66 results about "Calibration curve" patented technology

Methods of photodiode array spectrometer calibration include acquiring a first spectrum using a first spectral source of a spectrometer; finding spectral data points at pixel locations from the first spectrum; replacing the first spectral source with a second spectral source in the spectrometer; finding spectral data points at pixel locations using the second spectral source; selecting one or more of the spectral data points; generating a calibration curve by fitting the selected spectral data points to one or more functions of the calibration curve; and using the selected spectral data points and the calibration curve to calibrate the spectrometer.

To provide a gas detector that can easily detect mixed gases with high accuracy, and that can calibrate the gas sensor without using actual gas. [Solution] The system is configured to include a sensitivity setting unit 121 that sets the sensor sensitivity of the gas sensor 110 for a gas to be measured, selected from among multiple types of mixed gases in which the first to nth gas components (where n is an integer of 2 or more) are mixed in different proportions, based on composition data relating to the gas to be measured and sensitivity data relating to the sensor sensitivity of the gas sensor 110 for each of the first to nth gas components, and a calibration curve data acquisition unit 122 that acquires calibration curve data for the gas to be measured based on composition data relating to the gas to be measured and reference calibration curve data for each of the first to nth gas components.

This invention relates to the field of fatty acid detection technology, specifically to a method for determining 11 polyunsaturated fatty acids based on LC-MS / MS. The method includes: preparing a calibration solution; hydrolyzing bound fatty acids in a blood sample, adding a precipitant, centrifuging, and collecting the supernatant as the test sample; detecting the test sample using liquid chromatography-tandem mass spectrometry, and substituting the detection results into the calibration curve equation to obtain the content of the 11 polyunsaturated fatty acids in the test sample. This method can rapidly and accurately detect the content of 11 polyunsaturated fatty acids, providing a more accurate basis for clinical diagnosis and assisting in the early detection and treatment of diseases; at the same time, it can also provide more targeted nutritional advice to individuals, promoting health management.

FIELD: pharmacology.SUBSTANCE invention can be used to determine the concentration of an anti-tuberculosis drug in blood serum. The method for determining the concentration of bedaquiline in the blood serum in patients with tuberculosis or mycobacteriosis is that whole blood samples are centrifuged at 3000 rpm for 20 minutes, then the blood plasma is collected in sterile 1.5 mL Eppendorf tubes, then 900 mcL of acetonitrile are added to 300 mcL of plasma and centrifuged at 13500g for 15 minutes, then 1 mL of the supernatant is transferred to a chromatographic vial and make the assay by UHPLC MS / MS using an Athena UHPLC C18, 1.8 mcM, 120A, 2.1×100 mm chromatography column, when using an aqueous solution containing 5 g / L of ammonium acetate, 25 ml / L of concentrated acetic acid, 2 ml / L trifluoroacetic acid as mobile phase A and 100% acetonitrile as mobile phase B, the concentration of bedaquiline is determined using a pre-plotted calibration curve.EFFECT: determination of bedaquiline in human blood plasma in a time not exceeding 6 minutes.1 cl, 9 dwg, 6 tbl

This invention relates to the field of materials testing technology, and discloses a mass spectrometer calibration method, system, intelligent terminal, and storage medium. The method includes: subtracting background signal from the raw mass spectrometry data to obtain standard mass spectrometry data; performing dynamic threshold peak detection on the standard mass spectrometry data to obtain the characteristic peaks of the mass spectrometer, thereby constructing a multidimensional feature vector; performing weighted similarity evaluation on the multidimensional feature vector and a preset standard feature library to obtain a similarity value; performing threshold screening on the similarity value, and comparing the screened candidate feature vectors with the corresponding standard feature vectors in the standard feature library using multidimensional deviation to obtain a systematic deviation parameter; performing non-uniform interpolation fitting on the systematic deviation parameter to obtain a continuous calibration curve; performing point-by-point correction on the standard mass spectrometry data, and outputting the calibrated mass spectrometry data. This invention can improve the calibration efficiency of mass spectrometers.

