61 results about "Ms analysis" patented technology

The invention belongs to the technical field of drug detection, and particularly relates to a method for detecting lycium barbarum glycopeptide metabolites in rat plasma and tissues based on non-targeted metabonomics. According to the method, after rat lycium barbarum glycopeptides are administered through intragastric administration, blood, liver, intestine, lung and brain tissue samples after administration are collected. A UPLC-Q-TOF-MS (Ultra Performance Liquid Chromatography-Quadrupole Time of Flight Mass Spectrometry) analysis method is combined with a statistical analysis method comprising principal component analysis (PCA) and orthogonal-partial least squares discriminant analysis (OPLS-DA) to carry out in-vivo metabonomics analysis on the wolfberry glycopeptide. Then, based on a human metabolome database (HMDB), lycium barbarum glycopeptide differential metabolite is searched, so that the pharmacological action mechanism of the lycium barbarum glycopeptide is clarified from the perspective of metabolism, and a foundation is laid for deep research and development of the medicinal value of the lycium barbarum glycopeptide in future.

This application provides a method for simultaneously detecting hydroxy acids and keto acids in a sample. The method includes the following steps: preparing a standard solution; performing ketone and carboxyl derivatization on the sample to be tested containing hydroxy acids and keto acids to obtain the sample to be tested; performing ketone and carboxyl derivatization on the standard solution to obtain a derivatized standard solution; and sequentially adding a ketone derivatization reagent and... 13 The method involves derivatization with a C6-labeled carboxyl derivatization reagent to obtain an isotope internal standard solution. This solution is then added to both the sample to be tested and the derivatized standard solution for LC-MS / MS analysis. The method described in this application achieves unified detection of paired hydroxy acids and keto acids by selectively derivatizing the ketone group followed by the carboxyl group. A sequential derivatization strategy is constructed based on the functional group differences between keto and hydroxy acids, significantly improving the stability, repeatability, and quantitative reliability of keto acid detection while enhancing overall detection sensitivity.

The present invention belongs to the technical field of sensorineural hearing. Provided is the use of SPTBN1 as a target in the treatment of GJB2-related sensorineural hearing loss. The use comprises: the construction of a stably transfected cell line, wherein: HEK293T cells are cultured using a DMEM culture medium supplemented with 10% fetal bovine serum and 1% penicillin-streptomycin in a humidified incubator at 37ºC with 95% air and 5% CO2, and when the cells reach 80%-90% confluence, cell passage is performed; IP-MS analysis, wherein: protein complexes are purified using Protein A / G immunoprecipitation magnetic beads, a portion of the extracted proteins is used as input, and then 2 μg of anti-Cx26 antibody is added to the remaining protein extract, same are gently pipetted and mixed, and incubated on a rotating shaker at 4℃ overnight; immunofluorescence observation of the co-localization of Cx26 and SPTBN1, wherein: a stably transfected cell line expressing WT-Cx26 and Mut-Cx26 is constructed; and co-immunoprecipitation (Co-IP) validation, wherein: a stably transfected cell line expressing WT-Cx26 is constructed. The present invention overcomes the limitations of therapeutic methods, such as the relatively low targeting specificity and short therapeutic time windows associated with full-length protein supplementation via gene therapy, thereby providing new insight into GJB2-related hearing loss, and a new target and a new treatment for same.

The invention provides a magnetic beads-based method for automated, accurate and efficient purification and preparation of biological samples for analysis LC-MS analysis.

The invention relates to a sample pretreatment method for chromite microelement analysis. The method comprises the following steps: firstly, treating a sample to specific particle size distribution (Dv (50) lt, 5 [mu] m, Dv (90) lt, 20 [mu] m) through physical accurate grinding, and then adopting an improved two-step acid dissolution and digestion process: firstly, destroying main crystal lattices of minerals by using mixed acid, then, carrying out targeted dissolution on a residual insoluble phase by using aqua regia, and finally, carrying out chlorine removal treatment to obtain a solution to be detected. Through the synergistic effect of physical accurate grinding and secondary acid dissolution, almost complete decomposition of chromite is achieved, especially the extraction efficiency of key indissolvable elements such as Sc and Zn is improved by 20% or above, the accuracy and precision of ICP-MS analysis results are remarkably improved, and the problem that microelement measured value systematicness is low due to incomplete dissolution in a traditional method is solved.

