14 results about "Simple sample" patented technology

The application discloses a seminal plasma metabolic biomarker combination for male infertility spermatogenesis obstacle typing diagnosis, and relates to the field of biological science and technology.The application records the metabolic fingerprints of 475 seminal plasma samples by means of nanoparticle-enhanced laser desorption / ionization mass spectrometry, and constructs a seminal plasma metabolic fingerprint database related to spermatogenesis obstacle (SPGF). Then, through machine learning and statistical analysis, six metabolic biomarkers for SPGF typing diagnosis are screened and identified in the seminal plasma, and the six metabolic biomarkers can realize accurate typing of SPGF (AUC=0.814). The application has the advantages of simple sample pretreatment, fast analysis speed and low cost by means of recording the metabolic fingerprints of seminal plasma by means of nanoparticle-enhanced laser desorption / ionization mass spectrometry. Through the synthesized iron oxide nanoparticles as a matrix, small molecule metabolites in the seminal plasma can be efficiently captured and ionized, and complex pretreatment steps such as deproteinization and chromatographic separation are not needed, so that super-fast analysis, super-high sensitivity, extremely low sample consumption and excellent repeatability detection are realized.

The invention discloses a model training method and device, and relates to the technical field of machine learning, and the method comprises the steps: carrying out the training of a target model through a training set in a data set, and obtaining an evaluation index of each sample; dividing each to-be-divided sample into a simple sample or a difficult sample according to the evaluation index; and discarding the simple samples, and returning to execute the next round of training based on the adjusted data set until the preset round of training is completed. According to the method, all key operations are completed in the training process, so that the sample division does not need to start any calculation process independent of model training, and independent links such as preprocessing, post-processing or special index calculation are avoided; and the scale of a data set of subsequent training is dynamically reduced by discarding the sample subsets which are divided into simple samples after each training round, so that the model training pays more attention to difficult samples, the data volume which needs to be processed in subsequent iteration of the model is directly reduced, and the calculation resources are saved and the training efficiency is improved.

The utility model relates to the technical field of sample preparation equipment, in particular to a simple sample preparation machine for a thick-wall PVC pipe sample. Comprising an upper die device and a lower positioning device, the lower positioning device comprises a bottom plate, a movable plate, a base plate and a jack, and the upper die device comprises an upper fixing plate, a connecting plate and a material pressing die; the jack is fixedly connected with the bottom plate, the movable plate can move up and down under the action of the jack, the upper fixed plate is elastically connected with the movable plate, and the base plate is fixedly connected with the movable plate; the pressing die for sample preparation is arranged below the connecting plate; the upper mold device is further provided with a sample plate demolding pin and a reset spring which are used for enabling the upper mold device to reset automatically after sample preparation. According to the thick-wall PVC pipe tensile sample manufacturing machine tool, large-diameter thick-wall pipe samples can be manufactured according to the shapes of the test pieces, the sizes of the manufactured samples meet the standard requirement and have accuracy, the sample manufacturing machine is simple in structure, small in size and convenient to operate, and the tensile detection requirement of the samples is met.

The invention discloses a method for detecting folic acid and derivatives thereof. The method comprises the following steps: 1) detecting by adopting fluorescent liquid chromatography to obtain peak appearance time and a peak area-folic acid concentration linear equation corresponding to each folic acid monomer and folic acid precursor; and 2) preparing a to-be-detected sample into a folic acid extracting solution, performing fluorescent liquid chromatography detection, and obtaining the types and contents of folic acid monomers and folic acid precursors in the to-be-detected sample according to the appearance time and the peak area-folic acid concentration linear equation in the step 1). The method for detecting folic acid and derivatives thereof has the advantages of high degree of separation and sensitivity, good repeatability and stability, simple sample pretreatment, low detection cost, high detection efficiency and the like, and is suitable for accurate quantitative analysis of folic acid content in food such as mushrooms, corn, soybeans, rice, potatoes, spinach and the like.

