78 results about "Relative standard deviation" patented technology

The invention belongs to the technical field of gas analysis, and relates to a surface-enhanced Raman scattering flexible substrate material as well as a preparation method and application thereof. The surface-enhanced Raman scattering flexible substrate material comprises a three-dimensional network structure and silver nanoparticles, the three-dimensional network structure is composed of hydroxypropyl methyl cellulose nanofibers, the silver nanoparticles are wrapped in the hydroxypropyl methyl cellulose nanofibers, and the silver nanoparticles are of a polyhedral structure. The surface-enhanced Raman scattering flexible substrate material is used for detecting thiol compounds in a solution, and the detection limit can reach 10 <-19 > M level; after the surface of the silver nanoparticle is modified with the probe, the material can detect trace substances in exhaled air. In addition, after the material is stored for 6 months at room temperature, the SERS signal intensity attenuation is less than or equal to 4%, and the relative standard deviation detected by 20 random sites is only 4.04%.

The invention discloses a regional wind speed meteorological reference station representativeness evaluation method based on a correlation function field, a medium and a program product. The regional wind speed meteorological reference station representativeness evaluation method comprises the following steps: collecting multi-year day-by-day wind speed data of a high-density meteorological observation station in a target region and environment information of the observation point; selecting an independent sample of day-by-day wind speed data in each same time period in the region; establishing a correlation function field between every two stations, and fitting a relation model of correlation functions and distances; estimating a standardized observation random mean square error; calculating the relative standard deviation generated by replacing the target point wind speed truth value data with the reference station wind speed observation data; and evaluating the excellent grade of the spatial distance range represented by the wind speed of the reference station. The method can achieve the good representative evaluation of the reference station in the distance range, and has important practical values for the selection of a reliable meteorological reference station in the climate feasibility demonstration of wind power development site selection, urban and rural construction planning and the like, the evaluation of extreme climate risks and the calculation of the accuracy of engineering meteorological parameters.

The invention provides an electromechanical equipment heat dissipating capacity field measurement device and method, and relates to the technical field of heat measurement, and the electromechanical equipment heat dissipating capacity field measurement method comprises the steps that an exhaust fan and a simulation heat source are started, and a data collection unit receives measurement data obtained through measurement of a temperature sensor, a pressure sensor and a mass flow meter; and after judging that the precision of the electromechanical equipment heat dissipating capacity field measurement device reaches the standard, closing the simulated heat source, starting the electromechanical equipment to be measured, and after thermal stability balance is achieved, calculating the heat dissipating capacity of the electromechanical equipment to be measured through measurement data of the electromechanical equipment in the latest N seconds. By judging that the relative standard deviation of the heat dissipating capacity in the latest N seconds does not exceed 1% and the relative average rising or falling rate of the heat dissipating capacity does not exceed 0.01%, it is considered that the electromechanical equipment heat dissipating capacity field measurement device reaches thermal stability balance, the situation that the heat dissipating power is slowly increased or reduced can be distinguished, the situation that the device enters the thermal stability state mistakenly in advance is avoided, and the measurement accuracy is improved. And errors of measurement results are reduced.

The application discloses a raw coal pore detection method, device, system and medium based on nuclear magnetic resonance. The method comprises the following steps: obtaining relaxation time distribution data of each coal sample based on nuclear magnetic resonance T2 test; obtaining total integral areas of a plurality of nuclear magnetic resonance T2 spectra corresponding to each coal sample based on the relaxation time distribution data of each coal sample; performing statistical analysis on the relative standard deviation of the total integral areas of each coal sample to obtain the relative standard deviation corresponding to each coal sample; and determining the coal sample parameters of a target coal sample for detecting the pore structure of the raw coal according to the coal sample parameters of the coal sample corresponding to the relative standard deviation satisfying the preset condition. The raw coal pore detection method provided by the application can determine the target coal sample by selecting the coal sample parameters of the coal sample satisfying the preset condition, so that the result of the nuclear magnetic resonance T2 test for detecting the pore structure of the raw coal is more accurate and stable.

