416 results about "Mass spectrography" patented technology

Provided herein are methods for analyzing a biological sample that include contacting the biological sample with a non-conductive substrate; and contacting a matrix to a surface of the biological sample. Further methods optionally include performing mass spectrometry analysis; determining presence of a first analyte in the biological sample; and / or analyzing a second analyte on the surface of the biological sample to determine presence of the first and the second analyte in the biological sample.

The invention discloses a method for comprehensively identifying PFAS in an environment by combining targeted analysis, suspicious screening and non-targeted identification. The method comprises the following steps: S1, carrying out liquid chromatography-high resolution mass spectrometry fullscan / DDA / DIA analysis on an environmental sample; s2, carrying out liquid chromatography-high resolution mass spectrometry analysis on the plurality of PFAS standard substances; s3, according to a public chemical database and literature, collecting names and molecular formulas of a plurality of PFASs, calculating an accurate mass number, and jointly establishing a suspicious screening database in combination with an open-source MS2 spectrogram library; s4, establishing a non-targeted identification work flow by combining the mass number characteristics of the PFAS, the characteristic MS2 fragments, the characteristic neutral loss and the homolog characteristics; and S5, integrating the targeted analysis compound, the candidate compound subjected to suspicious screening and the candidate compound subjected to non-targeted identification, and comprehensively identifying the PFAS in the environmental sample. According to the method disclosed by the invention, the known and unknown perfluoroalkyl / polyfluoroalkyl compounds are fully identified through three complementary analysis technologies.

The invention discloses a soil organic pollutant identification method and system based on combination of AI and high-throughput screening, and relates to the technical field of pollutant screening, and the method comprises the following steps: extracting a substance peak from high-resolution mass spectrum data of a soil sample; the method comprises the following steps: establishing an organic pollutant mass spectrum database, extracting spectrogram characteristics and structural characteristics of compounds in the organic pollutant mass spectrum database, establishing a molecular fingerprint prediction model, and establishing a mapping relation from a spectrogram to a structure; constructing a spectrogram vector prediction molecular fingerprint according to the extracted substance peaks, and retrieving by using an organic pollutant mass spectrum database to obtain candidate chemical structures; scoring the candidate chemical structures by predicting the molecular fingerprints, selecting the chemical structures meeting a preset standard, constructing a recognition basis according to the selected chemical structures, and obtaining an organic pollutant recognition result of the soil sample. According to the method, non-targeted intelligent analysis is carried out through cross fusion of artificial intelligence and mass spectrometry, and rapid and accurate identification of soil organic pollutants is realized.

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 belongs to the field of functional proteomics research, and particularly relates to a combined analysis method for analyzing interaction between a small molecule substance and a targeted protein, which is used for analyzing the small molecule substance and the protein by adopting LiP-MS (Limited Protein-Mass Spectrometry) technology and phosphorylated proteome combined analysis. According to the method, the optimized LiP-MS technology is adopted, the target protein can be directly recognized under the complex proteome background without enriching specific protein, and the problem that low-abundance protein is difficult to detect is solved; phosphorylated proteome abundance transformation protein is analyzed by combining high-resolution mass spectrometry, so that the recognition capability on a drug target and a shear variant thereof is enhanced, and the detection sensitivity is improved.

The invention provides a rapid quantitative analysis method for an outer vesicle proteome, and belongs to the technical field of quantitative analysis of the outer vesicle proteome. According to the rapid quantitative analysis method for the outer vesicle proteome, firstly, a high-quality outer vesicle sample is obtained through low-speed centrifugation, ultra-speed centrifugation and membrane filtration; and obtaining proteome data by utilizing two-dimensional electrophoresis and mass spectrometry. Then, a mathematical model equation set is constructed for preliminary analysis, a protein interaction network is optimized through an embedded game optimization index model, and feature extraction and quantitative analysis are conducted through a convolution parameter adaptive function and a residual network deep learning model; finally, a quantitative analysis result containing the protein expression level and the function importance is generated in combination with the multi-dimensional protein expression contribution index, and the technical problem that in the prior art, in the rapid quantitative analysis process of the outer vesicle proteome, the protein component complexity is high, and consequently the quantitative precision is low is solved.