The application discloses a method for identifying the authenticity or year of brewed wine based on dynamic light scattering, comprising the following steps: (1) taking a brewed wine standard product, adding different exogenous substances into the brewed wine standard product respectively, dissolving and mixing uniformly, and then performing membrane treatment to obtain a standard product sample; (2) determining the hydrodynamic average radius of each exogenous substance in the standard product sample by dynamic light scattering, and obtaining the hydrodynamic average radius basic data of the corresponding exogenous substance in the standard product; (3) taking a to-be-detected brewed wine, and performing the same treatment as steps (1) and (2) on the to-be-detected brewed wine to obtain the hydrodynamic average radius data of the corresponding exogenous substance in the to-be-detected brewed wine; and (4) comparing the hydrodynamic average radius data of the corresponding exogenous substance in the to-be-detected brewed wine with the hydrodynamic average radius basic data of the corresponding exogenous substance in the standard product, and identifying the authenticity or year of the to-be-detected brewed wine. The application has the advantages of small sampling amount, simple sample pretreatment and analysis process, and less interference in the detection process.

The invention discloses a zebra fish-based spatial resolution lipidomics method, and belongs to the technical field of biological medicines. The zebrafish-based spatial resolution lipidomics method provided by the invention comprises the following steps: separating a zebrafish trunk from yolk; sample pretreatment and chromatography-mass spectrometry detection. According to the method, yolk is sucked by a pipettor, trunks are cleaned in batches by a vortex instrument, after the trunks and the yolk are pretreated, a sample is subjected to lipidomics detection by an ultra-high performance liquid chromatography tandem quadrupole electrostatic field orbitrap high-resolution mass spectrometer, and further data analysis is performed. According to the method, the trunk and yolk samples which can be used for high-quality and high-coverage lipidomics analysis are obtained while high sample flux is maintained for the first time, and regionalized analysis of zebrafish embryo / larva lipid metabolism is realized. The method has the advantages of simple sample mechanism, low lipid signal interference, high sensitivity and the like, and can detect inrecognizable subtle changes and key lipid molecules in the whole sample.

The application discloses a method for quantitatively analyzing 21 arginine synthesis metabolites in mouse liver, kidney and serum based on liquid chromatography-mass spectrometry technology and application of the method in cantharidin hepatorenal toxicity research. The method comprises the following steps: preparing 21 metabolites and two internal standard solutions; optimizing mass spectrometry multiple reaction monitoring parameters; performing sample analysis after protein precipitation by acetonitrile, nitrogen blowing dry and 50% methanol water reconstitution; and establishing eight concentration level standard curves and adopting a weighted least square method to fit a linear equation. Methodology verification shows that the linear relationship of each metabolite is good (r 2 >0.99), and the precision, accuracy, matrix effect, recovery rate and stability all meet the requirements of biological sample analysis. The method has simple sample pretreatment, high sensitivity and strong specificity, is successfully applied to determination of the content of 21 arginine metabolites in a mouse hepatorenal toxicity model caused by cantharidin, and provides a reliable analysis tool for arginine metabolism research and cantharidin toxicity mechanism exploration.

The application belongs to the technical field of pharmaceutical analysis, and relates to a method for detecting residual acetic acid in a clilborol raw material by high performance liquid chromatography. An octadecylsilane bonded silica gel is used as a filling agent of a chromatographic column, 0.1% phosphoric acid aqueous solution is used as a mobile phase A, and acetonitrile is used as a mobile phase B to perform gradient elution. The detection method has the advantages of simple sample processing, strong specificity, good durability, and high detection sensitivity.

The embodiment of the invention relates to the technical field of target tracking, in particular to a multi-target association method and system, computer equipment and a storage medium. The method mainly comprises the steps of obtaining a plurality of candidate detection frames corresponding to a plurality of to-be-associated targets in current frame data, taking each to-be-associated target and the plurality of candidate detection frames corresponding to the to-be-associated targets as a sample, determining the sample type of each sample, extracting appearance features of the candidate detection frames in difficult samples and the to-be-associated targets, and determining the target type of the to-be-associated targets according to the appearance features of the candidate detection frames in the difficult samples and the appearance features of the to-be-associated targets. And based on a preset classification model, obtaining association probability data according to the basic detection frame characteristics of the simple samples, the basic detection frame characteristics of the difficult samples and the appearance characteristics, and determining a target detection frame having an association relationship with each to-be-associated target from the plurality of candidate detection frames according to the association probability data and a preset matching algorithm. By adopting the method, the accuracy of target object recognition can be improved.

