548 results about "Mass spectrometry" patented technology

The invention relates to a method for judging the fermentation end point of red date flavor fermentation liquor and application of the method, and the fermentation end point of the red date flavor fermentation liquor is judged by adopting a method of combining sensory evaluation with detection of a gas chromatograph-mass spectrometer. The sensory score of the fermented bouquet (not obvious) is lower than 6, and after analysis by a gas chromatograph-mass spectrometer, when the ratio of the total content of the characteristic honey sweet flower aroma substances, namely beta-damascenone and phenethyl alcohol, to the content of the characteristic bouquet aroma substance component, namely amyl alcohol, is 0.4-0.5, the fermentation end point is determined. Compared with the prior art, the method has the advantages that the fermentation end point of the red date fermentation liquid can be simply and quickly judged, and technical support can be provided for quality detection in the mixed fermentation process of the red date juice and regulation and control of the flavor quality of the red date fermentation beverage.

The present invention provides a method for constructing a fingerprint of a Xin Su Ning capsule and a fingerprint. The method includes: S1: taking contents of Xin Su Ning capsules of different batches, adding a methanol aqueous solution, and performing ultrasonic extraction to obtain test article solutions; S2: injecting the test article solutions into a high performance liquid chromatograph, performing gradient elution, performing chromatographic analysis, and recording chromatograms from 0 to 140 min; S3: importing the chromatograms into a traditional Chinese medicine chromatographic fingerprint similarity evaluation system to obtain a fingerprint; and S4: performing mass spectral analysis on the test article solutions, and determining chemical constituents of chromatographic peaks in the fingerprint according to results of the mass spectral analysis. The method for constructing a fingerprint of a Xin Su Ning capsule provided in the present invention has advantages of simple, stable and high precision and good reproducibility.

A system for determining microbiome from host metabolome using a machine learning model is provided. The system 100 includes a sample collection device 102, an analytical device 104, a network 106, and a microbiome profile determination server 108 that includes a machine learning model 110. The sample collection device 102 collects sample (e.g. blood) from the host. The analytical device 104 analyzes the sample to obtain mass spectral data of one or more metabolites present in the sample. The microbiome profile determination server 108 is configured to (i) receive the mass spectral data from the analytical device 104 through the network 106, (ii) identify metabolome data associated with the sample by analysing and annotating the mass spectral data of the sample against known metabolites in public database, and (iii) determine the microbiome profile of the host based on the metabolome data using the machine learning model 110.

The invention discloses a metal supported activated carbon catalyst for efficiently preparing aquacide dichloride and application of the metal supported activated carbon catalyst. The catalyst is prepared by taking activated carbon as a carrier, loading Lewis acid active components such as aluminum ions, zinc ions, iron ions, copper ions and the like through an impregnation method, and carrying out vacuum pyrolysis activation treatment at 300-600 DEG C. The catalyst synergistically catalyzes a nucleophilic substitution reaction of a pyridine derivative and alkyl halide in an aprotic polar solvent such as acetonitrile or nitrobenzene, and synthesis of diquat dichloride can be realized under the conditions that the temperature is 100-180 DEG C and the pressure is 1-3 MPa. In a reaction system, the mass ratio of the pyridine derivative to the catalyst to the solvent is 1: (0.01-0.05): (5-8), and real-time monitoring and regulation are performed through an online infrared spectrum, a liquid chromatograph and a gas chromatograph-mass spectrometer. The purity of the product is more than 99% after the product is subjected to filtration, recrystallization with an ethanol-water mixed solvent and vacuum drying. The catalyst provided by the invention has the characteristics of high activity, strong stability and recoverability, obviously improves the atom economy of the reaction, simplifies the production process, reduces the energy consumption and pollution, and is suitable for large-scale industrial production.

