122 results about "Complex matrix" patented technology

The invention relates to a food-borne microorganism detection method and system based on a spectrum technology. The method comprises the following steps: carrying out correlation analysis on the content sequence of each chemical substance in a plurality of blank matrix samples and the absorbance sequence of each wave band in spectral data of the plurality of blank matrix samples to obtain an aliasing coefficient of each wave band; analyzing the content of each strain in the plurality of strain samples and the absorbance of each wave band in the corresponding strain spectral data to obtain an absorbance influence coefficient between any two strains under each wave band; determining a flora representative coefficient of each wave band according to the number of the plurality of strains, the aliasing coefficient of each wave band and the absorbance influence coefficient of other strains on the first strain under the corresponding wave band; and according to the flora representative coefficient of each wave band and the absorbance sequence of the corresponding wave band in the spectral data of the plurality of target samples, screening a characteristic wave band from each wave band. According to the method, the analysis difficulty during coexistence of multiple flora in a complex matrix is simplified, and the generalization ability and the practical application value of the model are improved.

The invention provides a fluorescence probe signal calibration method and system for rapid detection of multiple residues in a complex matrix, and the method comprises the steps: collecting a fluorescence signal of a to-be-detected sample, and analyzing the original concentration, the fluorescence average lifetime and the fluorescence peak emission wavelength of the to-be-detected sample from the fluorescence signal; calculating a life deviation between the fluorescence average life and a preset reference life, and a wavelength deviation between the fluorescence peak emission wavelength and a preset reference wavelength; calculating to obtain a signal fidelity index based on the life deviation and the wavelength deviation; according to a preset threshold interval in which the signal fidelity index falls, a corresponding calibration strategy is determined, and the calibration strategy is one of non-calibration, calibration execution or invalid marking; and when the calibration strategy is to execute calibration, calculating a total calibration factor based on the life deviation and the wavelength deviation, calibrating the original concentration by using the total calibration factor, and outputting the calibrated concentration.

The invention discloses a compound monitoring method and system based on chromatographic column analysis and a medium, and relates to the technical field of chromatographic detection.The method comprises the steps that a complex matrix sample is taken, and first chromatographic column response distribution of the complex matrix sample is collected through a diode array detector; enhancement strategy optimization is carried out according to adjustable action parameters of the diode array detector, and the diode array detector collects second chromatographic column response distribution of the complex matrix sample under a first enhancement strategy; identifying a difference chromatographic column response distribution of the first chromatographic column response distribution and the second chromatographic column response distribution, and constructing a high-dimensional feature fusion fingerprint; and performing similarity measurement based on the high-dimensional feature fusion fingerprints and a pre-constructed compound feature fingerprint database to obtain a compound detection result. The technical problem of low detection accuracy caused by insufficient chromatographic response information of the compound under a complex matrix condition in the prior art is solved, and the technical effect of improving the detection accuracy of the compound is achieved.

The invention belongs to the technical field of biological detection, and particularly relates to a specific monoclonal antibody for AKK bacterium active protein P9, a detection kit and application of the specific monoclonal antibody. The antibody pair is 7G4 and 8B2, the amino acid sequence of a heavy chain variable region of the 7G4 is SEQ ID NO.2, and the amino acid sequence of a light chain variable region of the 7G4 is SEQ ID NO.4; the amino acid sequence of the 8B2 heavy chain variable region is SEQ ID NO.6, and the amino acid sequence of the 8B2 light chain variable region is SEQ ID NO.8. The antibody pair has strong specificity and high affinity, and can accurately recognize different antigen epitopes of the P9 protein. A colloidal gold detection and double-antibody sandwich ELISA detection system constructed based on the kit adapts to a complex matrix and various process treatment samples, is stable and reliable in detection, has qualitative and quantitative capabilities, can be used for scenes of P9 protein detection, fermentation monitoring, quality control and the like, and solves the problems of insufficient specificity, poor adaptability and the like in the prior art.

