35results about How to "Short analysis time" patented technology

This invention discloses a method for identifying the origin of quartz based on multimodal signal fusion using scanning electron microscopy (SEM). It utilizes only one SEM equipped with an energy dispersive spectroscopy (EDS) probe, a cathodoluminescence (CAT) probe, and a backscattered electron diffraction (BSE) probe. By comprehensively employing multiple indicators, including the coefficient of variation of CL band width (a), the Al-Ti influence coefficient (b), the lattice orientation difference influence coefficient (c), and the relative gravity coefficient of inclusion type (d), the method determines whether a quartz sample is of hydrothermal or metamorphic origin. This invention achieves rapid and accurate identification of the origin of quartz.

This invention relates to the field of electroplating solution analysis technology, and in particular to a rapid analytical method for polyethylene glycol (PEG) additives in copper electrodeposition solutions. The method involves protonated PEG forming a macromolecular complex colloid with phosphomolybdate under acidic conditions of pH 1.0–2.0. This colloid exhibits maximum absorption at 372 nm, and the absorbance value is directly proportional to the PEG concentration in the formed complex colloid. This allows for quantitative analysis of PEG in the copper electrodeposition solution. Because the phosphomolybdate-PEG complex colloid selected in this invention has excellent selectivity, and no sample pretreatment is required, this invention offers advantages such as ease of operation, speed, high sensitivity, and good selectivity. It is particularly suitable for intermediate control analysis in production environments, such as for electroplated copper interconnects in chips and printed circuit boards, as well as electrolytic copper foil for negative electrode current collectors and copper-clad laminates in energy storage batteries.

The invention relates to a fluorescence and colorimetric dual-mode biosensing method for detecting caffeine and application thereof, the method causes CRISPR / Cas13a to regulate and control Fe-MOFs to fall off from a signal probe based on to-be-detected liquids with different concentration gradients, the fallen Fe-MOFs collapses under the action of sodium pyrophosphate to release 2-aminoterephthalic acid and ferric ions, and the 2-aminoterephthalic acid and ferric ions are subjected to fluorescence and colorimetric dual-mode biosensing method is used for detecting caffeine. 2-aminoterephthalic acid is converted into a fluorescence signal, meanwhile, Prussian blue generated by reaction of ferric ions and potassium ferrocyanide is converted into a colorimetric signal, and a fluorescence and colorimetric dual-mode biosensing method is constructed; according to the sensor, interference factors can be effectively eliminated by outputting two detection signals and performing cross validation; the advantages of high sensitivity and wide linear range of a fluorescence method and the advantages of simple operation and visual result of a colorimetric method are combined, so that a target object can be accurately recognized, the lower detection limit can be reduced, and the accuracy of a quantitative result can be ensured; according to the sensing method, visual observation can be achieved, precise instruments are not needed, and good application value is achieved.

The invention discloses a differential dynamic microscopic image processing method based on a root-mean-square error. The differential dynamic microscopic image processing method comprises the following steps: a sequence image acquisition step: acquiring a time sequence microscopic image; a sequence image processing step: obtaining a difference image data set; performing one-dimensional Fourier transform in two directions on the differential image data set in sequence to obtain two-dimensional transform result data, and calculating to obtain Fourier amplitude spectrum image data; an obtained data processing step: carrying out dimension reduction processing on the Fourier amplitude spectrum image data; introducing structure function fitting, calculating a root-mean-square error between a fitting curve of the data after dimension reduction processing and the Fourier amplitude spectrum image data, and selecting a data truncation point according to the root-mean-square error; and an intermediate scattering function is introduced, and dynamic information of Brown particles is obtained based on the relationship between the data after selection of the truncation point and the diffusion coefficient. According to the method, the data truncation point is determined through the root-mean-square error, so that the processing time is remarkably shortened while the measurement precision is ensured.