The invention provides a method for simultaneously detecting perfluorinated compounds in mouse tissues and organs, and belongs to the technical field of analysis and detection. The method provided by the invention comprises the following steps: mixing a mouse visceral organ tissue sample, an alkaline buffer solution and an internal standard solution, and homogenizing to obtain homogenate; mixing the homogenate with tetrabutylammonium hydrogen sulfate and methyl tert-butyl ether, and carrying out liquid-liquid extraction to obtain extract liquor; and sequentially drying and redissolving the extract liquor, and carrying out ultra-high performance liquid chromatography-tandem mass spectrometry analysis to obtain a result of the perfluorinated compound in the mouse tissue visceral organs. The result of the embodiment shows that the adding standard recovery rate of 14 target objects in the method provided by the invention is 64.9%-120.3%, the RSD of 6 repeated tests is 1.0%-14.0%, the matrix effect of the target objects is 83.7%-134.0%, and the matrix effect is relatively low; and the detection result has excellent accuracy and reproducibility.

The invention belongs to the field of long-chain alkane online analysis systems, and discloses a long-chain alkane online analysis method and system based on comprehensive two-dimensional gas chromatography and an aerosol thermal desorption analyzer. The method comprises the following steps: during sampling, sucking ambient air through a cyclone separator with a PM2.5 cutting head, then removing gas-phase organic matters through a multi-channel carbon remover, and then intensively collecting particulate matters to a thermal desorption unit (CTD); the analyte after thermal desorption is re-concentrated into a focusing trap (FT) at 45 DEG C; starting separation and analysis of GC * GC-MS (gas chromatography-mass spectrometry); and the separated compound enters a mass spectrometer for mass spectrometry. According to the method, the total time from pollutant collection to analysis is controlled within two hours, and the change characteristics of long-chain alkane in the generation and elimination process of a pollution event can be effectively captured.

The invention discloses a breast lump removing capsule / granule fingerprint construction method and a fingerprint thereof, and belongs to the field of traditional Chinese medicine quality standard research and application. Respectively injecting the test solution and the single reference solution into a high performance liquid chromatograph, carrying out gradient elution, and carrying out chromatographic analysis to obtain various chromatograms; performing mass spectrometry on the test solution to obtain a mass spectrometry result; taking chromatographic peaks existing in the chromatogram of the test solution as common peaks, and identifying chemical components of the chromatographic peaks in the breast lump removing capsule / particle fingerprint spectrum by combining the chromatogram of the single reference substance solution and the mass spectrum result of the test solution, so as to obtain the breast lump removing capsule / particle fingerprint spectrum. The detection method for the breast lump removing capsule / particle fingerprint spectrum has the advantages of being simple, convenient, stable, high in precision and good in reproducibility, the quality of the breast lump removing capsule / particle can be evaluated more comprehensively and scientifically, and the quality and the curative effect of a product are guaranteed.

The invention discloses a method for segmenting different strata series of stratified shale and identifying oiliness, and belongs to the field of oil-gas exploration. The invention discloses a strata division method based on XRF (X-Ray Fluorescence) mineral scanning and single polarization-fluorescence-laser confocal optical lens combined observation, which realizes accurate identification and segmentation of micron-sized strata boundaries of a layered rock core sample from different scales, and performs group component extraction on segmented independent strata. And carrying out chromatography-mass spectrometry analysis and FT-ICR MS analysis on the extracted saturated, aromatic, non-aromatic, leached and other family components. The TSF spectrum, light and heavy components, biomarker compounds, non-hydrocarbon compounds and other data obtained through the experiments are comprehensively analyzed, layering scale oiliness difference quantification and oil source comparison are achieved, and the shale oil micro-migration phenomenon is determined. The influence of the heterogeneity of the layered rock core sample on a result obtained by a traditional analysis method is overcome. According to the technology, direct evidences are provided for accurate prediction of shale oil desserts, exploration risks are reduced, and economic benefits are improved.