This invention provides a method for simultaneously detecting 17 heat-processing hazards in 4 categories, comprising: adding n-hexane to the sample, mixing thoroughly, discarding the n-hexane phase, extracting acrylamide, 5-hydroxymethylfurfural, and free heterocyclic amines using dimethyl ketone and ultrasound-assisted extraction, collecting the supernatant, and purifying it; simultaneously transferring the precipitate to another tube, reducing it with sodium tetrahydroborate, hydrolyzing it with hydrochloric acid to release bound heterocyclic amines and late-stage glycosylation products, and performing UPLC-MS / MS analysis. This invention is the first to propose a two-step extraction method for simultaneously determining 17 heat-processing hazards in 4 categories within 7 minutes using UPLC-MS / MS. The accuracy, precision, detection limit, quantitation limit, and recovery rate of the method were verified, and all test indicators met the requirements. This method is applicable to the determination of heat-processing hazards in four types of food matrices: high starch, high protein, high fat, and high sugar.

The application belongs to the technical field of medicine and chemical analysis, and particularly relates to a method for screening alpha-glucosidase inhibitors from pericarpium citri reticulatae and application. The method for screening alpha-glucosidase inhibitors from pericarpium citri reticulatae extract in the application uses alpha-glucosidase as a target, uses affinity ultrafiltration screening technology combined with liquid chromatography-mass spectrometry technology to perform affinity ultrafiltration screening of alpha-glucosidase inhibitors, adds alpha-glucosidase to pericarpium citri reticulatae extract for incubation, then dissociates the obtained receptor-ligand complex, collects a dissociation solution for LC-MS analysis, and through data statistical analysis of compounds contained in the analysis sample and the blank sample, active ingredients capable of specifically binding to the alpha-glucosidase are obtained.

Methods and compositions for detecting isoaspartate residues in polypeptides using mass spectrometry, and for distinguishing isoaspartate residues from aspartate and / or asparagine residues in a polypeptide using MS analysis. Polypeptides containing one or more isoaspartate residues, or suspected of containing one or more isoaspartate residues, are treated with L-isoaspartyl methyltransferase (PIMT), which is able to selectively modify isoaspartate and impart a mass change to the amino acid residue. The polypeptide is then analysed using mass spectrometry, where a mass change caused by the PIMT reaction is detected and characterized. Preferably, these methods are able to be performed without the use of liquid chromatography or other similar separation techniques prior to mass spectrometry analysis.

The invention relates to the technical field of liquid chromatography / mass spectrometry analysis, and discloses a method for improving LC / MS analysis sensitivity, which is suitable for detecting trace lipid metabolites (containing isomeride) of a biological sample. The core technical scheme is as follows: a magnetic molecularly imprinted polymer-solid phase support liquid-liquid extraction secondary purification system is adopted to remove matrix impurities, a gradient mobile phase containing a composite additive is matched to optimize separation, and the detection specificity is improved by an ion mobility spectrometry-segmented selective ion monitoring combined mode; and a stable isotope internal standard is synchronously introduced to correct quantitative deviation. Experiments show that the LOD of the method is as low as 0.12-0.25 ng / mL, the matrix effect is smaller than or equal to 5%, the separation degree and the recovery rate are excellent, low-abundance metabolic marker differences can be accurately captured, and a support is provided for disease diagnosis and metabonomics research.

The invention discloses a deep-sea sediment rare earth resource rapid prediction and delineation method and related equipment, and the method comprises the steps: obtaining element data corresponding to a sediment sample of a research sea area, and carrying out the data fitting of the element data, and obtaining a regression model; based on the actually measured major element data of each point location of the research sea area, the rare earth content of the corresponding point location of the research sea area is measured and calculated by using a regression model; delineating an enrichment area in the research sea area by combining a preset rare earth content threshold value on the basis of the rare earth content measurement and calculation data; and obtaining the rare earth resource quantity of the research sea area based on regional spatial distribution conversion of the enrichment region. The time, manpower and capital cost required by traditional ICP-MS analysis is remarkably reduced, rapid prediction of a large amount of existing major element data but lack of rare earth elements in ocean drilling and the like can be achieved, rapid rare earth resource evaluation of large-scale sea areas is achieved, the efficiency and feasibility of deep sea rare earth resource exploration are improved, and the method is suitable for popularization and application. The method can be widely applied to the technical field of resource calculation.

