81 results about "Molecular composition" patented technology

The invention discloses a method for identifying duck palm weight and related molecular marker application thereof, and relates to the technical field of molecular marker-assisted selection, a primer pair is used for amplifying a DNA fragment containing a 63823029th base polymorphic site from the 5'terminal on a fourth chromosome of a duck reference genome IASAASPekinDuckT2T, and the primer pair is used for amplifying a DNA fragment containing the 63823029th base polymorphic site from the 5 '-terminal on the fourth chromosome of the duck reference genome IASAASPekinDuckT2T. The duck reference genome IAASAASPekinDuckT2T is a duck reference genome sequence in a GenBank database, and the duck reference genome sequence is a duck reference genome sequence in the GenBank database; the duck is a Chinese and new white feather meat duck, and the primer pair consists of a DNA (deoxyribonucleic acid) molecule as shown in SEQ ID No.2 and a DNA molecule as shown in SEQ ID No.3. According to the method for identifying the duck foot weight and the application of the related molecular marker, the genotype of the duck can be judged by detecting the genome DNA of the duck, early living screening of the duck foot weight character is achieved, phenotype determination after slaughtering is not needed, the breeding period is remarkably shortened, and the breeding cost is reduced.

This invention is a smart ring with spectroscopic sensors. Changes in the spectrum of light which are caused by interaction with (e.g. reflection by or transmission through) matter are analyzed to get information about the composition of that matter. In an example, light emitters can direct light outward toward an environmental object to get information concerning the molecular composition of the object. In an example, light emitters can direct light inward toward the surface of a person's finger to measure one or more biometric parameters.

The invention relates to a multi-model-based petrochemical production stream molecular-level composition prediction method and system, and relates to the technical field of oil refining chemical molecule management, and the method comprises the steps: measuring the molecular composition of a raw material, splicing structural units based on a structural unit-bond electric matrix frame, and constructing a molecular digital structure topology; constructing a molecular composition model by combining a preset molecular database, a probability density function and a molecular property predictor; establishing a molecular-level reaction network based on a catalytic reforming reaction mechanism, and constructing a molecular-level reaction kinetic model in combination with a reaction rate expression; constructing a reactor model according to mass, energy and momentum transfer equations; inactivation and separation unit models are constructed, multiple models are coupled in sequence, a whole-process reaction-separation molecular level prediction model is generated, and any stream molecular level composition is predicted. The method solves the problem that traditional petrochemical production depends on measurement results to adjust process parameters and has operation lag, and can eliminate lag and improve production control precision by predicting stream molecular composition.

The determination of chemical mixture components is vital to a multitude of scientific fields. Oftentimes various spectroscopic methods are employed to decipher the molecular composition of these complex mixtures. The sheer density of spectral features of different molecules present in such observations may make unambiguous assignment to individual species using these methods challenging. Yet, components of a mixture are commonly chemically related due to environmental processes or shared precursor molecules. Therefore, along with investigating the spectroscopic signals, analysis of the structural and chemical relevance of a molecule is an important consideration when determining which species are present in a mixture. Machine-learning molecular embedding methods are used with a relevance module to determine the likelihood of a molecule being present in a mixture based on the other known species, chemical priors, and spectroscopic information. By incorporating this metric, the mixture components can be identified with extremely high accuracy (∼ 97%).

An embodiment represents composition of molecules in a feedstock as a combination of individual molecule representations and molecular attribute representations. A representation of chemistry of a chemical reaction of the feedstock in a chemical reactor is then formulated based on the representations. Then, a simulation of the chemical reaction of the feedstock in the reactor is performed using the representations to determine composition of products of the reaction. A first subset of the products are represented as individual molecule represented products, and a second subset of the products are represented as attribute represented products. In turn, the attribute represented products of the second subset are sampled to determine individual molecule representations of the attribute represented products. As a consequence of the sampling, individual molecule representations of the first and second subsets of the products of the chemical reaction of the feedstock in the chemical reactor result.

The invention relates to the field of oil reservoir exploration and development, and discloses a heavy oil micromechanism characterization method and device, a storage medium and a processor, and the method comprises the following steps: determining the molecular composition of a heavy oil sample and the content of each molecule; classifying the molecules based on the features of the molecules to obtain a classification result, and selecting at least one target molecule from each category of the classification result; establishing a heavy oil system molecular model based on a heavy oil simulation system composed of the target molecules; based on the thickened oil system molecular model and a pre-established mineral pore molecular model, establishing a thickened oil system flow model; and determining the thickened oil micromechanism according to the simulation result of the thickened oil system flow model. Based on the scheme of the application, the similarity degree of properties between the thick oil simulation system and the real thick oil system can be improved, so that the accuracy of the subsequent micro simulation result of the thick oil can be improved, and the accuracy of the obtained thick oil micro mechanism can be improved.

