26 results about "Trace element analysis" patented technology

The invention belongs to the technical field of semiconductor detection, and provides a sample preparation and detection method for analyzing trace elements in an etched deep hole, and the sample preparation method comprises the following steps: depositing a first protective layer, gluing and plating a second protective layer on the surface of a deep hole groove sample to be detected in sequence to obtain a sample intermediate to be detected; performing first FIB cutting on the to-be-detected sample intermediate to obtain a target to-be-detected sample; placing the substrate end of the target sample to be detected upwards, and performing second FIB cutting on the substrate to obtain a TOF-SIMS sample; the TOF-SIMS sample comprises a whole deep hole groove and a substrate area, wherein the substrate area extends downwards from the bottom of the deep hole groove by 0.1-1 [mu] m. The prepared TOF-SIMS sample comprises the whole etched deep hole groove, analysis is started from the back face of the TOF-SIMS sample during detection, element information in the etched deep hole groove is comprehensively detected, the detection sensitivity is high, and the result is more accurate.

The invention provides a trace element detection instrument. The trace element detection instrument comprises a foldable and turnover shell; the liquid supply mechanism comprises a test tube with a peristaltic pump, and the test tube is provided with a replaceable filter membrane, a liquid level alarm sensor and a modular fixing seat; the reaction tank replacement mechanism realizes elastic installation of the reaction tank through a first elastic assembly at the tail part of the six-way valve; the optical measurement module detects an excitation light signal through a laser transmitter, a probe sensor and a photoelectric sensor and converts the excitation light signal into concentration data; the six-way valve is connected with the flow velocity measurement module and calculates the liquid flow velocity through the glass tube and the upper and lower sensors; waste liquid is discharged into a middle waste liquid pool through a waste liquid head linked with the pressing block. Through the foldable shell, the elastic docking mechanism, low residual fluid control, real-time flow rate monitoring and automatic waste liquid treatment, high precision, high efficiency and high adaptability of the detection process are achieved, and the device is suitable for multi-scene trace element analysis such as clinical detection and environment monitoring.

1. Name of the product in this design: Spectrometer. 2. Purpose of this design: For the analysis of trace elements in liquids and solids. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The invention provides a method for analyzing trace elements in dinodon rufozonatum and an antithrombotic activity application of the dinodon rufozonatum. The method comprises the following steps: pretreatment of a dried snake or decocted liquid sample, microwave digestion, acid removal and constant volume, and ICP-MS detection of 25 trace elements. The antithrombotic activity application of the method for analyzing the trace elements in the dinodon rufozonatum is characterized in that the trace elements such as selenium, chromium and vanadium related to the antithrombotic activity are detected, the content range of the trace elements is strictly controlled, element-activity correlation verification is carried out in combination with an antithrombotic activity verification experiment, and the dinodon rufozonatum antithrombotic preparation is provided. The composition comprises dinodon rufozonatum alcohol extract and pharmaceutical auxiliary materials in a mass ratio of (4-9): 1, and the content of antithrombotic elements in the dinodon rufozonatum alcohol extract meets specific standards. The development and application of the preparation provide a new choice for the field of antithrombotic drugs, fully explore the medicinal value of dinodon rufozonatum, and have broad market prospects and important scientific significance.

The invention relates to a sample pretreatment method for chromite microelement analysis. The method comprises the following steps: firstly, treating a sample to specific particle size distribution (Dv (50) lt, 5 [mu] m, Dv (90) lt, 20 [mu] m) through physical accurate grinding, and then adopting an improved two-step acid dissolution and digestion process: firstly, destroying main crystal lattices of minerals by using mixed acid, then, carrying out targeted dissolution on a residual insoluble phase by using aqua regia, and finally, carrying out chlorine removal treatment to obtain a solution to be detected. Through the synergistic effect of physical accurate grinding and secondary acid dissolution, almost complete decomposition of chromite is achieved, especially the extraction efficiency of key indissolvable elements such as Sc and Zn is improved by 20% or above, the accuracy and precision of ICP-MS analysis results are remarkably improved, and the problem that microelement measured value systematicness is low due to incomplete dissolution in a traditional method is solved.