The invention relates to an underwater gamma-ray energy spectrum repeatability analysis method and device and a storage medium. The method comprises the following steps: acquiring a gamma-ray energy spectrum group measured underwater; performing spectrum unfolding on the gamma-ray energy spectrum group based on a Gold iterative deconvolution spectrum unfolding algorithm to obtain energy of gamma incident rays; solving a peak value and a peak area of the gamma-ray energy spectrum group by adopting a gravity center method; determining a first relative standard deviation corresponding to the peak value and a second relative standard deviation corresponding to the peak area; and determining the repeatability of the gamma-ray spectrum group based on the first relative standard deviation and the second relative standard deviation. According to the method, the background is deducted in a spectrum unfolding mode on the basis of the Gold iteration deconvolution spectrum unfolding algorithm, then the peak value and the peak area are calculated, the background deduction error is reduced, the repeatability is improved, meanwhile, the Gold iteration deconvolution spectrum unfolding algorithm reduces the measurement time, and the measurement accuracy is improved. Therefore, the technical effects of reducing the error of background deduction and improving the repeatability based on the Gold iteration deconvolution spectrum unfolding algorithm are realized.

A kind of TiO2 core Ag satellite hybrid super nanostructure preparation and sisomicin SERS detection application, it is related to the field of analysis and detection, first TiO2 microsphere surface modification, by electrostatic adsorption Ag nanoparticles, synthesis a kind of TiO2 core Ag satellite hybrid super nanostructure, can be used as SERS substrate detection sisomicin, by charge transfer mechanism between core and satellite, greatly improve the detection sensitivity of sisomicin.Under the optimal experimental conditions, the linear detection range of sisomicin is 10 ‑5 ~10 ‑11 M, the detection limit is 7.12× 10 ‑12 M, the relative standard deviation of SERS intensity is less than 10%;The method is simple, accurate and high sensitivity, without complex operation technology, meet the requirements of large quantities and rapid analysis and detection.

The invention discloses an MIP / CoNiFe-PBA / RGO / GCE working electrode as well as a preparation method and application thereof, and belongs to the technical field of food safety detection.The prepared CoNiFe-PBA-based self-reporting type molecularly imprinted electrochemical sensor has the following outstanding performances when detecting BPA: the detection limit is as low as 0.18 nM (S / N = 3), the linear range is 1.0-500.0 nM, and in a milk sample labeling recovery experiment, the detection limit is as low as 0.18 nM (S / N = 3), and the detection limit is as low as 0.18 nM (S / N = 3). The recovery rate is 97.18 to 102.96 percent, and the relative standard deviation is 1t; the current retention rate is 93.81% (n is equal to 3) for 100 nM BPA detection in a continuous 15-day water immersion test (0.1 M PBS, pH 7.4) under the room temperature, and the signal attenuation is 8.6% after 10 times of continuous use, and the current retention rate is 93.81% (n is equal to 3) for 100 nM BPA detection.

The invention relates to the technical field of instrument measuring range expansion, in particular to an instrument measuring range intelligent expansion optimization method based on sample dilution, which comprises the following steps: acquiring an effective measuring range threshold value through an intelligent sensor, counting relative standard deviation and signal-to-noise ratio of a concentration interval in the measuring range, and acquiring a precision distribution curve; performing original sample test on a to-be-tested sample, directly detecting if a response value is within a range, starting an intelligent prediction model according to pollutant types and matched dilution parameters of the to-be-tested sample if the response value exceeds the range, and predicting a recommended dilution multiple according to initial test signal intensity and the sample; when the prediction confidence is lower than a threshold value, triggering gradient scanning; carrying out parallel sample measurement on the diluent to calculate relative standard deviation, executing two adjacent dilution multiples if the distance difference between the diluent and the segmented boundary is smaller than a threshold value, and carrying out mutual verification through concentration consistency of an overlapping region; and performing full-process detection on different dilution multiples, establishing a dilution correction model, updating a correction coefficient of the dilution multiples, and updating a range boundary and a precision distribution curve.