The invention discloses a metabolite prediction method based on multi-scale feature enhancement and feature selection, and relates to the field of metabolite prediction. The invention aims to solve the problem of low metabolite prediction accuracy in the prior art. The method comprises the following steps: preprocessing a mass spectrum data feature vector of each biological sample to obtain a multi-scale feature matrix; using the multi-scale feature matrix to obtain the information gain of each feature for the metabolism category; and screening the features in the multi-scale feature matrix according to the information gain of each feature for metabolite prediction to obtain a final feature set. Training an ANN model by using the final feature set and the corresponding metabolite tag to obtain a metabolite prediction model; and obtaining a final feature set of a to-be-predicted biological sample, and inputting the final feature set of the to-be-predicted biological sample into the metabolite prediction model to obtain a metabolite category of the to-be-predicted biological sample. The method is used for predicting the metabolite categories of organisms.

The invention discloses a method for simply extracting and accurately determining and quantifying micro-nano plastic in biological fluid. The method comprises the following steps: heating and digesting the biological fluid by using a strong oxidant; after digestion, adding a moistening solution for ultrasonic treatment, collecting the treated solution, and detecting the particle size of particles in part of the mixed solution; and filtering the residual mixed solution to separate out the micro-plastics. Meanwhile, collecting a filtrate containing the nano plastic, and directly transferring the filtrate into a sample boat to be heated and concentrated until the filtrate is dry; and a thermal cracking / thermal desorption-gas chromatograph-mass spectrometer is used for detecting the types and contents of the medium-micro plastic and the nano plastic. According to the method, the micro-nano plastic in different biological fluids can be simply extracted, accurate qualitation and quantification can be realized, and the technical bottlenecks that the extraction of the micro-nano plastic in the biological fluids is tedious and the particle size of the micro-nano plastic particles and accurate qualitation and quantification cannot be considered at the same time at present are broken; and an available technical method is provided for comprehensively and deeply analyzing the in-vivo health risk of the micro-nano plastic.

The invention provides a nuclear magnetic resonance spectrogram analysis method and system, and relates to the technical field of mass spectrometry, and the method comprises the following steps: carrying out Fourier transform on an original FID signal of a to-be-detected solution to obtain a corresponding frequency domain signal; after carrying out phase correction processing on the frequency domain signal, determining positions of a plurality of candidate peaks from the frequency domain signal according to a second derivative; grouping the candidate peaks based on the distance parameter between the adjacent candidate peaks to obtain a plurality of first candidate peak groups; if the difference value between the maximum peak height and the minimum peak height of the candidate peaks is greater than a first preset threshold value, filtering partial candidate peaks in the first candidate peak group; if the difference value between the maximum peak value of the abnormal candidate peak group and the maximum peak value of the first candidate peak groups on the two sides is greater than a second preset threshold value, filtering the abnormal candidate peak group to obtain a target candidate peak group; and performing parameter fitting on the candidate peaks in the target candidate peak group by using a least square method, and determining the solvent peak position and the water peak position.

The invention relates to the technical field of traditional Chinese medicine ingredient research, in particular to a construction method and application of a fingerprint spectrum based on ganoderma lucidum antioxidant active ingredients. Firstly, a method for ultrasonic-assisted acidolysis of the ganoderma lucidum crude polysaccharide under the guidance of free radical scavenging activity is constructed, the method is efficient and good in operability, and the free radical scavenging activity of a ganoderma lucidum crude polysaccharide depolymer can be well reflected. The method comprises the following steps: carrying out acidolysis and analysis on 52 batches of ganoderma lucidum polysaccharides from different sources by adopting hydrophilic chromatography-electrospray detector-electrospray ionization mass spectrometry, further combining grey correlation analysis and partial least squares regression analysis, screening out 12 active common peaks, and establishing the fingerprint spectrum based on the ganoderma lucidum antioxidant active components. And finally, respectively analyzing the fingerprints of the standard ganoderma lucidum, ganoderma sinense, ganoderma applanatum, ganoderma atrum and the ganoderma lucidum sample based on the ganoderma lucidum antioxidant active components by utilizing a principal component analysis method and a partial least square discriminant analysis method, so as to realize identification of the ganoderma lucidum variety.