The application belongs to the technical field of electroluminescence, and particularly relates to a preparation method of a high-entropy oxide material and application of the high-entropy oxide material in electrochemiluminescence detection of levofloxacin. The high-entropy oxide material is a kind of five-element high-entropy oxide HEO-800 material with simple raw materials, convenient synthesis, excellent electrochemiluminescence performance, which is synthesized by taking metal nitrate of Fe, Co, Cu, Zn and Ni as raw materials, and taking Na2CO3 and NaOH as raw materials. The HEO-800 material has excellent conductivity and chemical stability, and a multi-electron reaction potential accelerates the conversion of dissolved oxygen into reactive oxygen species (ROS), enhances the electroluminescence intensity, and based on the quenching effect of LVX, a method for detecting LVX by using a luminol / HEO-800 system is established. By fitting the change of ECL intensity with the concentration of LVX, a linear calibration curve is obtained, the correlation coefficient is 0.993, and the detection limit is 1.02*10 ‑5 μM (S / N=3). The material has good sensitivity, stability and reproducibility for electrochemiluminescence detection of LVX, and provides a new scheme for designing a new electrocatalyst for testing LVX.

This invention discloses a GSH-functionalized carbon dots / rhodamine B ratiometric fluorescence system, its construction method, and its application in nitrite detection. GSH-CDs are synthesized via a one-step hydrothermal method by mixing citric acid, o-phenylenediamine, glutathione, and hydrochloric acid in water. Unreacted precursors and small molecules are removed by purification, and the GSH-CDs are obtained by freeze-drying. The ratiometric fluorescence system is constructed by mixing rhodamine B, GSH-CDs, and an acidic buffer solution. The fluorescence intensity ratio F of GSH-CDs to rhodamine B is established. 460 / F 590 With nitrite (NO2) ‑ A calibration curve between concentrations was obtained, and the NO2 in the actual sample was experimentally detected using the spiked recovery method. ‑ Content. Under acidic conditions, with NO2... ‑ With increasing concentration, the GSH-CDs / RhB fluorescence intensity ratio (I 460 / I 590 Significant changes occurred, with the fluorescence intensity ratio compared to NO2. ‑ There is a good linear relationship between concentrations. Compared with the detection platform based on GSH-CDs, the ratio fluorescence system provided by this invention has a lower detection limit and significantly higher sensitivity.

The present application belongs to the field of environmental monitoring, and particularly relates to a method for synchronous recovery and evaluation of intracellular and extracellular viruses in medical sewage. The present application adopts VIRADEL enrichment and utilizes the cell interception effect formed by the filter cake layer to realize synchronous concentration and evaluation of extracellular virus particles and cell components carrying intracellular lytic phages. B. phage BPH2 is first introduced as an intracellular phage substitute, a qPCR calibration curve and a quantitative system are established based on the conserved region of the lytic phage, the quantifiable calibration of intracellular recovery efficiency is realized, and the comparability and traceability of the results are significantly improved. Through matrix control and de-inhibition screening, the inhibition and loss caused by complex hospital sewage are controlled, and the accuracy and stability of recovery and detection are improved. The overall process is standardized, simple to operate, and can be popularized, and is suitable for application scenarios such as hospital sewage virus monitoring and risk assessment.

The present application relates to the technical field of pesticide detection, and particularly relates to a rapid detection system for pesticide residues in grain. A portable device such as a mobile phone is used to collect an image of a reaction area of a detection reagent, and a standardized sub-image set of a sample detection area, an environmental reference area and a concentration reference area is obtained by segmentation. After the environmental reference correction image, the concentration reference area data is fitted to generate a dynamic calibration curve and calculate the goodness of fit. A high-dimensional visual feature vector of the sample area is extracted, a pre-trained model is input in combination with the calibration curve, and an estimated concentration of pesticide residues and an abnormality determination result are obtained. Finally, the overall confidence is calculated by comprehensively considering multiple indexes, and a standard detection report is generated according to a threshold value. The present application can realize rapid and accurate detection of pesticide residues in grain in a complex scene.

