842 results about "Gas analysis" patented technology

The invention relates to the technical field of infrared gas analysis, and discloses a multi-sensor fused infrared gas analysis method and device.The method comprises the steps that self-adaptive digital filtering and multi-scale wavelet denoising operation is carried out on multi-component gas spectral absorption data collected by a multi-band infrared sensor array; a corrected multi-dimensional spectrum matrix is obtained; performing partition cross validation compensation operation to obtain a standard spectrum matrix; constructing a covariance matrix, and extracting principal component features and latent variable features through eigenvalue decomposition to obtain a spectral eigenvector; inputting a deep self-encoding network model to carry out nonlinear mapping and residual reconstruction calculation to obtain a compensated feature mapping vector; performing information fusion to obtain a fusion decision vector; and respectively inputting the fusion decision vector into a Gaussian kernel support vector classifier and a partial least square regression model, and outputting a type identifier and a concentration value of the target gas. According to the method, high-precision identification and quantitative analysis of gas components are realized.

The invention relates to the technical field of control systems, in particular to an organic fertilizer fermentation intelligent aeration control system applying a nano-molecular film. The system comprises a data acquisition module, a delay analysis module, a gas analysis module and a controller adjusting module. Wherein the delay analysis module is used for determining the response delay of the aeration control system in combination with the change condition of temperature, the regulation hysteresis of the aeration control system and the activeness of microorganisms; the gas analysis module is used for determining the comprehensive gas exchange rate of the fermentation heap according to the humidity change condition, the carbon dioxide concentration and the ammonia gas concentration of the fermentation heap; the controller adjusting module is used for determining a correction coefficient of the aeration control system; and taking the proportional gain corrected by the correction coefficient as the proportional gain of a PID controller in the aeration control system. According to the invention, the response speed and the control precision of the aeration control system are effectively improved.

The invention discloses a multi-head gas analysis device, and relates to the technical field of infrared gas analyzers, the multi-head gas analysis device comprises a sampling joint body, and the sampling joint body comprises a sampling tube, a threaded port, a double-head connecting tube, an upper steel ball and an upper spring. In the using process, through the structural arrangement that the multiple sets of sampling connector bodies are arranged on the side end edge of the infrared gas analyzer side by side, the sampling requirements of the multiple sets of sampling tank bodies can be met, and the number of to-be-detected samples and the detection efficiency are effectively improved; the establishment of a gas passage from the sampling tank body to the sampling pipe is controlled through gas pressure, so that the to-be-detected gas samples in the sampling tank body at multiple positions can be sequentially detected, and the gas samples in the sampling cavity can be uniformly and thoroughly discharged into the infrared gas analyzer to be detected; and the to-be-detected gas sample in the sampling cavity is isolated from the introduced high-pressure gas by the piston plate, so that the detection precision of the to-be-detected gas sample can be guaranteed.

Aspects relate to a compact and low-cost gas analyzer that can be used for different types of gas analysis, such as air quality analysis. The gas analyzer can include a light source, a gas cell configured to receive a sample (e.g., a gas under test), a spectral sensor including a spectrometer and a detector, and an artificial intelligence (AI) engine. Light can enter the gas cell and interact with the sample to produce output light that may be measured by the spectral sensor. The resulting spectrum produced by the spectral sensor may be analyzed by the AI engine to produce a result. The gas analyzer further includes a self-calibration component configured to enable calibration of the sample spectrum to compensate for spectral drift of the spectral sensor.

The invention discloses a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment system and a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment method. The system comprises a gas-liquid mixed injection system, a Kr adsorption system, a visual triaxial core holder system, a CT scanning system and a tail gas analysis and treatment system. According to the experimental method, Kr similar to CH4 in dynamic diameter and other parameters is selected as a CT tracer to replace CH4, and 4D visualization of coal body internal pore and fracture structure evolution and Kr concentration field displacement migration process can be realized through three-dimensional reconstruction of CT images at different displacement moments and registration, gray correction and normalized concentration calculation of the images. The problem that the gas migration rule in the coal body in the displacement experiment is not clear is solved; the dynamic diffusion process inversion of the coal bed gas in the coal bed difficult to extract is realized by utilizing the distribution characteristic evolution of the Kr gas in the coal body, so that the in-situ coal body fissure structure in the coal sample and the dynamic migration law of methane in the displacement process are obtained, and the method has great significance for revealing the displacement development mechanism of unconventional natural gas such as the coal bed gas.