The invention provides a method for detecting the content of zinc in a lithium-zinc binary alloy strip based on ICP-OES, and belongs to the technical field of metal material component analysis. According to the method, the lithium matrix is separated by adopting a nitric acid-perchloric acid digestion system, and the stock solution is diluted by 500 times, so that the concentration of the lithium matrix can be efficiently reduced, meanwhile, the signal inhibition effect is effectively eliminated by combining lithium salt matching, and the detection precision is greatly improved. According to the method, Zn 213.856 nm analysis spectral lines are carefully selected, RF power is optimized, spectral interference of other elements can be avoided, the linear range can be expanded, and the method is suitable for rapid determination of the zinc content of 1%-20%. According to the method, the detection limit can reach 0.01%, the relative standard deviation is smaller than or equal to 1.0%, the recovery rate is 98.5%-101.2%, and high-precision detection is achieved.

The invention relates to a paper literature deacidification effect evaluation method based on an anhydrous liquid phase, which comprises the following steps: setting an effectiveness index and a safety index, obtaining each index value of a deacidified paper sample by adopting a corresponding detection method, and comparing the values with a preset threshold value to realize evaluation of the deacidification effect. The effectiveness indexes comprise pH, alkali reserves, deacidification uniformity, polymerization degree and zero-distance tensile strength, and the safety indexes comprise chromatic aberration, appearance deformation and deacidification liquid safety; the deacidification uniformity is evaluated through the distribution uniformity of alkali reserves, and the distribution uniformity of the alkali reserves is that the relative standard deviation of the alkali reserves of a plurality of parts of the paper sample is less than 30%, and the alkali reserves of each part are 0.12-0.60 mol / kg. According to the method, systematic and comprehensive evaluation on the deacidification effect is realized, a clear standard can be provided for industrial admission of deacidification materials and processes, invalid or harmful deacidification treatment is avoided, development of a deacidification repair technology is promoted, and long-term storage and safe utilization of paper documents are realized.

The invention provides a method for rapidly detecting the content of theophylline in plasma, urine, medical sewage and functional beverages. According to the method, aiming at theophylline analytes in different samples, firstly, the samples are pretreated by adopting a liquid phase microextraction (LPME) technology, and then the pretreated theophylline is detected by adopting liquid phase-tandem mass spectrometry (LC-MS / MS). According to the method, an external standard method is adopted for quantification, the established method is good in linearity, the linear range is 0.01-10 mg / L, the correlation coefficient of theophylline is larger than 0.999, the detection limit is 0.2 microgram / L, the quantification limit is 0.7 microgram / L, the adding standard recovery rate is 86.7%-111.3%, and the relative standard deviation is smaller than 9%. The method is easy to operate and convenient to use, has the advantages of being good in accuracy, high in precision and sensitivity and the like, and provides a reliable method for rapid detection of theophylline in various actual scenes such as medical treatment, market supervision and environment monitoring.

The invention discloses a method for detecting the content of sulfate radicals in gallium waste liquid, which is characterized in that the sampling amount is reduced from original 10mL to 5mL, the addition amount of concentrated hydrochloric acid is adjusted from 20mL to 5mL, and the pH value of the system is still maintained at 1-2 after the reaction is complete; the barium chloride solution keeps the original procedure dosage (20mL 10%), barium sulfate is ensured to be completely precipitated, and the steps of filtering, washing, firing and weighing are completed according to the original procedure after precipitation. Multiple parallel tests verify that the relative standard deviation of the method is smaller than or equal to 3%, and the production detection precision requirement is met; the method is compatible with the existing standard operation process of an enterprise, adapts to the characteristic of high concentration of gallium waste liquid sulfate radicals, does not need to add equipment or extra training, and can be directly applied to the ground.