This invention discloses a measurement method for a microscale temperature field sensing chip based on frequency conversion luminescence technology, belonging to the field of temperature measurement technology. The invention uses temperature as the abscissa and fluorescence intensity ratio as the ordinate, obtaining a functional relationship between fluorescence intensity ratio and temperature, i.e., a temperature calibration curve, through data fitting. One side of the luminescent material film layer of the sensing chip is attached to the surface being measured. Images of the corresponding wavelength bands of characteristic emission peaks A and B are acquired, and pixel-level processing is performed on the two grayscale images to calculate the grayscale ratio of each pixel. The grayscale ratio of each pixel is substituted into the temperature calibration curve to obtain the temperature value corresponding to that pixel. Through image rendering technology, the temperature data is mapped to corresponding color information, generating a visualized temperature field image reflecting the temperature distribution of the measured area, thus intuitively presenting the spatial distribution of temperature.

A system and method for in-situ quantitative assessment of Bovine Mastitis (BM) in collected milk samples using optical imaging is disclosed. A bio-functionalized assay tray contains multiple wells, each having a gel with a specially prepared mixture of hemoglobin (Hb) and metal ions. At least one of the wells is filled with a reference milk sample which is characteristic of milk with no BM disease. Other wells are filled with collected milk samples. After waiting an interaction time, luminol and hydrogen peroxide solutions are added to the wells, causing chemiluminescent (CL) light emission. The intensity of CL light emitted by wells containing haptoglobin (Hp) is inhibited due to Hb-Hp binding. After waiting a CL light stabilization time, the tray is placed in a dark box, and a camera and image processor are used to analyze the CL light intensities. A calibration curve yields the Hp concentration in each well.

This application relates to an interactive ultrasonic radar driving test method and system. The method includes: responding to an acquired ultrasonic radar model identification code, matching the corresponding configuration scheme according to the ultrasonic radar model identification code to obtain a configuration frame; parsing the configuration frame to obtain configuration data and a configuration status frame; responding to an acquired calibration start command, performing interactive calibration based on the sensor connection channel and the configuration data to obtain calibration data and a calibration status frame; the calibration data includes calibration curves, error indicators, and anomaly flags; responding to an acquired test start command, performing driving tests based on the sensor connection channel and the configuration data, and correcting based on the calibration data to obtain test results. This method can achieve multi-model adaptation, interactive correction, and anomaly detection of ultrasonic radar sensors through frame communication mechanisms and state-driven logic, improving overall testing efficiency and the reliability of inspection results.

This invention belongs to the field of electroluminescence technology, specifically relating to a method for preparing a high-entropy MOF material and its application in the electrochemiluminescence detection of rifampicin. The high-entropy MOF material is a pentagonal high-entropy MOF material (HE-ATA) synthesized from metal nitrates of Fe, Co, Cu, Cr, and Zn and ATA as raw materials. This invention yields a HE-ATA catalyst with simple raw materials, convenient synthesis, and excellent electrochemiluminescence performance. It exhibits chemical stability and a multi-electron reaction potential that accelerates the conversion of dissolved oxygen to reactive oxygen species (ROS), enhancing the electroluminescence intensity. Based on the quenching effect of RIF, a method for detecting RIF using a luminol / HE-ATA system was established. By fitting the change in ECL intensity with RIF concentration, a linear calibration curve with a correlation coefficient of 0.996 and a detection limit of 3.3 × 10⁻⁶ was obtained. ‑6 µM (S / N=3). This material exhibits good sensitivity, stability, and reproducibility in the electrochemiluminescence detection of RIFs, providing a new approach for designing novel electrocatalysts for RIF detection.

The application discloses a method for determining the content of combustible gas in steam. The sample is collected by the drainage gas collection method: the gas collection container filled with distilled water is inverted in the sink, steam is introduced to condense, the original water in the bottle is replaced and discharged by using the condensed water, so that the non-condensable combustible gas is collected at the top of the bottle, and the air is isolated by the water seal. Then, the standardized syringe sampling is carried out: after being cleaned and lubricated for multiple times, the airtight syringe is used to pass through the bottle plug and draw a certain amount of gas under the liquid surface, and is quickly sealed to avoid pollution. Finally, the sample is analyzed by the gas chromatograph, and the content of the combustible gas in the steam is quantitatively calculated based on the calibration curve or the correction factor established based on the known concentration standard sample. The application has the advantages of strong anti-interference, standard operation, good sample representativeness and low cost, and is especially suitable for accurate monitoring of low-concentration combustible gas.