The invention relates to a screening method and an activity evaluation method of a natural antioxidant, and the screening method is characterized in that a cerium dioxide-based nano composite material with a specific structure is used as oxidase, a nano oxidase + natural antioxidant reaction system is constructed, and the activity of the natural antioxidant is evaluated through a high performance liquid chromatography-ultraviolet detector-tandem mass spectrometry analysis technology. Screening of the natural antioxidant is realized; according to the activity evaluation method, a cerium dioxide-based nano composite material with a specific structure is used as oxidase, a nano oxidase + natural antioxidant + TMB reaction system is constructed, and the activity evaluation of the natural antioxidant is realized through an oxidized TMB photo-thermal detection technology. According to the method disclosed by the invention, the used reaction system is high in applicability, high in accuracy and good in selectivity.

The invention relates to the technical field of nutritious food configuration, and discloses a system and a method for configuring personalized nutritious food, and the method for configuring personalized nutritious food comprises the following steps: collecting spectral characteristic data and chemical component data of a food material sample by adopting a hyperspectral imaging and mass spectrum combined technology, and obtaining holographic chemical fingerprint information; processing the collected spectral data by using a multi-scale feature extraction algorithm, extracting multi-level feature information of the food materials, and carrying out standardization and dimension reduction processing on the feature data; according to the method, high-precision prediction of the nutrient content of the food material is realized through combination of hyperspectral imaging and mass spectrometry technologies and a deep learning model, so that the nutrient content prediction accuracy and the configuration scheme accuracy are improved, the nutrient balance achievement rate is also improved, and meanwhile, the limitation of a static database is broken through; real-time nutritional ingredient analysis of any food material is achieved, the method can adapt to individual differences and freshness changes of the food materials, and accurate configuration based on actual food material characteristics is provided.

The invention discloses a royal jelly freshness detection design matching method based on a structure diffusion model, and relates to the technical field of food quality detection. The invention discloses a royal jelly freshness detection design matching method based on a structure diffusion model. The method comprises the steps of sample acquisition, peptide fragment analysis, peptide fragment reverse target searching, binding energy calculation and detection design matching system construction. According to the method, protein and degradation products thereof related to royal jelly freshness can be quickly identified by virtue of a peptide fragment reverse target searching method and a mass spectrometry and database matching technology, so that the time for searching related protein markers is greatly shortened, and the freshness detection efficiency is remarkably improved; by accurately matching protein sequences and identifying degradation products, it is ensured that screened markers are closely related to the degradation process of royal jelly, and therefore scientificity and accuracy of freshness detection are improved; through utilization of royal jelly proteome information, data analysis efficiency and cost effectiveness are improved.

The invention relates to the technical field of molecular biological detection, in particular to a primer, a probe group and a kit for multiplex nucleic acid mass spectrometry detection of porcine diarrhea pathogens and application. By adopting a matrix-assisted laser desorption / ionization time-of-flight nucleic acid mass spectrometry technology, eight main pathogens such as PEDV, TGEV, PDCoV, PoRV, SADS-CoV, PBoV, HEV and salmonella can be rapidly, sensitively and specifically detected at the same time. By designing the specific primer and the unexpanded probe and combining multiple PCR amplification and mass spectrometry, the method realizes high-throughput and multi-pathogen simultaneous detection. Experimental results show that the method has high sensitivity and high specificity, has no false positive reaction, and shows 100% repeatability in 60 repeated experiments. Compared with a qPCR method, the detection consistency is as high as 96.2%. The method has the advantages of being easy and convenient to operate, high in detection speed and high in adaptability, can be widely applied to efficient monitoring of porcine diarrhea pathogens, and provides important technical support for early diagnosis, prevention and control of porcine diseases.

The invention discloses a white spirit flavor recognition method based on machine learning, and belongs to the technical field of food detection and artificial intelligence. Aiming at the problems of high subjectivity of manual evaluation, low efficiency of mass spectrometry, noise sensitivity of a machine learning model and the like in the prior art, the method provides a solution integrating solvent background deduction and feature weight screening. The method specifically comprises the following steps: diluting a white spirit sample with methanol according to a volume ratio of 1: 10, collecting mass spectrum data through GC-MS, and dynamically deducting a methanol background peak; a BP neural network (GABP) optimized by a genetic algorithm is utilized to automatically analyze a weight coefficient of each molecular peak to flavor classification, and key features are screened; a classification model is constructed based on XGBoost, and parameters are optimized through cross validation, so that automatic judgment of the flavor type, authenticity and quality of the white spirit is realized. According to the method, through data dimension reduction and model collaborative optimization, the overfitting problem caused by high noise and high redundancy of mass spectrum data is solved, the classification accuracy is remarkably improved, and the method can be extensively applied to white spirit brand identification, process optimization and market quality supervision.