The invention belongs to the technical field of environmental science, and particularly relates to an intelligent control method and system for multistage separation of VOCs (volatile organic compounds) in asphalt for GC-MS (gas chromatography-mass spectrometry) analysis. The temperature, the shearing rate and the carrier gas flow parameters of the VOCs release environment are collected through an integrated sensor, a generation unit is intelligently regulated and controlled based on a preset construction working condition model, and a target scene is simulated; after the mixed gas flow is received, a gas flow path and operation parameters of each separation module are dynamically adjusted in a data driving mode, and serialized efficient separation and collection of organic solid particles, organic liquid particles and gaseous VOCs are achieved; in the whole process, outlet data of all the modules are continuously monitored, and fine adjustment control parameters are evaluated and fed back in real time through a built-in optimization algorithm to maintain the optimal separation state; finally, the collected samples of all phases and the whole process data are processed and associated with GC-MS analysis results, and an evaluation report is output. The system correspondingly comprises an intelligent control unit for implementing the steps. According to the scheme, automation, precision and reliability of asphalt VOCs separation analysis are remarkably improved.

The invention provides a novel system and improved method for liquid sample preparation and handling. More particularly, the invention relates to a fully automated system and method for sample preparation and handling of biological samples for analysis (e.g., LC / MS / MS analysis).

The invention discloses a method for detecting emission of unknown volatile organic compounds in a respiratory gas passage in medical care application. In the invention, a method for systematically testing unknown volatile organic compounds (VVOC (very volatile organic compounds), VOC (volatile organic compounds) and SVOC (semi-volatile organic compounds)) by adopting a thermal desorption-gas chromatography-mass spectrometer (TD-GC-MS) is established. The method comprises the following steps: collecting 20L of gas by adopting a TENAX adsorption tube at a flow rate of 500mL / min, carrying out TD-GC-MS (Time Division-Gas Chromatography-Mass Spectrometer) analysis, carrying out qualitative analysis on unknown volatile organic compounds in combination with an NIST database and an artificial spectrum unfolding mode, and then carrying out quantification or semi-quantification on the volatile substances by adopting an external standard curve method. The method is suitable for qualitatively and quantitatively analyzing VOS released by a breathing gas channel according to the ISO 18562-3: 2024 standard, and the clinical use safety of medical instruments containing the breathing gas channel such as a breathing machine pipeline, an anesthesia loop and an oxygen mask connecting pipe is guaranteed.

The invention belongs to the field of biomedical technology analysis, and particularly relates to a high-sensitivity oligonucleotide pharmacokinetic analysis method. The high-sensitivity oligonucleotide pharmacokinetic analysis method comprises the following steps: (1) establishing an LC-MS / MS analysis method for quantifying target oligonucleotide in a biological sample; (2) performing full verification on the LC-MS / MS analysis method established in the step (1) according to a biological analysis guidance principle; (3) detecting a biological sample by using the LC-MS / MS analysis method verified in the step (2) to obtain concentration data; and (4) performing pharmacokinetic parameter calculation based on a detection result in the step (3). Optionally, the oligonucleotide to be detected can be subjected to GalNAc conjugate coupling modification. The LC-MS / MS method may also be replaced by an RT-qPCR, LC-FL, or LC-HRMS method as a paratactic regimen. The invention provides a reliable and compliant analysis means for accurate pharmacokinetic evaluation of oligonucleotide drugs.

The application discloses a Hypsizygus marmoreus extract and a preparation method and application thereof. The extract is prepared from the Hypsizygus marmoreus through a method combining water extraction, alcohol precipitation, macroporous adsorption resin and silica gel column chromatography, UPLC-ESI-MS / MS analysis identifies 830 compounds, and 26 main compound components with a relative content of more than 0.2%; network pharmacology analysis obtains 40 active compounds and 23 T2MD related core target points. The extract can significantly reduce fasting blood glucose and postprandial blood glucose, can significantly reduce serum total cholesterol, triglyceride and low-density lipoprotein cholesterol levels, can improve fatty liver level, can significantly reduce serum inflammatory factors IL-6, TNF-alpha and CRP levels, can significantly increase GLP-1 and serum insulin levels, and can improve intestinal flora alpha diversity, improve beta diversity structure and restore the abundance of beneficial bacteria. The Hypsizygus marmoreus extract has multi-target and multi-metabolic regulation functions, can be used for developing a blood glucose and blood lipid reducing medicine or health food, and has high safety and definite effect.