The application discloses a kind of methods for rapidly determining sludge organic matter, specifically comprising the following steps: step one: preparation reagent and material;Step two: preparation experimental instrument;Step three: sample collection and pretreatment;Step four: first, the instrument is debugged, after debugging, calibration curve is drawn, finally, sample is analyzed;Step five: total organic carbon concentration is calculated using difference subtraction and direct method;Step six: finally, the precision and accuracy of experiment are calculated.The method for determining sludge organic matter provided by the application using total organic carbon analyzer has by the sample together with the purified gas is respectively introduced into high-temperature combustion tube and low-temperature reaction tube, the sample in high-temperature combustion tube is high-temperature catalytic oxidation, the organic carbon and inorganic carbon therein are all converted into carbon dioxide, the sample in low-temperature reaction tube is acidified, and the total carbon and inorganic carbon of the sample can be quantitatively determined, effectively improving the stability and accuracy of detection.

This invention belongs to the field of fluid dynamics and optical measurement technology, specifically a method and system for calibrating temperature-sensitive particles based on laminar thermal boundary layers. The method includes: constructing a stable flow state of a laminar thermal boundary layer using a flow generator; dispersing temperature-sensitive particles to be calibrated in the fluid; solving the fluid dynamics equations across the entire flow field based on boundary conditions; correcting the analytical results of the fluid dynamics equations based on fluid dynamics simulation results; shaping a laser into a sheet-like excitation beam to excite the temperature-sensitive particles; and obtaining the position and luminescence characteristics of the temperature-sensitive particles through data processing; and calibrating the temperature-sensitive particles by adjusting the flow boundary conditions of the environment in which the particles are located. This invention achieves fully automated processing from the original image to the calibration curve by employing image processing and data fitting algorithms to automatically extract the particle luminescence characteristics, thus improving the objectivity and processing efficiency of the calibration data.

The application discloses a kind of methane and propane component identification method based on laser absorption spectrum gas telemetry, comprising: S1 obtains the harmonic signal of the gas to be measured, and looks for wave trough in the range of harmonic signal 100~350;According to the width of wave trough, judge whether the gas to be measured is single propane;When judging that the gas to be measured is single propane, identification ends, enters S2 and gives propane concentration value;Otherwise, enter step S3;S3 considers that the gas is methane and propane mixed gas, judges the proportion of mixed gas. The peak valley difference of peak 1 and peak 2 is obtained, the concentration coefficient of peak 1 and peak 2 is obtained according to the peak valley difference and standard gas calibration curve, the ratio of the absolute value of concentration value obtained according to peak 1 and peak 2 is obtained, and the ratio of methane and propane is obtained, enters S4;S4 gives methane concentration value and propane concentration value according to the ratio of methane and propane respectively.The application can realize component identification and accurate concentration detection, and has important guiding significance in the field of alkane gas telemetry technology.

This invention discloses a method for determining the thickness of electrochemically deposited gold, silver, and palladium noble metal capping layers, comprising the following steps: 1) preparing standard samples by electrochemically depositing nickel of different thicknesses onto a pure copper substrate, followed by gold, silver, and palladium plating; 2) testing the capping layer thickness of the standard samples using scanning electron microscopy (SEM) backscattered electron imaging technology; 3) testing the intensity of X-ray characteristic spectral lines of different capping layer thicknesses using SEM energy dispersive spectroscopy (EDS) technology, and determining optimized test conditions; constructing a surface capping layer thickness calibration curve based on SEM EDS technology; 4) detecting the electrochemically deposited capping layer thickness of different types of samples. This method can accurately determine the thickness of bonding lines or thin films of noble metal capping layers prepared by electrochemical deposition processes in the integrated circuit field, filling the technical gap of rapid measurement for such products. The detection process is convenient and fast, and the detection results are accurate and consistent.