The invention relates to the technical field of organic matter detection, in particular to a 4-tert-butyl cyclohexanol cis-trans isomer separation and detection method and application thereof. Aiming at the separation problem caused by similar physicochemical properties of cis-isomers and trans-isomers, efficient separation of the 4-tert-butyl cyclohexanol cis-isomers and trans-isomers is successfully realized by adopting an RB-5 type chromatographic column under specific chromatographic conditions, and quantitative analysis is realized by combining an internal standard method. Experimental results show that the linear fitting degree of a standard working curve reaches 99.9% (R2), the adding standard recovery rate is 97.6%-102.3%, and the relative standard deviation (RSD) of repeated measurement (n = 5) is less than or equal to 1.8%, which indicates that the method has good repeatability and accuracy. The detection method not only solves the problem of separation of cis-trans isomers of 4-tert-butylcyclohexanol, but also has the advantages of simplicity and convenience in operation and short time consumption, and has higher practical application value.

The application discloses a kind of algorithm for reducing the relative standard deviation of neutron multiplicity measurement, it is related to nuclear material measurement technical field, the method includes the following steps: S1, when neutron pulse reaches detection system, neutron pulse is pre-delayed;S2, after pre-delaying, neutron pulse enters true coincidence pulse window, the pulse number in window is recorded, and true multiple coincidence neutron pulse count R+A that is superimposed with accidental multiple coincidence pulse is obtained;S3, neutron pulse passes through long delay queue, enters accidental coincidence pulse window, and the pulse number in window is recorded, and accidental multiple coincidence neutron pulse count A is obtained;S4, to neutron pulse, the R+A and A value corresponding to each pulse are carried out multiplicity statistics in steps S1-S3, and the multichannel statistics diagram of R+A and A is obtained;S5, R+A and A are subtracted after being counted, and true multiple coincidence neutron pulse count R distribution is obtained.The method provided by the application can effectively reduce the volatility of neutron multiplicity measurement result, improve the measurement accuracy of equipment.

The invention belongs to the technical field of hexavalent chromium detection, and particularly relates to a method for detecting hexavalent chromium in tipping paper for cigarettes by adopting HPLC-ICP-MS. The method comprises the steps of sample pretreatment, HPLC-ICP-MS measurement and obtaining of the hexavalent chromium content of a sample. The analysis and test method disclosed by the invention is simple and convenient in pretreatment operation, efficient, high in precision and high in result accuracy, and meets the test requirements of a target object. The target object shows a good linear relationship (r2gt; 0.999) in a concentration range of 0.00 [mu] g / L-5. 0 [mu] g / L; the detection limit and the quantitative limit value are relatively low and are 0.61 mu g / kg and 2.02 mu g / kg respectively; in a precision test, the relative standard deviation is less than 5%; in an accuracy test, the adding standard recovery rate of the sample is 90.0%-94.6%, and the method is relatively high in accuracy and can meet test requirements.

The invention discloses a laser-induced breakdown spectroscopy analysis method and device based on parameter matching. The method comprises the following steps: acquiring a plurality of characteristic spectra; calculating the plurality of characteristic spectrums to obtain a plurality of plasma temperatures and a plurality of plasma electron densities corresponding to the calibration sample, and calculating to obtain a plasma temperature relative standard deviation and a plasma electron density relative standard deviation corresponding to the calibration sample; screening the plurality of plasma temperatures and the plurality of plasma electron densities to enable the corresponding relative standard deviations to meet preset conditions, and obtaining a screened plasma temperature subset and a screened plasma electron density subset; constructing characteristic spectrums corresponding to the screened subsets into characteristic spectrum subsets; and constructing a target characteristic calibration model based on the characteristic spectrum subset, wherein the target characteristic calibration model is used for calibrating a plurality of characteristic spectrums corresponding to the to-be-detected sample with unknown target characteristics. Therefore, the accuracy and precision of quantitative analysis on the sample can be improved.

The multi-dimensional plasmonic coupling system based on Ag@PVP and Au@Ag NCs for surface-enhanced Raman spectroscopy (SERS) detection of gentamicin relates to the field of analytical detection, and adopts hydrothermal synthesis to prepare Ag@PVP core-shell nanoparticles and Au@Ag core-shell cubes (Au@Ag NCs). Ag@PVP is induced to agglomerate by gentamicin, and then Au@Ag NCs are introduced to change the electromagnetic field of the nanoparticle agglomeration, so as to change the Raman characteristic peaks of gentamicin and distinguish it from its homologues. Under the optimized experimental conditions, the linear detection range of gentamicin is 10 ‑5 ~10 ‑9 M, the detection limit is 6.23 × 10 ‑10 M, and the relative standard deviation of SERS intensity is less than 10%. The method has the advantages of simple operation, high accuracy and sensitivity, and does not need complex operation technology, and meets the requirements of large quantities and rapid analysis and detection.