The invention discloses a trace element detection method and a trace element detector, and relates to the technical field of trace element analysis, the trace element detector comprises a protection assembly and a detection assembly, the detection assembly is arranged in the protection assembly, and the detection assembly comprises an adjusting mechanism and a mixing mechanism. A servo motor is started, an output shaft of the servo motor drives a fixed rotating block to rotate, a buffering effect is achieved when a rotating gear is meshed with a comb tooth area, mixing can be accelerated when the rotating gear is meshed with a dense tooth area, so that a sample solution in a sample container cannot be subjected to standing and precipitation, and the accuracy of sample mixing is improved. The problem that a standing sample storage container enables a sample solution to precipitate, so that microelements in the sample solution are not uniformly distributed is solved, and inaccurate detection of the microelements of foods and medicines is avoided.

The invention discloses a biological sample microelement digestion and detection method, and relates to the technical field of microelement analysis and testing. According to the method, the biological sample is digested by jointly treating the biological sample through the functional additive and the digestion acid system in combination with optimization of the digestion temperature and the digestion time. After the biological sample is digested, the sample is cooled to the room temperature, deionized water is used for fixing the volume, and after water membrane filtration, the content of 12 trace elements in the sample is determined by adopting inductively coupled plasma mass spectrometry (ICP-MS). The digestion and detection method provided by the invention is simple and convenient to operate, short in digestion time, low in equipment cost, capable of effectively avoiding element volatilization loss, suitable for large-batch sample detection and capable of providing accurate pretreatment and detection technical support for heavy metal exposure evaluation.

The invention provides a calibration method of a human body trace element analyzer, which comprises the following steps: checking the appearance and normality of a to-be-detected analyzer, configuring a measuring range corresponding to the to-be-detected analyzer, and preparing a standard solution according to a preset proportion; carrying out first preset times of measurement by adopting at least three standard solutions with different preset proportions so as to calibrate the concentration indication error of the to-be-detected analyzer; a standard solution with the concentration being 50% of the measuring range of the to-be-detected analyzer is adopted for measurement for a second preset number of times, so that the measurement repeatability of the to-be-detected analyzer is calibrated; and according to the measurement principle of the to-be-detected analyzer, performing continuous measurement for a third preset number of times by adopting a standard solution with a preset concentration so as to calibrate the detection limit of the to-be-detected analyzer.

The invention provides a food detection method suitable for trace element analysis, and relates to the technical field of data analysis. The method comprises the following steps: firstly, carrying out time-domain semantic mining on time-domain food spectrum data to form a time-domain food semantic vector; secondly, performing time-frequency conversion on the time-domain food spectrum data to obtain frequency-domain food spectrum data, and performing frequency-domain semantic mining on the frequency-domain food spectrum data to form a frequency-domain food semantic vector; then, performing multi-depth cross mining on the time-domain food semantic vector and the frequency-domain food semantic vector to form a time-frequency domain cross vector and a frequency-time domain cross vector; and finally, based on the time-frequency domain cross vector and the frequency-time domain cross vector, analyzing and outputting a target food detection result. Based on the method, the problem of relatively low reliability of microelement analysis in food detection in the prior art can be improved.

The invention discloses a preparation method of a gradient quality control sample for trace element analysis of superalloys, belonging to the technical fields of material preparation and element analysis. Trace elements are added to the GH4169 alloy in the invention, and then a gradient quality control sample for trace element analysis of superalloys is prepared through high-temperature multi-stage homogenization treatment, hot isostatic pressing treatment, rolling, uniformity inspection, certified value analysis and uncertainty evaluation. It provides a basis for the accurate and rapid analysis of trace elements in superalloys by the GDMS method. After calibrating the RSF with a reference material or quality control sample matching the superalloy matrix, the accuracy of the analysis data can be improved.

