1999 results about "Chromatography gas" patented technology

The invention discloses an online multi-channel rapid gas chromatographic analysis system and method, particularly relates to the technical field of gas chromatographic analysis, and is used for solving the problems of baseline noise rise and trace component detection precision reduction caused by physical coupling and signal interference when multiple detectors work in parallel in the prior art. Interference signal features of adjacent detection channels are extracted, a chaotic or linear compensation signal is dynamically generated in combination with harmonic primary and secondary sorting and recursive quantization factor analysis, and common-mode interference of a target channel is suppressed. Electromagnetic isolation parameters of a shielding structure are adjusted in real time based on the baseline signal after noise suppression, and accurate matching of impedance and interference spectrum is achieved; further separating time domain overlapped signals and analyzing asymmetric distortion characteristics, and eliminating system errors through normalization calibration; dynamic interference suppression, electromagnetic shielding optimization and signal distortion traceability are combined, the anti-interference capability and analysis precision of multi-channel detection are remarkably improved, and the method is suitable for high-throughput rapid detection scenes of complex samples.

The invention provides a method for determining hydrocarbon components in mixed aromatic hydrocarbons by using comprehensive two-dimensional gas chromatography-mass spectrometry. The method comprises the following steps: optimizing a target function to make a chromatographic peak signal obtained by a separation model accord with a chromatographic separation process mechanism, fully utilizing complementary information of chromatography and mass spectrometry, improving separation precision, and guiding analysis of complex aliasing peaks; analyzing overlapped chromatographic peaks determined by principal component analysis by adopting the established separation model to obtain a chromatographic peak signal representing a single component after separation, and matching the chromatographic peak signal with a corresponding mass spectrum; in combination with a single chromatographic peak signal and a mass spectrum obtained through separation, according to characteristic fragments and chromatographic retention time in the mass spectrum, component types corresponding to chromatographic peaks are judged, and characterization of the composition of the mixed aromatic hydrocarbon is achieved; a separated single chromatographic peak is subjected to quantitative analysis, the content of each component is calculated by adopting an external standard method in contrast with a standard curve, a quantitative result of the mixed aromatic hydrocarbon sample is obtained, and the measurement precision of the mass fraction of each hydrocarbon component is improved.

A semiconductor nanoparticle, a production method, and an electroluminescent device including the same. The semiconductor nanoparticle includes zinc, sulfur, and selenium, and the semiconductor nanoparticle comprises a first semiconductor nanocrystal; and a semiconductor nanocrystal shell including zinc and sulfur disposed on the first semiconductor nanocrystal, and the semiconductor nanoparticle does not include cadmium; the semiconductor nanoparticle further includes a plurality of organic ligands (or a ligand system), that include a first organic ligand having a carboxylate moiety and a second organic ligand having a carboxylate moiety different from the first organic ligand. In a gas chromatography analysis, the semiconductor nanoparticle exhibits a first peak assigned to the first organic ligand and a second peak assigned to the second organic ligand, wherein an area percentage of the first peak relative to the second peak is greater than or equal to about 1% and less than or equal to about 300%.

The invention discloses a method for determining the purity of electronic-grade hexafluoroethane, and relates to the technical field of the purity of hexafluoroethane, and the method comprises the following steps: vacuumizing a specific sampling container to 10 <-3 > Pa to 10 <-2 > Pa, forming a super-hydrophobic coating on the inner wall, sampling in a temperature-controlled, humidity-controlled and pressure-controlled environment, and removing water and impurities through two-stage pretreatment; enhancing analysis by using a gas chromatograph, a specific carrier gas, a column temperature program, a micro-fluidic chip and an ion mobility spectrometry; then secondary scanning analysis is carried out by using a mass spectrometer double ion source and a calibration system; and finally, learning and matching an algorithm through a data processing system machine. Samples can be accurately collected and pretreated, gas chromatography and mass spectrometry analysis is more accurate and efficient, a data processing system can accurately determine impurities and purity, multiple measurement data can be counted and analyzed, the result reliability is improved, all parts of the system are optimized and matched, the accuracy and stability of the whole process are guaranteed, and the purity is calculated; the method further comprises statistical analysis of multiple measurement data.