The invention discloses a quantitative detection model for multi-element heavy metals in a paper packaging material and application of the quantitative detection model. According to the model, to-be-detected heavy metal elements in the paper food packaging material are calibrated by making a standard sample to obtain a standard curve, and through multiple times of test fitting, the influence of background noise on result accuracy is eliminated, and the detection limit is effectively reduced, so that the test sensitivity is improved; the sample is subjected to simple tabletting treatment, so that the X-ray excitation intensity can be enhanced, and the detection limit is effectively reduced; on the basis of a common energy spectrum X-ray fluorescence method, a bent crystal monochromatic X-ray fluorescence method is introduced, so that the detection limit of trace heavy metals can be effectively reduced. The method has the advantages of being simple in sample pretreatment, high in detection speed, high in accuracy and the like, the heavy metal detection capacity and efficiency in the paper packaging material can be remarkably improved, and the quality and safety of the paper packaging material are effectively guaranteed.

The embodiment of the invention provides a data set construction method and device, equipment, a medium and a product, and relates to the field of data processing.The method comprises the steps that firstly, an initial sample containing a natural language problem, a database mode and a standard structured query statement is obtained; then calculating a three-axis difficulty evaluation value of the sample from three dimensions of grammar complexity, expert heuristic difficulty and model experience difficulty to quantify a training value, and finally screening out the sample of which the evaluation value is in a preset interval to construct a seed data set, thereby getting rid of dependence on manual writing and screening of the sample; the human cost and the time cost of data set construction are reduced, samples in a moderate difficult interval are screened out through a three-axis difficulty evaluation system, difficulty distribution of training samples is balanced, it is ensured that the model can accept reasonable challenges in the learning process to achieve capability advancement, the situation that the difficult samples fall into learning bottlenecks is avoided, and the learning efficiency is improved. The training stagnation caused by simple samples is avoided, and the data set construction efficiency is improved.

This invention provides a kit based on a three-phase enzyme-linked immunosorbent assay (ELISA) and its application. The construction of the three-phase ELISA sensor in the kit mainly includes the following steps: first, selecting a hydrophobic substrate, washing and pretreating it; second, immobilizing the coated antigen and oxidase on the substrate. This invention develops a competitive immunoassay method based on a three-phase substrate and applies it to the detection of 5-fluorouracil. This invention utilizes the specific immunoreaction between a collaboratively developed 5-fluorouracil monoclonal antibody and the antigen to quantitatively detect 5-fluorouracil, improving the selectivity for the target analyte. This immunosensor uses inexpensive equipment, is easy to operate, has high detection efficiency, simple sample processing, and exhibits a wide linear range and a high detection upper limit, making it easy to popularize and cost-effective, thus possessing high practical value.

The invention discloses a method for simultaneously determining the content of menthol, WS3 and WS23 in electronic cigarette liquid based on Raman spectrum, and belongs to the technical field of analysis and detection. The method comprises the following steps: preparing a standard solution and a sample solution by using a mixed solvent, synchronously introducing a nano reinforcing material as a reinforcing medium into the standard solution and the sample solution, collecting a Raman spectrum, extracting a characteristic peak signal of a target component, and establishing a standard working curve to realize synchronous quantitative analysis of menthol, WS3 and WS23. The method has the advantages of simple sample pretreatment, fast detection speed, high sensitivity and accurate and stable determination result, and is suitable for rapid detection and quality control of a plurality of cooling agents and flavor components in the electronic cigarette liquid.

The application discloses an electrochemical aptamer sensor for high-sensitivity detection of alpha-amatoxin and a preparation method and application thereof, and belongs to the technical field of electrochemical detection. The working electrode of the sensor is a glassy carbon electrode, gold nanocrystals are used to modify the electrode first, then aptamers are connected to the gold nanocrystals through gold-sulfur bonds, and the remaining active sites are closed by using mercaptohexanol. The electrochemical aptamer sensor has high selectivity and sensitivity for alpha-amatoxin, and has the advantages of simple sample pretreatment steps, rapidness and convenience. The detection result of an actual human sample is satisfactory. The electrochemical aptamer sensor prepared by the application has been successfully applied to the detection of alpha-amatoxin in human urine, and has the advantages of extremely low detection limit, wide detection range, excellent selectivity and stability.