The present invention relates to a pretreatment method for serum liquid chromatography-tandem mass spectrometry analysis, comprising the following steps: (S1) mixing a serum sample with an acetonitrile solution containing formic acid, ultrasonicating, vortexing, and centrifuging, taking the supernatant and diluting it with an aqueous solution containing formic acid to obtain a liquid to be purified; (S2) mixing the liquid to be purified with PCN-777, ultrasonicating, vortexing, and centrifuging, taking the supernatant and obtaining a liquid to be tested; the PCN-777 is C 24 H 23 N3O 16 Zr3 phospholipid removal material, the PCN-777 is C 24 H 23 N3O 16 Zr3. The present invention uses a known MOFs material PCN-777 to develop a pretreatment method for serum ultra-high performance liquid chromatography-tandem mass spectrometry analysis, which can specifically, quickly and effectively remove different types of phospholipids in serum, and achieve efficient recovery and detection of pesticides and veterinary drugs, avoiding interference from phospholipids.

The invention relates to a method for detecting relative quantification of glycoforms in glycopeptides based on mass spectrometry and application thereof, and the method comprises the following steps: pretreating a to-be-detected product to obtain glycopeptides, performing mass spectrometry detection, and then performing data analysis; the capillary temperature of the mass spectrometric detection is 250-290 DEG C. The invention creatively finds that in the detection of glycoforms in glycopeptides, the glycoform detection result also changes along with the change of capillary temperature, and within the range limited by the invention, the proportion of glycoforms is consistent with the proportion of molecular weight glycoforms, and the detection accuracy is higher. The optimization time of the subsequent method can be shortened, and meanwhile, a clear guide is provided for the optimization direction, so that the working efficiency is greatly improved.

The invention discloses a novel high performance liquid chromatography-tandem mass spectrometry analysis method for detecting aspartatide in human plasma, teriparatide is used as an internal standard substance to be detected, a solid phase extraction method is adopted to extract aspartatide to be detected and internal standard teriparatide from a plasma sample, and a standard curve is linear in a range of 0.010-1.00 ng / mL. During the verification of the method, selectivity, matrix effect, recovery, sensitivity, linearity, accuracy and precision, stability and dilution reliability are assessed to meet standards. The method disclosed by the invention has specificity on determination of the to-be-detected substance, i.e., the aspartatide and the internal standard teriparatide in the human plasma, and a standard curve is linear in a range of 0.010-1.00 ng / mL. The quantitative lower limit of methodology is 0.01 ng / mL. The method has the advantages of good accuracy, reliability, high sensitivity, high specificity and reproducibility.

The invention relates to the field of biomedicine, and discloses a method for screening KRAS mutant interacting proteins, an HEK293T cell line for continuously expressing an HA-Turbo ID-KRAS variant is established by utilizing lentivirus transduction, the stability of transgene expression is ensured through puromycin screening, and variation caused by transient transfection is reduced as much as possible. After a Turbo ID mediated proximity marker is activated by biotin treatment, KRAS proximity binding proteins are covalently biotinylated, captured by NeutrAvidin bead purification, and analyzed by quantitative mass spectrometry. According to the invention, two potential KRAS mutation treatment target proteins of LZTR1 and LAMTOR1 can simultaneously inhibit activation and efficacy exertion of three different mutants of G12C, G12D and G12V of the G12 mutant, compared with drugs on the market that a single target of G12C directly targets the KRAS mutant, a brand new KRAS mutation targeting intervention strategy is provided, the clinical curative effect can be further improved, and the occurrence rate of secondary drug resistance can be effectively reduced.