The invention relates to the technical field of environmental and biological analysis and detection, in particular to a method for extracting perfluorinated / polyfluorinated compounds based on confinement fluid. The method comprises the following steps: providing a multi-dimensional reticular nanopore material; growing mutually staggered carbon nanofibers on the surface of a substrate through a chemical vapor deposition method; loading a confinement fluid in a pore channel of the multi-dimensional reticular nano-pore channel material; contacting the material with a to-be-detected sample, and extracting; desorbing the extracted material by using a desorption solvent to obtain a desorption solution; and detecting the perfluorinated / polyfluorinated compounds in the desorption solution. A multi-dimensional net-shaped nano pore channel formed by mutual staggering of the carbon nanofibers provides a stable multi-dimensional micro-nano confinement space for confinement fluid. According to the structure, mass transfer and distribution of a target analyte from a complex matrix to a confinement fluid are greatly promoted, so that efficient enrichment of various perfluoro / polyfluoro compounds is realized, and the recovery rate and the detection sensitivity of the method are improved.

This invention discloses a pretreatment method for detecting trace perfluorinated and polyfluoroalkyl substances (PFAS) in complex matrix textiles, belonging to the field of materials analysis technology. The method involves placing the textile in an alkaline solvent containing an alkyl sulfonate displacing agent. Under heating conditions, the displacing agent utilizes its competitive adsorption mechanism to forcibly occupy matrix adsorption sites and displace the target analytes into the solvent. Subsequently, the temperature is rapidly lowered to the phase separation induction temperature, inducing supersaturation precipitation of the displacing agent, which then encapsulates impurities in situ and co-precipitates, forming a solid-liquid stratified system. Finally, the supernatant is collected for analysis. This invention utilizes the dual properties of the displacing agent—high-temperature solubilization and low-temperature phase change removal—to effectively break the strong adsorption equilibrium of aged textiles without using a solid-phase extraction column. This solves the contradiction between low extraction rate and significant matrix interference, significantly improving the recovery rate of PFAS. It offers advantages such as low cost, simple operation, and high accuracy.

The invention discloses a data processing method, the method is applied to data processing equipment, and a processor architecture of the data processing equipment at least comprises a universal central processing unit (CPU) and a plurality of matrix acceleration modules. The method comprises the following steps: reading a real part data set and an imaginary part data set of a first data type stored in a first register in the complex matrix acceleration module; wherein the real part data set and the imaginary part data set correspond to a preset number of matrix data blocks; performing multiply-accumulate operation on the real part data set and the imaginary part data set through a first calculation unit corresponding to the first data type in the complex matrix acceleration module to obtain a first calculation result; and storing the first calculation result to a first storage area corresponding to the complex matrix acceleration module. The invention further discloses a data processing device and equipment, a storage medium and a computer program product.

The invention discloses a near-zero background fluorescence sensor based on polydopamine functionalized MXene as well as a preparation method and application of the near-zero background fluorescence sensor, and belongs to the technical field of universal biosensing. The sensor comprises a polydopamine functionalized MXene material and a quantum dot-aptamer fluorescent probe which is accurately coupled by click chemistry in a ratio of 1: 1. The detection method is characterized in that a target object is utilized to induce the probe to desorb from the surface of a material, and a supernatant containing the free probe is physically separated from a material precipitate through centrifugal separation, so that background fluorescence interference is almost completely eliminated. According to the invention, ultra-sensitive detection of aflatoxin B1 is realized, and the detection limit of AFB1 in complex matrixes such as corn flour is as low as 0.27 mu g / kg. All components of the platform can be modularly and independently stored for a long time, the platform can be directly applied to detection of various micromolecular mycotoxins without optimization by replacing aptamers, and the platform has high sensitivity, high stability and high universality.

The application relates to the technical field of automatic charging, and provides a control method and system of an automatic charging device, a mechanical arm of the automatic charging device comprising three rotary joints, one translation joint and joint arms between the joints, the rotary planes of the three rotary joints being parallel to each other, the translation joint driving a charging gun to move along a translation axis, the method comprising the following steps: acquiring current pose parameters of the mechanical arm and a target pose of the charging gun; calculating a current pose of the charging gun based on the current pose parameters; and planning a joint path of the mechanical arm based on a two-dimensional search method and the geometric relationship between the rotation angle of the charging gun relative to the translation axis and the joint angles of the rotary joints according to the current pose and the target pose. The application does not need to establish a D-H kinematics model and does not need to perform complex matrix operations; moreover, the two-dimensional search method can directly obtain an optimal solution without iterative calculation, reduces the calculation time cost, and has high overall planning efficiency.