The invention discloses a detection method for simultaneously determining multiple respiratory pathogens. According to the present invention, with the help of the recognized excellent signal amplification tool-CRISPR / Cas12a system and the DNA nanometer machine, the metal element labeling and the ICP-MS detection technology are assisted, such that the simultaneous detection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the influenza A virus (H1N1) and the mycoplasma pneumoniae (MP) in the respiratory pathogens is completed so as to easily maintain the respiratory system safety of the whole human. When a compound formed by Cas12a / crRNA is specifically combined with a corresponding target DNA, the trans-shear activity of a CRISPR / Cas12a system can be activated, so that corresponding DNAzyme can be sheared, a DNA nano machine cannot run, lanthanide series metal elements on the DNA nano machine cannot be released, ICP-MS outputs a low signal, and quantitative analysis of multiple DNAs can be realized. The method for detecting the respiratory pathogens can realize simultaneous detection of multiple components, reduces the detection cost and the sample consumption, and has the advantages of high sensitivity and good specificity.

The application provides a compound for qualitative or quantitative detection of amine metabolites, and a preparation method and use thereof, and belongs to the technical field of biological detection. The compound is shown as formula I. The compound provided by the application can be used as a photochemical derivatization reagent, and the derivatization reagent has good universality, can realize rapid derivatization of various amine metabolites under mild, green and environmentally-friendly conditions. After the amine metabolites are derivatized, the LC-MS analysis method can be used for qualitative and quantitative detection of the amine metabolites, the detection has good specificity, high sensitivity and accuracy, and high repeatability; in addition, mass spectrometry imaging can be used for visual imaging of the amine metabolites. The application provides a new method for detection of amine metabolites, and has good clinical application prospect.

This invention discloses a method for screening key lipids during buckwheat storage based on lipidomics and machine learning, belonging to the field of food quality detection and metabolic biomarker screening technology. The method includes: collecting buckwheat samples under different storage conditions; obtaining volatile compound data through GC-MS analysis; acquiring lipidomics data of the buckwheat samples using lipidomics analysis; measuring quality-related indicators of the buckwheat samples; preprocessing the volatile compound data and lipidomics data; constructing a LASSO regression model to extract lipid molecules with non-zero coefficients as the first candidate set of key lipids; constructing a random forest regression model to calculate the importance score of each lipid molecule; and evaluating the predictive performance of key lipid molecules on the changing trends of marker volatile compounds. This invention is the first to combine LASSO regression and random forest regression for screening key lipids during buckwheat storage, overcoming the limitations of single methods, resulting in more scientific and reliable screening results, and providing a new method for revealing the molecular mechanism of buckwheat storage quality formation.

A mode of a chromatograph mass spectrometer configured to collect chromatograph mass spectrometry data by repeatedly performing MS analysis and MS / MS analysis or only MS / MS analysis according to a predetermined condition in the mass spectrometer unit on a sample containing a compound separated by a chromatograph unit; a scatter diagram creation section (45) configured to create, based on the data collected by the measurement unit, a scatter diagram in which a retention time and a mass-to-charge ratio of precursor ions are set to axes orthogonal to each other and positions or ranges of the precursor ions from which MS / MS spectra are acquired are plotted; a spectrum creation unit (46) configured to create MS / MS spectra corresponding to the precursor ions indicated on the scatter diagram; and a display processing unit (48) configured to display the scatter diagram and the MS / MS spectra together on a screen of a display unit.