The application discloses a detection method of Baizhu San standard decoction fingerprint combined with liquid chromatography-mass spectrometry, the fingerprint and application thereof, and belongs to the field of traditional Chinese medicine quality standard research and application. Test sample solution and single control sample solution are injected into a high performance liquid chromatograph to obtain respective chromatograms; mass spectrometry analysis is conducted on the test sample solution to obtain mass spectrometry results; common peaks existing in the chromatogram of the test sample solution are taken as common peaks, chemical components in the Baizhu San standard decoction are identified in combination with the chromatogram of the single control sample solution and the mass spectrometry results of the test sample solution, and the Baizhu San standard decoction fingerprint is obtained. The fingerprint is constructed through liquid chromatography-mass spectrometry, 10 intersecting components are identified in combination with the mass spectrometry information of the control sample, so that the quality control of the Baizhu San standard decoction is realized, the method is simple, easy to operate, high in precision, good in stability and reproducibility, and can effectively solve the technical problem that the quality of the Baizhu San cannot be effectively evaluated.

The application discloses a kind of oil consumption quantitative analysis method based on user working condition test data, combine user working condition test data with standard test data, through the time proportion deviation of subdivision speed section, lock the abnormal speed section leading to oil consumption difference, and based on abnormal speed section, the driving condition characteristics shown when driving in this abnormal speed interval in test phase are observed, then the time length, speed, instantaneous fuel consumption, form distance and other data corresponding to this driving condition are statistically analyzed, the oil consumption quantitative value of this driving condition in user working condition test is obtained, which indicates the direction for subsequent actual road fuel consumption optimization.The application increases targeted quantitative index analysis on the basis of traditional qualitative analysis based on user working condition, not only greatly shortens test data analysis time and improves work efficiency, but also can more objectively and accurately analyze fuel consumption difference, thereby providing reliable basis for identifying actual road working condition fuel consumption analysis of the vehicle under research and subsequent vehicle.

The application provides an automatic optical characterization test system, method, medium and terminal, which comprises an operation module, an optical characterization test module for image acquisition and spectrum test on a detected sample, an analysis module comprising a control module, a data processing module and a display module, the control module controls the operation module, the image acquisition module and the spectrum test module, the data processing module is used for receiving and summarizing the test results of the optical characterization test module, and the test results are recorded in a database after data processing, and the display module is used for displaying the real-time process and test results of the optical characterization test. The application can realize the automation, high efficiency and unmanned of the whole process of the optical characterization test, greatly saves time, improves the test efficiency and the accuracy of the test data, and can automatically summarize and arrange the experimental data, construct a database and save the data analysis time.

This invention discloses a method for determining the elemental content of iron ore using variable importance-artificial neural network-assisted laser-induced breakdown spectroscopy. The method includes the following steps: S1: Collect LIBS spectral data and elemental content data from at least 13 batches of iron ore in at least four categories. Use radiometric analysis (RF) to measure the importance of LIBS spectral features. A variable importance threshold is used to optimize the input variables of the BP-ANN model. The variable importance threshold and the number of neurons in the BP-ANN model are optimized using the determination coefficients and root mean square error of five-fold cross-validation to establish a VI-BP-ANN model. S2: Using the VI-BP-ANN model from S1, input the LIBS spectral data. The model ranks the features according to variable importance and calculates the elemental content in the iron ore. This invention's detection method can rapidly detect the total iron content, calcium content, magnesium content, aluminum content, and silicon content in iron ore.

The utility model relates to an integrated full-scene adaptive total phosphorus rapid detection platform, which comprises a raw water collection module, a sample digestion module, a sample introduction reaction module and a detection module, the raw water collection module comprises an automatic sample injector capable of automatically switching a plurality of sample tubes and / or online water samples to collect raw water; the sample digestion module comprises sulfuric acid mixed with a sample, a heating reactor, potassium persulfate mixed with a mixed solution and an ultraviolet digestion device, and the sample introduction reaction module comprises a color developing agent mixed with the sample subjected to ultraviolet digestion, ascorbic acid mixed with the mixed solution and a heating reactor. The detection module comprises a flow cell of a final reaction product and a detector, and a plurality of modules of raw water collection, sample digestion, sample introduction reaction, detection and the like are integrated into a whole, so that full-process automatic operation from raw water collection to final detection result output is realized.

The invention discloses a two-parameter measurement method based on a double-ridge grating metasurface and a convolutional neural network. The method comprises the following steps: step 1, designing a double-ridge grating metasurface structure, and constructing a double-independent quasi-continuous domain bound state mode; 2, generating a wide-range data set; 3, building a convolutional neural network model, and training by using the data set in the step 2; and step 4, performing solution detection by using the trained convolutional neural network model, automatically extracting spectral features, and synchronously obtaining measured values of the refractive index and the thickness of the solution. The method does not need manual spectrum preprocessing, is high in detection precision and efficiency, and is suitable for micro-nano scale precision measurement scenes such as biochemical detection and medical diagnosis.

