12 results about "Conventional analysis" patented technology

The invention relates to the technical field of zinc hydrometallurgy, and discloses an analysis method for measuring high cobalt content by an EDTA complexing back titration method, which is based on the following steps: oxidizing Co < 2 + > into Co < 3 + > by using potassium nitrite in an acetic acid medium to form cobalt potassium nitrite precipitate so as to realize separation of cobalt and interfering ions, dissolving the precipitate, complexing with excessive EDTA, and performing back titration by using a zinc standard solution. Xylenol orange is used as an indicator, and determination is completed at room temperature in a hexamethylenetetramine buffer system with the pH value being approximately equal to 5.8. Coexisting ion interference is effectively eliminated through tartaric acid, sodium fluoride, thiourea and other masking agents, the method has the advantages of being easy and convenient to operate, sensitive in end point, high in accuracy and low in cost, and the requirement for conventional analysis of high-cobalt materials can be met.

The invention discloses an in-vitro drug intestinal permeability determination method based on a high-flux barrier chip, and belongs to the technical field of microfluidics and organ chips. The high-flux barrier chip adopts a three-layer structural design of a pore plate layer, a porous membrane layer and a channel layer; the porous membrane not only realizes physical separation of the pore plate layer and the channel layer, but also undertakes the core function of interlayer substance exchange, and by matching with a gravity flow driving system provided by the swing table, the fluid dynamic characteristics in the chip are guaranteed. The hole pitch of the chip is strictly matched with the standard of a commercialized pore plate, and the chip can be directly compatible with various conventional analytical instruments and has good universality. The method is suitable for determining the intestinal permeability of the passive transport compound which can be absorbed by intestinal cells. Compared with the prior art, the human intestinal cells are adopted to construct the chip model, animal experiments do not need to be carried out, related ethical disputes are thoroughly avoided, the whole operation process is simple and easy to implement, and the detection time is greatly shortened.

The present application relates to a gene mutation and phenotype information association analysis method and system, belonging to the technical field of automatic medical analysis. The method comprises the following steps: S1: obtaining a high-frequency pathogenic gene mutation white list; S2: obtaining genotype data of the object to be analyzed, comparing with the gene mutation in the white list, taking the intersection, and obtaining the high-frequency pathogenic gene mutation; S3: obtaining the high-frequency pathogenic gene mutation and the phenotype information of the object to be analyzed, performing high-frequency pathogenic gene mutation association analysis, and obtaining the associated high-frequency pathogenic gene mutation set; S4: obtaining the genotype data and the phenotype information of the object to be analyzed, performing conventional association analysis, and obtaining the associated gene mutation set; S5: obtaining the associated high-frequency pathogenic gene mutation set and the associated gene mutation set, taking the union, and outputting the gene mutation list in the union, which is the candidate pathogenic gene mutation list. The method can solve the problem of false negatives in conventional analysis methods (software).

The application belongs to the technical field of natural language processing, and particularly relates to a semantic log analysis system based on a large language model. The system comprises a subword feature extraction module, which deletes a cause and effect mask to adapt the structure of LLAMA2 to an analysis task, and extracts accurate feature representations for each subword by using the rich knowledge of the large language model; a semantic recognition module, which integrates the features of each subword based on a multi-head cross attention mechanism, and then extracts a log template and predicts the semantic category of a log parameter; and an analysis tree module, which stores the analyzed template in a tree structure, and constructs and updates the template synchronously with the analysis process, and is used for accelerating the reasoning process of large-scale real-time logs. The application achieves satisfactory results on conventional analysis and semantic analysis datasets. The application has strong generalizability, can capture the semantic features of logs, effectively alleviates the problem of low analysis efficiency under large-scale log data, and can provide strong support for downstream tasks related to logs.

The present invention is directed to a method for rapid analysis aqueous analytes, such as water contaminants, by concentrating analytes on solid adsorbents and then detecting using mass spectrometric analysis via desorption ionization of the contaminant directly from the adsorbent surface. The contaminant may be PFAS. This general approach was demonstrated via indirect solution analysis (ISA) with desorption electrospray ionization (ISA-DESI) and laser desorption ionization (ISA-LDI). These method can use various adsorbent materials, including commercial porous carbons, activated alumina, and metal-organic frame-works (MOFs). As an example, perfluorooctanoic acid (PFOA) was rapidly detected in under five minutes from solutions with PFOA concentrations in the parts-per-trillion (ppt) range. The advantages of this ISA are that sample preparation and analysis are greatly simplified and accelerated relative to conventional methods, the method can maintain extremely low detection limits compared to conventional analysis, and it can be performed with low-cost, readily available materials.

This invention provides a high-precision analytical method for lithium and its isotopes in complex environmental media. The method includes: preparing test solutions using differentiated pretreatment processes for different types of environmental samples; analyzing the lithium and other metal element content in the obtained solutions using inductively coupled plasma mass spectrometry (ICP-MS), employing a conventional analysis mode for lithium analysis and using rhodium as an online internal standard for calibration; performing lithium isotope separation and purification on the obtained solutions, including a cation exchange chromatography step, determining the optimal lithium collection range through elution curves, and obtaining purified lithium samples; and using a multi-receiver ICP-MS combined with a standard-sample cross-validation method to perform high-precision determination of the lithium isotope ratios in the purified lithium samples. This invention establishes a systematic analytical framework covering various types of environmental media such as water, soil, sediments, plants, and hair, featuring high sensitivity, good precision, and strong matrix tolerance, and can be widely applied in environmental science, geochemistry, and pollution source tracing.

