34 results about "Destructive sampling" patented technology

The invention discloses a method for detecting the water absorption rate of silicone rubber by combining near infrared spectroscopy with CPO-SVM, and belongs to the technical field of detection of high- The invention aims to solve the problems of destructive sampling, complex operation, sensitivity interference, strong subjectivity of indirect evaluation and the like in the traditional detection method. The method comprises the following steps: firstly, obtaining a composite insulator silicone rubber sample, and collecting near infrared spectrum data of the composite insulator silicone rubber sample; then, carrying out standard normal variable transformation pretreatment on the spectroscopic data to eliminate interference caused by physical property difference on the surface of the sample; then, accurately extracting a key wavelength from the high-dimensional spectral data by using a competitive self-adaptive reweighting algorithm; and finally, establishing a support vector machine model optimized by a crown porcupine optimization algorithm, and carrying out quantitative analysis on the water absorption rate of the silicone rubber. According to the method, rapid, accurate and nondestructive detection of the water absorption rate of the silicone rubber is realized, real-time and reliable data support is provided for operation and maintenance of a high-voltage insulating material, safe and stable operation of a power grid is effectively guaranteed, and the method has a wide application prospect.

The application relates to an intelligent control method and system of high-pressure atomization irrigation and a storage medium thereof, and aims to solve the problem that traditional water and fertilizer management of high-value crops cannot realize real-time sensing of internal physiological states of crops, leading to inconsistent quality. The intelligent control method divides an irrigation area into multiple management partitions, randomly selects a plurality of sacrifice samples in each management partition, destructively samples the sacrifice samples, obtains true value data of crops through physiological and biochemical detection, establishes and dynamically updates an irrigation rule library based on the true value data, generates variable control instructions for each management partition in combination with real-time environmental data, and finally controls a high-pressure atomization sprinkler irrigation system to accurately execute. The application also provides a system and a storage medium for realizing the method, realizes accurate regulation and control starting from the real demand of crops, effectively improves the consistency of crop quality and the resource utilization efficiency, and has self-learning and predictive prevention and control capabilities.

This invention provides an Indel molecular marker closely related to the soluble sugar content of pepper fruit and its application, belonging to the technical field of nucleic acid-based assay methods. The nucleotide sequence of the Indel molecular marker is shown in SEQ ID NO.1 of the sequence listing; the Indel molecular marker is located at positions 5274716-5274727 of the full-length sequence of chromosome 3 of the pepper reference genome. Primers for amplifying the Indel molecular marker include a forward primer and a reverse primer. The nucleotide sequence of the forward primer is shown in SEQ ID NO.2 of the sequence listing, and the nucleotide sequence of the reverse primer is shown in SEQ ID NO.3 of the sequence listing. This molecular marker can be directly applied in early generations of breeding, avoiding the destructive sampling of chemical detection, significantly reducing breeding costs, effectively shortening the breeding cycle, and greatly improving the selection efficiency of molecular marker-assisted breeding in peppers.

This disclosure provides automated, high-throughput methods and systems for generating microspore-derived doubled haploid structures, plantlets, and crop plants, and progeny thereof. Methods of integrating computer vision and artificial intelligence into a variety of steps including microspore selection, culture, sorting, and genotyping are disclosed. Multiplexed genome-editing of microspores through cargo delivery, non-destructive sampling, and genotyping are also described.

The present application belongs to the field of ham processing, and mainly relates to a ham segmentation temperature and humidity control curing method. In view of the problem that the existing ham curing process excessively relies on manual experience for grouping, sampling inspection and stage switching judgment, resulting in insufficient automation, lagging internal state recognition and difficulty in matching the environment regulation and individual state, a ham curing state recognition mechanism and a segmentation switching judgment mechanism are established to evaluate the mass transfer state of different hams in the curing process, and the curing environment parameters are dynamically corrected in combination with the hanging position disturbance, so as to continuously generate control parameters suitable for the current state. The method can recognize the internal mass transfer state of the ham without relying on destructive sampling inspection, realize the dynamic switching of the curing stage and the rolling adjustment of the temperature and humidity control parameters, so as to improve the automation degree and stability of the ham curing process.

