19 results about "Response factor" patented technology

A gas chromatograph (100) for analyzing content of a gas sample includes a sample gas inlet configured to receive the gas sample and a carrier gas source (114) which provides a carrier gas. A separation column (120) is configured such that individual component gases in the sample gas separate as they move through the separation column (120). A first sample valve (112) is coupled to the sample gas inlet, the carrier gas source (114) and to a sample loop which is configured to contain a sample volume of the gas sample. The first sample valve (112) injects the sample volume into the separation column (120) and individual component gases in the sample gas separate as they move through the separation column (120). A detector (122) detects a concentration of an individual component gas as a function of a sensitivity of the detector (122). A controller (108) changes a response factor of the gas chromatograph by changing at least one of the sensitivity of the detector (122) and the sample volume.

The invention relates to a setting method (100) for a gas analysis device (10), in which method at least a first response factor (28) for a first substance sample component (21) is determined by means of a calibration gas mixture (15). On this basis, a first response function (31) is determined. Furthermore, a device parameter data set (25) having at least one device parameter (26) is detected and linked to a first response function (31). On the basis of the first response function (31), a second response function (32) for the second substance sample component (22) is determined by means of the transformation function (30). The first response function and the second response function (31, 32) are defined as a measured operating parameter (45). The transformation function (30) can be set using the device parameter data set (25). The invention further relates to a correspondingly designed computer program product (65) and to an evaluation unit (60). The invention also relates to a gas analysis device (10) and a system (50) having such an evaluation unit (60), belonging to such a gas analysis device (10).

The invention discloses a high-flux mixed solution quality control method based on relative response factors. According to the method, by introducing an internal standard reference substance and calculating a relative response factor Rr of each target analyte relative to the internal standard, synchronous and rapid calculation and stability dynamic evaluation of all component concentrations in a solution are realized, and the method comprises the following steps: selecting and preparing an internal standard solution; analyzing the mixed solution and the internal standard under the same condition to obtain a chromatographic peak area; calculating Rr; monitoring the change of Rr along with time to judge the component stability; and calculating the current concentration of each component based on the stable Rr value and the interior label information. According to the method, only one or a small number of internal standards are needed to replace a single standard prepared for each component in a traditional method, consumption (about 90%) and workload of standard substances are remarkably reduced, unstable components can be sensitively recognized, and an efficient, economical and reliable quality control solution is provided for high-throughput detection in the fields of environmental monitoring, food safety and the like.

Provided is a method for predicting spectral interference in a mass spectrometry method employing an inductively coupled plasma mass spectrometry device. According to the present invention: a mass spectrometry method and an associated response coefficient are selected from a database in which a plurality of mass spectrometry methods each defining a mass spectrometry condition and a response coefficient indicating a correlation between an element and the signal strength of the element for each mass spectrometry method are stored; an application is selected from an application library in which applications specifying the types and contents of elements are collected; signal strengths indicating each element specified in the selected application and a signal strength indicating an interference component for each element are estimated; and spectral interference predicted for each element is displayed.

The present invention belongs to the technical field of organic screening, and specifically relates to a preferred method for replacing standard substances in the semi-quantitative process of non-standard substances. The preferred method includes: obtaining the response factor and multiple molecular fingerprints of the standard substance; using several similarity calculation methods for the various molecular fingerprints of each standard sample, respectively, to calculate the similarity between each standard sample and other standard samples, and selecting other standard samples with the highest similarity as substitutes based on the obtained similarity matrix; error evaluation, obtaining the optimal circular fingerprint, structural bond fingerprint and topological fingerprint types and the optimal similarity calculation method; generating a composite fingerprint; evaluating the response factor error of the optimal structural bond fingerprint, circular fingerprint and topological fingerprint with the composite fingerprint, and selecting the molecular fingerprint with the smallest error and the similarity calculation method. The present invention achieves the effect of minimizing the semi-quantitative error of non-standard substances by evaluating the quantitative errors of different molecular fingerprint types and similarity calculation methods for characterizing chemicals.