The invention belongs to the technical field of aircraft test data processing, and discloses an aircraft-oriented test data comprehensive analysis method and system, and the method comprises the steps: collecting aircraft test data, including engineering simulator data, test flight data and laboratory test data, and carrying out the preprocessing of the aircraft test data, the method comprises the following steps: establishing a data association model according to a sensor signal state of aircraft test data, airborne system and equipment state information and alarm logic, associating the aircraft test data, extracting alarm information, abnormal modes and fault features of the associated aircraft test data, generating a data chart related to fault alarm, and if the alarm information does not exist, executing the fault alarm; if yes, generating an abnormal data chart and generating an analysis report. According to the invention, multi-type data can be efficiently processed, faults can be rapidly positioned, data can be visually displayed, and aircraft maintenance is supported.

The invention relates to the technical field of chlorosilane trace phosphorus detection, in particular to an electronic-grade chlorosilane trace phosphorus online detection method and system based on gas phase enrichment, and the method comprises the following steps: converting a liquid chlorosilane sample into chlorosilane steam flow; carrying out selective enrichment on the chlorosilane steam flow, separating phosphorus impurities from chlorosilane groups by utilizing the property difference between the phosphorus impurities and the chlorosilane groups, and selectively retaining and enriching the phosphorus impurities; desorbing the enriched phosphorus impurities, and sending the phosphorus impurities into an excitation source for excitation to obtain a phosphorus characteristic signal; determining the concentration of phosphorus impurities in the chlorosilane sample based on the phosphorus characteristic signal; the process of gas phase sample introduction, selective adsorption enrichment, rapid thermal desorption and direct excitation detection is adopted, so that the necessary wet chemical treatment links such as sample hydrolysis and digestion in the traditional off-line method are avoided, and exogenous pollution introduction, target phosphorus element volatilization loss and analysis delay caused by the wet chemical treatment links are eliminated; and rapid online monitoring of the chlorosilane in the process pipeline is realized.

The invention belongs to the technical field of nuclear radiation detection, and particularly relates to an ESEM-oriented radon solid track image counting method and system, and the method and system are composed of a solid track detector, an environment scanning electron microscope, a high-resolution camera, an image analysis processing system, a fixed frame and a communication module, and achieve the automatic image preprocessing and image edge detection. The method comprises the steps of image binarization threshold segmentation, morphological processing, connected component analysis, feature extraction, body track automatic counting, result output and the like, automatic collection and processing of a solid track image of a radon environment are completed, a marked image is obtained, the marked image comprises the marked solid track position and the serial number of a connected component, the marked image can be directly used for observing a sample, and the detection accuracy is improved. The requirements on chemical fixed trace and vacuum observation environment are reduced, the influence of charging effect and high vacuum environment on the sample is avoided, and real-time detection can be carried out.

The invention provides a liquid chromatographic analysis method of a trifloxystrobin intermediate product. The liquid chromatographic analysis method comprises the following steps: preparing a sample solution in a trifloxystrobin reaction process; carrying out gradient elution under the conditions that a chromatographic column takes alkyl-silica gel as a filling agent and a mobile phase is composed of acetonitrile and a buffer solution, and carrying out liquid chromatographic analysis on the sample solution so as to detect an intermediate product in the reaction process of trifloxystrobin; wherein the gradient elution comprises a time period in which the volume fraction of acetonitrile is increased at a constant speed and a time period in which the volume fraction of acetonitrile is kept stable. The method can effectively monitor cis-trans isomers and other impurities appearing in the trifloxystrobin preparation reaction process, can efficiently, accurately and quickly judge the reaction process by monitoring the content of each substance, is suitable for monitoring the isomers and impurities in the trifloxystrobin preparation process, and also provides technical support for experiment condition optimization and industrial production.