The invention belongs to the field of soil dissolved organic matter analysis, and provides a multispectral-based DOM detection and reclamation influence evaluation method, which comprises the following steps: step 1, collecting dry farmland soil samples of different reclamation years, and obtaining soil column samples of a plough layer, a plow pan and subsoil; 2, extracting, centrifuging and filtering the soil sample to obtain a DOM solution; 3, detecting the DOM solution by adopting an ultraviolet-visible absorption spectrum; step 4, adopting a three-dimensional fluorescence spectrum and combining parallel factor analysis to obtain fluorescence components and source characteristics of the DOM solution; step 5, analyzing molecular composition and characteristic parameters of the DOM solution by adopting solid-phase extraction in combination with Fourier transform ion cyclotron resonance mass spectrometry; and step 6, based on the detection data in the steps 3-5, evaluating the influence of reclamation years on the composition, structure and degradation characteristics of the DOM. According to the method, multi-dimensional detection of soil DOM is realized through a multi-spectrum and mass spectrum combined technology, and DOM is comprehensively analyzed from a macrostructure to molecular composition.

The present application relates to a kind of hydrolysis targeting chimera based on artificial antibody and its preparation method and application.The hydrolysis targeting chimera is composed of artificial gold antibody and molecule that can activate cell degradation mechanism, the artificial gold antibody is composed of gold nanoparticle and polypeptide coupled on the surface of gold nanoparticle, the molecule that can activate cell degradation mechanism is coupled on the surface of gold nanoparticle.The hydrolysis targeting chimera can simultaneously bind target protein and activate cell degradation mechanism, with the performance of strong specific recognition target protein, and high stability, orientation controllable.At the same time, the hydrolysis targeting chimera can also play the molecule of activation cell degradation mechanism, such as lysosome sorting signal motif, coupled on the surface, induce clathrin-mediated endocytosis, transport the complex of target protein and chimera to lysosome and degrade.The hydrolysis targeting chimera can play multi-mode cancer treatment effect by synergistic inhibition of tumor cell proliferation, invasion pathway and apoptosis activation.

The present invention provides a Zn-MOF material for high-sensitivity and high-selectivity detection of ATP / ADP, and a preparation method therefor and a use thereof. The Zn-MOF material uses zinc as a metal center and H2PDBA as a ligand. The chemical molecular formula of the Zn-MOF material is [C34H30N2O4Zn]n, wherein n represents an infinite alternating arrangement of the simplest molecular formula in the internal molecular composition of the material. The present invention further provides a preparation method for the Zn-MOF material. The preparation method comprises adding H2PDBA and an inorganic zinc compound to a first organic mixed solution and placing the mixture in a reaction kettle for a reaction to obtain the Zn-MOF material. The Zn-MOF material of the present invention can realize high-selectivity detection of ATP / ADP in water. In addition, a new fluorescent material is provided for the detection of ATP / ADP, and new ideas are provided for rationally constructing more stable MOFs in terms of structural design.

The application provides a method and system for identifying molecular composition and predicting physical properties based on a graph, and belongs to the technical field of material analysis and testing. The method comprises: performing infrared spectrum detection and gas chromatography detection on the gasoline to be detected respectively to obtain infrared spectrum data and gas chromatography data; obtaining a first predicted molecular composition according to the infrared spectrum data; identifying a second predicted molecular composition based on the gas chromatography data; performing linear addition on the first predicted molecular composition and the second predicted molecular composition to obtain an overall predicted molecular composition; and taking the overall predicted molecular composition and predicted molecular attribute information as the molecular detection result of the gasoline to be detected. The application solves the technical problems of low accuracy of gasoline molecular composition identification, great limitation of a single detection method and inaccurate physical property prediction in the prior art, achieves the technical effect of improving the accuracy of molecular composition identification through double spectrum data fusion, and realizes reliable physical property prediction based on accurate molecular composition.