The invention discloses a method and a system for identifying mixed gas in transformer oil, a product and a medium, and relates to the technical field of testing or analyzing materials by means of measuring chemical or physical properties of the materials, and the method comprises the following steps: acquiring an internal structure diagram of a transformer, determining spatial position relations of parts and corresponding temperature distribution characteristics, and obtaining solubility differences of different spatial positions according to the spatial position relations and the corresponding temperature distribution characteristics. During operation, mixed gas concentration data of a plurality of detection points are collected, initial gas concentration data are recorded when an operation threshold range is deviated, and gas concentration change data are corrected according to solubility differences of different temperature zones. Calculating gas concentration space-time distribution characteristics, and determining a gas accumulation area according to the gas concentration space-time distribution characteristics and a space position relation. And separating the mixed gas components by using a gas chromatographic method, comparing preset gas types with the content of each component, and determining the corresponding gas type of each internal region. By implementing the method, the accuracy of identifying the types of the mixed gas in the transformer oil can be improved.

The invention relates to the technical field of aplastic anemia (AA) treatment research, discloses a biomarker method for predicting the curative effect of cyclosporine on aplastic anemia, and aims to detect plasma differential metabolites of patients with aplastic anemia by adopting a metabonomics technology, find potential biomarkers for treating AA patients and find the curative effect of cyclosporine on the AA patients. CsA) is used for treating the in-vivo metabolism of AA. The method is based on liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) technologies, and comprises the following steps: collecting 5 plasma samples of AA patients, 5 plasma samples of healthy people and 5 plasma samples of patients in a stable period after treatment for comparative analysis; and screening differential compounds by adopting a multivariate statistical method, and further performing enrichment analysis on differential metabolites. Research of the method shows that in-vivo metabolites of AA patients and healthy people are obviously different, and the way related to immunity and energy metabolism may be a key target for treating AA; csA intervenes the occurrence and development of AA by regulating and controlling immune-related metabolic ways.

The invention discloses a method for detecting ethylene oxide and acetonitrile in stationary source waste gas, which comprises the following steps: collecting the stationary source waste gas according to a waste gas sampling device, and researching the movement direction of the stationary source waste gas to obtain movement characteristics; carrying out ethylene oxide and acetonitrile detection on the stationary source waste gas by adopting a gas chromatographic method according to the motion characteristics to obtain first detection data; carrying out ethylene oxide detection on the stationary source waste gas by adopting an electrochemical analysis method, and carrying out acetonitrile detection by adopting a liquid chromatography to obtain second detection data; and performing data fusion on the first detection data and the second detection data to obtain a comprehensive quantity, and outputting the comprehensive quantity as a detection result. The method not only can improve the detection precision of the ethylene oxide and the acetonitrile in the stationary source waste gas, but also has better interpretability, and can be directly applied to a detection system of the ethylene oxide and the acetonitrile in the stationary source waste gas.

The invention relates to a method and a system for measuring fragrance components of essence, and relates to the technical field of essence quality identification, and the method comprises the following steps: S1, constructing a liquid chromatography-gas chromatography-supercritical fluid chromatography multi-dimensional combined analysis system, the system comprises a liquid chromatography system, a gas chromatography system and a supercritical fluid chromatography system which are connected in sequence, and S2, carrying out separation detection on essence samples from different sources or formulas by using the liquid chromatography-gas chromatography-supercritical fluid chromatography multi-dimensional combined analysis system to obtain multi-dimensional chromatographic data containing volatile and non-volatile components. According to the present invention, with the liquid chromatography-gas chromatography-supercritical fluid chromatography multi-dimensional combined analysis system, the separation problem of the aroma components with similar structures can be effectively solved, and compared with the traditional technology, the separation degree is significantly improved, and the volatile and non-volatile component information in the essence can be completely obtained.

The invention relates to the technical field of tourism services, in particular to a grease detection device and method for edible oil production and processing, and a system comprises a spectral data acquisition module, a component ratio calculation module, a spectral feature analysis module, a chemical component deviation evaluation module and a smell component fluctuation detection module. According to the method, accurate identification of edible oil component characteristics is improved by using the laser Raman spectrometer, fine analysis of complex components is realized by combining gas and liquid chromatograms and mass spectrometers, release of volatile substances is monitored by the electronic nose sensor, and environmental adaptability and dynamic response capability of data are enhanced. Through automatic abnormal data elimination and normalization processing, the data consistency and standardization level are improved, the accuracy of sample classification and edible oil safety assessment is further improved through multi-parameter ratio calculation and peak position offset analysis, the data processing flow is optimized, automation and intelligence of the detection system are enhanced, and the detection efficiency is improved. And the efficiency and the precision of edible oil detection are obviously improved.