The invention discloses a polygonatum sibiricum medicinal material species identification method based on a polygonatum sibiricum characteristic compound and application of the polygonatum sibiricum medicinal material species identification method. The invention discloses a polygonatum sibiricum medicinal material species identification method based on a polygonatum sibiricum characteristic compound. The method comprises the following steps: 1) preparing a polygonatum sibiricum rhizome sample solution; 2) analyzing different sealwort rhizome metabolites by liquid chromatography-mass spectrometry; and 3) discriminating the species of the rhizoma polygonati medicinal material, namely discriminating the species of the rhizoma polygonati medicinal material if the rhizoma polygonati rhizome metabolite contains a corresponding characteristic compound. The polygonatum sibiricum variety is polygonatum kingianum, polygonatum sibiricum, polygonatum cyrtonema and polygonatum odoratum. According to the application of the polygonatum kingianum characteristic compounds in polygonatum kingianum medicinal material species identification, each polygonatum kingianum species selects three representative characteristic compounds which are relatively high in content, have functional specificity representatives and are common in the market, the species of the polygonatum kingianum medicinal material can be identified as long as the three representative characteristic compounds are contained at the same time, the accuracy is high, the number of components to be detected is small, and the accuracy is high. The detection period is short.

To detect a molecular included in a microorganism stably with good repeatability by mass spectroscopy.SOLUTION: A preparation method of a sample for microorganism analysis comprises preparing a sample solution with a concentration of a microorganism being higher than 1×106CFU / μL and less than 6×107CFU / μL, conducting centrifugal separation of the sample solution, and preparing a sample for mass spectroscopy using supernatant obtained by the centrifugal separation.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of textile organic matter detection, and relates to a PTR-MS-based rapid mass spectrometry system and method for volatile organic compounds in textiles. Through the synergistic effect of the temperature-adjustable constant-temperature heater, the optimally designed gas exchange chamber and the mass flow controller, the limitation of complex background interference and a single temperature mode is effectively solved; the temperature-adjustable constant-temperature heater can gradually adjust the temperature according to the boiling point characteristics of VOCs, the release efficiency of substances with different boiling points is optimized, interference caused by too fast release of substances with low boiling points is avoided, and therefore the detection accuracy is improved; the optimally designed gas exchange chamber is used for clamping a textile sample through two semi-spindle-shaped cavities to form a closed space, so that the contact area and time of the sample and carrier gas are effectively controlled, the interference of environmental pollutants is reduced, and the detection sensitivity is improved; and meanwhile, the mass flow controller accurately controls the flow velocity of the carrier gas, so that VOCs are fully carried into a mass spectrum acquisition instrument, and detection errors caused by improper flow velocity of the carrier gas are avoided.

Methods and systems for multi-beam, parallel-beam, deterministic, or super mass spectrometry that include an ion source that produces ions, and two or more ion trapping devices or mass spectrometers, each having an independent sampling inlet. The two or more ion trapping devices or mass spectrometers receive the ions from the ion source via the sampling inlet of each of the ion trapping devices or mass spectrometers such that each sampling inlet provides an ion beam to each corresponding ion trapping device or mass spectrometer.

The invention discloses a method for synchronously enriching and identifying N-linked glycopeptides and O-linked glycopeptides, and relates to the technical field of material analysis chemistry and organic chemistry, the method is characterized in that glycopeptides are enriched by adopting a column solid-phase extraction mode or a dispersive solid-phase extraction mode, and a glycopeptide sample is subjected to mass spectrometry. The glycopeptide enrichment material is a material obtained by carrying out copolymerization reaction on different types of hydrophilic monomer molecules with acrylic acid groups on the surface of porous silica gel by utilizing a reversible-fracture-chain transfer free radical polymerization reaction mechanism initiated by a matrix surface, and can be used for glycopeptide enrichment. According to the method, by controlling conditions such as pH and organic phase concentration in the enrichment process, step-by-step enrichment of N-linked glycopeptide and O-linked glycopeptide can be realized, high-selectivity enrichment of two glycopeptides in a complex mixture (high non-glycopeptide doping ratio) can be realized, and the capacity of identifying glycosylation in glycoprotein is remarkably improved.

This invention discloses an AfBPP-based active molecular probe for thiostreptin, its preparation, and its application, belonging to the field of chemical biology. This invention introduces a bifunctional tag integrating a photocrosslinking group (bisacrididine) and a bioorthogonal reactive group (alkynyl group) into the structure of thiostreptin. While retaining the original biological activity of the parent compound, it endows the probe with highly efficient probe function, solving the technical problem of target loss during washing and purification of traditional non-covalent probes. After target labeling, the probe can specifically connect to reporter groups such as fluorescein or biotin through click-chemical reactions, achieving efficient enrichment of drug targets. Combined with mass spectrometry analysis, it enables global identification of potential targets in cells or complex biological samples at the omics level, such as chemical proteomics, providing a powerful molecular tool for in-depth revelation of the potential targets and pharmacological mechanisms of thiostreptin.

