744 results about "Chromatography gas" patented technology

A method for quality control checking a gas chromatography apparatus at a rig site, the GC apparatus including at least a main column and a makeup flow line in fluid communication with a detector manifold. The GC apparatus measures a first chromatogram of a gas sample with a first makeup gas flow rate and a second chromatogram of the gas sample with a second makeup gas flow rate, wherein the second makeup gas flow rate is greater than the first makeup gas flow rate. The elution times of at least one common peak in the first and second chromatograms are compared to indicate a leak or an obstruction in the makeup flow line or the detector manifold.

The invention mainly relates to the technical field of spectral analysis, and provides a white spirit brewing spectral analysis method and system based on a multi-modal large language model in order to efficiently and accurately obtain white spirit brewing information according to multi-modal spectral data of all links of white spirit brewing. The method is characterized by comprising the following steps of: collecting multi-mode spectrum data including gas chromatography data, infrared spectrum data and Raman spectrum data in each link of white spirit brewing; converting the multi-modal spectral data and the natural language instruction into a feature embedding vector which can be recognized by a large language model to train the large language model which is finely adjusted based on professional knowledge in the field of white spirit, and receiving a question of a user in a natural language instruction form by the trained large language model; wine making analysis tasks such as flavor compound identification, key microorganism detection, fermentation state evaluation and base wine quality grading are carried out, and finally analysis results and wine making process optimization suggestions are output in a natural language form, so that the accuracy and efficiency of spectrum data interpretation in the white wine making process are improved.

The invention relates to the technical field of analysis and detection, in particular to a method for simulating and detecting micro / nano plastic released by food contact plastic products. The method provided by the invention aims at the blank of the existing food-source micro-plastic detection system, simulative component liquid is collected by simulating the contact between food components and food plastic products, micro-nano plastics are separated through a 1m filter membrane, and micro-sized plastics on the filter membrane are qualitatively and quantitatively detected by adopting a microscopic infrared spectrum and a scanning electron microscope. The water sample under the filter membrane is subjected to qualitative and quantitative treatment on the nano-plastic by a thermal cracking-gas chromatography-mass spectrometry combined technology and a nano-particle tracking analyzer, so that programmed comprehensive detection is realized. According to the method, the amount and what kind of micro-nano plastic can be released by the plastic product in a real use chain are more clearly revealed, support is provided for a market supervision system, health and life safety of the masses are guaranteed, and the method has a good application prospect.

The invention provides a method for preparing alkane olefin by catalyzing microalgae pyrolysis through an alkali modified molecular sieve, and belongs to the field of biomass energy utilization. According to the method, the ZSM-5 molecular sieve raw powder is modified by adopting the alkaline solution, so that the pore structure of the ZSM-5 molecular sieve can be improved, the distribution of acidic sites can be optimized, the regulation and control of a microalgae pyrolytic reaction path can be realized under relatively mild conditions, the deoxidation reaction can be promoted, the content of oxygen-containing products can be reduced, and the generation of alkane olefin substances can be promoted; the aromatization reaction strength is reduced, and the selectivity of light hydrocarbons is improved, so that the content of alkanes and olefins in the pyrolysis bio-oil reaches 70% or above, and the quality of the pyrolysis bio-oil is remarkably improved. Results of the embodiment show that the pyrolysis bio-oil provided by the invention is subjected to gas chromatography-mass spectrometry detection, and the alkane-olefin peak area content is greater than 70%.

The invention relates to the technical field of tobacco leaf element analysis, in particular to a detection method for volatile compounds in tobacco leaves and a clustering analysis method for the tobacco leaves. The method for detecting the volatile compounds in the tobacco leaves comprises the following steps: drying and pulverizing tobacco leaves to be detected to prepare sample powder of the tobacco leaves to be detected; extracting the mixed solution of the tobacco leaf sample powder to be detected and the internal standard solution by adopting a headspace solid-phase microextraction method to prepare an extracting solution; carrying out gas chromatography-mass spectrometry detection on the extract liquor; wherein an extraction head used by the headspace solid-phase microextraction method is a divinylbenzene / carbon molecular sieve / polydimethylsiloxane composite coating extraction head, and the parameters of the headspace solid-phase microextraction method are as follows: the extraction temperature is 75-85 DEG C, the extraction time is 45-55 minutes, the desorption time is 4-6 minutes, and the equilibrium time is 3-7 minutes. The method for detecting the volatile compounds in the tobacco leaves, provided by the invention, can effectively separate and analyze the volatile components, and is simple and efficient.