The invention relates to the technical field of petrochemical production, and discloses a molecular-level method and system for predicting the quality of any stream in petrochemical production. The method comprises the following steps: carrying out online spectral analysis on a feed stream to obtain carbon number distribution and hydrocarbon composition data, and establishing a dynamic molecular library through structural unit coding; establishing a reaction rule library according to a reaction mechanism, and matching with the molecular library to generate a reaction network; establishing a reaction kinetics equation set in which the feed composition correction factor is introduced, and optimizing parameters; and performing gas-liquid phase equilibrium calculation on the reaction product to obtain stream molecular composition, extracting a structure descriptor, inputting the structure descriptor into a neural network model, introducing a component interaction item, and outputting a stream quality prediction result. The problems that stream quality prediction lags behind, precision is low, and feeding fluctuation cannot be adapted in real time in the prior art are solved.

The application discloses a preparation method of a solid-phase extraction filler special for carboxylic acid herbicides, and the method comprises the following steps: firstly, modifying a template molecular composition into a polymerizable monomer through esterification, then bonding the polymerizable monomer into a cross-linked polymer, and finally hydrolyzing and removing the template molecular composition to obtain the solid-phase extraction filler special for carboxylic acid herbicides. The solid-phase extraction filler special for carboxylic acid herbicides provided by the application has the advantages of good specificity adsorption for carboxylic acid herbicides, high detection sensitivity, complete impurity removal, good stability of the filler, high strength, strong chemical resistance, and the like. Meanwhile, the template molecular composition does not belong to the detected molecules, and a small amount of residual template molecular composition does not affect the detection, so that the problems of low purification efficiency and easy pollution of the sample inlet of a chromatograph in the prior art, which affect the detection effect, are solved.

The invention relates to a novel chemical compound - a diagnostic marker - for use in medicine, more specifically in cancer diagnosis, in particular the diagnosis of brain tumour. The invention thus provides a compound having formula 1: Xl-Lys-Asp-Gly-Gln-X2, wherein XI comprises or consists of molecule Cl, and X2 comprises or consists of molecule C2, wherein a pair of molecules Cl and C2 is a pair of fluorescence donor and fluorescence acceptor, and wherein the compound undergoes enzymatic cleavage into the fragments Xl-Lys- Asp-Gly-GIn-OH (Fragment 1) and X2 (Fragment 2) with a generation of a measurable optical signal upon spatial separation of molecules Cl and C2. The invention also relates to an in vitro method for detecting enzymatic activity present in a subject's body fluid, in particular derived from brain tumour cells, using the compound. The invention further relates to an in vitro method for diagnosing brain tumour using the compound, a kit comprising the compound and use of the compound for the detection of enzymatic activity specific to brain tumour and use of the compound for the diagnosis of brain tumour. The invention also relates to the compound for use as a diagnostic marker of brain tumour and a method for the treatment of brain tumour comprising a step of carrying out the method for the diagnosis of brain tumour as defined above using the compound.

The invention discloses a Q-TOF mass spectrum database system and a Q-TOF mass spectrum database method for analyzing unknown substances of medical equipment. According to the system and the method, the traditional positive matching logic of quasi-molecule ion priority is abandoned, and a reverse analysis strategy from a structural unit to a molecular structure is creatively adopted. The core of the method is that: a candidate structural unit is locked preferentially through characteristic fragment ions in a secondary mass spectrum and mass difference matching between the ions; and carrying out intelligent combination calculation by combining information of primary excimer ions (essentially adduct ions), and finally deducing the molecular composition of an unknown compound. The method effectively solves the problems that a traditional method is low in unknown derivative identification success rate and excessively depends on expert experience, minute-level efficient identification is achieved, and the efficiency, accuracy and coverage range of medical instrument leached matter identification are remarkably improved.

The present disclosure relates to systems and methods for real-time analysis and classification of tangible products based on predefined quality parameters using artificial intelligence (AI). It incorporates one or more sensors to monitor various product properties such as molecular composition, moisture content, and structural integrity. Sensor data is processed by a server, which identifies relevant characteristics like spectral peaks and dielectric constants, then generates a comprehensive aggregate signature using feature-level fusion techniques. An Al model, trained on tangible datasets, analyzes the fused data to detect deviations in quality, such as foreign particles, improper moisture, or structural defects. The system provides real-time feedback for corrective action, allowing adjustments in production parameters or sorting of defective products. In some embodiments, a handheld version of the system enables manufacturers to perform in process checks and immediately address quality issues during production.