The invention belongs to the technical field of environmental analytical chemistry, and particularly relates to a separation and purification and high-throughput target quantitative analysis method for multiple types of environmental pollutants in a complex matrix biological sample. The method comprises the following specific steps: S1, carrying out ultrasonic extraction on a biological sample to obtain an extracting solution; s2, performing dispersive solid-phase extraction and purification treatment on the extracting solution to obtain a solution to be detected; s3, determining the environmental pollutants in the liquid to be detected by adopting a selected ion scanning mode of the gas chromatograph-mass spectrometer. The pretreatment method disclosed by the invention can effectively reduce complex matrix interference of the biological sample, and can quickly and efficiently perform high-throughput target analysis on multiple types of environmental pollutants in the biological sample; the method disclosed by the invention is low in detection limit and capable of realizing trace detection of a biological sample; the invention provides a new method for researching the occurrence condition of the environmental pollutants in the 17 marine organisms in Liaoning Bay, and has important significance for the progress of environmental science.

Aiming at the problem that high-sensitivity and high-accuracy quantitative analysis is difficult to realize when a traditional detection method is used for a complex multi-component mixture, the invention discloses a terahertz spectrum quantitative analysis method for a rubber mixture. Based on a terahertz spectrum technology and in combination with an improved rhodeus ocellatus optimization algorithm (IFBO), accurate detection of the content of two trace anti-aging agents (NBC and 44S) in a five-component rubber mixture is realized. Through systematic experimental design and spectral analysis, differentiation characteristics of different anti-aging agent proportions in a time domain and an absorbance spectrum are determined, and SG preprocessing, PCA and SPXY data set division methods are utilized, so that the signal-to-noise ratio of spectral data and the model generalization ability are effectively improved. A support vector regression (SVR) model is introduced according to small-sample and high-dimensional nonlinear spectral data characteristics, and the significant advantages of IFBO in parameter optimization are verified by comparing the optimization effects of GA, PSO and FBO. Experimental results show that the correlation coefficient (Rp) of the IFBO-SVR model on a prediction set reaches 0.9879, the root mean square error (RMSEP) is reduced to 0.0024, and compared with a traditional algorithm, the method has higher accuracy and stability. The invention not only provides an efficient technical scheme for rapid detection of trace anti-aging agents in complex matrixes, but also lays a theoretical foundation and basis for quality control of rubber products and environmental safety assessment.

This invention discloses a magnetic covalent organic framework composite material modified with nucleic acid aptamers, its preparation method, and its applications. The composite material uses magnetic iron oxide microspheres as the core, with the surface of the core coated with a shell of covalent organic framework material. Nucleic acid aptamers capable of specifically recognizing tetracycline antibiotics are stably assembled onto the shell surface through non-covalent interactions. This invention fully utilizes the large specific surface area and electron-rich framework of magnetic covalent organic framework materials as efficient carriers for nucleic acid aptamers, effectively overcoming the shortcomings of traditional adsorption materials in terms of poor selectivity and limited adsorption capacity in complex matrices, while avoiding cumbersome covalent modification processes. This composite material exhibits excellent adsorption capacity and superior selectivity for tetracycline antibiotics, and is particularly suitable for rapid and efficient magnetic solid-phase extraction of trace tetracycline antibiotics in complex animal-derived food matrices, significantly improving the detection sensitivity and accuracy of subsequent instrumental analysis.

The invention relates to a method for recovering organic molecules (10) from a complex matrix (20) said method (100) comprising the steps of: Providing (110) the complex matrix (20); Contacting (120) the complex matrix (20) with biogenic nanoparticles (30), for an adsorption of the organic molecules (10) on biogenic nanoparticles (30); Separating (140) biogenic nanoparticles enriched (35) with the organic molecules (10) from a depleted complex matrix (22); and Using (150) the organic molecules (10) that were adsorbed to the biogenic nanoparticles (30) in a chemical process or in a chemical device.

The invention discloses a rapid detection method for domoic acid based on a carbon nanotube and an aptamer, and belongs to the field of domoic acid detection.The rapid detection method comprises the steps that the amino-modified aptamer is covalently fixed to the surface of the single-walled carbon nanotube in an orientation controllable mode through carboxyl activation-amide bonding, and an integrated conductive sensing element is constructed; after the element is in contact with a sample to be detected, domoic acid is specifically combined with the aptamer to cause instantaneous change of conductance of the carbon nano tube, and a result is read by the micro-bridge circuit and output within 1 minute. The method does not need pretreatment, large-scale instruments and cold chain storage, has strong anti-interference capability on complex matrixes, has a detection limit of 0.02 ng mL and has relative standard deviation of lt; therefore, on-site high-sensitivity rapid screening of domoic acid is realized.