The invention belongs to the field of chemical engineering, and relates to a process device and method for continuously synthesizing glycidyl (3-chloro-1, 2-propylene glycol and sodium hydroxide (hereinafter referred to as NaOH) as raw materials). The device comprises a raw material feeding pump, a heat exchanger, a micro-reactor, a delay tube reactor 1, a neutralization micro-reactor and a delay tube reactor 2 which are sequentially in fluid communication through pipelines, the heat exchangers are divided into two groups, one group is used for heat exchange of 3-chloro-1, 2-propylene glycol solution, and the other group is used for heat exchange of alkaline solution. According to the method, a 3-chloro-1, 2-propylene glycol solution and a sodium hydroxide solution (NaOH) are adopted as raw materials, glycidol is continuously prepared through a microchannel reactor, on the basis, an acid-base neutralization reaction can be carried out in situ according to needs to remove redundant alkali, redundant heat generated by the acid-base neutralization reaction is absorbed through a low-temperature material, and energy consumption is reduced; the product is analyzed by gas chromatography, and the generated glycidol does not have hydrolysates or auto-polymerization products, so that the product selectivity is higher.

The invention discloses a triphenyl phosphate standard substance structure identification method, and relates to the technical field of fluorine-containing gas emission reduction, and the method comprises the following steps: obtaining a standardized analysis sample through fluorine-containing matrix separation, target substance enrichment and solvation treatment; a multi-dimensional chromatographic system and a heart cutting technology are adopted, and temperature programming optimization is combined to realize separation and purification of a sample; carrying out multi-dimensional structure analysis and confirmation by using gas chromatography-mass spectrometry, infrared spectroscopy and nuclear magnetic resonance technologies; a five-stage progressive identification algorithm is constructed, and systematic identification is realized by combining a confidence evaluation system and a fluorine-containing interference correction technology; establishing a structural integrity verification and purity quantitative evaluation standard, and outputting a standardized identification report; a method applicability database is established through multi-type fluorine-containing environment verification and process condition adaptability testing. The method effectively solves the problem of accurate identification of triphenyl phosphate in a complex fluorine-containing matrix, and realizes effective removal of interference components such as light gas, hydrofluorocarbon, perfluorinated compounds and the like.

The invention discloses a quality mining and evaluation method of a wolfberry characteristic flavor nourishment, and relates to the technical field of food quality analysis and sensory evaluation, and the method comprises the following steps: S1, carrying out non-targeted analysis on the wolfberry characteristic flavor nourishment by adopting headspace solid phase microextraction in combination with comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry, and obtaining original abundance data of the volatile compound. According to the quality mining and evaluation method for the Chinese wolfberry characteristic flavor nourishment, accurate identification and quantitative evaluation of key flavor substances in the Chinese wolfberry characteristic flavor nourishment are realized by establishing a flavor contribution potential index model and combining a dual verification mechanism. According to the method, the limitation that only a single chemical component is concerned or actual sensory experience is ignored is solved, and the accuracy and reliability of flavor component screening are improved by integrating multi-dimensional parameters such as instrument response intensity, human olfaction threshold and matrix release characteristics and through cross validation of a gas chromatography-olfaction technology and a standard substance addition experiment.

