valve, a sample injection pneumatic valve, a sample injection pressure transmitter, a bypass flowmeter, an instrument air pressure reducing valve, an I / P controller, a PID control unit, an FTA analyzer, a box body heater, a pretreatment heat preservation box and the like. According to the pretreatment pressure stabilizing system disclosed by the utility model, through the design of the connection relation among the structures of the pretreatment pressure stabilizing system, pressure stabilizing sampling can be realized under the condition of pipeline pressure fluctuation, and the measurement accuracy of real-time monitoring of chemical tail gas is improved.

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 gas chromatographic analysis device and a gas chromatographic analysis method, and relates to the technical field of detection and analysis. The gas chromatographic analysis device comprises a sample injector, a column oven and a detector. The sample injector comprises a plurality of sample injection pipelines; a plurality of chromatographic columns and a conduction device are arranged in the column oven, each chromatographic column is provided with a sample inlet end and a sample outlet end which are oppositely arranged, and the plurality of sample inlet ends are correspondingly communicated with the plurality of sample inlet pipelines; the conduction device comprises a plurality of input ends and an output end, and the plurality of input ends are correspondingly communicated with the plurality of sample outlet ends; the detector is communicated with the output end; the plurality of chromatographic columns are arranged to be chromatographic columns with at least two polarities. Continuous detection and analysis can be realized only by selecting the corresponding sample inlet, so that the long-term use and maintenance cost is reduced, and the risk of simultaneous sample injection of a plurality of chromatographic columns due to improper valve switching is reduced.

The invention discloses an ethylene oxide detection and analysis method, which belongs to the technical field of detection and analysis, and comprises the following steps: weighing a sample to be detected, adding deuterated internal standard ethylene oxide-D4, and dissolving the sample with a low-temperature mixed solvent to obtain a sample solution; uniformly mixing the sample solution, adding a purifying material for purifying, uniformly mixing and centrifuging to obtain supernate; putting a part of the supernate into a small solid-phase microextraction bottle, adding sodium chloride, and uniformly mixing to obtain a solution to be detected; placing the small solid-phase microextraction bottle filled with the solution to be detected on a gas chromatograph-tandem mass spectrometer with a CTC automatic solid-phase microextraction sampling device, and extracting and detecting the prepared solution to be detected; and analyzing the data acquired by the mass spectrum by utilizing Agilent MassHunter data processing software. According to the method, volatile components in a sample are enriched, concentrated and then detected, the residual amount of ethylene oxide in the fat-soluble plant extract can be directly and quantitatively analyzed, the sensitivity is high, and the accuracy is good.

The invention discloses a method for determining and analyzing primary and secondary elements in dolomite and magnesite based on ICP-AES (Inductively Coupled Plasma-Atomic Emission Spectrometry), and relates to the technical field of determination and analysis of the primary and secondary elements, the method comprises the following steps: obtaining determination samples of the dolomite and the magnesite, pretreating the determination samples, obtaining spectral line interference conditions of each element based on the determination samples, and determining the spectral line interference conditions of the elements based on the spectral line interference conditions; the method comprises the following steps: pre-processing measured data, drawing a calibration curve of each element, obtaining the interference condition of the calibration curve of each element, and carrying out ICP-AES measurement on the pre-processed measured data to obtain a characteristic spectral line. According to the method, the source and the influence degree of the interference spectral line are determined by analyzing the spectral line interference condition, then targeted measures are adopted for correction, and meanwhile, concentration measurement deviation caused by chemical interference, physical interference, ionization interference and other factors is found by evaluating element concentration interference factors, so that the accuracy of the concentration measurement is improved. And correction is carried out by means of optimizing a sample pretreatment method, adjusting instrument working conditions and the like, so that the reliability and the stability of the analysis method are improved.