The application discloses a coal mine building foundation settlement prediction system and method based on a multi-source intelligent sensor, belongs to the technical field of coal mine building monitoring, and is characterized in that multi-source sensors such as settlement displacement, inclination, pore pressure, water potential and microseismicity are arranged in a building foundation area, non-settlement characteristic signals in a fixed time period are collected, and a multi-source original data set is constructed; non-displacement disturbance characteristics are extracted through wavelet transform and phase analysis to form a characteristic sequence matrix; the characteristic sequence matrix is input into a deep time graph neural network combined with time evolution weight and spatial coupling structure, and a foundation settlement prediction response sequence is output; error inversion is performed in combination with measured data, deep response factors are identified, and a cause graph is constructed; finally, a risk function is established based on risk factors and the prediction sequence, settlement risk grade division and regional early warning are realized, and the application has the advantages of response preposition, causal explainability and risk quantification and is suitable for settlement prediction and hierarchical control under complex geological environments.

Embodiments in accordance with the present invention relate to methods for quantifying overlapping chemical signals in environmental analysis without any substantial modification of instrumental analysis parameters. Methods in accordance with embodiments of the present invention are capable of resolving overlapping chemical signals (peaks) in chromatographic analysis when it is not possible to realize both normal conditions for separation: in time as the chemicals elute from the chromatographic column and by mass fragment ions created in the mass spectrometer. A method in accordance with embodiments of the present invention involves the use of component response factors to achieve quantification.

A gas chromatograph for analyzing content of a gas sample includes a sample gas inlet configured to receive the gas sample and a carrier gas source which provides a carrier gas. A separation column is configured such that individual component gases in the sample gas separate as they move through the separation column. A first sample valve is coupled to the sample gas inlet, the carrier gas source and to a sample loop which is configured to contain a sample volume of the gas sample. The first sample valve injects the sample volume into the separation column and individual component gases in the sample gas separate as they move through the separation column. A detector detects a concentration of an individual component gas as a function of a sensitivity of the detector. A controller changes a response factor of the gas chromatograph by changing at least one of the sensitivity of the detector and the sample volume.

The invention provides a method for measuring the moisture content of an anticorrosive coating based on gas chromatography, which comprises the following steps: carrying out gradient dilution and constant volume on water by using a diluting solvent to prepare a plurality of standard solutions; carrying out gradient dilution and constant volume on the internal standard substance by using a diluting solvent to prepare an internal standard solution; placing the standard solutions with different volumes in a volumetric flask, adding a quantitative internal standard solution, and supplementing a diluting solvent to a target volume to obtain a plurality of groups of working solutions; performing gas chromatography detection on each group of working solutions by adopting a single-point relative response factor test method to obtain the peak area of water, the peak area of the internal standard substance and the relative response factor of water; taking the peak area ratio as an abscissa and the relative response factor as an ordinate, constructing a plurality of candidate functions based on a preset function, and obtaining a fitting curve expression; calculating goodness of fit of each candidate function, and selecting the candidate function with the highest goodness of fit as a target function; measuring a to-be-measured sample to obtain target data, and substituting the target data into the target function to obtain the moisture content. The determination method improves the accuracy of the moisture content test result.

The invention relates to the technical field of near-far field transformation processing, in particular to a multi-module-integrated spherical near-field-to-far-field rapid transformation calculation method, which comprises the following steps: reading a field identification angle label and extracting measurement data, generating a complex field by frequency clustering normalization amplitude, matching a directional diagram to extract an amplitude-phase factor compensation complex field, and calculating the near-field-to-far-field rapid transformation of a spherical surface. And generating direction distribution according to the included angle superposition complex field, and extracting module length and argument to generate an amplitude-phase mapping set. According to the method, structured measuring point data are constructed by extracting angle labels, amplitude-phase consistency is enhanced by combining frequency clustering and amplitude normalization, direction corresponding precision is improved by utilizing angle difference matching, a direction response factor is introduced to carry out complex compensation correction, and a phase factor is constructed according to an included angle between a measuring point and an output direction to realize complex exponential superposition expression. And a structured amplitude-phase result is output, so that the continuity of far-field distribution, the accuracy of direction mapping and the consistency of frequency data are improved.