The invention relates to an acetic acid production line on-line analysis system, and relates to the field of on-line gas analysis equipment.The acetic acid production line on-line analysis system comprises a pretreatment box and an analysis cabinet, the pretreatment box is connected with an acetic acid production line through a sample feeding pipe and connected with the analysis cabinet through a sample conveying pipe, and a pretreatment module is arranged in the pretreatment box; the pretreatment module comprises a sample pressure reduction unit and a heating unit, the sample pressure reduction unit is connected between the sample feeding pipe and the sample conveying pipe, and the heating unit is arranged adjacent to the sample pressure reduction unit and the sample conveying pipe and is connected with the analysis cabinet; a pretreatment module, an analysis module and a tail gas treatment module are arranged in the analysis cabinet, the pretreatment module comprises a bypass unit and a flow stabilizing unit, the bypass unit is arranged between the sample conveying pipe and the tail gas treatment module, the flow stabilizing unit is connected between the sample conveying pipe and the analysis module, and the tail gas treatment module is connected with the analysis module; the stability and the real-time performance of a sample detection result of an online analysis system can be improved.

A gas analysis system (1) includes an inflow portion (C1) into which sample gas flows, a column (41, 42), a detector (50, 51) that detects a component in sample gas, a sampler module (M1) and a switching module (M2) including a plurality of valves (V1 to V10), and a controller (100) that independently controls the plurality of valves (V1 to V10). The controller (100) includes a storage (120) where function pattern information that defines correspondence between a plurality of basic functions and opening and closing patterns of the plurality of valves is stored and an output unit (110) that uses the function pattern information stored in the storage (120) to output control signals to the respective valves (V1 to V10).

The invention relates to the technical field of gas analysis and detection instruments, and discloses a gas analysis and detection instrument which comprises a gas analysis and detection instrument body, a transverse adjusting piece is arranged above the gas analysis and detection instrument body, a transverse and longitudinal connecting piece is mounted on the transverse adjusting piece, and a longitudinal adjusting piece is connected to the bottom of the transverse and longitudinal connecting piece; wherein the gas analysis detector main body is in sliding connection with the front surface of the longitudinal adjusting piece, multi-dimensional accurate positioning of environmental gas sampling is realized, and the core advantage is reflected on a transverse adjusting system: a mechanical transmission mode of driving a threaded rotating rod by a servo motor is adopted, and dual guidance of a sliding rail and a limiting sliding block is matched, so that the positioning accuracy is improved; and the detector main body can stably move along the horizontal direction. Due to the unique combined design of the buffering device and the adjustable limiting mechanism, flexible buffering protection of the moving terminal point is achieved, and a user is allowed to customize the stroke range according to actual requirements.

The invention discloses a gas analysis method and system for a gas source purification process, and relates to the technical field of gas detection and analysis. The method comprises the following steps: synchronously acquiring optical, electrochemical and conductivity detection signals in a gas source purification pipeline, and combining environmental parameters such as temperature, humidity and flow; carrying out filtering, anomaly elimination and normalization processing on the detection signal, constructing a multi-dimensional feature vector, and carrying out dimensionality reduction to obtain a principal component feature; and dynamically distributing weights through a self-adaptive weighted fusion model, and calculating a gas purification characteristic value. Establishing a drift prediction model based on historical data, inputting environmental parameters and operation duration to calculate a predicted drift amount, and correcting a gas purification characteristic value; when the drift distance exceeds a threshold value or reaches a calibration period, standard gas is introduced to detect the average response value of the drift distance, a calibration coefficient is calculated according to the concentration of the standard gas, the calibration coefficient is fed back and updated to the weighted fusion model and the drift prediction model, and self-correction and high-precision analysis of the gas purification process are achieved.

A gas detection device for detection of one or more gas analytes in an environment includes a housing including an inlet via which gas to be sampled from the environment enters the housing, a control system within the housing comprising a processor system and a memory system in communicative connection with the processor system, and one or more gas sensors within the housing in fluid connection with the inlet and in communicative connection with the control system. Each of the one or more gas sensors is independently responsive to one of the one or more gas analytes. The control system is configured to control flow rate of gas from the environment through an accessory device assembly including one or more accessory devices in fluid connection with the inlet on the basis of data for the accessory device assembly in fluid connection with the inlet.