The present disclosure generally relates to a chromatography column adapter for forming a fluid connection between a chromatography column and a GC component. The present disclosure also relates to a fluid connection for a gas chromatography system.

The invention discloses a model method for predicting cheese preference degree based on GC-MS combined with machine learning, and belongs to the technical field of cheese evaluation. The method comprises the following steps: firstly, determining the cheese preference of Chinese consumers by adopting a method for checking all suitable items, determining the nature of volatile flavor compounds by combining headspace-arrow type solid-phase microextraction and gas chromatography-mass spectrometry, and quantifying by adopting an internal standard curve method. Secondly, the correlation between the sensory attributes and the compounds is established through quantitative description analysis and Pearson correlation coefficients, and the characteristic flavor compound of each sensory attribute is obtained; and finally, establishing a cheese consumer preference degree identification method by using a machine learning algorithm, and predicting the Chinese consumer preference degree of unknown cheese by using the model. According to the method, the cheese preference degree of Chinese consumers can be accurately recognized only by means of data obtained through instrument analysis and the classification model, a set of more objective and rapid cheese consumer preference degree prediction method is established, and more accurate prediction is achieved along with the increase of sample libraries.

A method and apparatus for the rapid analysis of the molecular components of naphtha. The method comprises: receiving scanning spectrum data of target naphtha (S201); using a calibration spectrogram data set to calibrate the scanning spectrum data, wherein the calibration spectrogram data set is obtained by means of scanning a plurality of naphtha samples under preset detection conditions by using a plurality of spectrometers, and the scanning spectrum data is obtained by means of scanning the target naphtha on the basis of a first scanner among the plurality of spectrometers (S202); and performing, from a preset naphtha molecular composition library, matching to obtain a molecular composition corresponding to the calibrated scanning spectrum data, and obtaining predicted molecular properties of the target naphtha on the basis of the molecular composition, so as to determine macroscopic properties of the target naphtha, wherein the naphtha molecular composition library is obtained by using comprehensive two-dimensional gas chromatography technology (S203). The analysis of fraction molecular components of naphtha fractions and the characterization of macroscopic physical properties of petroleum fractions can be accurately and efficiently implemented.

Improved gas sample preprocessing is provided for scanning optical spectroscopic analysis instruments by tailoring characteristic gas handling times to the scan time Ts of the analysis instrument. In particular, for sample preconcentration, the desorption duration Td of the sample preconcentrator should be ≥2Ts. For gas chromatography, the elution duration Te of relevant eluted species should be ≥2Ts. This advantageously avoids having significant changes in the gas sample within the analysis instrument as a scan is being performed.

The invention discloses a method for inducing sandalwood suspension cells to synthesize santalene. The method comprises the following steps: (1) performing induced callus culture on sandalwood explants; (2) carrying out suspension culture on the sandalwood callus to obtain a suspension cell line; and (3) adding cytokinin and auxin into the cell culture fluid of the suspension cell line, and performing induced culture to obtain the sandalwood suspension cell with high content of santalene. The method takes plant cell culture as a technical basis, and comprises the following steps: firstly, establishing a stable sandalwood suspension cell line; by adding cytokinin and auxin into the sandalwood cell culture fluid, the synthesis of the sandalene can be promoted, so that the content of the sandalene is increased. The result of the embodiment shows that according to the method provided by the invention, the biomass of the sandalwood suspension cells is improved by adding the cytokinin and the auxin. The product content in the sandalwood suspension cell line is about 3% and is obviously higher than that of a control group; gC-MS (gas chromatography-mass spectrometry) detection shows that the main components are alpha-santalene and beta-santalene.