The present invention discloses a method for inverting neutron flux distribution based on the PGNAA technology. This method utilizes the characteristics of the in-situ radioactivity and high penetrability of neutron-induced gamma rays in the PGNAA technology. Intervals are divided according to the neutron field distribution to be analyzed, and a gamma-ray detector array is set around the neutron field. Gamma-ray volume sources are set in each interval based on Monte Carlo simulation. The response factors between each gamma-ray volume source and the detector array are obtained through simulation calculation, that is, the response function of the detector to the gamma-ray volume sources in each interval, and a response matrix is established. The gamma-ray detector array is used to collect the neutron-induced gamma rays in the materials within the neutron field, and inversion calculation is carried out in combination with the response matrix obtained through simulation calculation to obtain the neutron flux in each interval of the neutron field, and thus the neutron flux distribution of the neutron field can be obtained. The present invention effectively reduces the interference effects of gamma-ray background and strong radiation field on neutron measurement in the traditional method, and the measurement of neutron flux distribution inversion is simple and has high accuracy.

The invention discloses a quantitative method of SCCP, and relates to the field of quantitative detection of short-chain chlorinated paraffin, and the method comprises a homologous substance quantitative method and a blank deduction method; the method comprises the following steps: drawing a standard curve by using configured chlorine content and total response, and checking the standard curve to obtain response factors of different family substances according to theoretical chlorine content of different family substances; and obtaining the concentration of the homologous substances by using the response of different homologous substances in the sample and using a response factor method, and the like. According to the invention, SCCP homologous substance quantification is realized, homologous substances which exist in a laboratory blank but do not exist in a sample are identified on the basis, the blank level is reduced, and the quantification accuracy of SCCP is improved.

The invention discloses an instrument analysis migration method and system based on feature decoupling and physical residual calibration, and relates to the technical field of artificial intelligence and instrument analysis data processing, and the method comprises the steps: constructing a double-flow deep neural network model, and carrying out the feature decoupling pre-training; calculating characteristic correlation loss by adding an orthogonality penalty term and carrying out back propagation; acquiring an original signal of an instrument to be analyzed, inputting the original signal into the trained double-flow deep neural network model to extract corresponding general chemical characteristics and response deviation characteristics, acquiring physical signal intensity characterization through weighted aggregation based on the general chemical characteristics, and simultaneously acquiring physical signal intensity characterization through weighted aggregation based on a linear response principle; and constructing a dynamic response factor by combining the general chemical characteristics and the response deviation characteristics, and calculating to obtain a quantitative analysis result. According to the method and the device, while the dependence of the marked sample is reduced, the accuracy of cross-instrument analysis is improved, and the cross-equipment migration of the instrument analysis model with low sample cost and high robustness is realized.

The invention discloses a benzo [a] pyrene on-site rapid quantitative detection method and system and a storage medium. The detection method comprises the following steps: automatically collecting an original sample fluorescence spectrum of a to-be-detected sample, adding a preset amount of a standard solution of a safety standard substance, collecting a labeled spectrum, establishing a dual-mode dynamic correction framework, and realizing self-calibration by utilizing the response of the labeled safety standard substance; the signal intensity of a safety standard substance peak and a benzo [a] pyrene peak is extracted according to a preset peak window, the response coefficient and the concentration increment of a standard substance are calculated through an internal standard method, and the concentration of benzo [a] pyrene in a sample is calculated through a relative response factor. Complex correction and quantification processes are carried in a storage medium or a detection system and converted into one-button operation, and the method can be used for a small fluorescence spectrometer to realize on-site rapid quantitative detection of benzo [a] pyrene.