The invention discloses a fluorescent probe for rapidly detecting acetylene, the fluorescent probe is a metal nanocluster solution, and the metal nanocluster solution has a fluorescence emission peak and is used for being in contact with acetylene to generate static fluorescence quenching. The invention further discloses a preparation method, the problems that an existing gas chromatography technology for detecting acetylene is long in consumed time, high in operation specialty and high in cost are solved, and the glutathione modified copper nanocluster solution has high sensitivity and linear response, can detect acetylene in a low concentration range (such as 0.26 nL / L-26000 mu L / L) and has a good linear relation. The stability of the GSH-Cu NCs solution is good, the probe solution can be stored for a long time, and the fluorescence lifetime is stable. The glutathione modified copper nanocluster solution has strong anti-interference capability, and the GSH-Cu NCs solution has the advantages of high detection speed, simple and convenient acetylene detection operation, low cost and no need of complex instruments, and is suitable for field use.

The invention provides an optimization method for reproduction of meat flavor of ham-flavored potato chips, and belongs to the technical field of food processing.According to the optimization method, reaction parameter optimization is guided by establishing a Maillard reaction precursor matching database, accurate control is achieved through a sectional temperature control Maillard reaction system, and the quality of ham-flavored potato chips is improved. The method comprises the following steps: monitoring the concentration of key flavor molecules in real time by using a gas chromatography-mass spectrometry technology, carrying out self-adaptive adjustment, and constructing a pre-adjustment flavor release rate matrix, a middle adjustment flavor release rate matrix, a post-adjustment flavor release rate matrix and a concentration distribution matrix to realize quantitative modeling of a flavor release process; sodium alginate-chitosan controlled release microcapsules are prepared by adopting a fluidized bed coating technology to adjust a flavor release time sequence, a double-layer optimization model based on a game theory is established to balance flavor intensity and production cost, and a flavor intensity evaluation model is constructed by combining an electronic nose technology to provide real-time quality feedback. The technical problem that the meat flavor release of ham-flavored potato chips is unstable is solved.

The invention belongs to the technical field of micro-plastic detection, and particularly relates to a method for separating and detecting micro-plastic in a sample. The separation method comprises the following steps: cracking a sample, and then separating by using gas chromatography; the cracking temperature is 500-600 DEG C, and the gas chromatography heating procedure comprises the following steps: keeping the initial temperature of 35-45 DEG C for 1-2 minutes, heating to 310-330 DEG C at 25-35 DEG C / min, and keeping the temperature for 1-15 minutes. According to the separation method, eight micro-plastics (PS, PVC, NY-6, PP, ABS, PC, PU and PMMA) can be separated out at the same time within 10 min, the separation efficiency is high, and subsequent qualitative and / or quantitative analysis of the micro-plastics is facilitated.

The invention discloses a Baijiu blending big data analysis decision system and method, and belongs to the technical field of intelligent food manufacturing and flavor modeling. Physicochemical indexes, gas chromatography-mass spectrometry, sensory evaluation and historical proportioning schemes of multiple batches of raw wine are collected, and a heterogeneous flavor original data set is constructed; performing unified feature extraction and vectorization processing on the data to generate a flavor multi-modal feature matrix; constructing a flavor mapping map based on an attention mechanism, and extracting key flavor contribution features; using the target flavor label to guide a neural generation network to generate a wine base combination candidate set, and outputting a matching suggestion; performing subjective consistency scoring through a flavor simulation model and an expert scoring discrimination model, and screening an optimal matching scheme; the method has the advantages of being high in modeling precision, high in sensory consistency, high in blending efficiency and the like, and is suitable for intelligent matching design and personalized seasoning optimization of complex flavor products.

The invention discloses an exhaust gas detection method and device based on gas chromatography, and relates to the technical field of exhaust gas detection. The difference between a current chromatographic response signal and a reference signal is recorded and compared in real time in each detection process, and a matching degree index is calculated; the method can be used for effectively identifying and compensating the phenomena of'concentration jump 'and'residue trailing' caused by nonlinear adsorption and desorption in a chromatographic system. Through reverse intervention operation, such as increasing the channel temperature and increasing the carrier gas flow velocity, fitting correction is carried out on the signal, the method can eliminate the influence of historical residues, a misleading detection result is avoided, and the accuracy and reliability of detection are remarkably improved. The method effectively solves the problems of false alarm, missing alarm and wrong regulation and control decision caused by a chromatographic memory effect in the prior art, and ensures accurate monitoring of pollutant concentration and more reasonable regulation and control decision.