A separation membrane for separating hydrogen and a gas L, in which an activation energy Ep(S) (kJ / mol) of a permeance P(S) (mol / (m2·s·Pa)) of hydrogen through the separation membrane derived within a range of a temperature Tam (° C.) satisfying Formula (1-I) described below and an activation energy Ep(L) (kJ / mol) of a permeance P(L) (mol / (m2·s·Pa)) of a gas L (provided that hydrogen is excluded) through the separation membrane derived within the same temperature range satisfy Formula (1-II) described below: 5 (° C.)≤Tam (° C.)≤200 (° C.) (1-I)|Ep(L)|<|Ep(S)| (1-II). There can be provided a separation membrane for separating and recovering hydrogen, a separation membrane laminated body, a separation module or separation tower, a hydrogen recovery system, and a method for separating and recovering hydrogen, which enable safe and highly efficient separation and recovery of hydrogen from a mixed gas composed of molecules having relatively close dynamic molecular diameters even when a supply pressure is relatively low, including separation and recovery of hydrogen from a hydrogen-oxygen mixed gas.

This application relates to the field of mass spectrometry imaging technology, and particularly to a non-targeted cascade mass spectrometry imaging method and apparatus. The method includes: acquiring the secondary mass spectrum of each pixel, performing peak identification and extraction to obtain a first intensity matrix; obtaining multiple parent ion secondary mass spectra and their correspondence with fragment ions through first-order deconvolution calculation; generating a second intensity matrix by combining the molecular composition information of neighboring pixels; performing second-order deconvolution calculation to obtain the relative ion intensities of characteristic fragments generated by each parent ion within each pixel; and generating multi-target mass spectrometry imaging results. This solves the problems in related technologies where mass spectrometry imaging cannot be coupled with chromatographic separation techniques, resulting in limited analytical dimensions and increased data analysis difficulty; and where data acquisition and spectral deconvolution rely on molecular composition modulation techniques, leading to increased instrument complexity and cost, limited application scenarios, and impacts on stability and ease of use.

The invention relates to the technical field of veterinary drugs, and particularly provides a polynucleotide molecule composition for preventing cat infectious peritonitis, a chimeric polynucleotide molecule and an mRNA vaccine. In order to overcome the ADE effect caused by S protein full-length antigen in the prior art, FIPV N protein without ADE risk is adopted and is combined with screened S protein specific T cell and B cell epitopes. Core schemes include two classes: one is a separate polynucleotide composition comprising epitope peptides encoding N and S proteins; and 2, a single chimeric polynucleotide encoding N protein and S protein epitope peptides. The polynucleotides are optimized by codons and encapsulated in lipid nanoparticles (LNP) to prepare vaccines. Experiments prove that the vaccine can synergistically stimulate powerful immune response, the survival rate of immune cats is remarkably increased to 80%-100% from standard 40% on the premise that ADE is not caused, and FIP is effectively prevented.

The application discloses a generation method and a prediction method and device of an oil product molecular composition prediction network. The generation method comprises the following steps: obtaining an original data set; training a pre-constructed generator based on the original data set to obtain first network parameters of the generator; inputting macroscopic physical property data of a randomly generated to-be-tested oil product into the generator to obtain molecular composition data of the to-be-tested oil product generated by the generator; keeping the first network parameters of the generator unchanged, training a pre-constructed discriminator connected with the generator based on the molecular composition data of the known oil product in the original data set and the molecular composition data of the to-be-tested oil product generated by the generator to obtain second network parameters of the discriminator; keeping the second network parameters of the discriminator unchanged, and jointly training the trained generator and the discriminator based on the original data set to obtain an oil product molecular composition prediction network. The prediction network can predict the full molecular composition of the oil product.

The application provides a method for predicting the molecular composition of a hydrocracking feedstock, comprising the following steps: obtaining experimental values of physical properties of a hydrocracking feedstock to be measured; obtaining the molecular composition and content of the hydrocracking feedstock according to the experimental values of the physical properties of the hydrocracking feedstock to be measured and a pre-established fingerprint library of hydrocracking feedstock; the fingerprint library of hydrocracking feedstock comprises the relationship between the physical property parameters of the hydrocracking feedstock, the carbon number, the structure and the content of each of the plurality of molecular matrices, and the relationship between the physical property parameters and the plurality of molecular matrices. The prediction method provided by the application can effectively characterize the hydrocracking feedstock, can be seamlessly connected with a hydrocracking reaction kinetics model, and the calculation result is fast, accurate and reliable.