The invention discloses a cable fault diagnosis method and system based on ablation gas of a semi-conductive resistance water buffer zone, and the method comprises the steps: extracting gas in a to-be-detected cable buffer layer through a gas collection assembly disposed outside a main insulation part of a cable body; analyzing the gas in the buffer layer of the to-be-detected cable through a cable characteristic gas analysis instrument to obtain the concentrations of hydrogen and propane in the buffer layer of the to-be-detected cable; and comparing the hydrogen concentration with the hydrogen concentration of the cable in a normal operation state, and determining the operation state of the cable to be detected according to the propane content. The problem that the detection time is interfered or missed in the prior art is solved, and whether the semi-conductive resistance water buffer strip is ablated or not can be rapidly and accurately detected and judged.

The invention discloses a detection device and a detection method for dissolved gas in insulating oil. The detection device comprises a rapid degassing module and an analysis module, the rapid degassing module comprises a sample bottle, a heating oil sample pool, a stirring structure, a high-purity gas storage tank and a cold trap; the sample bottle is used for injecting an insulating oil sample to be detected; the heating oil sample pool is used for heating the insulating oil sample in the sample bottle; the stirring structure is used for stirring the insulating oil sample in the sample bottle; the high-purity gas storage tank is used for introducing inert gas into the sample bottle and accelerating discharge of dissolved gas; the cold trap is used for enriching the mixed gas discharged from the sample bottle and selectively adsorbing and enriching the target gas to be detected; and the analysis module is used for detecting the gas analyzed from the cold trap. According to the detection device disclosed by the invention, the insulating oil sample to be detected is simultaneously subjected to heating stirring, gas purging replacement and cold trap enrichment, so that the dissolved gas in the insulating oil can be quickly removed, the degassing time is shortened to be within 5min, and the degassing treatment efficiency is greatly improved.

The invention provides a thermogravimetric analysis device and method for microwave-assisted carbon dioxide capture. The thermogravimetric analysis device comprises a gas conveying and switching unit, a microwave-assisted reaction unit, a temperature measuring unit, a weight recording unit and a gas analysis unit. According to the thermogravimetric analysis device, mass transfer and heat transfer are more sufficient, microwaves can act on samples in a concentrated mode, the adsorption and desorption efficiency is higher, and gas leakage and microwave leakage can be effectively avoided. According to the thermogravimetric analysis device, effective combination of a microwave heating system and a thermogravimetric analysis system is achieved, the adsorption and desorption capacity of a sample to carbon dioxide can be measured in real time, weight measurement data are more accurate, and the adsorption and desorption conditions of the carbon dioxide can be reflected more comprehensively and visually. The thermogravimetric analysis method for microwave-assisted carbon dioxide capture is carried out in the thermogravimetric analysis device, the method is high in repeatability, and the cyclic stability of adsorption-desorption of carbon dioxide is good.

The invention discloses a defect self-detection laser welding device and belongs to the field of laser welding, a driving disc is assembled at the top of an electric rotating disc, the driving disc is fixedly connected to the top of a gas analyzer body, a pawl is hinged to the inner wall of the driving disc, and a connecting ring is rotatably connected to the outer wall of a fixing rod; and the inner wall of the connecting ring is fixedly connected with a connecting rod. The steel pipe is fixed to the top of the base, the electric rotating disc is started to drive the welding gun body and the gas analyzer body to rotate forwards and backwards, welding operation and detection work of the steel pipe can be accurately completed, after laser welding is completed, the air pump is started to inject gas into the steel pipe, and the gas analyzer rotates and analyzes gas components of the steel pipe; the pawl and the ratchet wheel are driven by the driving disc to rotate clockwise, and the two ends of the steel pipe are blocked by the hydraulic system, so that the accuracy of a gas analysis process is guaranteed, and whether defects and gas leakage exist in the steel pipe is detected.

The invention belongs to the technical field of gas analysis, and relates to a surface-enhanced Raman scattering flexible substrate material as well as a preparation method and application thereof. The surface-enhanced Raman scattering flexible substrate material comprises a three-dimensional network structure and silver nanoparticles, the three-dimensional network structure is composed of hydroxypropyl methyl cellulose nanofibers, the silver nanoparticles are wrapped in the hydroxypropyl methyl cellulose nanofibers, and the silver nanoparticles are of a polyhedral structure. The surface-enhanced Raman scattering flexible substrate material is used for detecting thiol compounds in a solution, and the detection limit can reach 10 <-19 > M level; after the surface of the silver nanoparticle is modified with the probe, the material can detect trace substances in exhaled air. In addition, after the material is stored for 6 months at room temperature, the SERS signal intensity attenuation is less than or equal to 4%, and the relative standard deviation detected by 20 random sites is only 4.04%.