The invention belongs to the field of chemical detection, and particularly relates to a method for detecting ethylene oxide, 2-chloroethanol and acetaldehyde in a frozen beverage by solid-phase microextraction gas chromatography-mass spectrometry. The invention relates to a method for detecting ethylene oxide, 2-chloroethanol and acetaldehyde in a frozen beverage by solid-phase microextraction gas chromatography-mass spectrometry, which comprises the following steps: S.1) taking a frozen beverage sample to be detected, homogenizing and uniformly mixing; s.2) weighing a certain amount of sample, and adding sodium chloride and hydrochloric acid; s.3) determining the sample by adopting a solid-phase microextraction gas chromatography-mass spectrometry method; and S.4) quantitatively analyzing the contents of ethylene oxide, 2-chloroethanol and acetaldehyde in the frozen drink sample to be detected by adopting an external standard method. According to the method disclosed by the invention, the derivatization reaction and the solid-phase microextraction process are combined into one, and the difficulties of complicated pretreatment, long time consumption, low accuracy, unstable result, high detection limit and the like in the traditional analysis technology are overcome. Meanwhile, the precision of a detection result is high, the influence of a complex matrix is removed, and the reproducibility is good.

The invention relates to a gas chromatography filler and a preparation method thereof. The preparation method comprises the following steps: S1, adding a dispersing agent and a reaction solvent into a reaction container, and stirring until the dispersing agent is dissolved; s2, adding a monomer, a cross-linking agent, an initiator, an emulsifier, a pore-foaming agent and an electrolyte into a system in S1, and reacting at 55-85 DEG C for 20-28 hours to obtain a crude product; s3, washing and drying the crude product; and S4, screening the dried crude product to obtain the gas chromatography filler. The mass ratio of the reaction solvent to the dispersing agent to the cross-linking agent to the initiator to the emulsifier to the pore-foaming agent to the electrolyte to the monomer is (14 to 16) to 1, (0.08 to 0.16) to 1, (2 to 3) to 1, (0.04 to 0.08) to 1, (0.01 to 0.03) to 1, (4 to 8) to 1 and (0.03 to 0.08) to 1. The gas chromatography packing obtained by the preparation method disclosed by the invention has uniform size and good dispersity, is easy to separate through screening, has good repeatability, and can effectively improve the separation effect.

The invention provides a single strain metabolism characteristic chromatogram database of oral key microorganisms in a high-glucose microenvironment and a construction method and application thereof, and belongs to the technical field of oral microbiology. The method comprises the following steps: simulating an intraoral high-glucose microenvironment in vitro; the method comprises the following steps: carrying out standardized single-strain culture on oral key microorganisms, carrying out whole-spectrum metabolism detection (non-targeted liquid chromatography-mass spectrometry (LC-MS) and non-targeted gas chromatography-mass spectrometry (GC-MS) on culture supernatant, and identifying and analyzing metabolism to construct a single-strain metabolism characteristic spectrum database of the oral key microorganisms in a high-glucose microenvironment. The database can be used for source attribution and cross validation of in-vivo metabolome results, and assists in screening key metabolites and key pathways related to high glucose. According to the method, the reliability of metabolite source judgment is improved, the directional influence of high glucose on the flora metabolism function is revealed, the method is standardized, and resources are platformized.