The invention provides a molecularly imprinted material PtCo-MIP for kynurenine detection, a preparation method, application and a product, and belongs to the technical field of analytical chemistry. According to the invention, PtCo alloy is combined with a molecular imprinting technology; wherein the PtCo alloy has more excellent oxidase-like activity compared with Pt nanoparticles, and the molecular imprinting technology solves the problem of insufficient specific detection of a target factor by nano-enzyme by forming a cavity complementary with a kynurenine structure on the surface of the PtCo alloy, so that efficient and safe kynurenine specific recognition is realized, and the detection sensitivity is improved. And the blank of low-cost and high-specificity detection technology in objective diagnosis of depression is filled. The kynurenine detection kit has an extremely wide detection range on kynurenine, and the detection range and the sensitivity are far better than those of an existing commercial kit; meanwhile, the anti-interference capability is excellent, accurate detection can be performed even in a complex matrix, the detection performance is excellent, and an accurate biological basis is provided for early diagnosis of depression.

The invention discloses five food-borne pathogenic bacteria LAMP method high-throughput detection primer groups, a kit and application, and belongs to the technical field of food-borne pathogenic bacteria detection. The primer group corresponds to five bacteria, namely salmonella, vibrio parahaemolyticus, listeria monocytogenes, escherichia coli O157: H7 and staphylococcus aureus, and the nucleotide sequences of the primers are SEQ ID No.1-30. A matched system can complete the whole-process detection at the constant temperature of 62 DEG C for 45 minutes, the result does not need a complicated instrument, the positive grey and negative purple are judged by naked eyes, and the operation is simple and convenient; the detection sensitivity reaches 1-75 copies / reaction, an artificially polluted aquatic product sample does not need to be subjected to enrichment and is subjected to simple splitting decomposition and enrichment, the specificity is high, and no cross reaction exists; the anti-interference capability is outstanding, the method adapts to complex matrixes of aquatic products, and the detection coincidence rate is high; the device is simple in structure and low in cost, only needs a conventional constant temperature device, is suitable for basic food, agriculture, disease control, customs and other detection institutions, food enterprises, on-site law enforcement and on-site detection and other scenes, and provides an efficient and economic technical means for aquatic product safety management and control.

The invention provides a preparation method of a chip for quantitative detection of acyl carnitine in a high-coverage and high-sensitivity clinical sample. The preparation method comprises the following steps: A) preparing a silicon nanowire material; b) performing in-situ reduction modification on the gold nanoparticles by the silicon nanowire material to obtain an Au-SiNWs material; and C) carrying out a self-assembly reaction to prepare the Sulfo-Au-SiNWs material. According to the method, the ionization efficiency is enhanced through the synergistic effect of the introduced surface sulfonic acid groups and the gold nanoparticles, and the signal response of AC in a high-salt complex matrix is effectively improved. In the aspect of quantification, the innovatively designed full-spectrum internal standard method for perdeuterated ethanol derivatization avoids peak overlapping by utilizing isotope quality difference, breaks through the traditional quantification mode depending on a few standard substances, realizes high-coverage and high-accuracy quantitative analysis on AC in a clinical sample for the first time, and remarkably improves the universality and clinical operability of the method.

The invention discloses a method for detecting the content of elements in alloy or ore by using an ICP emission spectrometer, and belongs to the technical field of spectral analysis. The invention solves the problems of inaccurate measurement result caused by easy ionization element interference and spectral background drift when the existing ICP spectrometry is used for analyzing a complex matrix sample, and the problems of complicated process and low efficiency of the traditional chemical analysis method, and provides a dynamic internal standard introduction technology and combination of low ionization energy and high ionization energy internal standard elements. According to the method, the matrix effect and spectrum background interference can be corrected in real time, the detection accuracy and stability are remarkably improved, meanwhile, through real-time quality monitoring and pre-training of an interference correction model, the detection efficiency and reliability are improved, powerful technical support is provided for high-precision detection of the content of elements in alloy and ore, and finally, the method has good application prospects. The element content is calculated by comparing the corrected net strength of the to-be-detected element with the pre-established standard curve, so that the accuracy and the reliability of a detection result can be remarkably improved.