The present application belongs to the technical field of biomass charcoal material and environmental functional material, and particularly relates to a preparation method for regulating the release characteristics and environmental stability of biochar dissolved organic matter and application thereof. The method uses cotton stalk cortex biomass as raw material, prepares biochar through limited oxygen pyrolysis, and combines particle size crushing classification and repeated crushing treatment to regulate the exposure degree of the cavity structure and skeleton structure of the biochar, so as to realize the regulation of the release amount, molecular composition, aromaticity, photochemical property and oxidation stability of the biochar dissolved organic matter. The method is simple in process, wide in raw material source, can distinguish biochar dissolved organic matter from different structure sources, and provides technical support for the application of biochar in environmental remediation, pollutant migration regulation, carbon stability evaluation and safe application.

The invention relates to the technical field of mineral separation, in particular to a method for determining molecular composition of an associate on the surface of a mineral. According to the method, a combination of a first reagent and a second reagent is used as a flotation combination reagent, and the flotation combination reagents with different molar ratios are subjected to mineral flotation; obtaining the mineral recovery rate of the flotation combined reagents with different molar ratios after mineral flotation; establishing a mineral recovery rate change curve by taking the molar ratio of the flotation combined reagent as an abscissa and the mineral recovery rate as an ordinate; according to the mineral recovery rate change curve, horizontal coordinates corresponding to extreme points of the curve are obtained and serve as molar ratios of different reagent molecules in the associates generated by the flotation combined reagent on the surface of the mineral, and molecular composition and spatial conformation of the associates are obtained. By means of the method, the molar ratio and the spatial orientation of different agent molecules in the associate generated on the surface of the mineral when the combined collecting agent is located at the flotation extreme point can be rapidly judged.

The invention relates to a novel chemical compound - a diagnostic marker - for use in medicine, more specifically in cancer diagnosis, in particular the diagnosis of brain tumour. The invention thus provides a compound having formula 1: Xl-Lys-Asp-Gly-Gln-X2, wherein XI comprises or consists of molecule Cl, and X2 comprises or consists of molecule C2, wherein a pair of molecules Cl and C2 is a pair of fluorescence donor and fluorescence acceptor, and wherein the compound undergoes enzymatic cleavage into the fragments Xl-Lys- Asp-Gly-GIn-OH (Fragment 1) and X2 (Fragment 2) with a generation of a measurable optical signal upon spatial separation of molecules Cl and C2. The invention also relates to an in vitro method for detecting enzymatic activity present in a subject's body fluid, in particular derived from brain tumour cells, using the compound. The invention further relates to an in vitro method for diagnosing brain tumour using the compound, a kit comprising the compound and use of the compound for the detection of enzymatic activity specific to brain tumour and use of the compound for the diagnosis of brain tumour. The invention also relates to the compound for use as a diagnostic marker of brain tumour and a method for the treatment of brain tumour comprising a step of carrying out the method for the diagnosis of brain tumour as defined above using the compound.

The invention provides a pellicle drug-loading system and a preparation method and application thereof, the pellicle drug-loading system is of a structure that an outer membrane wraps a core, and the outer membrane is a bacterial outer membrane; the core is formed by loading near-infrared two-region AIE photo-thermal molecules on a tetrahedral DNA (deoxyribonucleic acid) nano structure. The invention has the advantages that: the mycoderm drug delivery system can realize spatial dual targeting and time visual regulation and control on pathogens, and constructs a positive feedback cycle of drug delivery-immune activation through triple function synergy, thereby providing a drug basis for treatment of bacterial infection.

The invention relates to a quantitative source tracing method and device for a water pollution source, and the method comprises the steps: detecting the concentrations of soluble organic carbon of samples of a target water body section, a main pollution source and a non-main pollution source, and detecting the molecular composition and molecular strength of soluble organic matters in the samples through a non-target ultrahigh-resolution mass spectrum; main pollution source representative pollution molecules which belong to the target water body cross section, are main pollution sources and do not belong to non-main pollution sources are screened out; generating a fitting curve of the representative pollution molecules of the main pollution source according to the intensity of the representative pollution molecules of the main pollution source and the concentration of the soluble organic carbon; calculating the contribution rate of the main pollution source to the dissolved organic matters of the water body, and quantitatively tracing the pollution source of the water body according to the contribution rate of the dissolved organic matters. According to the method, DOM is taken as a gripper, DOM molecular composition and molecular strength characteristics of a pollution source are obtained, and quantitative tracing of pollution is realized by screening representative pollution molecules and calculating contribution of the pollution source to water pollution.