The application discloses a kind of determination system and method of diffusion hydrogen and residual hydrogen content in bulk metal, it is related to alloy trace element analysis technical field, system includes: angle-adjustable vacuum tube type program-controlled heating furnace, condenser tube, remote temperature table, trace bubble flowmeter, gas bag with quick connector, temperature program control machine, temperature feedback low-temperature constant-temperature circulator and gas chromatograph, angle-adjustable vacuum tube type program-controlled heating furnace is built in the bulk metal material to be measured, according to the first heating temperature curve and the second heating temperature curve of temperature program control machine output, the bulk metal material to be measured is heated in batches, so that the bulk metal material to be measured releases diffusion hydrogen and residual hydrogen in batches, so that the measurement of diffusion hydrogen and residual hydrogen is released in batches is realized.

The invention discloses a trace element content correction method and system based on a gradient standard sample, relates to the technical field of trace detection, and solves the problems of inaccurate internal standard element content determination and complex determination operation in existing trace element analysis based on a laser ablation inductively coupled plasma mass spectrometry technology. The method is technically characterized by comprising the following steps: analyzing carbonate rock samples in modern and geological historical periods, and selecting the carbonate rock samples with stable Ca and Mg contents as standard samples; respectively constructing gradient standard samples of Ca and Mg content changes based on the standard samples; establishing a correction curve of signal intensity and element content based on the gradient standard sample; correcting the Ca and Mg contents of the to-be-detected sample based on the correction curve to obtain the true Ca and Mg contents; correcting the trace element content of the to-be-detected sample based on the true content of Ca or Mg; the content of all metal elements does not need to be measured, switching measurement among multiple devices is not needed, and accuracy, high efficiency and cost effectiveness are all considered.

The invention provides a trace element dynamic calibration method and system of an X fluorescence spectrum precious metal analyzer. According to the method, firstly, in the precious metal analysis process, an internal reference standard is integrated into a precious metal sample; secondly, acquiring X fluorescence spectrum measurement data containing the characteristic signal of the internal reference standard and the characteristic signal of the trace element; comparing the characteristic signal intensity of the internal reference standard with preset reference intensity; finally, the obtained dynamic calibration parameters are used for correcting the trace element characteristic signals to complete dynamic calibration of the trace elements, and according to the technical scheme, instrument drifting and environment interference are effectively overcome, and the accuracy and result reliability of precious metal trace element analysis are improved.

The utility model relates to the technical field of trace element analysis, in particular to a trace element analyzer. The technical problem is that a common trace element analyzer is lack of a cleaning structure after detection, so that a detection structure cannot be cleaned after detection, and subsequent analysis and detection are affected due to adhesion pollution. According to the technical scheme, the trace element analyzer comprises a control host. After analysis and detection are completed, the movable detection assembly is controlled to move, cleaning after use is achieved through the cleaning assembly, cleanliness is improved, and the influence of adhered pollution on follow-up analysis and detection is prevented, so that the problems that a common trace element analyzer lacks a cleaning structure after detection, and the detection efficiency is low are solved. The problems that a detection structure cannot be cleaned after detection, pollution is easily caused by adhesion, and follow-up analysis and detection are affected are solved.

The utility model provides a trace element analyzer with an accurate quantification function, and relates to the technical field of element analyzer equipment. Comprising a detection box body, the bottom of the detection box body is fixedly connected with a placement and storage box body, by arranging the detection box body, a detection platform, an electric telescopic rod and a quantitative discharging mechanism, the personalized requirements during use are met, and a quantitative discharging box and a classified discharging bin are annularly distributed in a protective cover; when an adjusting valve operates and conveys needed trace elements into a protective cover through a conveying pipeline, the needed trace elements are screened and conveyed into corresponding quantitative discharging boxes through a plurality of classification discharging bins, valves of the corresponding number are opened according to the conveying amount, and therefore the needed trace elements enter a discharging barrel through a guide groove and are conveyed to the surface of a rotating table through the discharging barrel; and meanwhile, by means of the design of a limiting disc, the situation that unexpected falling occurs due to excessive discharged microelements is avoided, and later unified cleaning is facilitated.