This application provides a method, apparatus, medical device, and storage medium for processing electrocardiograms (ECGs). The method includes: plotting an ECG scatter plot based on a target ECG; performing ECG waveform analysis on heartbeats on the target ECG based on the ECG scatter plot to obtain waveform parameters of the heartbeats; and superimposing the waveform parameters onto the heartbeats to display them on the target ECG. This application enables accurate ECG waveform analysis, eliminating the need for doctors to manually measure ECG waveform parameters when analyzing Holter monitors, thus reducing the doctor's analysis time and alleviating their workload.

The application discloses a method for determining the content of aluminum in thionyl chloride solution of aluminum trichloride by complexometric titration, and relates to the field of complexometric titration in analytical chemistry. After a sample is hydrolyzed under a closed condition, aluminum ions are combined with an excessive amount of disodium ethylenediaminetetraacetate solution under the condition that the pH value is about 3.0. Then, the excessive amount of disodium ethylenediaminetetraacetate is titrated by using dimethylphenyl orange as an indicator and a zinc chloride standard titration solution under the condition that the pH value is about 6.0. The method has the advantages of convenient sampling safety, simple determination steps, easy mastering, short analysis time and accurate detection result.

The present disclosure provides a method and a system for extracting fiber cross-section profile. The method comprises the following steps. An image reading step reads yarn cross-section images, wherein the yarn cross-section images comprise first type cross-sections and second type cross-sections. A first image preprocessing step provides a selection signal to select the first type cross-sections or the second type cross-sections. A second image preprocessing step segments the selected cross-sections from the yarn cross-section images as regions of interest. A feature extraction step calculates frequency domain features, gradient features and color features according to the selection signal. A cross-section profile extraction step extracts cross-section profiles of the regions of interest according to the frequency domain features, the gradient features and the color features. The present disclosure also provides a system for extracting fiber cross-section profile. Thus, the analysis time of fiber profile can be greatly saved, and the accuracy of fiber profile analysis can be significantly improved.

The invention relates to the technical field of analysis and detection, and discloses a method for determining the concentration of chloride ions in gelatin and / or collagen. The method comprises the following steps: mixing a PVP alcoholic solution, a to-be-detected sample and an HNO3 aqueous solution with the pH value of 2-3 to obtain a to-be-detected solution, mixing the to-be-detected solution with a chloride ion releasing agent, a silver ion-containing substance and a solvent to obtain a mixed solution, and determining the chloride ion concentration in the mixed solution by using an ultraviolet-visible spectrophotometer, determining the chloride ion concentration in the to-be-detected sample according to the chloride ion concentration in the mixed solution; the sample to be detected is gelatin and / or collagen. The method can realize rapid, accurate and high-reproducibility analysis of the chloride ion concentration in the gelatin and / or the collagen, so that the method is applied to effective and accurate monitoring of the chloride ion concentration in the gelatin and / or the collagen in an electrolysis process.

This invention belongs to the field of chemical analysis technology, specifically relating to a method for separating three components in DOPA / benzisazol tablets and detecting their content and dissolution rate. The method uses a chromatographic column packed with octylsilane-bonded silica gel, employing a mobile phase of a mixed solution of sodium dihydrogen phosphate buffer, methanol, and sodium heptanesulfonate for isocratic elution, sequentially separating levodopa, benzyl hydrochloride, and benzyl hydrochloride impurity B. The separated components are then detected using a UV detector. Specifically, the detection wavelength for levodopa is 280 nm, and the detection wavelengths for benzyl hydrochloride and benzyl hydrochloride impurity B are 220 nm. This method can separate levodopa, benzyl hydrochloride, and benzyl hydrochloride impurity B within 15 minutes, and can achieve quantitative analysis and dissolution rate detection of levodopa and benzyl hydrochloride. This method is highly specific, has a short analysis time, good stability, good accuracy, high repeatability, and is simple and feasible to operate.

The invention relates to a vehicle software flashing effect evaluation method and device based on association attribution analysis. The method comprises the following steps: acquiring multidimensional data flashed by vehicle software in real time; through a Pearson correlation coefficient and a Granger causal test, an incidence relation matrix is generated; clustering the multi-dimensional data through a K-means clustering algorithm to obtain key parameters of the multi-dimensional data; on the basis of the incidence relation matrix, the key parameters and the flashing operation, through a Binseg algorithm and geometric topology characteristics, constructing a space-time evidence chain of vehicle software flashing; based on the space-time evidence chain, through Shapley value calculation, determining a plurality of flash factors; eliminating interference factors from the plurality of flashing factors through matching contrast and logistic regression of multi-dimensional data; and on the basis of the plurality of flashing factors after the interference factors are eliminated, calculating a software flashing score through an analytic hierarchy process. According to the method, through multi-dimensional data association analysis, evidence weight optimization and contribution degree quantification, the evaluation accuracy, the operation and maintenance efficiency and the flashing success rate are improved.