The invention relates to the technical field of gas detection equipment, and discloses an electronic nose gas analysis system based on the Internet of Things technology, which comprises an acquisition module, a gas path transmission module, a gas reaction module, a computer and a power supply module, the acquisition module is used for acquiring a gas sample from an external environment; the gas path transmission module is used for conveying gas from the sampling module to the gas analysis module; the gas reaction module is used for enabling target gas and a specific reaction reagent to be in contact with each other for reaction, and the gas reaction module comprises a plurality of groups of sensor arrays; the computer preprocesses the electric signals output by the sensor array and analyzes and processes the preprocessed data; the power supply module is used for providing electric energy for each power consumption component in the system; the device is simple in structure, convenient to use, high in detection precision and good in user experience.

The invention discloses a multi-component laser gas analyzer based on front-end pretreatment, and relates to the technical field of gas detection, the multi-component laser gas analyzer specifically comprises a portable box, a control panel is arranged in the portable box, and a laser gas analysis mechanism is mounted in the portable box and located at the bottom of the control panel; the problem of spectral signal distortion caused by a high-dust and high-humidity environment in industrial gas detection is solved through a front-end pretreatment self-adaptive technology, system downtime caused by single-path blockage is avoided through a double-pipeline redundancy design aiming at the high-dust and high-humidity environment, rapid dehumidification and cooling of a compression and condensation assembly are combined, and the detection efficiency is improved. According to the multi-component laser gas analyzer system, a laser gas analysis mechanism can stably obtain high-precision spectral signals under complex working conditions, meanwhile, multi-stage intelligent early warning and filter element health management are adopted in the system, the maintenance cost is reduced, the service life of equipment is prolonged, the integrated design of the portable box supports on-site rapid overhaul, and the detection efficiency of the whole multi-component laser gas analyzer is improved.

In a mass spectrometer (10) for gas analysis, comprising: a mass spectrometer housing (12) evacuated by a vacuum pump; an ion source (16) for ionizing gas atoms or molecules entering the mass spectrometer enclosure (12) and accelerating ions in the mass spectrometer enclosure (12); an ion trap (22) made of an electrically conductive material for collecting ions generated by the ion source (16); an electrical measurement device (24) for measuring the potential or current of the ion trap (22) and connected to the ion trap (22) for inferring the ions collected by the ion trap (22) from the measured potential or current; a magnetic or electromagnetic deflection device configured to deflect or map ions having a specific mass-to-charge ratio to the ion trap (22); an electron barrier (30) made of an electrically conductive material is provided at the ion trap (22), the electron barrier having a lower potential than the ion trap (22) and being configured to generate a reverse electric field to return electrons released from the ion trap (22) onto the ion trap (22).

The present invention provides an integrated power generation equipment health status monitoring system. This system collects operating and environmental parameter data from an asynchronous motor precision inspection and diagnostic device, a TLI-X8 online battery monitoring system, a collector ring intelligent data acquisition system, an online transformer oil dissolved gas and water monitoring system, an online generator partial discharge monitoring device, and a wireless temperature measurement system. This system then performs training and prediction to obtain fault prediction data, enabling accurate fault diagnosis based on deep learning to extract raw data features. This application organically combines systems such as the asynchronous motor precision inspection and diagnostic device, transformer oil gas analysis, partial discharge detection, wireless temperature measurement, and online battery monitoring. This system uses a parent convolutional neural network model and a child machine learning model to predict power generation equipment faults, enabling early fault identification and significantly improving the accuracy and efficiency of equipment fault identification.

The invention relates to the technical field of data processing, in particular to a boron-11 electronic gas analysis method for trace impurity recognition, which comprises the following steps: acquiring a historical time sequence data sequence of the concentration of each gas phase element in a container for storing boron-11 electronic gas at the current monitoring moment; periodically dividing each historical time sequence data sequence to obtain suspected abnormal data in each data segment; according to suspected abnormal data in the recent time sequence data sequence of each gas phase element concentration, the recent monitoring data distribution change abnormal degree and the multi-type correlation change abnormal degree of each gas phase element concentration are obtained, and a self-adaptive concentration threshold value at the current monitoring moment is correspondingly obtained; according to the self-adaptive concentration threshold value corresponding to the concentration of each gas phase element, trace impurity abnormity monitoring is carried out on the boron-11 electron gas at the current monitoring moment, and the accuracy of trace impurity abnormity monitoring is improved by dynamically adjusting the fixed threshold value.