An evaluation method for the spicy–aromatic flavor of cigarette smoke, and applications thereof. The evaluation method comprises the following steps: (1) collecting total particulate matters of mainstream cigarette smoke from representative spicy-aromatic and non-spicy-aromatic cigarettes, performing GC–MS analysis to obtain the contents of aroma-contributing components in the total particulate matters, and performing partial least squares discriminant analysis on the contents of the aroma-contributing components, so as to obtain VIP values of the aroma-contributing components; (2) collecting the total particulate matter of mainstream cigarette smoke from a cigarette under test, and performing GC–MS analysis to obtain the contents of aroma-contributing components in the cigarette under test; and (3) on the basis of the VIP values and the contents of the aroma-contributing components in the cigarette under test, calculating a spicy–aromatic flavor index Q. The evaluation method can objectively and accurately reflect the spicy–aromatic flavor of cigarette smoke, and avoids subjective errors caused by sensory evaluation, and the situation where an analysis result of aroma-contributing components in tobacco fillers is inconsistent with actual smoking experience, thereby providing a new method for characterization and evaluation of spicy–aromatic flavor of cigarette smoke.

The invention discloses a kit for evaluating the effective use dosage of tripterygium glycosides for treating diabetic nephropathy, and belongs to the technical field of medicine, the kit comprises labeled demethylzeylasteral, an SPE 96 pore plate for serum sample treatment, and a reversed-phase chromatographic column for UPLC-MS (Ultra Performance Liquid Chromatography-Mass Spectrometry) analysis. According to the application, demethylzeylasteral is taken as a pharmacodynamic marker of tripterygium glycosides for treating diabetic nephropathy, so that the problem that the dosage of tripterygium glycosides is not matched with the curative effect and the safety in the treatment of diabetic nephropathy is solved, the treatment scheme can fit the individual condition of a patient, and accurate medication is realized; the effective dose of tripterygium glycosides for treating diabetic nephropathy can be judged, and poor curative effect caused by improper dose can be avoided; severe side effects possibly caused by the medicine are avoided, and the medication risk is reduced especially for patients who use the medicine for a long time.

This invention discloses a method for transient expression of sandalwood callus and its application. Using sandalwood embryogenic callus as the transformation recipient, an Agrobacterium-mediated transformation is used to transiently introduce a GFP-tagged target gene into the embryogenic callus. Positive materials are screened using fluorescence microscopy, which can rapidly detect the transient expression of the target gene in the callus. Further, samples are collected and GC-MS analysis of gene expression or metabolites is performed to identify the function of the gene / enzyme.

The present invention provides a system and a method for performing evolved gas analysis and gas chromatography on a single sample within a single experiment. The system and the method enable the simultaneous acquisition of thermal and compositional data by splitting evolved gases from a micro-furnace into two analytical pathways. A first pathway is directed to an evolved gas analysis (EGA) tube, and a second pathway is directed to a gas chromatography (GC) column following temporary cryogenic trapping. After completion of the EGA stage, the trapped gases are released and transferred into the GC column via an internal cryo-trap, and a GC-MS analysis is performed on the same sample. Upstream and downstream splitter connections and multiple transfer lines route gases efficiently without requiring additional sample preparation.

This invention relates to the field of food analysis and testing technology, specifically disclosing a method for predicting the papaya seed powder content in black pepper powder based on ICP-MS analysis of characteristic trace elements. The method includes: Step 1, detecting the relative content of characteristic trace elements in the sample to be predicted, including Zn, Tl, and Mo; Step 2, inputting the data into a prediction model and outputting the adulteration content of the sample, Y = 0.005S1 + 0.252S2 - 0.059S3 - 0.031, where S1 represents Zn, S2 represents Tl, and S3 represents Mo. This invention provides a faster, simpler, and more accurate new method for predicting the adulteration content of papaya seed powder in black pepper powder.

The invention belongs to the field of in-vivo quantitative drug concentration analysis, and particularly discloses an LC-MS / MS (liquid chromatography-mass spectrometry / mass spectrometry) analysis method for simultaneously quantifying the concentrations of budesonide, formoterol and glycopyrronium in plasma. According to the method, the contents of budesonide, formoterol and glycopyrronium in the blood sample can be accurately and quantitatively detected at the same time through specific sample treatment and chromatography-mass spectrometry conditions, the sensitivity is high, the detection limit is low, a novel method capable of being practically popularized and applied is provided for pharmacokinetic research of the three components, and the method has popularization and application values.