The invention provides a method for detecting the content of urea in a water sample by using high performance liquid chromatography. The method comprises the following steps: preparing a urea standard solution; performing filter membrane filtration pretreatment on the to-be-detected water sample; carrying out high performance liquid chromatography analysis according to optimized chromatographic conditions, and calculating the urea content by adopting a standard curve method; wherein the chromatographic conditions are as follows: a C18 type reversed-phase chromatographic column is adopted, a mixed solution of acetonitrile and ultrapure water is adopted as a mobile phase, isocratic elution is performed, and the detection wavelength is 190-200nm. According to the method, the mobile phase and the chromatographic column are improved, the urea content in the water sample is directly and accurately detected, operation is easy and convenient, the detection time is short, good specificity and stability are achieved, the detection limit is lower than 0.6 microgram / L, the recovery rate ranges from 95% to 105%, the relative standard deviation is smaller than 2%, and the method can be effectively applied to detection and analysis of the urea content in various environment water samples.

The invention discloses a flame atomic absorption spectrum detection method for potassium element in a specific bulk drug, which comprises the following steps: adding cesium ions as an exclusive ionization inhibitor into a full detection system, optimizing the temperature gradient and pressure threshold of microwave digestion, and unifying the matrix composition of a blank solution, a standard solution and a test solution to realize efficient elimination of interference. An atomic absorption spectrophotometer is adopted for detection under the potassium element characteristic wavelength of 766.5 nm, the correlation coefficient of a standard curve stably reaches 0.999 or above, the relative standard deviation of a detection result is smaller than or equal to 3.0%, the potassium element content in a specific type of raw material medicine can be accurately measured, and the qualified judgment standard is that the potassium content is smaller than or equal to 0.2%. The method is suitable for production quality monitoring and finished product compliance checking of specific bulk drugs, has the advantages of high accuracy, safe operation and strong specificity, can provide a reliable quality control means for pharmaceutical enterprises, and fills the technical blank of high-precision detection of potassium elements in the specific bulk drugs.

The invention relates to an evaluation method and system for a flow field structure of an all-vanadium redox flow battery. The method comprises the following steps: acquiring distribution data of concentration of positive and negative reactants; calculating the size and area proportion of a hydrogen evolution side reaction area in the negative electrode; directly substituting the distribution data of the negative electrode reactant concentration, and calculating the average value and the relative standard deviation of the first negative electrode reactant concentration; setting negative value data in the distribution data of the negative electrode reactant concentration as zero, and calculating an average value and a relative standard deviation of a second negative electrode reactant concentration; calculating the size and area proportion of an oxygen evolution side reaction area in the positive electrode; respectively calculating corresponding scores of the proportions of the positive and negative electrode side reaction areas, the average concentration value of the first and second negative electrode reactants and corresponding scores of relative standard deviation, and then calculating the scores to obtain a comprehensive evaluation score. According to the method, quantitative and objective evaluation of the battery flow field performance is realized, the problem of high occurrence of side reactions and the concentration distribution defect in the flow field design can be clearly positioned, and comparison of different flow fields is facilitated.

The present application relates to a food detection method, and particularly to a method for determining calcium beta-hydroxy-beta-methylbutyrate in high-protein food. 18 The sample is extracted by methanol water ultrasonic extraction, purified by PXC solid phase extraction column, separated by HPLC, eluted by acetonitrile-0.02 mol / L potassium dihydrogen phosphate solution as the mobile phase at a flow rate of 1.0 mL / min, detected by a UV detector, and quantified by an external standard method. The mass concentration of calcium beta-hydroxy-beta-methylbutyrate in the range of 0.020-2.00 mg / mL has a good linear relationship with the peak area, the correlation coefficient is 0.9993, the quantitative limit of special medical purpose formula food is 0.4 g / 100g, and the detection limit is 0.2 g / 100g; the quantitative limit of sports nutrition food is 1.0 g / 100g, and the detection limit is 0.5 g / 100g. The standard addition recovery is between 92.9% and 104%, and the relative standard deviation is 0.94%-3.93%. The method has simple pretreatment, good purification effect and high specificity, and can meet the content determination of calcium beta-hydroxy-beta-methylbutyrate in special medical purpose formula food and sports nutrition food.