The invention relates to the technical field of substance detection and analysis, in particular to a method for identifying lactone odor active compounds in milk. According to the method for identifying the lactone odor active compounds in the milk, provided by the invention, the pretreatment of the milk sample is performed by combining the thin-film solid-phase microextraction with the sequential stirring rod adsorption method, and the gas chromatography-sniffing-mass spectrometry technology is matched, so that the sniffing detection rate of the lactone odor active compounds in the milk is remarkably increased; the method has the advantages of high efficiency, strong operability, environmental protection and the like, and has important application value in milk lactone odor active compound detection and milk flavor evaluation.

The invention discloses an analysis method for detecting short-chain fatty acid in table salt by headspace arrow-shaped solid phase microextraction-gas chromatography mass spectrometry, and belongs to the field of analysis and detection. According to the method, firstly, based on a headspace arrow-shaped solid-phase microextraction technology, polar short-chain fatty acids are extracted and enriched by using an extraction head of 100 [mu] m Polyacrylate, and then gas chromatography-mass spectrometry is used for detection, so that qualitative and quantitative detection of nine short-chain fatty acids such as acetic acid, propionic acid, isobutyric acid, butyric acid, 2-methylbutyric acid, valeric acid, 2-methylvaleric acid, 4-methylvaleric acid and hexanoic acid in the table salt can be realized. According to the method, the headspace arrow-shaped solid-phase microextraction technology is used for extracting the short-chain fatty acid in the table salt for the first time, the effects of interference removal, concentration and enrichment are achieved, and the detection limit of the method is reduced by about 2 orders of magnitude compared with that of a headspace-gas chromatography-mass spectrometry method. The method is simple in sample preparation, high in sensitivity, good in recovery rate and stability and suitable for accurate detection of the short-chain fatty acid in the table salt.

The invention discloses a method for detecting organic carbon components in soil based on gas chromatography-mass spectrometry, and particularly relates to the technical field of soil detection. The method comprises the following steps: pretreating fresh soil to obtain a fresh soil sample and an air-dried soil sample, respectively extracting organic carbon components to obtain a DOC extracting solution and an LOC extracting solution, and sequentially and respectively carrying out purification treatment, concentration treatment and derivatization on the DOC extracting solution and the LOC extracting solution to obtain a DOC to-be-detected solution and an LOC to-be-detected solution; respectively detecting the DOC to-be-detected liquid and the LOC to-be-detected liquid in a GC-MS instrument to obtain a total ion flow chromatogram, and carrying out qualitative and quantitative analysis to obtain organic carbon component data. Through step-by-step extraction, selective derivatization and GC-MS accurate analysis, molecular level separation, identification and quantification of water-soluble organic carbon DOC and oxidizable organic carbon LOC in soil are achieved, the method is particularly suitable for evaluating contribution of carbohydrate, amino acid and organic acid to the carbon turnover rate, and the method is good in selectivity and high in sensitivity.

The invention relates to the technical field of gas component detection, in particular to a public place gas detection method based on gas chromatography, which comprises the following steps: a mobile robot covers all areas of a public place according to a predetermined path, collects an air sample, and pretreats the collected gas sample through a filter or an adsorbent; a gas sample enters a detector after being separated by a gas chromatographic column, and harmful gas components are identified; according to the detected harmful gas concentration, combining historical data and a threshold value, calculating the danger level of each region, and carrying out danger level division on the region of the public place; according to the danger level, the system automatically selects and executes corresponding countermeasures; and the system records a historical data set of all countermeasures, and optimizes the countermeasures through a machine learning algorithm. According to the invention, full coverage, multi-area dynamic monitoring, accurate risk prediction and grading processing can be realized, and the response speed and the use effect of the system are improved.

The invention relates to a carbon capture absorbent degradation performance evaluation method and a determination device, the method comprises the following steps: accelerating aging degradation of a to-be-detected sample under high pressure oxygen and heating conditions, simulating the oxidation process of an absorbent in long-term operation, and shortening the experimental period; in the test process, the pressure and temperature of the reaction kettle are automatically collected, a pressure-time curve is established, and the degradation resistance of the sample is comprehensively judged according to the pressure drop rate and inflection point time. The method for evaluating the degradation performance of the carbon capture absorbent can be used for rapidly and comprehensively evaluating the sample, and meanwhile, the degradation degree can be analyzed and judged without the help of high-end equipment such as cation chromatography and gas chromatography, so that the method is convenient and efficient; the method is particularly suitable for testing and optimizing the oxidation resistance of novel absorbents such as composite absorbents and phase change absorbents.