The utility model belongs to the technical field of gas chromatography detection, and discloses a portable gas chromatography analysis device with a pipeline storage function, which comprises a sample gas detection assembly and a chromatographic column communicated with the sample gas detection assembly through a gas pipe, and further comprises a winding assembly, the winding assembly comprises a winding disc, the winding disc comprises a first winding disc and a second winding disc, and the winding disc is connected with the sample gas detection assembly through a gas pipe. The first winding disc and the second winding disc are coaxially and fixedly connected through a fixing shaft. The supporting disc is rotationally connected with the first winding disc, and a plurality of through grooves are formed in the supporting disc in the circumferential direction of the circle center of the supporting disc; the number of the supporting plates is multiple, and the supporting plates are arranged in the through grooves in a sliding mode; the driving unit is used for driving the supporting plate to slide in the through groove; according to the scheme, the distance between each supporting plate and the circle center of the supporting disc is adjusted through the driving unit, and a diameter-variable winding space is formed; the portable gas chromatographic analysis device solves the problem that an existing gas chromatographic analysis device is poor in portability.

The invention belongs to the technical field of pharmaceutical analysis, and discloses a method for determining two potential genotoxic impurities in carbon [13C]-urea by gas chromatography. Comprising the following steps: (1) preparing a sample solution; (2) preparing a reference solution; (3) taking nitrogen as carrier gas, and detecting by adopting a medium-polarity or weak-polarity chromatographic column separation system; and (4) calculating by a peak area through an external standard method to obtain the accurate contents of methyl carbamate and ethyl carbamate in the carbon [13C]-urea. The method disclosed by the invention is simple to operate, good in specificity, linearity, precision and accuracy and high in sensitivity, and can realize accurate detection of residual potential genotoxic impurities, namely methyl carbamate and ethyl carbamate, in the carbon [13C]-urea.

The invention relates to a method for identifying regenerated plastics, which comprises the following steps of: taking a standard substance containing a known component and an object to be detected to a pyrolysis gas chromatography-mass spectrometer (Py-GC-MS) for detecting the regenerated plastics, and firstly establishing a regenerated plastic recovery ratio regression equation corresponding to the standard substance; substituting a signal intensity value of a total ion chromatogram of a to-be-detected object corresponding to the to-be-detected object containing the known component, and judging the content of regenerated plastic of the component of the to-be-detected object through linear regression operation; moreover, according to the qualitative method provided by the invention, when the total ion chromatogram of the to-be-detected object is obtained, whether the to-be-detected object contains the reprocessed plastic corresponding to an index compound can be judged by means of the peak of the total ion chromatogram of the to-be-detected object in the index compound of the molecular weight residence time of the to-be-detected object.

The invention discloses a method for analyzing methylsiloxane based on GC-APCI-MS / MS, and relates to the technical field of analysis and detection. According to the method, a gas chromatography-mass spectrometry technology is adopted, an atmospheric pressure chemical ionization source is taken as an ion source, ultrapure water is introduced as an ionization auxiliary agent, and gas chromatography conditions (including sample inlet parameters, chromatographic column configuration and a heating program) and mass spectrometry conditions (adopting a multi-reaction monitoring mode) are optimized, so that the analysis of the annular and linear methylsiloxane is realized. The method has the advantages of low background pollution, high sensitivity and precision, and is suitable for qualitative and quantitative analysis of methylsiloxane in various environmental media.

This invention belongs to the field of cable testing technology, specifically a method and system for testing cable cross-linking byproducts. The method includes: taking a structurally intact original sample of the cable and weighing its insulation layer; sealing the sample in an inert gas bladder to establish an inert environment; heating the sample at a constant temperature for an extended period to allow methane within the insulation layer to fully diffuse into the gas bladder; measuring the total volume of the gas bladder after heating and performing gas chromatography analysis to obtain the methane peak intensity; calculating the total methane mass in the gas bladder based on this intensity and a standard curve, and then calculating the cumulative methane release per unit mass of insulation material; finally, evaluating the cable degassing effect by comparing this release amount with a preset threshold. This invention, by simulating real diffusion kinetics, can effectively evaluate the thoroughness of deep degassing, providing a reliable means for process optimization and high-quality control.