The invention discloses a method for detecting the content of pyrroloquinoline quinine and / or pyrroloquinoline quinine salt and application. The provided method for detecting the content of pyrroloquinoline quinine and / or pyrroloquinoline quinine salt comprises the following steps: uniformly mixing a sample to be detected with a disodium hydrogen phosphate aqueous solution to prepare a solution to be detected, the pH of the solution to be detected being neutral; the to-be-detected solution is subjected to high performance liquid chromatography detection, and the conditions of high performance liquid chromatography detection are as follows: a disodium hydrogen phosphate aqueous solution is taken as a mobile phase A, acetonitrile is taken as a mobile phase B, and isocratic elution is carried out. In the provided method for detecting the content of pyrroloquinoline quinone, the pH value of the solution powder to be detected is controlled to be neutral, and the pyrroloquinoline quinone in the sample to be detected can be rapidly, accurately and conveniently detected by adopting a disodium hydrogen phosphate aqueous solution as a mobile phase A and combining conditions such as isocratic elution.

The invention discloses a method for quantitatively evaluating the development degree of a shale reservoir bedding fracture by utilizing geological parameters, which comprises the following steps: S1, sampling a shale layer section, analyzing components, and determining the mineral composition and content of shale; s2, carrying out TOC content analysis on the shale bed section, and determining TOC content characteristics of the shale bed section; s3, performing strata analysis through a computer image processing program, and determining the development degree of the shale strata structure; s4, determining the development density of the bedding seam of the corresponding layer; s5, performing rendezvous analysis on the obtained parameters and bedding seam development density, and screening out sensitive parameters related to bedding seam development and a threshold range thereof; and S6, when the shale layer section meets the conditions that the carbonate content is 20%-60%, the clay mineral content is 20%-35%, the TOC content is high and the strata structure develops at the same time, it is judged that the shale layer section is a favorable layer section for bedding seam development. According to the method, a powerful basis is provided for accurately judging the bedding seam development layer section of the shale, and guidance can be provided for optimization of a favorable exploration layer section of shale oil.

This invention provides an electrochemical sensor method for detecting nitrobenzene. The modified electrode is prepared by electrochemical copolymerization using 1,3,5-tris(N-carbazolyl)benzene (TCB) and N-(6-hydroxyhexyl)carbazole (CbzC6-OH) as carbazole monomers to construct a CMP thin film modified electrode for detecting nitrobenzene. The morphology of the CMP film is characterized by atomic force microscopy. The electrochemical performance of the modified electrode is studied using differential pulse voltammetry. The results show that the electrochemical sensor prepared based on this electrode exhibits high electrocatalytic activity, good stability and selectivity, and a wide detection range in the detection of nitrobenzene. This indicates that the sensor has good prospects for practical applications.

The invention belongs to the technical field of chemical analysis and detection, and particularly relates to a method for distinguishing fatty alcohol-polyoxyethylene ether carboxylic acid prepared by an oxidation method and fatty alcohol-polyoxyethylene ether carboxylic acid prepared by a carboxymethylation method. According to the principle, the fatty alcohol-polyoxyethylene ether carboxylic acid product prepared by using two methods has different residual impurities, and the content of monochloroacetic acid and chloride ion impurities is determined by using an ion chromatography so as to identify the fatty alcohol-polyoxyethylene ether carboxylic acid product. The method is easy and convenient to operate, high in accuracy and precision and good in repeatability, and reliable technical support is provided for quality control and application and popularization of fatty alcohol-polyoxyethylene ether carboxylic acid products.