The invention relates to a gas chromatography instrument (2) for autonomously determining a concentration of a volatile marker in a liquid sample. The instrument (2) comprises a sampling device (8) configured for autonomously sampling a liquid to be analyzed, a gas sensor (14), and a conversion device (12) connected to the sampling device (8) and the gas sensor (14). By utilizing a conversion device (12) that is configured to autonomously convert the sampled liquid into a gas to be analyzed by the gas sensor 14, an automated continuous monitoring of relevant markers in liquid samples is achieved.

The invention relates to a method for simultaneously detecting three related substances in an olpinapone starting material. According to the detection method, the three related substances in an opinapone starting material are simultaneously detected by using a gas chromatographic method of a hydrogen flame ionization detector. According to the detection method, the problem that three related substances cannot be detected simultaneously due to weak ultraviolet absorption and large difference under the liquid chromatography condition can be solved, the matrix effect generated by an opiapone starting material under the gas chromatography condition can be eliminated, the condition that the separation degree of the three related substances is poor is improved, and the detection accuracy is improved while the detection efficiency is improved. And the true and reliable quality of the initial material of the olpinapone is also ensured. The method can be used for simultaneously and quantitatively detecting three related substances higher than 0.02% in the initial material of the opinapone, and is high in sensitivity, good in separation degree, high in practicability and simple and rapid in detection process.

The invention provides an analysis method for high-throughput evaluation of tobacco nicotine synthesis capability, and belongs to the technical field of nicotine synthesis capability analys.The analysis method comprises the steps that tobacco seeds are disinfected, germinated and cultured for 14 days to obtain seedlings, the seedlings are transferred to a control medium and an induction medium added with 3 [mu] M of methyl jasmonate to be cultured for 15 days, and the seedlings are obtained; the method comprises the following steps: removing water from an overground part for 15 minutes at 105 DEG C, drying at 65 DEG C until the weight is constant, grinding the overground part into powder, adding a NaOH solution and ethyl acetate containing an internal standard, carrying out vortex mixing uniformly, carrying out ultrasonication for 15 minutes, taking supernate, filtering to obtain sample extract liquor, inputting peak area data into an intelligent prediction model based on a hierarchical weight mechanism, and processing to obtain prediction correction data, the nicotine concentration of a sample is calculated by combining gas chromatography detection with a standard curve, the concentration is corrected by utilizing predicted correction data, finally, nicotine content data is calculated according to the corrected concentration and the dry weight of the sample, and high-precision evaluation of the tobacco nicotine synthesis capability is realized.

A pesticide residue extraction solution adapted for a rapid extraction method of stock solution of agricultural products and a pesticide residue detection method in agricultural products. The pesticide residue extraction solution includes acidic solution and acetone solution. The rapid extraction method includes homogenizing the agricultural product sample, to obtain a homogenized sample; mixing the pesticide residue extraction solution with the homogenized sample to form a sample solution; and subsequently using a column filled with mixed powder to filter out the water and impurities from the sample solution, thereby obtaining a stock solution of the agricultural product. The method for detecting agricultural product pesticide residues includes using the rapid extraction method to obtain the stock solution of agricultural product, and to directly input the stock solution of the agricultural product into a liquid chromatography tandem mass spectrometer or a gas chromatography tandem mass spectrometer for pesticide residue detection.

The utility model relates to the technical field of a gas chromatograph-mass spectrometer, in particular to a gas chromatograph-mass spectrometer with a material shunting function. Comprising a machine body, a feeding plate is fixedly connected to the machine body, a feeding head is arranged on the feeding plate, a dust cover is fixedly connected to the feeding plate, a rotating cover is rotationally connected to the machine body, a storage box is rotationally connected to the machine body, and a storage groove is formed in the storage box. When a perfume mixture is placed in the placing groove, the shunting motor drives the storage box to rotate, so that the mixture centrifugally moves in a bottle, the mixture in the bottle is layered, and the feeding head moves downwards along the fixing column until the feeding head penetrates into the bottle of the mixture; then the substances in the bottle are sampled according to the layering condition of the substances in the bottle, so that the mixture can be divided into different groups according to different properties and is added into a machine body for detection, and the detection accuracy of the device is enhanced.