This invention relates to the field of spectroscopic detection technology, specifically disclosing a method and system for determining the composition of titanium alloys based on a spectrometer. The method includes: acquiring raw spectral data of a titanium alloy sample using a spectrometer, filtering high-frequency noise from the raw spectral data to obtain clean spectral data; detecting local minima in the clean spectral data to construct a baseline profile of the titanium alloy sample, and performing drift calibration on the baseline profile to obtain optimized spectral data; comparing the characteristic wavelength heights of adjacent elements and integrating the obtained peak data into characteristic spectral peaks; performing similarity matching between the characteristic spectral peaks and wavelengths in a preset element characteristic wavelength library to determine the intensity of the characteristic peaks; extracting element concentration data and correlating the element concentration data with the intensity of the characteristic peaks to construct a calibration curve; mapping the optimized spectral data to the calibration curve to generate composition ratio data. This invention can improve the efficiency of spectrometer-based titanium alloy composition determination.

Methods, compositions, kits, and apparatuses for MS-based quantification of a target analyte (e.g., a peptide, a hormone) in a sample are provided for increasing the productivity and / or throughput of samples by reducing the time and / or cost associated with conventional techniques for external instrument calibration that typically utilize a series of calibrators that are sequentially run through the same analytical process as a batch of samples. In various aspects, calibration mixtures are provided containing a known quantity of a plurality of calibrants for a target analyte of interest, with each calibrant being distinguishable in the calibration mixture by mass spectrometry such that a complete calibration curve can be generated from a single external calibration run.

The present application relates to dichlorodihydrogen silicon detection technical field, especially in kind, a kind of dichlorodihydrogen silicon metal impurity test method, comprising: dichlorodihydrogen silicon is passed into chemical vapor deposition reaction cavity, and epitaxial layer is formed on the surface of substrate, and sample substrate is obtained;Preparation is not passed into dichlorodihydrogen silicon blank substrate;Sample substrate and blank substrate are respectively immersed in two etching liquids and are completely digested, another one is blank control, three etching liquids are collected and constant volume is made;The metal impurity concentration in sample digestion liquid, blank substrate digestion liquid and reagent blank liquid is detected respectively;The metal impurity mass concentration of epitaxial layer is calculated and substituted into the calibration curve generated in advance, and the concentration of metal impurity in the measured dichlorodihydrogen silicon is obtained;By enriching the metal impurity in gaseous DCS in solid-state epitaxial layer, then the impurity is transferred to liquid phase by acid digestion epitaxial layer, and then the standard method such as ICP-MS is used for detection, which greatly improves the safety and accuracy of detection.

This invention proposes a clinical prediction model and design method for the probability of developing anal fistula in Crohn's disease patients, belonging to the field of clinical medical technology. The risk prediction model includes: an input module receiving patient parameters consisting of age at diagnosis, biological agent mode switching, and Montreal manifestation classification at initial diagnosis; a processing module connected to the input module, calculating the assessment and prediction probability of anal fistula in Crohn's disease patients based on the age at diagnosis, biological agent mode switching, and Montreal manifestation classification data at initial diagnosis, according to the following formula; and an output module connected to the processing module, outputting the risk probability of anal fistula in Crohn's disease patients obtained from the risk prediction model. The prediction model is validated on the training and validation sets using the area under the receiver operating characteristic (ROC) curve and a calibration curve to determine its discriminative power and calibration. It can accurately predict the risk of anal fistula in Crohn's disease patients before treatment.

This invention provides an oil concentration measuring device and an oil concentration measuring method. An oil concentration measuring device for cleaning solutions is provided that does not require expensive spectroscopic elements, detection elements, etc. The oil concentration measuring device (10) comprises: a light irradiation unit (104) that irradiates the target liquid (cleaning solution) with irradiation light having a measurement wavelength, the measurement wavelength being a predetermined wavelength between 280 nm and 300 nm; a transmitted light detection unit (105) that measures the intensity of transmitted light obtained by the irradiation light passing through the target liquid; and an oil concentration determination unit (1061) that calculates the absorbance of the target liquid at the measurement wavelength based on the intensity of the transmitted light measured by the transmitted light detection unit (105), and determines the oil concentration in the target liquid based on the absorbance value and a calibration curve representing the relationship between the oil concentration at the measurement wavelength and the absorbance.