The present application relates to a kind of methods for separating microplastics in food or environment based on sustainable magnetic nanoparticles, the method for separating microplastics in food or environment based on sustainable magnetic nanoparticles, comprising the following steps: Fe3O4@OA magnetic nanoparticles are added to the food sample solution or environmental sample solution containing microplastics, after ultrasonic mixing, magnetic separation treatment is carried out, and the magnetic separation time is not less than 5 min;Wherein, the ratio of the amount of Fe3O4@OA magnetic nanoparticles and the mass of microplastics is not less than 4, and in Fe3O4@OA magnetic nanoparticles, at least 3.5 μL oleic acid is modified per gram Fe3O4.The method has the advantages of simple adsorption separation process, low energy consumption, low cost, high separation efficiency, fast separation speed, can be applied to a variety of complex matrixes, etc.

The application discloses an NPU native Bartlett beam forming method for MIMO radar and belongs to the technical field of radar signal processing.The baseband echo data of the MIMO radar is constructed as a four-dimensional input real number tensor, and a Bartlett steering vector is constructed as a six-dimensional weight real number tensor, which are both stored in an interlaced format of real and imaginary parts; based on an NPU parallel multiply-accumulate array and a vector processing unit, equivalent complex matrix multiplication operation and element-by-element square and scaling operation are performed in a real number domain to obtain a four-dimensional output real number tensor with real and imaginary parts in the same sequence; after inverse transformation to restore the array structure, coherent accumulation is performed along a preset beam pointing dimension to output a power spectrum vector of K beam channels, and target azimuth estimation is realized by searching for a power spectrum peak value.The application deeply couples the NPU architecture characteristics and the essence of the Bartlett algorithm, reduces the processing delay by one order of magnitude, significantly improves the real-time performance and energy efficiency ratio while retaining the complete angle resolution and anti-interference performance, and is suitable for edge-side deployment in a resource-limited environment.

A matrix product calculator performs: in calculation of a matrix product using a first complex matrix, a second complex matrix, and a third complex matrix, separating a complex number included in the second complex matrix into a real part and an imaginary part, loading the real part and the imaginary part of the complex number into a plurality of calculator elements, performing first multiplication that multiplies the first complex matrix and the real part of the second complex matrix, and adding the third complex matrix to a result of the first multiplication, swapping the imaginary part with the real part in each complex number of the first complex matrix, and performing second multiplication that multiplies the imaginary part of the second complex matrix and the first complex matrix with the swapped parts, and adding the third complex matrix to a result of the second multiplication.

The invention relates to the technical field of analytical chemistry, in particular to a method for optimizing detection conditions of a multi-target additive in a complex matrix, which comprises the following steps: initializing the detection conditions of the detection of the multi-target additive in the complex matrix, analyzing a complex matrix sample, collecting chromatographic / mass spectrometric data, and extracting characteristic parameters of the chromatographic / mass spectrometric data; constructing a quantitative relation model between the key modeling parameters and each performance index Y, training a deep Q network through an active learning algorithm based on the quantitative relation model and a multi-target reward function, and obtaining optimized key modeling parameters through the trained deep Q network; the optimized key modeling parameters are fed back to a detection system, and the detection conditions of the gas chromatograph or the gas chromatograph-mass spectrometer are adjusted in real time. According to the method, real-time collaborative optimization and self-adaptive optimization of multiple detection conditions can be realized, and the detection efficiency, accuracy and robustness of multi-target additive detection in a complex matrix are improved.

This invention discloses a bimetallic SERS nanoprobe based on a "bioquiescent" region, its preparation method, and its applications. The sensor uses AuNS@4-MBN@Ag-aptamer as the nanoprobe and Fe3O4@AuNPs-cDNA (FA-cDNA) as the magnetic substrate. In this sensor, FA-cDNA and AuNS@4-MBN@Ag-aptamer form a magnetic complex, FA-cDNA-aptamer-AuNS@4-MBN@Ag, through base complementarity pairing. The SERS sensor established using this bimetallic nanoprobe in a "bioquiescent" region has significant practical application value in the detection of trace CPF in complex matrix environments.