The invention discloses a dual-gas analysis instrument for a nuclear power station. The dual-gas analysis instrument comprises a control cabinet located in a first area and a sampling test cabinet located in a second area, the control cabinet is in signal connection with the sampling test cabinet; the sampling test cabinet comprises a sampling pipeline and a monitoring module which are communicated in sequence; the monitoring module comprises an oxygen monitoring module and a hydrogen monitoring module; wherein the monitoring module is also connected with a purging pipeline and a calibration pipeline; the sampling test cabinet is communicated with the nuclear waste gas pipeline, continuous sampling is performed from the sampling test cabinet through the sampling pipeline, and then the hydrogen and oxygen content in the to-be-detected gas is monitored through the monitoring module, so that continuous detection of the nuclear waste gas can be realized, and the monitoring risk caused by transfer of the nuclear waste gas is avoided.

The invention discloses a dynamic tracking adsorption testing device and method adaptive to different carbon dioxide partial pressure adsorption properties of multi-scene adsorbents, and solves the problems that an existing device cannot dynamically track the adsorption process and lacks a standard processing device and method for multi-parameter linkage analysis. The dynamic tracking adsorption testing device comprises a reaction master control, a self-regulation gas supply system and a gas analysis system, the gas inlet end of the reaction master control is communicated with the self-regulation gas supply system, and the gas outlet end of the reaction master control is communicated with the gas analysis system; the dynamic tracking adsorption test method comprises the following steps: performing vacuum activation pretreatment on a test sample, adsorbing and desorbing to obtain mass change in an adsorption stage and import and export concentration data, and establishing a triple adsorption quantity calculation model based on the mass change in the adsorption stage and the import and export concentration data; and completing an adsorption cycle stability test process according to the triple adsorption capacity calculation model after data analysis.

A testing device for measuring oil, gas and water contents in rock has a heating desorption unit that has a sample chamber for placing a rock sample to be detected, a crushing mechanism arranged within the sample chamber, and a heating mechanism. The heating desorption unit crushes and heats the rock sample in a sealed manner to achieve gas analysis and desorption analysis of oil and water contained therein, thus obtaining components to be detected. The device further has a cold trap collection unit in communication with the sample chamber, a light hydrocarbon capture unit in communication with the cold trap collection unit, a gas measuring unit in communication with the light hydrocarbon capture unit for measuring and calculating a gas volume; and a central control unit for controlling the testing device.

The invention discloses a spectral analysis device and method for gas Raman scattering of a hollow-core optical fiber, and belongs to the technical field of gas analysis sensing. The spectrum analysis device comprises a laser, a light beam coupling device, a hollow-core optical fiber gas sample chamber, a collecting device and a spectrograph which are sequentially arranged along a light path, the light beam coupling device is used for coupling excitation laser generated by the laser into the hollow-core optical fiber gas sample chamber; to-be-detected gas flows in the hollow-core optical fiber gas sample chamber, excitation laser is conducted, and a transmission light beam containing the excitation laser and Raman scattering light is output; the collecting device is used for separating excitation laser in the transmission light beam and outputting a light beam only containing Raman scattering; a small round hole is formed in an inlet of the spectrograph, spatial filtering is carried out, and the luminous flux lost when a light beam enters the spectrograph is reduced; and the spectrometer receives the Raman scattering to obtain the Raman spectrum of the gas to be detected. The luminous flux lost when the light enters the spectrograph is reduced, the light beam collection efficiency is improved, and the signal-to-noise ratio and the analysis sensitivity are improved.

The invention relates to the technical field of metal smelting, in particular to a metal smelting temperature control method and system. The system comprises a temperature monitoring module, a gas analysis module, a thermodynamic simulation module and a dynamic regulation and control module, the thermodynamic simulation module sets a fitness function according to the Gibbs free energy value, and obtains the optimal temperature and oxygen potential through a particle swarm optimization algorithm; the dynamic regulation and control module is used for converting the theoretical optimal temperature of the thermodynamic model into precise operation, and efficient and stable control over the smelting temperature is achieved. According to the method, the reaction process in the furnace and the current optimal temperature and oxygen potential are accurately controlled on the basis of the Gibbs free energy value and the particle swarm optimization algorithm, the theoretical optimal temperature of a thermodynamic model is converted into precise operation through multi-PID cooperative control, and efficient and stable control over the antimony smelting temperature is achieved; and therefore, the problem that the oxygen-enriched smelting temperature is not accurately controlled is fundamentally solved, the extraction rate of metal is increased, and energy consumption is reduced.