The invention belongs to the field of carbonatite sedimentology, and particularly relates to a protolith recovery method for transforming cloud rock from karst. The method comprises the following steps: determining petrology characteristics of a target sample by utilizing microscopic imaging and cathodoluminescence, including cloud rock types and development characteristics, and determining a protolith type deposition sequence; on the basis, geochemical research is carried out by combining various microtechnologies (carbon and oxygen) isotope analysis, microelement analysis and rare earth element analysis), the effectiveness of geochemical data is improved, and geological constraints are provided for interpretation of the geochemical data, so that the karst erosion process of the protolith is more accurately determined, and protolith recovery is facilitated.

The invention relates to the technical field of trace element analysis, in particular to a trace element evaluation method, device and equipment and a medium. The method comprises the following steps: firstly, calculating a first change feature of a to-be-evaluated trace element, then calculating the first change feature and a second change feature of a trace element corresponding to a disease stored in a database, and calculating a similarity score between the two change features; the method also calculates a first correlation between any two of the to-be-evaluated trace elements, then calculates a second correlation between the two elements related to diseases and stored in the database, and then calculates a similarity score between the first correlation and the second correlation. And finally, based on the two similarity scores, obtaining a comprehensive score of the to-be-evaluated trace elements. According to the method, the correlation between two elements is fully considered when the comprehensive score is calculated, so that the finally obtained comprehensive score can fully reflect the disease risk.

The invention discloses a method and device for quantitatively characterizing the intensity of ancient sea invasion activity, and the method comprises the steps: collecting a drilling core sample of a target area; the method comprises the following steps: treating a drilling core sample by adopting a Soxhlet extraction method to obtain a chloroform bitumen A solution in the core sample; extracting a saturated hydrocarbon component in the chloroform bitumen A solution by adopting a component separation method; carrying out quantitative analysis on the extracted saturated hydrocarbon component, determining GI and ETR of the drilling core sample according to an analysis result, and calculating a biomarker sea invasion activity intensity index BI according to the GI and ETR; performing main trace element analysis on the drilling core sample, determining the content ratio of strontium to barium and the content ratio of magnesium to aluminum in the drilling core sample, and calculating a trace element sea invasion activity intensity index EI; according to the BI and the EI, representing the paleo-sea invasion activity intensity. The method solves the problem that the prior art cannot quantitatively characterize the influence intensity of the sea invasion activity.

This application provides a graphite material, its preparation method, a negative electrode material, and a battery. The graphite material comprises natural graphite particles and contains Fe and S elements. Trace element analysis of the graphite material using ICP reveals that the Fe content is m1 mg / kg, and the S content is m2 mg / kg, where m2 ≤ 15 and 0.13 ≤ m1 / m2 ≤ 1.6. The graphite material provided in this application exhibits a significantly reduced sulfur content, thereby decreasing impurities and improving the powder conductivity and rate performance of the graphite material.

The invention relates to the technical field of micro-element analysis, and provides a fly ash activity index detection method and system based on micro-element analysis. The method comprises the following steps: sampling a fly ash sample; analyzing the interference of granularity and moisture on microelement detection, and generating a preset granularity threshold value and a moisture content threshold value; crushing the screened sample by taking a preset particle size threshold value as a target to generate a first pretreated sample; drying the pressed sample by taking a preset water content threshold value as a target to generate a second pretreated sample; performing micro-element detection on the second pretreated sample to generate micro-element content information; and performing fly ash activity index analysis according to the content information to generate an activity index detection result. The method solves the technical problem of insufficient micro-element analysis precision caused by uneven particle size and moisture content fluctuation of the existing fly ash activity index detection method, and achieves the technical effects of effectively eliminating the interference of particle size and moisture on micro-element detection and improving the micro-element detection precision by optimizing the sample pretreatment process.