The present invention addresses to an automated gas injection system in vials with rubber septa, for simultaneous injection of gas in 24 or more positions, with injection pressure control and / or overpressure detection, applied to mass spectrometry analyses and / or gas chromatography. The present invention can be used, for example, in isotopic analyses of geological materials in equipment with carbonate extraction units, in the cleaning and decontamination of tubes to be used in isotopic or chromatographic analyses, and in the removal of contaminants from steam drag or by continuous flow, or coming from the free space of vials or tubes in the analyses of organic and inorganic materials.The application of this invention allows reducing the current times of routine purge (flush) of at very least 3 minutes for every 2 positions (72 positions in total and final time of 108 minutes, in a batch of samples) to a total of 96 positions in 3 minutes, with a reduction of 12 times or more in the flush time, which implies greater analytical capacity to the laboratory, lower external costs of sending samples, less time to obtain results, with technology that is easy to implement in universities and research centers in general, in addition to increasing the lifespan of rubber septa.

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

The invention discloses a gas exchange device in front of a sample introduction cone of an inductively coupled plasma mass spectrometer, the gas exchange device in front of the sample introduction cone is arranged outside an ICP torch tube in a sleeving manner, and the gas exchange device in front of the sample introduction cone is mounted on a partition plate around the sample introduction cone; the sample injection cone front gas exchange device comprises a porous breathable layer and a shell; an argon inlet is formed in one end, close to the sample introduction cone, of the shell; one end, far away from the sample introduction cone, of a space between the porous breathable layer and the ICP torch tube is opened and is communicated with the atmosphere. According to the invention, the environmental gas components in the space between the ICP torch tube and the mass spectrum interface device are exchanged into the preset clean gas, so that the sample ionization process is not interfered by the environmental air components, a lower noise baseline is obtained, and meanwhile, the generation of environmental component ions such as nitrogen oxide ions which possibly interfere mass spectrum analysis is reduced; the sensitivity of mass spectrometry detection and the environment anti-interference capability are improved.

The invention relates to the technical field of floridoside and an isomer monomer thereof, and discloses a method for preparing high-purity floridoside and an isomer monomer thereof on a large scale, which is used for carrying out large-scale preparation and purification research on the high-purity floridoside and the isomer monomer thereof and preparing the floridoside and the isomer monomer thereof from a porphyra haitanensis crude extract. And the structure and purity of the compound are identified. The method comprises the following steps: firstly, by utilizing a DART-MS technology, through a single factor experiment, optimizing experiment parameters such as extraction times and elution, and obtaining optimal extraction efficiency; and secondly, based on a two-step purification method of a prep-HPLC (Prep-High Performance Liquid Chromatography) technology, enriching the target compound by using a reversed-phase (C18) mode stationary phase in the first step, and separating the pair of isomers by using a normal-phase (NH3) mode stationary phase in the second step. The obtained floridoside and isomer monomers thereof are subjected to structure and purity identification by mass spectrometry (MS) and nuclear magnetism (NMR). Results are as follows: the two compounds are identified as floridoside and isomers thereof through high-resolution mass spectrometry, and the purities of the floridoside and the isomers thereof are up to 99.5% or above.

A data-dependent analysis (DDA) mass spectrometry technique involves ionizing a sample to generate sample ions, analyzing the sample ions by performing one or more MS1 mass analysis scans to obtain MS1 ​​data, identifying one or more precursor ions from the MS1 data, and subsequently analyzing the sample ions by performing one or more MS2 mass analysis scans. Each MS2 scan targets one of the one or more precursor ions identified from the MS1 data.The procedure further includes, for each of the one or more precursor ions identified from the MS1 data: determining a value from the MS1 data that is indicative of a collision cross section (CCS) of that precursor ion; and selecting, based on the CCS-indicative value(s), which precursor ion(s) the one or more MS2 bulk analysis scans should target, and / or determining, based on the CCS-indicative value(s), an order in which the one or more MS2 bulk analysis scans should target the precursor ions.