The invention discloses a quantitative detection method for a mixture of bis (2-hydroxyethyl) disulfide and mercaptoethanol, and relates to the field of analysis and detection. The testing method comprises the following steps: respectively preparing a bis (2-ethoxyl) disulfide standard solution and a mercaptoethanol standard solution with different concentrations; and quantitatively measuring the standard solution and the detection sample through gas chromatography equipment, optimizing chromatographic conditions, drawing a standard curve according to the detection result of the standard solution, and quantitatively analyzing the detection sample by combining the standard curve and the spectrum of the standard solution. According to the present invention, the gas chromatography conditions are optimized, the phenyl functional group-containing polysiloxane is selected as the filler of the chromatographic column, and the detection temperature and the temperature rising program are controlled so as to ensure the separation and the detector sensitivity, and the split ratio is controlled to avoid the non-linear response and the peak overlapping; the detection accuracy of the bi-component bis (2-ethoxyl) disulfide and mercaptoethanol is high, the chromatographic peak separation degree is good, and the product quality detection requirement can be met.

The application discloses a pet food palatability evaluation method based on gas chromatography-ion mobility spectrometry (GC-IMS) and a prediction model construction method, and belongs to the technical field of pet food quality analysis. The application aims at the problems of the existing palatability evaluation, such as strong subjectivity, long cycle and lack of standardized model, and adopts headspace-GC-IMS technology to rapidly detect volatile organic compounds (VOCs) in pet food, so as to obtain a VOCs fingerprint spectrum of the sample. In combination with standard samples with known palatability test results, key palatability markers are screened through orthogonal partial least squares discriminant analysis (OPLS-DA), and a palatability prediction model is established. The application first applies the GC-IMS technology to pet food palatability evaluation, realizes objectification, rapidness and standardization of detection, overcomes the subjectivity and low efficiency of traditional methods, and can provide reliable scientific basis for formula optimization, quality control and raw material screening of pet food.

The invention relates to the technical field of substance detection. According to the intelligent detection method and system, based on coordinate information of detection points of the sea-buckthorn vinegar flavor substances in a fermentation tank, chromatographic-mass spectrometry combination diagram information of the detection points of the sea-buckthorn vinegar flavor substances in the fermentation tank is dynamically collected by matching with sampling equipment, a gas chromatography system and a mass spectrometry system; self-adaptive real-time acquisition of chromatography-mass spectrometry combined diagrams of the flavor substances of the sea-buckthorn vinegar at different spatial positions in the fermentation tank of the sea-buckthorn vinegar is realized; according to the chromatography-mass spectrometry combination diagram information of the fermentation tank sea-buckthorn vinegar flavor substance detection point, an intelligent image recognition algorithm and different substance characteristic standard sea-buckthorn vinegar flavor substance chromatography-mass spectrometry combination information stored based on big data are combined to carry out fermentation tank sea-buckthorn vinegar flavor substance detection point flavor substance type and concentration intelligent detection. The flavor substances of the sea-buckthorn vinegar are intelligently, comprehensively and scientifically detected on the basis of chromatography-mass spectrometry.

The invention discloses a headspace gas chromatography method for detecting ethanol residual quantity in gastrodin. The headspace gas chromatography method comprises the following steps: (1) preparing a test solution; preparing a reference solution; (3) performing chromatographic determination; and (4) calculating a result. According to the headspace gas chromatography method for detecting the residual amount of ethanol in gastrodin, the headspace equilibrium temperature and time are optimized, a chromatographic column with specific polarity and programmed heating conditions are adopted, the ethanol residue detection method special for a gastrodin matrix is established, matrix interference is effectively overcome, and the detection accuracy is high. The method has high sensitivity and high accuracy, realizes exclusive, accurate and reliable quantitative control of ethanol residues in gastrodin, and has strong practicability.