The invention relates to the technical field of Chinese patent medicine analysis, in particular to a chemical component systematic characterization method, a quality marker, a detection method and application of ginseng root strengthening oral liquid. According to the chemical component systematic characterization method provided by the invention, the chemical components in the ginseng root-consolidating oral liquid are detected by combining offline two-dimensional liquid chromatography and quadrupole rod high-resolution mass spectrometry, and the chemical component systematic characterization method not only can be used for systematic characterization of each component, but also can be used for further screening mass markers, so that the quality control of the ginseng root-consolidating oral liquid is favorably realized. The quality marker provided by the invention covers eight traditional Chinese medicines and eight structural types of compounds of the ginseng root-consolidating oral liquid, and can be used for overall quality control of the ginseng root-consolidating oral liquid. The detection method provided by the invention can be used for simply, quickly and quantitatively detecting the quality markers of the ginseng root strengthening oral liquid, and has very strong operability and practicability.

The invention discloses a helium mass spectrometer leak detector test board, and relates to the technical field of helium mass spectrometer leak detector testing, the helium mass spectrometer leak detector test board comprises a test board support and a helium mass spectrometer leak detector, the top of the test board support is provided with a gas supply area and a leakage marking area, a leakage marking assembly is installed in the leakage marking area, and a gas supply assembly is installed in the gas supply area; the leakage marking assembly comprises a communicating pipe seat, a main connecting pipe and an electric proportional valve, the upper side and the lower side of the communicating pipe seat are each provided with a plurality of leakage marking standard parts, the front side and the rear side of the communicating pipe seat are each provided with a plurality of control valves, and the electric proportional valve is arranged at the end of the communicating pipe seat. According to the invention, multiple groups of leakage standard components with different standard leakage rates can be integrated and installed on the test board, the complexity of replacing leakage standard components with different specifications for multiple times by the helium mass spectrometer leakage detector is eliminated, the helium mass spectrometer leakage detector and the test board only need to be in single pipeline butt joint, the problem that the airtightness is influenced by multiple disassembly and assembly is avoided, and the test efficiency is improved. The work efficiency and the test precision of the calibration test of the helium mass spectrometer leak detector can be improved.

The invention discloses a CARS-LA-ICP-MS combined multimode analysis system. The CARS-LA-ICP-MS combined multimode analysis system comprises a fusion light path module, a mass spectrometry gas path module, a three-dimensional mobile station, a CARS signal acquisition system and a computer control system, the fusion light path module comprises a laser source, an optical parameter amplifier, a light pulse time delay system, three dichroscopes, a light beam adjusting system, a galvanometer, a movable objective lens and a camera; the mass spectrometry gas circuit module comprises a carrier gas supply device, a multimode analysis sample cell and a mass spectrometry device; the multimode analysis sample cell comprises an upper cover, a lower cover and a side wall shell. On the other hand, the invention discloses an analysis method which comprises initialization setting, CARS analysis, mass spectrum analysis task parameter setting, laser ablation mass spectrum analysis and data synthesis. Through coaxial optical path design and an intelligent algorithm, deep fusion of chemical imaging and elemental analysis is realized, and a brand new research tool is provided for the fields of life science, material science and the like.

The present application relates to the technical field of detection of the activity of koji worms, and specifically to a method for judging the activity of koji worms in Daqu based on the content of 1-pentadecene, comprising the following steps: (1) weighing a Daqu sample, adding an extraction solvent to the Daqu sample for leaching, and obtaining an extract; sending the extract to a gas chromatograph-mass spectrometer to detect the content of 1-pentadecene; (2) judging the activity of koji worms in Daqu based on the content of 1-pentadecene detected in step (1). The present application can more accurately judge the activity of koji worms in Daqu samples, and can significantly shorten the time for detecting the activity of koji worms in Daqu samples.