This invention discloses a non-destructive sampling method for studying the interaction between AM fungi and mycelial bacteria. Step 1: Sterilized culture medium is filled into the root chamber and the mycelial growth chamber, and the outer end of the mycelial growth chamber is sealed; the inner end of the mycelial growth chamber is connected to the root chamber. Step 2: Corn seeds are planted in the culture medium in the root chamber, and AM fungal spores are added to the root chamber while simultaneously cultivating them using nutrient solution and water. Step 3: Collection is performed, consisting of collecting pure mycelia and collecting fresh soil affected by pure AM fungal mycelia. This invention uses non-destructive sampling under pot conditions to collect pure, uncontaminated AM fungal mycelia and mycelial soil affected by AM fungi for scientific research on mycelial interactions.

The invention provides a biosensor for detecting nitrate content as well as a preparation method and application thereof, and relates to the technical field of biology. The biosensor disclosed by the invention comprises a luciferase amino terminal fragment, a luciferase carboxyl terminal fragment and NasR protein, the luciferase amino terminal fragment and the luciferase carboxyl terminal fragment are two fragments of the same luciferase. The biosensor provided by the invention has high selectivity on nitrate, can specifically, stably, continuously and online observe the nitrate content in the whole plant for a long time, and overcomes the key problems of destructive sampling, limited spatial resolution, insufficient detection sensitivity and the like in the traditional method; and a real-time dynamic detection platform capable of monitoring the whole plant living body is provided for plant nitrogen metabolism research.

The invention discloses a method for measuring carbon reserve of celery more accurately and simply, and belongs to the technical field of agricultural ecological carbon sink measurement. The method comprises the following steps: firstly, collecting a celery sample in a quadrat, measuring plant height, stem diameter and relative chlorophyll content (SPAD value), then obtaining the fresh weight of an overground part through destructive sampling, and constructing a three-parameter fresh weight prediction model containing H, Dand SPAD by utilizing multiple regression; secondly, performing non-destructive field measurement in a to-be-measured area to obtain plant heights, stem diameters and SPAD values of a large number of samples, and substituting the plant heights, the stem diameters and the SPAD values into the model to calculate the predicted fresh weight of a single plant; and finally, combining the planting density and the carbon content conversion coefficient to calculate the carbon reserve of the celery in unit area. According to the method, the defects that a traditional drying method is high in destructiveness and long in period are overcome, the model prediction precision is remarkably improved by introducing SPAD physiological indexes, rapid, in-situ and low-cost measurement of the celery carbon reserves is achieved, the relative error can be controlled within 5%, and the method is suitable for accurate accounting of farmland carbon sequestration.

The invention provides a method for determining fracture toughness of a metal material by calculating an energy release rate based on a micro sample, and relates to the technical field of performance detection of in-service pressure containers and pipeline parts. According to the method, a small punching test is combined with an energy release rate formula, finite element simulation is avoided, two small wafer samples with different notch lengths are prepared, test loads and punch displacement data are collected, small punching energy is calculated, and then the fracture toughness is obtained. Three-point bending test results are accurately associated, and the reliability of the method is verified. Approximate lossless sampling is achieved, operation is simple, cost is low, and reliable data support is provided for safety assessment of in-service equipment.

The invention discloses a dynamic nondestructive testing device and method for the thermal expansion coefficient of a diamond wafer, and solves the problems of single expansion measurement direction, sampling destruction, high cost, even inapplicability and the like in the traditional thermal expansion coefficient test. The testing device comprises an axial laser displacement sensor, a radial laser displacement sensor and a heating bin, a heating mechanism and a rotating mechanism are arranged in the heating bin, the rotating mechanism is provided with a supporting platform used for bearing a diamond wafer to be tested, the upper portion of the heating bin is provided with a thickness direction observation window, and the side portion of the heating bin is provided with a lateral observation window. The axial laser displacement sensor corresponds to the thickness direction observation window, the radial laser displacement sensor corresponds to the lateral observation window, and the heating bin is further connected with a gas protection mechanism. According to the invention, thermal expansion coefficients in different directions can be tested separately; the thermal expansion coefficient of the diamond wafers of different sizes and specifications can be measured in a lossless and low-cost mode, and meanwhile the problems that the measurement expansion direction is single, and the size has special requirements are solved.