A method implemented in a wastewater monitoring system for evaluating bioavailability of organic nitrogen in wastewater, including: obtaining, by using a Fourier Transform Ion Cyclotron Resonance Mass Spectrometer, molecular composition information of organic nitrogen in a wastewater sample collected from a wastewater treatment plant; obtaining bioavailability data corresponding to the wastewater sample, where the bioavailability data is measured through algal bio-culture; training, by a processor of the wastewater monitoring system, a random forest model using the molecular composition information and the bioavailability data; receiving, from the spectrometer, molecular composition information of organic nitrogen in wastewater from a target wastewater treatment plant; and executing, by the processor, the trained machine learning model on the received molecular composition information to generate a predicted bioavailability value; and transmitting, by the wastewater monitoring system, the predicted bioavailability value to a process control unit of the wastewater treatment plant for real-time monitoring or process adjustment.

The invention relates to the technical field of environmental geochemistry, in particular to a degradation prediction method for soluble organic molecules based on a time sequence chart neural network. According to the degradation prediction method for the soluble organic molecules, a data set is formed based on existing water body degradation whole-process molecules, and data standardization processing is carried out according to a specified standard; converting the standard data matrix into a molecular graph network, inputting the molecular graph network into a time sequence graph neural network, and organizing the molecular graph network according to a time sequence to form a graph sequence; a dynamic graph neural network model is constructed through combination of graph network characteristics of a molecular structure and time sequence constraints of environmental conditions to realize high-precision prediction of degradation paths, rates and potential products of organic molecules in the environment under different conditions. According to the method, a rule rationality constraint and interpretability mechanism is introduced, the chemical effectiveness of a prediction result can be effectively guaranteed, an interpretability output result can be provided, and thus the reliability and interpretability of the model are further enhanced.

The present invention relates to a method for detecting a specific component in a biological sample (e.g., a blood sample) obtained from a subject in order to predict whether the subject has cancer. The present invention provides a method comprising isolating one or more components selected from the group consisting of SerpinA3 and Gal3BP from the biological sample. The present invention also provides a method comprising detecting a glycoprotein in a biological sample (e.g., a blood sample) obtained from a subject by performing an assay using a first molecule selected from the group consisting of a molecule that binds to a BC2LCN-binding sugar chain, a molecule that binds to SerpinA3, and a molecule that binds to Gal3BP, and a second molecule that binds to a BC2LCN-binding sugar chain.

The present invention provides a nickel-based supramolecular light-converting material, the molecular composition of which is Ni(o-Hbpt)(bpeb)(H2O)4, belonging to the monoclinic crystal system, the space group is P21 / n space group, and the unit cell parameters are #imgabs0##imgabs1#. In the chemical composition, the component o-Hbpt 2‑ The material is a fluorescent nickel-organic coordination supramolecular crystalline material, derived from the removal of two protons from the rigid ternary organic carboxylic acid o-H3bpt. The structure of o-H3bpt is shown in Formula I, and the structure of the component bpeb is shown in Formula II. The material, #imgabs2#, is a fluorescent nickel-organic coordination supramolecular crystalline material. The rich supramolecular interactions within its single crystal structure drive the weaving of a complex three-dimensional supramolecular structure. The new material can be prepared under mild conditions with a yield of approximately 79%. At room temperature, the crystal sample emits fluorescence over a wide range of 425-700nm, encompassing the red, green, and blue primary colors. The resulting white light LED device exhibits excellent properties, including low energy consumption, a near-continuous spectrum, low blue light hazard, and a softer white light.

The present application relates to the technical field of fracturing fluid, in particular to a multifunctional fracturing fluid composition, a preparation method and application thereof, and belongs to the technical field of shale development. The fracturing fluid composition comprises a small-molecule long-chain fatty acid anionic surfactant, a structure connecting agent, a carbon dioxide additive and water. The present application realizes the needs of integration of fracturing, swelling prevention and displacement for enhanced oil recovery at one time. The viscosity requirements of the fracturing fluid are different at different stages in the fracturing construction process, and the viscosity change of conventional fracturing is less operable, mainly composed of polymer macromolecules, and the reservoir damage is large. The performance of the fracturing fluid of the present application can be adjusted according to the field requirements, the reservoir damage is low, and the fracturing and the later enhanced oil recovery are realized at one time.