The application provides a triglyceride mass spectrum signal correction method, a triglyceride detection system and application thereof. The triglyceride mass spectrum signal correction method first detects a to-be-detected sample by using a liquid chromatograph-mass spectrometer system; based on a secondary mass spectrum result, the triglyceride in the to-be-detected sample is qualitatively determined, and a standardized response factor prediction model is combined to obtain a standardized response factor of the triglyceride in the to-be-detected sample; and the triglyceride primary mass spectrum signal is divided by the standardized response factor for correction. The triglyceride mass spectrum signal correction method significantly improves the accuracy and stability of triglyceride quantification, and only needs to use a single internal standard to realize high-throughput detection, effectively overcoming the dependence of the traditional method on multiple internal standards.

A method, system, storage medium, and program product for detecting non-methane total hydrocarbons (NMRs) are disclosed, relating to the field of testing or analyzing materials by measuring their chemical or physical properties. In this method, gas chromatographic data and component data are acquired, and the initial NMR concentration is calculated. CAS numbers are matched to distinguish known interfering components from dynamically added components. Preset response factors for known components and theoretical response factors for added components are obtained, and their accurate concentrations are calculated. The baseline NMR concentration deviation caused by interfering components calculated using the basic factors is calculated. This deviation is subtracted from the initial NMR concentration to compensate for the accurate concentrations of each interfering component, resulting in a corrected target NMR concentration. The target methane concentration is calculated and subtracted from the target NMR concentration to obtain the NMR concentration. This application aims to reduce the interference of dynamically changing added organic components on NMR detection, thereby improving the accuracy and intelligent processing efficiency of continuous NMR detection in complex waste gas scenarios.

A gas chromatograph for analyzing the content of a gas sample includes a sample gas inlet configured to receive the gas sample and a carrier gas source providing a carrier gas. The separation column is configured such that individual component gases in the sample gas are separated as they move through the separation column. A first sample valve is coupled to the sample gas inlet, the carrier gas source, and a sample ring configured to receive a sample amount of the gas sample. The first sample valve injects the sample amount into the separation column, and individual component gases in the sample gas are separated as they move through the separation column. A detector detects the concentration of individual component gases as a function of the sensitivity of the detector. A controller varies a response factor of the gas chromatograph by varying at least one of the sensitivity of the detector and the sample amount.

The application provides a kind of nuclear radiation field fast inversion method and system, it is related to nuclear radiation field inversion technical field, and the three-dimensional space model of target nuclear radiation field is constructed and the energy spectrum data of multiple observation positions are obtained in the present application, standard count rate data set is generated after pre-processing;Then by the discrete processing of radiation field, the initial radiation intensity is obtained based on the data between each potential point source and observation position;Further, for any target point, the relative contribution weight of each potential point source and the radiation attenuation factor are aggregated, the field intensity response factor of target point under multiple energy channels is calculated and the field intensity response vector is formed;Finally, the energy fluence mapping model with field intensity response vector as input and energy fluence as output is constructed and trained, the fast and high-precision inversion of energy fluence at any position of nuclear radiation field is realized, and the efficiency and accuracy of multi-energy channel nuclear radiation field inversion in complex medium environment are effectively improved.

The short-chain chlorinated paraffin SCCPs quantitative method based on the genetic algorithm comprises the following steps: establishing a Gaussian distribution model, simulating the molar concentration of homolog components in an SCCPs standard substance through model mapping of the Gaussian distribution model, obtaining the initial mass concentration of the homolog components in the SCCPs, and calculating the initial mass concentration of the homolog components in the SCCPs according to the initial mass concentration of the homolog components in the SCCPs. Summing the initial mass concentrations of all homologues CnClm to obtain a calculated concentration value of SCCPs; according to the initial response factor, calculating the relative deviation between the same CnClm initial response factor between different SCCPs standard substances, calculating the relative error between the SCCPs standard substance mass concentration and the obtained SCCPs calculated concentration value, adding the relative deviation of all homologues CnClm, and summing the relative deviation and the relative error to obtain an addition value; carrying out single-target optimization on the obtained addition value by adopting a genetic algorithm, and determining an optimal mapping relation formed by Gaussian distribution and SCCPs homologues; and calculating the mass concentration of the homologue CnClm of the SCCPs in the sample. The method is simple in spectrogram and quantitative method, does not need to prepare an additional mixed standard solution, and is accurate in detection result.