A method for collaborative source apportionment of volatile organic compounds (VOCs), a product, a medium, and a device are provided. The method includes: establishing a single particle classification model; training and optimizing the single particle classification model with a local pollution library, and analyzing pollution sources of single particle mass spectrometric data to be apportioned to obtain a time series of the pollution sources contributing to the particulate matter (PM); obtaining VOCs factors of the pollution sources and a time series thereof; performing correlation calculation on the time series of the pollution sources contributing to the PM and the time series of the VOCs factors to obtain a correlation coefficient; and attributing the PM and the VOCs factor having the correlation coefficient higher than a set threshold to a same pollution source, and identifying a common pollution source of the PM and the VOCs.

A method of detecting vitamin D in blood using laser desorption / ionization mass spectrometry (LDI-MS) and an apparatus therefor according to the present invention are not complicated in a measurement, do not require a number of measurement steps, and allow for easy measurement and collection of results in real time with a quick analysis. In addition, precise analysis may be performed even at a lower concentration of a sample, such that sensitivity and precision are excellent, various subtypes of vitamin D may be simultaneously detected, a throughput is high, and structural analysis and quantitative analysis of vitamin D that has undergone a metabolic process in blood may be accurately performed without a matrix interference.

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.

The present invention provides a positive electrode active material for nonaqueous electrolyte secondary batteries, the positive electrode active material being capable of improving the initial efficiency. This positive electrode active material for nonaqueous electrolyte secondary batteries, which is contained in a nonaqueous electrolyte secondary battery, comprises a lithium transition metal composite oxide and a sulfonic acid compound that is present on the surface of the lithium transition metal composite oxide. The lithium transition metal composite oxide is a secondary particle that has a layered structure and contains 75% by mole or more of Ni with respect to the total number of moles of metal elements excluding Li. In the element concentration distribution of a cross-section of the secondary particle as determined using time-of-flight secondary ion mass spectrometry, the Gini coefficient on the secondary particle surface of SO3- is 0.7 or less. (In the formula, A represents a group 1 element or a group 2 element; R represents a hydrocarbon group; and n is 1 or 2.)

The utility model discloses a waste heat boiler heat exchanger leakage detection device, which belongs to the technical field of waste heat boiler leakage detection and comprises a waste heat boiler and a heat exchanger, the waste heat boiler and the heat exchanger are connected through a heat exchanger steam side steam inlet pipeline electric door, and the waste heat boiler is further connected with a gas filling pipe through a mixed gas filling port manual door. The gas inlet end of the gas filling pipe is connected with a helium bottle and a compressed air inlet pipe, and a helium mass spectrum detector is arranged in a heat exchanger tube bundle on the heat exchanger. The positive pressure method helium detection technology is adopted, a helium mass spectrometer is used for detecting the heat transfer pipes of the heat exchanger one by one from the lower portion to the upper portion, firstly, the expansion welding portion of each heat transfer pipe is detected, whether leakage exists in the pipe wall of the heat transfer pipe or not is detected after it is confirmed that no leakage exists, and if leakage exists in the expansion welding portions of the heat transfer pipes, leakage is detected. The display value of the detector changes immediately, the leakage part is marked by a marking pen, and after the detector returns to the zero position, the internal leakage condition of the pipe wall of the heat transfer pipe starts to be detected.

The invention provides a process and a method for phase equilibrium regulation and control in petroleum industry, main components of petroleum raw materials are determined through raw material analysis, and pertinence and effectiveness of regulation and control are ensured. According to the invention, the mixed materials are put into the reaction kettle for phase equilibrium regulation reaction, and the reaction temperature, pressure and time are strictly controlled, so that the reaction process is stable and controllable, and the product quality is improved. The specific steps for raw material analysis by using the gas chromatograph-mass spectrometer are detailed and accurate, and the specific steps for determining the regulation and control target define the specific numerical values of the light oil yield and the oil product quality index, so that the regulation and control are more operable. Temperature, pressure and phase composition parameters of a reaction system are monitored in real time through online monitoring equipment, abnormity is found and adjusted in time, and it is ensured that the regulation and control effect is optimal. A distillation or extraction method is adopted for product separation, and proper separation conditions are selected according to target components, so that effective separation and purification of the product are realized.