This invention belongs to, but is not limited to, the field of analytical technology, and particularly relates to an advanced analysis method and system for an S-CO2 dual-turbine power generation system, comprising: S1, constructing an S-CO2 dual-turbine power cycle simulation model using the process simulation software Aspen HYSYS; S2, performing conventional analysis on the S-CO2 dual-turbine power generation system; S3, performing advanced analysis on the system, analyzing the potential for performance improvement of the system and its components; S4, exploring the effects of irreversible losses within the system; and S5, proposing a priority order for component improvements. This invention constructs an S-CO2 dual-turbine power generation system, uses Aspen HYSYS software as a tool to simulate system operation, calls the REFPROP database for property calculations, performs advanced analysis on the system, analyzes the potential for performance improvement, explores the effects of irreversible losses within the system, discusses the priority order for component improvements, and compares the results with those of conventional analysis.

The utility model provides an enrichment device for total reflection X fluorescence spectrum detection of heavy metals in water. The enrichment device comprises a liquid level laser transmitter, a laser receiver and a sample cup. The utility model provides an enrichment device for total reflection X fluorescence spectrum detection of heavy metals in water, which is characterized in that a liquid level laser transmitter, a laser receiver, a sample cup, a heating jacket, a pipette and an air cooling fan are matched with one another, the 10ml pipette extracts 10ml of a sample and guides the sample into the sample cup, a heater is started for heating, and the sample is kept not boiling; meanwhile, a light beam emitted by the laser penetrates through the sample cup and reaches the laser receiver, the laser receiver sends out a signal when 1ml is evaporated and reaches the scale, and heating is stopped; and the air cooling fan is started to cool the heated sample cup to the normal temperature, conventional analysis is carried out, the device can rapidly achieve enrichment of detected ions, the detection limit of total reflection X fluorescence monitoring heavy metal is improved, and the practicability of the device is improved.

A system for AI-driven quality assessment and adulteration detection in clarified butter, the system includes: a data acquisition and processing unit comprising a multispectral imaging unit configured to capture high-resolution images of ghee samples under controlled illumination conditions, the module also comprising a temperature-stabilized sample chamber with optically transparent walls to ensure uniform light scattering and minimize shadow artifacts; a chemical measurement subsystem capable of performing at least one conventional analysis, including gravimetric moisture determination, Baudouin reaction or spectroscopic profiling, wherein the subsystem is operationally connected to a microfluidic cartridge for sample handling and reagent dispensing; An annotated data repository configured to store captured images along with chemical and physical adulteration measurements. The repository includes a structured relational database encoding metadata, including batch number, sample origin, illumination parameters, and adulteration metrics. a deep learning inference machine incorporating convolutional neural networks (CNNs), where the machine is trained on the annotated data store to detect forgery signatures, including variations in color gradients, crystalline microstructures, and spectral reflectance profiles; an automated Baudouin test analysis pipeline in which sequential image frames of the reaction chamber are captured and processed using a color segmentation technique in conjunction with AI-driven classification to quantify the adulteration of clarified butter with reduced subjectivity; and A user interface integrated into a mobile device, an industrial console, or a cloud-accessible platform, configured to generate non-destructive, real-time reports of counterfeiting, with these reports including predicted counterfeit levels, confidence metrics, and regulatory compliance thresholds.

The invention discloses a method and a system for detecting carbon-13 isotope abundance in carbon dioxide. The method comprises the following steps: preparing a 13C-benzoic acid sample by using carbon dioxide containing 13C; the method comprises the following steps: dissolving a < 13 > C-benzoic acid sample in a solvent to prepare a solution to be detected; and carrying out liquid chromatography separation on the solution to be detected, and carrying out ion monitoring in a negative ion mode by adopting mass spectrum so as to obtain the < 13 > C isotope abundance. According to the invention, gaseous 13CO2 is converted into solid benzoic acid which is easy to analyze by LC-MS through a specific chemical derivatization reaction, so that abundance measurement of gas isotopes is converted into intensity ratio measurement of specific molecular ion peaks in a liquid sample, and a new path for isotope abundance detection by using conventional analysis equipment is opened up; the method gets rid of dependence on expensive and special IRMS instruments, can be implemented in any laboratory equipped with conventional LC-MS, and greatly reduces the analysis threshold and cost.

This invention discloses a method for determining lithium content in polymetallic ores using a sulfuric acid-hydrofluoric acid decomposition-boric acid complexation-split method, belonging to the field of lithium ore analysis and testing technology. The method first completely decomposes the sample using a mixed acid solution of sulfuric acid and hydrofluoric acid. Then, excess boric acid is added and the sample is treated with micro-heating to eliminate free HF. The solution is then diluted to a final volume to obtain a mother liquor, which is then split and diluted to prepare the test solution. Finally, the lithium content is determined using an atomic absorption spectrophotometer. Results show that this method effectively inhibits the slow hydrolysis of P, Al, Sn, Nb, and Ta, as well as the adsorption of lithium by colloids, significantly improving the accuracy and repeatability of lithium content determination. This method solves the technical problems of interference from fluoride ions, lithium adsorption due to metal ion hydrolysis, low detection results, and poor recovery rates in traditional methods, and is suitable for routine lithium analysis in high-P-Al-Sn-Nb-Ta samples.

The present invention relates to a sample analysis method through biochemical sample expansion and a system therefor, which can perform analysis with high resolution and accuracy compared to conventional analysis methods by expanding a part or all of a biochemical sample. The present invention provides a sample analysis method through biochemical sample expansion, the method comprising the steps of: forming a conjugate precursor by binding an anchoring agent to a sample; forming a sample–hydrogel composite by reacting the conjugate precursor with a hydrogel precursor solution; expanding the sample-hydrogel composite by supplying a solvent to the sample-hydrogel composite; and isolating a desired analysis target from the expanded sample-hydrogel composite.