The invention discloses a quantitative analysis method suitable for black sesame melanin in a complex matrix sample, and belongs to the technical field of food quality control and chemical analysis. According to the invention, black sesame melanin is subjected to oxidative cracking, so that four characteristic degradation products, namely 2-oxo-2, 3-dihydrobenzo [d] oxazole-6, 7-dicarboxylic acid, 4-hydroxyphthalic acid, 3-methoxy-4-hydroxyphthalic acid and 4-hydroxy-5-methoxyphthalic acid, are confirmed for the first time. The invention expands the new application of the four chemical components in the quantitative analysis of the black sesame melanin, and also develops a quantitative analysis method of the black sesame melanin. The method is accurate and good in repeatability, solves the problems that a traditional quantitative method is large in matrix interference and insufficient in specificity, can be applied to a complex food matrix system, and has good application prospects and value in the technical fields of food quality control and chemical analysis.

The invention belongs to the technical field of functional materials, and relates to a metal-covalent organic framework material, a preparation method and application of the metal-covalent organic framework material in enrichment of perfluoro and polyfluoroalkyl compounds in solid-phase extraction. According to the MCOF material, an amino monomer, a dialdehyde pyridine monomer and 2, 3, 5, 6-tetrafluoroterephthalaldehyde are subjected to a Schiff base condensation reaction to construct a covalent organic framework main body; the bidentate coordination unit on the covalent organic framework main body is complexed with metal ions through a metal-organic coordination effect. The material has a high specific surface area and a proper aperture structure, and is rich in fluorine affinity sites, hydrogen bond sites and Lewis acid sites; the polymer has good affinity to various short-chain and long-chain anionic PFASs, and can efficiently enrich trace PFASs in a complex matrix as a solid-phase extraction adsorbent; a test method based on the material is combined with UHPLC-MS / MS (Ultra High Performance Liquid Chromatography-Mass Spectrometry / Mass Spectrometry) to complete rapid and sensitive simultaneous detection of multiple components, and has the characteristics of wide linear range, high precision and good cycle stability.

This invention belongs to the technical field of battery material analysis, and discloses a sample digestion method for determining the titanium content in carbon-coated lithium iron phosphate and a method for determining the titanium content therein. The sample digestion method provided by this invention uses concentrated sulfuric acid, perchloric acid, and ammonium sulfate as the first digestion reagents. The carbon-degradation-oxidation-decomposition of carbon-coated lithium iron phosphate is achieved at a high temperature of 200℃~350℃. Concentrated hydrochloric acid is used as the second digestion reagent to achieve complexation-stabilization of titanium ions, thereby achieving complete digestion of carbon-coated lithium iron phosphate. This yields a clear, transparent digestion solution with stable titanium ions, which can be directly used for quantitative analysis of titanium. This method has the advantages of simple operation, short processing time, and high processing efficiency, and has excellent application prospects for accurate and industrialized batch detection of titanium content in this complex matrix battery material, carbon-coated lithium iron phosphate.

The present application relates to a kind of extractant and its application in the extraction of metal in complex matrix, it is related to the field of chemical separation, by weight parts, the extractant includes the following components: glycine hydrochloride aqueous solution 5~10 parts, extraction aid 0.01~0.1 parts and organic acid aqueous solution 2~5 parts;Wherein, the extraction aid is cyclodextrin and ammonium citrate salt as raw material and obtained by low temperature plasma treatment.The extractant provided by the present application is compounded by using specific proportion of glycine hydrochloride aqueous solution, specific extraction aid and organic acid aqueous solution, which can extract multiple metals in complex matrix simultaneously, has the characteristics of strong universality, high extraction rate, mild and harmless extraction system components, simple and efficient extraction operation, etc., provides a new means for complex matrix sample detection pretreatment, and has wide practical application value.

This invention relates to the field of environmental analysis and testing technology. Addressing the problems of limited specific surface area, uneven mass transfer during stirring, and low desorption efficiency in existing membrane or tubular enrichers, it provides a rapid enricher using a stirred silicone rubber filament bundle. This enricher consists of 2-300 silicone rubber filaments bound into a bundle by a fixed head, connected to an electric drill via a connecting rod, and can be rotated and stirred in water samples at 100-3000 rpm. After enrichment, the bundle is placed in a thermal desorption container, where organic matter is desorbed by heating and then detected by ion mobility spectrometry along with the carrier gas. Compared to membrane / tubular structures, the filament bundle has a larger specific surface area, stronger turbulence during stirring, and effectively improved enrichment efficiency. Furthermore, the filament bundle is flexible and not easily broken, making it suitable for rapid on-site detection of complex matrix water and air samples.