The utility model discloses a connecting device for improving detection sensitivity based on ion chromatography transformation, which comprises a chromatographic column, a column oven, a suppressor and a detector, the chromatographic column is arranged in the column oven; the suppressor is provided with a leacheate inlet, and the leacheate inlet is connected with the outlet of the chromatographic column; the suppressor is provided with a leacheate outlet, and the leacheate outlet is connected with an inlet of the detector; the suppressor is provided with a regenerated liquid inlet, and the regenerated liquid inlet is connected with an outlet of the detector; and the suppressor is powered by a direct-current stabilized power supply. According to the device, the column oven and the suppressor are additionally arranged, compared with original old equipment, the suppressor improves sensitivity, the column oven optimizes the separation degree, and efficient analysis of complex samples can be achieved through combination of the suppressor and the column oven.

The invention discloses a plasma cell morphological multiple myeloma and AL amyloidosis identification method, and relates to the technical field of medical detection.The method comprises the steps that an original digital image of a bone marrow smear is obtained, image processing is carried out, plasma cell segmentation data is generated, and the original digital image of the bone marrow smear is obtained; the plasma cell segmentation data is used for identifying plasma cell regions of a plurality of plasma cells and cell nucleus regions of the plasma cells, calculating morphological parameters of each of the plurality of plasma cells to generate a feature data set, the morphological parameters comprising a nucleus-plasma ratio and nucleus roundness, inputting the feature data set to an identification classification model, and outputting an identification result, the identification result comprises multiple myeloma, AL amyloidosis and no disease. According to the method, the nuclear-level morphological characteristics of the plasma cells are extracted through automatic image segmentation, and classification is performed by using the convolutional neural network model optimized by transfer learning, so that the problems of high subjectivity and low efficiency of a traditional diagnosis method are solved, and rapid and high-precision automatic identification of multiple myeloma and AL amyloidosis is realized.

The application belongs to the technical field of fluorescent probe detection, and particularly relates to a kind of blue fluorescent carbon quantum dots and its application. The application takes thioflavin T as raw material, ethanol as solvent, and synthesizes blue fluorescent carbon quantum dots with large conjugated structure through simple one-step microwave method. The carbon quantum dots are difficult to dissolve in water and easy to dissolve in organic solvents, and have sensitive fluorescence response to ethanol in the mixed solution of ethanol and water. Using the carbon quantum dots as fluorescent probe, the rapid and efficient detection of ethanol content in liquor can be realized by using ordinary fluorescence spectrometer, and the application has the advantages of convenient operation, high sensitivity, short response time and the like, and has broad application potential to develop portable alcohol detection scheme.

The invention belongs to the technical field of material analysis, and provides a method for rapidly detecting the migration quantity of chloropropanol compounds in cigarette paper, which comprises the following steps: carrying out a water phase migration experiment on a cigarette paper sample to be detected to obtain a migration liquid; adding deuterated chloropropanol into the migration liquid, mixing with an internal standard stock solution, and carrying out salting-out auxiliary liquid-liquid extraction, dehydration purification and nitrogen blowing concentration to obtain a liquid to be detected; a gas chromatography-tandem mass spectrometry method is adopted to measure the to-be-measured liquid, a chromatographic column is an ultra-high inert bonded polyethylene glycol capillary chromatographic column, and data are collected in a multi-reaction monitoring mode; the migration amount of the chloropropanol compounds in the sample is calculated through an internal standard method, and the chloropropanol compounds comprise 1, 3-dichloro-2-propanol and 3-chloro-1, 2-propylene glycol. The method does not need a derivatization step, is high in detection accuracy, and can realize rapid detection and batch analysis.

This invention discloses an ultra-high performance liquid chromatography (UHPLC) method for the simultaneous determination of multiple kavalactone components in kava extract. The method includes: S1, preparing a ternary mobile phase system using 0.1% phosphoric acid aqueous solution as mobile phase A, acetonitrile as mobile phase B, and isopropanol as mobile phase C; S2, preparing a mixed reference solution containing capsaicin, demethoxycapsaicin, dihydrocapsaicin, capsaicin, capsaicin, dihydrocapsaicin, yellow kavalactin A, yellow kavalactin B, and yellow kavalactin C; S3, preparing a test solution; and S4, performing gradient elution determination using an UHPLC system with octadecylsilane-bonded silica gel as the packing material. This invention fills the monitoring gap for yellow kavalactin C; all components achieve baseline separation, exhibiting advantages such as good separation, short analysis time, high precision, and good stability, providing a comprehensive and reliable detection method for the quality control of kava extract.