The invention relates to the field of oil and gas exploration and development, and discloses a shale oil chromatography fingerprint identification model, a model construction method and an identification method, and the method comprises the following steps: detecting a plurality of shale oil saturated hydrocarbon samples by using a gas chromatography-mass spectrometry technology to obtain initial detection data; extracting retention time and chromatographic response data from the initial detection data; based on the retention time and the chromatographic response data corresponding to each shale oil saturated hydrocarbon sample, obtaining each initial chromatographic fingerprint time sequence signal, and optimizing each initial chromatographic fingerprint time sequence signal to obtain each target chromatographic fingerprint time sequence signal; and based on a K-Shape algorithm and each target chromatographic fingerprint time sequence signal, constructing a shale oil chromatographic fingerprint identification model. The shale oil chromatographic fingerprint identification model is constructed based on a K-Shape algorithm with a better clustering effect, so that the shale oil saturated hydrocarbon chromatographic fingerprint can be accurately identified by using the shale oil chromatographic fingerprint identification model.

The invention provides a method for detecting micron and nano plastics in soil or sediments and related application. The detection method comprises the following steps: providing a soil or sediment sample to be detected; the method comprises the following steps: pretreating a to-be-detected soil or sediment sample to obtain a to-be-detected solution; performing multi-stage filtration treatment on the solution to be detected to obtain micro-plastic particles in a plurality of particle size intervals; wherein the plurality of particle size intervals comprise a first particle size interval, a second particle size interval and a third particle size interval; the particle size of the first particle size interval is 1-5000 [mu] m; the particle size of the second particle size interval is 220-1000 nm; the particle size of the third particle size interval is 10-220nm; and performing quantitative analysis on the micro-plastic particles in the plurality of particle size intervals through pyrolysis-gas chromatography / mass spectrometry to obtain the mass concentration of the micro-plastic particles in the plurality of particle size intervals. The problem that the risk assessment of micron and nano plastics is not accurate enough at present can be solved to a certain extent.

The invention discloses a method for detecting a chiral isomer of 6-hydroxy-8-chloro ethyl caprylate. The method comprises the following steps: carrying out gas chromatography detection on a test solution containing R-6-hydroxy-8-chloro ethyl caprylate and S-6-hydroxy-8-chloro ethyl caprylate, wherein the gas chromatography detection is carried out on the test solution containing R-6-hydroxy-8-chloro ethyl caprylate and S-6-hydroxy-8-chloro ethyl caprylate; the conditions of the gas chromatography detection are as follows: a chromatographic column is selected from a chiral chromatographic column containing beta-cyclodextrin; the chromatographic column adopts programmed heating in the detection process, the initial column temperature is 120-180 DEG C, the final column temperature is 190-220 DEG C, and the heating rate is 0.5-2.0 DEG C / min. The method is based on a gas chromatographic method, adopts a beta-cyclodextrin-containing chiral chromatographic column, and is combined with programmed heating at a specific initial column temperature heating rate, so that the two chiral isomers of 6-hydroxy-8-chloro ethyl caprylate can be separated and detected, the sensitivity is high, the specificity is good, and the separation degree meets the standard; the method has important significance on preparation of single-configuration lipoic acid.

The invention discloses a GC-MS (Gas Chromatography-Mass Spectrometer) characteristic fingerprint spectrum-based shaddock peel sauce quality monitoring system and method, belongs to the technical field of shaddock peel sauce processing, and particularly relates to production quality monitoring and control of (Lixizhou) shaddock peel sauce. The problems that in an existing GC-MS combined technology, feature marker screening is lack of intelligence, the map stability is limited by environment interference, the system integration degree is low, and the real-time performance is insufficient are solved, and intelligent quality control over the whole shaddock peel sauce production chain is achieved. The system comprises a multi-source data fusion control module; and the multi-source data fusion control module is used for generating a process regulation and control instruction according to the characteristic peaks in the dynamic fingerprint spectrum model, the sensor data after drift correction and the equipment state parameters. The GC-MS characteristic fingerprint spectrum-based shaddock peel sauce quality monitoring system and method are suitable for the production quality monitoring and control of shaddock peel sauce (especially Sizhou shaddock peel sauce).