The utility model relates to a metal heat treatment furnace, which belongs to the technical field of heat treatment furnaces and comprises a heat treatment furnace main body, a furnace cover is arranged above the heat treatment furnace main body, a cooling mechanism is arranged on the furnace cover, a lifting mechanism is arranged on the back side of the heat treatment furnace main body, and a heat treatment frame is arranged below the furnace cover. According to the metal heat treatment furnace, by starting a draught fan, negative pressure is generated in a filter box, harmful gas generated by heat treatment is pumped into the filter box, the harmful gas enters a second connecting pipe after being subjected to three-layer filtration, and whether the harmful gas reaches the safe emission standard or not is monitored by a gas analysis monitor; and the metal is conveyed into the water tank to be subjected to heat exchange with the cooling liquid, the metal subjected to heat treatment is cooled, the metal subjected to heat treatment is conveniently taken, the purposes of cooling the material and preventing harmful gas from being directly discharged to pollute the environment are achieved, and the beneficial effects that the material is cooled, meanwhile, the harmful gas is filtered and the like are achieved.

The invention relates to a gas analysis device for chemical production, and belongs to the technical field of gas analysis, the gas analysis device comprises a fixing frame and a chromatographic instrument fixedly installed in the fixing frame and used for analyzing gas, and the top surface of the fixing frame is fixedly provided with a protective cover used for gas conveying. A gas inlet cavity and a gas outlet cavity are sequentially formed in the upper side of the interior of the protective cover from top to bottom, a gas inlet pipe used for conveying gas is fixedly installed on the left side of the inner wall of the gas inlet cavity, and a gas outlet pipe used for conveying gas is fixedly installed on the right side of the inner wall of the gas outlet cavity. The problem of influence of moisture and dust on the device is avoided, and the device adopts two filter dust removal structures which can be alternately used, so that the other filter dust removal structure can be dried while one filter dust removal structure is used, and the problem of frequent replacement of an adsorption material can be avoided by alternately using the two filter dust removal structures; and the continuous operation effect of the device can be ensured.

The present application relates to the technical field of mine safety monitoring, and discloses a mine digital gas parameter early warning system based on gas analysis. The system comprises data acquisition and feature extraction, spatial topology correlation, gas state intention analysis, risk deduction based on a knowledge graph, and hierarchical early warning generation, which realizes intelligent monitoring of mine gas safety. The gas behavior mode is dynamically correlated with the roadway space structure, forming networked situation awareness, and the multi-source precursor information is deeply semantically correlated and probabilistically inferred using a disaster knowledge graph, thereby generating a comprehensive risk conclusion with causal logic. The system realizes the leap from discrete point alarm to spatial situation analysis, from simple threshold judgment to intelligent causal deduction, and improves the accuracy of early warning and decision support capability.

The invention relates to the technical field of gas analysis, in particular to a determination method for detecting impurity elements in chlorine-nitrogen mixed gas by an ICP-MS (Inductively Coupled Plasma Mass Spectrometry) method. The invention establishes an analysis method for determining the contents of eight elements including iron (Fe), chromium (Cr), copper (Cu), zinc (Zn), nickel (Ni), sodium (Na), cadmium (Cd) and phosphorus (P) in chlorine-nitrogen mixed gas by an ICP-MS (Inductively Coupled Plasma Mass Spectrometry) method. By optimizing ICP-MS analysis conditions and a sample pretreatment process and adopting an electronic-grade solvent to leach elements, rapid and accurate detection and high reproducibility of the impurity content in the chlorine-nitrogen mixed gas are realized. The method can be applied to quality control and analysis in the production process of a chlorine-nitrogen mixed gas product, and lays a foundation for establishing a standard of a chlorine-nitrogen mixed gas analysis method.

The invention belongs to the technical field of exhaled gas analysis, and particularly relates to an exhaled gas composition for identifying taste sensitivity and a screening method and application thereof. The taste sensitivities of individuals of different age groups are collected by adopting a sensory evaluation method, volatile compound components in exhaled gas are analyzed by adopting high-resolution mass spectrometry, and characteristic exhaled gas markers remarkably related to the taste sensitivities are screened by adopting difference analysis and correlation analysis. Therefore, the exhaled gas marker combination obtained through screening is used for identifying the individual taste sensitivity, and the method has the advantages of being convenient to sample, non-invasive, high in subject acceptability and wide in application range.