The invention discloses a leak detector leak rate prediction method based on function fitting and correlation analysis, and relates to the technical field of helium mass spectrometer leak detector detection.The leak detector leak rate prediction method comprises the steps that a leak rate and time associated sequence corresponding to a leak hole is collected, function fitting processing is conducted on the leak rate and time associated sequence, and a leak rate attenuation feature model is obtained; then a real-time data fitting model corresponding to the leak hole is collected, correlation analysis is carried out on the real-time data fitting model and the corresponding leak rate attenuation feature model, and a correlation analysis result is determined; and finally, on the basis of the correlation analysis result, the leak rate of the leak hole is predicted, a leak rate prediction result is determined, the judgment time can be greatly shortened in any leak rate range, and the leak detection efficiency is greatly improved.

The invention relates to the technical field of solid fuel cells, and discloses a solid fuel cell tail gas heat energy cascade recycling system which comprises a tail gas component analysis module, a heat exchange topology construction module, a phase change heat storage control module, a residual pressure power generation adaptation module, a cascade scheduling decision module and a recycling efficiency monitoring module. The tail gas component analysis module generates a component concentration distribution map through mass spectrometry detection; the heat exchange topology construction module establishes a multi-stage heat exchanger network according to the atlas and optimizes parameters; the phase change heat storage control module deploys a phase change material array, divides a temperature control area and generates heat storage data; the excess pressure power generation adaptation module collects pressure signals and fits turbine characteristics to generate power generation parameters; the cascade scheduling decision module constructs a model through a dynamic programming algorithm and generates a scheduling instruction; and the reuse efficiency monitoring module tracks the state in real time and corrects parameters. The system realizes stepped recovery of tail gas heat energy, pressure energy and combustible components, improves energy efficiency and stability, and is suitable for solid fuel cell tail gas treatment.

The present disclosure relates to a machine-learning computing system for training and running a machine-learning model to estimate peptide-retention time for a sample. The machine-learning model can be configured to process inputs that characterize an individual peptide and / or amino acids in the peptide and to output an estimated retention time within a liquid-chromatography column for the peptide. The machine-learning model can include an encoder-decoder model. The encoder and / or the decoder can include a neural network. A subset of peptides can then be identified that are associated with estimated retention times within a specific elution time period during which portion of the sample was eluted from a chromatography column, and mass-spectrometry data can be analyzed to determine which of the subset of peptides are present within the sample.

The invention discloses a screening method for potential quality difference markers of Mongolian medicine Darbibu-5, and relates to the technical field of medicine detection.The screening method specifically comprises the following steps that S1, the overall quality of Darbibu-5 is evaluated from the macroscopic perspective by adopting a fingerprint spectrum technology, and quality difference component groups are screened in combination with a pattern recognition method; s2, on the basis of a serum pharmaceutical chemistry method and an HPLC-Q-Exactive MS technology, comparing the difference between the in-vitro inherent chemical components and the serum migration components of the Darbibu-5 by adopting an analysis process of spectrum library retrieval and mass spectrum recognition, and further analyzing a Darbibu-5 serum migration component group; and S3, determining the potential quality difference marker of Darbibu-5 based on the common components of the quality difference component group and the serum migration component group. The screening strategy not only pays attention to the overall quality of the preparation, but also considers in-vivo functional components, the quality of the preparation can be analyzed objectively, systematically and comprehensively, and a potential quality difference marker is confirmed by adopting a quality difference component group-serum migration component group integration strategy.