The invention relates to a cinnamon digital thin-layer chromatography detection and analysis model as well as an establishment method and application thereof, and belongs to the technical field of quality control of traditional Chinese medicines. The cinnamon digital thin-layer chromatography detection and analysis model is established on the basis of a relative distance value (RPf) theory and can be used in cinnamon digital thin-layer chromatography analysis without real object control, the relative standard deviation of the RPf value is minimum through comparison under different experimental conditions and different experimental varieties, and the performance superior to that of RPf is shown. The application advantages of the characteristic spot distance method in the traditional Chinese medicine thin-layer chromatography digital standard are shown.

The present application relates to the technical field of traditional Chinese medicine detection, in particular to a detection method for the mixing uniformity of a mixture containing mirabilite or mirabilite extract. The detection method comprises the following steps: sampling from the mixture containing mirabilite or mirabilite extract, the sampling points being distributed at different positions of the mixture, each sampling point corresponding to a sample N i ; performing ion chromatography detection on the sample N i respectively, determining the content of Na i in the sample N + ; calculating the relative standard deviation RSD of the content of Na i in each sample N + , and determining whether the mixture containing mirabilite or mirabilite extract is mixed uniformly according to the obtained relative standard deviation RSD. The detection method has high accuracy, high safety factor and high analysis efficiency, can be applied to industrial production, thereby realizing rapid and accurate detection of the mixing uniformity of the mixing process of the mixture containing traditional Chinese medicine preparation, efficient and convenient monitoring of the end point of the mixing time, and providing a new strategy for the quality control of the production process of traditional Chinese medicine preparation containing mirabilite.

The invention discloses a method for measuring gallium, germanium, silver, indium, tellurium and thallium in nickel, and particularly relates to the technical field of metal trace element measurement. The method comprises the following steps: preparing a sample, preparing a sample blank solution and a sample solution, preparing a standard solution, preparing a working curve solution, drawing a working curve by adopting an inductively coupled plasma mass spectrometer, measuring the sample, processing experimental data and the like. After the interference of the nickel matrix is eliminated, the contents of gallium, germanium, silver, indium, tellurium and thallium are directly determined by the inductively coupled plasma mass spectrometry, so that the analysis speed is high, the detection limit is low, the detection result is accurate and reliable, the relative standard deviation is low, the standard addition recovery rate of a sample is high, and the contents of gallium, germanium, silver, indium, tellurium and thallium in the sample can be rapidly and accurately determined.

The invention relates to the technical field of chemical detection, and particularly discloses a preparation method and application of fluorescent carbon dots for detecting methylene blue. A carbon dot probe shows extremely high sensitivity to methylene blue, is remarkably superior to the prior art, realizes wide-range detection of 0.1-300 [mu] M and is far superior to 0.1-12 [mu] M in the prior art; the method can adapt to low-concentration microanalysis or detection of high-concentration industrial wastewater, meets the requirement for real-time rapid detection, is innovatively combined with a smart phone color recognition technology, and can complete quantitative detection only through an ultraviolet lamp or a smart phone. By extracting the color component ratio of the fluorescence image, the linear relationship between the color and the concentration is established, so that convenient detection with limited resources such as field water quality monitoring on site is carried out. In the environment with a large number of interfering substances, the detection result is hardly influenced, the accuracy of complex actual water sample detection is ensured, the adding standard recovery rate in the actual water sample is 92.1-103.3%, the relative standard deviation is small, and the method has obvious accuracy and reliability in actual environment monitoring.