This invention discloses a method for preparing ethylhexylglycerol and its application, comprising the following steps: adding isooctanol and a base to a solvent, stirring and cooling to 0-5 degrees Celsius, then adding a dichloromethane solution of p-toluenesulfonyl chloride dropwise. After the addition is complete, the mixture is brought to room temperature and stirred for a period of time. A sample is taken for gas chromatography analysis until the isooctanol is completely consumed. Water is added to separate the layers, and the dichloromethane layer is collected. The dichloromethane layer is washed twice with water and dried to obtain a dichloromethane solution of isooctyl p-toluenesulfonate, which is then dried and reserved. Glycerol and boric acid are added to a reaction flask for dehydration reaction, and after the reaction is complete, a diglyceride borate intermediate is obtained. The prepared diglyceride borate intermediate is added dropwise to a dichloromethane solution of isooctyl p-toluenesulfonate to obtain isooctyl borate diglyceride ether. Then, the solvent is removed, and the mixture is hydrolyzed with water to obtain the target compound, ethylhexylglycerol. This invention, through the application of the diglyceride borate structure, reduces the generation of by-products, and the overall yield is higher compared with current traditional processes.

The invention relates to a method for detecting primary metabolites and / or secondary metabolites in flavors and fragrances, which comprises the following steps: (1) mixing flavors and fragrances, an internal standard substance and a solvent, extracting, taking clear liquid, and removing the solvent to obtain a dry product; (2) mixing the dry product, an oximation reagent and a solvent for an oximation reaction, and then mixing a reaction system and a silanization reagent for a silanization reaction to obtain a solution to be detected; the silanization reagent comprises a combination of N-methyl-N-(trimethylsilyl) trifluoroacetamide and N, O-bis (trimethylsilyl) trifluoroacetamide, and the silanization reagent comprises N-methyl-N-(trimethylsilyl) trifluoroacetamide and N, O-bis (trimethylsilyl) trifluoroacetamide; and (3) detecting the solution to be detected by adopting a gas chromatography-mass spectrometry method, and obtaining the content of primary metabolites and / or secondary metabolites in the flavors and fragrances by utilizing an internal standard method. According to the method provided by the invention, the flavors and fragrances are subjected to oximation and silanization treatment, and then the flavors and fragrances are detected by using the gas chromatography-mass spectrometry, so that the metabolites contained in the flavors and fragrances can be precisely and accurately detected.

A method for enhanced mud gas logging includes receiving a gas stream; separating the gas stream into a first gas stream, a second gas stream, and a third gas stream; directing the first gas stream to a gas chromatography configuration including a gas chromatography column and a photoionization detector; detecting, by the photoionization detector, gas species in the first gas stream; separating, by a first separation component, water vapor from the second gas stream to produce a processed second gas stream; detecting, by a first mass spectrometer, gas species in the processed second gas stream; separating, by a second separation component, water vapor and other gas species from the third gas stream to produce a processed third gas stream; and detecting, by a second mass spectrometer, gas species in the processed third gas stream.

The invention discloses a method for analyzing aroma components of cooking wine based on molecular docking and an odor activity value and application. According to the method, cooking wine aroma is taken as a research object, volatile substances are detected by gas chromatography-mass spectrometry (GC-MS) and headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS), and by combining with odor activity value (OAV) analysis, the combining capacity of aroma molecules and olfactory receptors is simulated through molecular docking, characteristic aroma compounds are screened, and the aroma of the cooking wine is detected. And finally, constructing a recombinant aroma model according to the characteristic aroma compounds, carrying out sensory evaluation, and evaluating the aroma similarity of the recombinant aroma model and the natural cooking wine sample to determine the characteristic aroma components of the cooking wine. The method can be used for analyzing aroma substances of cooking wine and performing standardized flavor management.

The invention belongs to the field of analysis and detection, and discloses a method for quantitatively detecting a fluorinated electrolyte additive of a lithium battery in soil based on gas chromatography-tandem mass spectrometry. After the environmental sample is subjected to extraction and concentration pretreatment, the eight lithium battery fluorinated electrolyte additives in the soil are subjected to quantitative analysis by adopting gas chromatography-tandem mass spectrometry (GC-MS / MS), the method is low in detection limit, simple and convenient to operate and high in recovery rate, sample matrix interference can be effectively reduced, and the detection accuracy is improved. The method is used for filling the blank of the method for detecting the lithium battery fluorinated electrolyte additive in the soil at home and abroad at present, and provides a method reference for detecting the lithium battery fluorinated electrolyte additive in the soil.