The invention belongs to the technical field of dairy product detection, and relates to an index component cis (trans-2-dodecenoic acid for dairy product freshness, a screening method and a dairy product freshness evaluation method.According to the method, the index component cis (trans-2-dodecenoic acid for dairy product freshness is screened out from deteriorated dairy products through an electrostatic field orbitrap high-resolution mass spectrometry technology; in the positive ion mode, the precise mass-to-charge ratio range of parent ions is 199.16744 to 199.16944; the cis (trans-2-dodecenoic acid is used as an evaluation index of the freshness of the dairy product and is used for detecting the freshness of the dairy product; the method for detecting the freshness of the dairy products can objectively reflect the freshness of the dairy products and effectively evaluate the freshness of the dairy products, and is high in sensitivity and specificity.

The utility model relates to a gas valve sealing element airtightness detection device, which belongs to the technical field of valve airtightness detection devices and comprises a casing, a cover, a high-pressure inflation mechanism and a gas mass spectrum leak detector, a cavity is arranged inside the casing, a plug hole is arranged on the top surface of the casing, and a gas leakage hole is arranged on the bottom surface of the casing; the machine cover covers the machine shell and is provided with an air inflation hole, the machine cover is fixedly provided with an insertion column, the insertion column is inserted into the insertion hole in a matched mode, and the insertion column is provided with a vent hole communicated with the air inflation hole; an air outlet hole of the high-pressure air inflation mechanism is communicated with the air inflation hole; a gas inlet of the gas mass spectrum leak detector is communicated with the gas leakage hole. According to the utility model, the plugging column is adaptively plugged in the plugging hole to seal the contact gap between the machine cover and the machine shell, and then the peripheral side wall of the sealing ring is in sealed contact with the cavity wall of the cavity to simulate the real sealing environment of the sealing ring, so that the gas mass spectrometer leak detector can detect the amount of gas at the gas leakage hole according to the amount of gas detected by the gas mass spectrometer leak detector at the gas leakage hole. Before the gas valve is assembled, the gas tightness of the valve core and the sealing ring is detected.

The invention relates to the technical field of vacuum detection, in particular to a system for quickly judging whether a complex vacuum chamber has vacuum leakage or not. Aiming at the problem of vacuum leak detection, the invention provides the following technical scheme: the judgment system consists of a test vacuum chamber, a background vacuum chamber, a quadrupole mass spectrometer, a vacuum gauge tube and a vacuum unit; the test vacuum chamber is connected with the background vacuum chamber through a corrugated pipe; the vacuum gauge tube and the background vacuum chamber are connected through a CF35 knife edge sealing flange, and the quadrupole mass spectrometer and the background vacuum chamber are connected through a CF35 knife edge sealing flange. According to the invention, the leakage detection requirements of non-standard complex vacuum systems and various high-requirement vacuum systems in the nuclear fusion field at the present stage are met, and non-intrusive, rapid and high-reliability leakage judgment is realized through multi-interface adaptation, high-vacuum stable maintenance, dual precise monitoring and low-leakage-rate sealing design; the method is suitable for batch detection and on-line monitoring of fusion subsystems or engineering occasions with strict requirements for leak detection efficiency and accuracy.

The invention discloses a molecular simulation and flavor perception-based beer umami peptide efficient identification method, and relates to the technical field of food flavor analysis and bioinformatics. The method comprises the following steps: performing liquid-liquid extraction and mass spectrum analysis on a beer sample to obtain a polypeptide sequence; screening the umami active peptide based on a UMPred FRL model; the method comprises the following steps: constructing a T1R1 / T1R3 receptor homologous model, and screening a peptide fragment of which the binding energy is lower than-25kcal / mol by adopting a CDOCKER semi-flexible docking mode; screening a stable peptide of which the delta Gbind is lower than-50kcal / mol through molecular dynamics simulation and MM / GBSA calculation; and finally, the umami characteristic is verified by combining an electronic tongue and a sensory test. The screened peptide fragment can be used for improving umami perception and taste balance of beer.