The invention discloses an aerosol element identification method and device, equipment and a medium. The method comprises the following steps: firstly, introducing a collected aerosol sample to be detected into a rotating collision pool for particle size grading so as to obtain aerosol particles distributed in different target radial areas; and then, respectively collecting spectral signals of each target radial region, and carrying out fusion processing on the signals to finally obtain an element recognition result of the aerosol sample to be detected. Compared with a traditional mixed-particle-size aerosol particle population detection method, by combining physical particle size grading with a spectrum fusion technology, the problem that weak signals in small particles are submerged by strong signals is effectively avoided, the resolving power and measurement stability of weak spectral lines are remarkably improved, the comprehensiveness of trace element analysis is guaranteed, and the detection method is suitable for large-scale popularization and application. And the accuracy and the reliability of trace element identification are obviously improved.

The present invention discloses a method for determining the genesis of granite bodies in the Heimahe area, which belongs to the field of geological engineering technology. The method takes the Triassic granite in the Heimahe area of the eastern Kunlun Mountains as the research object, and explores the genesis of the Triassic granite in the Heimahe area from the perspective of geochemical characteristics. The steps are as follows: first, grinding the sample into powder; second, analyzing and testing the major elements and trace elements in the sample to obtain major element and trace element data; then, performing correlation analysis on the major element data, analyzing the rare earth element data in the trace elements, and making a rare earth element distribution pattern diagram based on the average value after the rare earth element standardization of the sample; finally, establishing a sample genesis discrimination model, and through comparative research, determining that the sample is of crust-mantle mixed origin. The method of the present invention provides basic data for the study of the genesis of the Triassic granite in the Heimahe area.

The invention belongs to the technical field of trace element analyzers, and particularly relates to a constant-temperature trace element analyzer which comprises a supporting table, a supporting plate is fixed to the rear end of the upper side of the supporting table, a case is fixed to the front side of the supporting plate, an analysis device is fixed in the case, and a lifting detection head is fixed to the lower end of the analysis device. A display screen is fixed to the left end of the front side of the supporting plate, a control button is fixed to the right end of the front side of the supporting plate, and heat preservation sliding plates are slidably connected to the left side and the right side of the machine box. The lifting mechanism drives the protective pipe at the upper end to move to the outside of the lifting detection head, and disinfectant in the disinfectant containing box is sprayed out through the connecting hose and the spray head by the pump body, so that the lifting detection head is sterilized and disinfected, liquid residues on the surface are prevented from influencing reuse, and the detection accuracy is ensured.

The present application relates to a kind of preparation methods of pure tantalum standard sample for trace element analysis, belong to the field of chemical standard sample preparation.The design ratio is added in potassium fluotantalate Quantitative aluminum nitrate, calcium nitrate, chromium nitrate, copper nitrate, iron nitrate, manganese nitrate, ammonium molybdate, niobium pentachloride, nickel nitrate, tin tetrachloride, ammonium hexafluorotitanate, ammonium paratungstate, and potassium chloride is added in proportion, after being mixed uniformly, potassium fluotantalate is reduced using sodium heat reduction process, the obtained tantalum metal particles are coarsely crushed by jaw crusher, purified in rotary pickling tank, then high-temperature heat treatment is carried out in vacuum induction furnace, and then hydrogenation, crushing, dehydrogenation, purification, grinding, homogenization treatment and tabletting are carried out to obtain pure tantalum standard sample candidate material.Classical chemical method and instrument method are used to carry out uniformity test, stability test and value determination on each value element in pure tantalum.

This invention discloses a machine learning-based method for mineral trace element analysis, belonging to the field of mineral element analysis technology. The invention includes: collecting major and trace element data and image data of garnet, and performing preprocessing and registration; dividing the data into core source data and zonal target data according to quality and calculating their correlation; extracting and fusing multimodal mineralogical features of each data point; achieving knowledge transfer through training a transfer learning model with special constraints; predicting the trace element content of zonal target points and simultaneously providing their genetic analysis; fusing all results to generate a high-resolution genetic map and visualizing the output. This invention, through a data coupling method that integrates multi-source features and progressive transfer learning, can achieve high-confidence reconstruction and genetic inference of the trace element distribution of complex zonal structures within minerals.