The invention discloses a method for quantitatively detecting creatinine in serum by pH-assisted ratio type SERS (Surface Enhanced Raman Scattering), which comprises the following steps: preparing silver-coated gold core-shell nanoparticles Au (at) MPA (at) Ag NPs with internal standard thiohydracrylic acid as an SERS substrate, and normalizing an SERS signal of the creatinine by using an internal standard signal. In addition, the pH of the creatinine is adjusted to enhance the adsorption effect of the creatinine and the nanoparticles, so that a Raman signal is enhanced. The detection method disclosed by the invention has the advantages of effectively eliminating interference of environmental factors, non-uniformity of samples, high dependence on a substrate and the like. Moreover, 2.5 mol / L of creatinine can be detected by the creatinine detection method based on the pH-assisted ratio type SERS technology, the adding standard recovery rate in a serum sample is 98.1%-107.4%, the relative standard deviation is smaller than 5.8%, and the quantitative accuracy of creatinine detection is improved.

The invention discloses a fusion reactor ECRH system gyrotron power prediction method and a fusion reactor ECRH system gyrotron power prediction system. The method comprises the following steps: preprocessing collected gyrotron data; performing parameter selection and weight distribution on the preprocessed data; performing data length constraint, signal stability constraint and stable area proportion constraint on the selected and weighted parameters, and screening data meeting the triple engineering constraint conditions as steady-state operation data; grading the steady-state operation data according to the stability ratio and the relative standard deviation, and selecting a data set trained by the deep learning model according to the grade sequence of grading; inputting the data set into a deep learning model, adjusting hyper-parameters of the deep learning model by using a whale optimization algorithm, training the deep learning model, and inputting gyrotron data collected in real time into the trained deep learning model to obtain predicted gyrotron power; the method has the advantage that the prediction precision and efficiency are improved.

The invention provides a liquid chromatography-mass spectrometry method capable of efficiently detecting a deoxynivalenol (DON) metabolic intermediate product, namely 3-keto-DON (3-keto-DON). The detection method comprises a liquid phase elution procedure and a mass spectrum acquisition mode. According to the method, the detection time is 10 min, the retention time of 3-keto-DON is 6.99 min, the detection limit is 4 ng / ml, the quantitation limit is 10 ng / ml, the linear range is 10-1800 ng / ml, the correlation coefficient R2 is equal to 0.9995, and the relative standard deviation RSD is 1.99%.

The application belongs to the technical field of analysis and detection, and provides a method for detecting residual polydimethylsiloxane content in engineering bacteria-derived cytidine 5'-diphosphocholine sodium by using ultraviolet-visible spectrophotometry. The detection method provided by the application is mainly based on the coordination reaction of polydimethylsiloxane and chromogenic solution, and uses ultraviolet-visible spectrophotometry to detect the absorbance value of the blue complex product at 621 nm. The detection method solves the problem of high cost of high-end instrument detection, and has the characteristics of high sensitivity, good repeatability and accuracy. Relevant data shows that the relative standard deviation is less than 2.0%, the recovery rate is in the range of 80% to 120%, and RSD is less than or equal to 2%.

The invention discloses a method for rapidly and accurately measuring a manganese element in a copper-iron alloy, and solves the problems that when the manganese element in the copper-iron alloy is measured by the existing atomic absorption spectrometry, the contents of copper and iron elements are easy to generate strong matrix interference, so that the absorbance drifts, the accuracy of a measurement result is poor, and the measurement accuracy is low. In order to solve the problem of insufficient precision in the determination process of low-content manganese, interference of copper and iron matrixes is effectively eliminated and the precision and accuracy of low-content manganese determination are improved by optimizing instrument parameters, screening a reagent system and improving a sample pretreatment process, and the method is simple and convenient to operate, controllable in cost and suitable for industrial large-scale detection. The method disclosed by the invention has the advantages of strong anti-interference capability, no obvious interference of coexisting elements, relative standard deviation (RSD) of 1.20-3.20%, adding standard recovery rate of 97.5-102.5%, no obvious difference from the national standard ICP-OES method, simplicity and convenience in operation, controllable cost and suitability for batch detection of low-content manganese element in the copper-iron alloy.