The invention provides a performance test system for a low-temperature liquid one-way valve, and particularly relates to the field of low-temperature equipment. The performance test system for the low-temperature liquid one-way valve is characterized in that the outlet end of a high-pressure gas storage tank sequentially penetrates through a cold box and a test platform liquid pool; the first heat exchanger and the to-be-tested low-temperature one-way valve are sequentially connected in a liquid pool of the test platform, and finally the to-be-tested low-temperature one-way valve sequentially penetrates through the test platform and the cold box from the outlet end of the to-be-tested low-temperature one-way valve and is connected with the first exhaust treatment device, and the inlet end of the helium mass spectrometer leak detector is connected to the outlet end of the high-pressure gas storage tank. The outlet end of the helium tank is connected to the outlet end of the low-temperature one-way valve to be tested, and testing of the opening pressure difference, the closing pressure difference, the flow characteristic and the sealing performance of the one-way valve at the low temperature can be achieved.

The invention relates to a method for determining an odor threshold value of an odor substance of an artificial board, belongs to the technical field of odor detection of the artificial board, and solves the problem that the result accuracy of an odor analysis system is influenced due to low detection precision of the odor threshold value of the odor substance of the artificial board in the prior art. The method comprises the following steps: preparing a sample; the method comprises the following steps: pretreating a test sample, and collecting mixed odor substances in the test sample; separating the mixed odor substances by using gas chromatography, and respectively conveying the separated single odor substances to a mass spectrum for qualitative analysis of the odor substances; the method comprises the following steps: carrying out qualitative analysis on the odorous substances, conveying the odorous substances to a sniffing instrument by using carrier gas for artificial sniffing, adjusting a split ratio at a sample inlet, and determining a sniffing threshold value of each odorous substance. The detection precision of the odor threshold value of the odor substances of the artificial board is improved.

The invention relates to the technical field of cooler leakage detection, and discloses automobile engine oil cooler production leakage detection equipment, which comprises a supporting seat, the top of the supporting seat is fixedly connected with a detection assembly, the top of the inner ring of the detection assembly is provided with a lifting assembly, and the middle part of the side wall of the lifting assembly is movably connected with a pressing plate. A conveying assembly is movably connected to the side wall of the supporting base, clamping assemblies are arranged at the two ends of the bottom of the lifting assembly, and a monitoring assembly is arranged on the front side of the pressing plate. Array sensors in the detection assembly are accurately arranged, and a pressure sensor array is matched with a helium mass spectrum sensor array, so that accurate leakage positions of the cooler can be rapidly detected; the lifting assembly links the pressing plate and the clamping assembly, the hydraulic cylinder drives the pressing plate to press the top of the cooler, the inflator controls the left and right clamping plates to seal the two sides of the cooler, and efficient detection and pressure application are achieved. The conveying assembly, the conveying assembly and the positioning assembly cooperate with one another to automatically complete conveying and positioning of the cooler.

The present invention discloses a methane calcium chain reforming single fluidized bed reaction system and reaction method, comprising a cylindrical quartz tube filled with reaction particles, an adjustable light source located beside the cylindrical quartz tube with its radiation focus located at the top center of the reaction particles, a thermal insulation layer wrapped around the outside of the cylindrical quartz tube, a position adjustment device for driving the cylindrical quartz tube to move and rotate, thermocouples uniformly distributed within the cylindrical quartz tube, a gas distribution system for supplying reaction gas into the cylindrical quartz tube, a mass spectrometer connected to the gas outlet of the cylindrical quartz tube via a drying tube, and a control system connected to the thermocouple, the gas distribution system, and the mass spectrometer, respectively. The thermal insulation layer is provided with an inlet on the side facing the adjustable light source. The present invention aims to achieve efficient energy absorption and conversion while reducing heat dissipation, capturing CO2 while obtaining high-value-added hydrocarbon fuels.