A method for determining tobacco-specific nitrosamines (TSNAs) in cigarette smoke using one-step clean-up coupled with LC-MS / MS is provided, including the following steps: collecting a particulate matter of mainstream cigarette smoke with a Cambridge filter pad, mixing the particulate matter of mainstream cigarette smoke, an internal standards solution and water in a 50 mL plastic centrifuge tube, and vortexing the resulting mixture at room temperature to allow extraction; transferring an extraction solution after filtration to a new centrifuge tube, adding dichloromethane, and vortexing the resulting mixture; centrifuging to collect a dichloromethane extraction solution in a lower layer to another centrifuge tube, and placing the centrifuge tube in a water bath to remove dichloromethane; dissolving the resulting extraction solution in water, and transferring the resulting solution to an autosampler vial for LC-MS / MS analysis. The method has better separation and sensitivity, simple operations, and wide adaptability.

The invention belongs to the field of in-vivo quantitative drug concentration analysis, and particularly discloses an LC-MS / MS analysis method for determining the concentrations of fluticasone furoate, vilanterol and imequat in plasma. According to the method disclosed by the invention, the contents of fluticasone furoate, vilanterol and umepiride in the blood sample can be accurately and quantitatively detected at one time through specific sample treatment and chromatography-mass spectrometry conditions, the sensitivity is high, the detection limit is low, a novel method capable of being practically popularized and applied is provided for pharmacokinetic research of the three components, and the method has popularization and application values.

The application discloses a method for quantitatively detecting a plurality of active components in mulberry leaves, and particularly relates to the technical field of active component detection, and comprises the following steps: (1) subjecting the mulberry leaves to reflux extraction and concentration to obtain a gummy mulberry leaf extract; (2) subjecting the gummy mulberry leaf extract obtained in step (1) to step-by-step extraction, and sequentially obtaining purified alkaloid extract, purified organic acid extract and purified flavone extract after purification treatment of the extracts, respectively; and (3) quantitatively detecting the active components in the purified extracts obtained in step (2) based on UHPLC-ESI-Q-TOF / MS analysis. The method realizes gradient extraction of alkaloids, organic acids and flavones in the mulberry leaves, rapid detection of the mulberry leaf components, and improves the sensitivity and accuracy of the determination of the active components.

The invention discloses an LCMS / MS (Liquid Chromatography Mass Spectrometry / Mass Spectrometry) analysis and detection method for collinear residual impurities of mycophenolate mofetil capsules, and the LCMS / MS is adopted to analyze and detect a test sample in the step S1: chromatographic condition parameters are as follows: a chromatographic column with octadecylsilane chemically bonded silica as a filler is selected, the specification of the chromatographic column is 150mm * 4.6 mm, 2.7 mu m, and the column size is 1mm. A mobile phase is composed of an ammonium formate aqueous solution and an organic solvent mixed solution, and gradient elution is set according to the volume fraction; the flow velocity is 0.25 ml / min-0. 35 ml / min, the temperature of a chromatographic column is 38-42 DEG C, the temperature of a sample introduction disc is 5-10 DEG C, the sample introduction volume is 15-25 microliters, and mass spectrum condition parameters are as follows: an ion source is an electrospray ionization source, and the mode is a positive ion mode; and analyzing and detecting by adopting an external standard method. The method can effectively detect collinear residual impurities, and has the advantages of good sensitivity, high accuracy, high precision and good durability.

The application belongs to the field of metal detection of phosphine, and provides a metal detection method of phosphine, which uses an ICP-MS analysis instrument, injects a sample diluted by a proper multiple into an inductively coupled plasma, ionizes metal elements, separates ions according to mass-to-charge ratios by using a mass spectrometer, and uses a corresponding ion detector to perform signal detection and counting to obtain a response value of an element to be detected of an unspiked sample. An internal standard element with a proper concentration is selected and added to the sample. A standard solution of the element to be detected with a proper concentration gradient is selected, added to the sample, and detected to obtain several standard points. An internal standard correction standard curve is drawn with the ratio of the response value of the element to be detected to the response value of the internal standard element as the y-axis and the ratio of the concentration of the element to be detected to the concentration of the internal standard element as the x-axis. The application solves the problem of sample pretreatment of phosphine, and has high accuracy and precision after detection by using an ICP-MS optimized instrument, and can provide reliable analysis results.