The application discloses a kind of 18 The application discloses a risk prediction method for myocardial physiological uptake of F-FDG PET / CT tumor imaging, candidate clinical data of malignant tumor patients who have undergone examination are collected, independent risk factors for myocardial physiological uptake are determined by using single factor and multi-factor logistic regression analysis, and a logistic regression prediction model and multiple machine learning prediction models are established. The ROC curve analysis is used to select the pending prediction model with the largest AUC value. Furthermore, the application evaluates whether the pending prediction model is the best prediction model through calibration curve analysis and decision curve analysis. The best prediction model can be used to predict whether a new patient has the risk of myocardial physiological uptake before the examination, which has the advantages of fast prediction speed, high accuracy and reliability.

The application discloses an element concentration detection method based on laser-induced breakdown spectroscopy, and belongs to the technical field of laser spectrum analysis. The method comprises the following steps: acquiring plasma electron temperature, electron number density and element interference in LIBS of an unknown sample, and then acquiring energy and area of a plasma acoustic spectrum image corresponding to the unknown sample; inputting five features corresponding to the unknown sample into a mapping relationship to obtain a standard spectrum deviation, so as to correct an actual spectrum of a spectrum line to be corrected and obtain a corrected spectrum after elimination of a matrix effect; and finally, substituting the corrected spectrum into a calibration curve to obtain an element concentration after elimination of the influence of the matrix effect. The application summarizes main factors influencing spectral intensity due to the matrix effect, extracts features from LIBS and a plasma acoustic spectrum image, performs fitting and correction on the deviation of each spectrum, and has the advantages of clear physical meaning, no need for pretreatment, no need for complicated parameter adjustment, low cost and small amount of calculation compared with existing methods.

This processing device acquires an absorption spectrum of a droplet to be measured and calculates the concentration to be measured on the basis of: calibration curve data indicating a relationship between the concentration and a slope when the absorption spectrum is first-order differentiated; and the slope when the acquired absorption spectrum is first-order differentiated.

The application discloses a pressure type liquid level meter remote calibration method and system based on an Internet of Things, and belongs to the field of instrument detection and calibration. The method comprises the following steps: collecting multi-source sensing data containing pressure, medium temperature and ambient atmospheric pressure; performing adaptive median filtering to remove impulse noise and Gaussian weight-based moving average smoothing processing on the pressure data in sequence; based on the preprocessed data, a nonlinear environmental compensation model is constructed by using a recursive least square method with a forgetting factor to dynamically track the nonlinear drift of the sensor; based on the real-time correction coefficient output by the model and the standard calibration curve, the calibration offset is calculated, the calibration instruction is generated, and the parameter update is executed to the terminal; through end-cloud cooperation and multi-source data fusion, the application realizes remote calibration and predictive maintenance with high precision and high safety, and significantly improves the measurement reliability and maintenance efficiency of the liquid level meter under complex working conditions.

This invention relates to the field of condition monitoring technology, and in particular to a method and system for condition monitoring of photovoltaic energy storage devices based on FPGA. The method includes the following steps: acquiring FPGA structure data; deploying a ring oscillator unit in the idle logic resource area of ​​the FPGA based on the FPGA structure data, and configuring a leakage current measurement channel on the FPGA programmable I / O pins to obtain leakage current measurement channel configuration data; collecting RO oscillation frequency data and gate leakage current data according to the leakage current measurement channel configuration data; and mapping and calculating the RO oscillation frequency data and gate leakage current data based on preset temperature calibration curves and voltage calibration curves, respectively. This invention, through high-precision real-time monitoring and multivariate regression modeling based on FPGA, effectively improves the diagnostic accuracy and intelligent early warning capability of temperature and stress in key areas of photovoltaic energy storage devices, solving the problems of insufficient accuracy, real-time performance, and specificity of traditional monitoring systems.