This invention discloses a sampling and observation device and operating method for preliminary judgment of the natural resin formation of agarwood, relating to the field of guiding mechanism technology. It includes a main body, a sampling structure at one end of the main body, a pushing component at the end of the sampling structure away from the main body, and a sampling channel at the axis of the sampling structure. One end of the sampling channel is connected to the main body. The sampling structure includes a sampling component and a gripping part for sampling agarwood. The pushing component includes a pushing part, the outer diameter of which is the same as the inner diameter of the sampling channel. The sampling component allows for minimally invasive sampling of the agarwood tree, avoiding destructive sampling methods such as cutting down trees or drilling holes. Only a small incision needs to be made in the tree to obtain samples from inside the trunk. Furthermore, because agarwood is relatively viscous, the pushing part can push the sample inside the sampling channel into the main body, preventing the agarwood from clogging the sampling channel.

The application discloses a kind of geotechnical survey system and porosity measurement method and saturation measurement method, and geotechnical survey system includes: at least one heating structure, first position is installed at inside of geotechnical sample;First temperature measuring structure, first position is installed at inside of the geotechnical sample or second position is installed at inside of the geotechnical sample;Data processing device, with the heating structure and the first temperature measuring structure electric connection can be according to the heating time and heating power of the heating structure and the temperature change analysis and processing of the installation place of the first temperature measuring structure obtain the parameter to be measured of the geotechnical sample.The application is analyzed and processed according to the thermal response characteristics of geotechnical sample, and the porosity and saturation of geotechnical sample can be obtained, and formation can be directly measured in field or downhole, without destructive sampling or coring, so that artificial disturbance and error possibly introduced in sample preparation process can be avoided.

The utility model belongs to the technical field of non-standard detection devices, and provides a steel ball detection mechanism, which comprises a fixed part, a fixed part and a detection mechanism, the detection rod is movably arranged at one end of the fixing piece in the axis direction of the detection rod, one end of the detection rod is movably inserted into the fixing piece in a penetrating mode, and the installation position, used for installing the steel ball, on the workpiece is located on the moving path of the detection rod. Compared with the prior art, by arranging the fixing piece with the feeding state and the fixing state and the detection rod capable of moving in the axial direction and combining the design of the two moving states of the detection rod, whether pressure leakage happens to the steel ball or not and whether the binding force between the steel ball and an installation position reaches the standard or not can be automatically judged; compared with a traditional mode depending on manual visual inspection and destructive sampling inspection, the scheme has the advantages that the detection efficiency and the detection precision are remarkably improved, meanwhile, non-destructive full-number detection is realized, and the product quality control level is improved.

The application discloses a layered sampling monitoring device and method for freeze-thaw cycle test, which comprises a freeze-thaw cycle box, a layered soil sample culture unit, an in-situ monitoring unit and a non-destructive sampling unit. The application provides a layered sampling monitoring device and test method for freeze-thaw cycle test, which has a reasonable structure design and is convenient to operate. The device can realize non-destructive or slightly destructive extraction of target soil samples after different freeze-thaw cycles without damaging the continuity of the whole test, and can realize real-time monitoring of the moisture content and temperature changes of the soil samples in the freezing and thawing process, thereby providing accurate and continuous test data for in-depth study of the evolution law of the freeze-thaw cycle on the soil properties. The device and method of the application significantly improve the continuity and accuracy of the data, and provide a powerful tool for revealing the effect of freeze-thaw on the soil erosion mechanism.

This invention provides an effective evaluation method for the dynamic repair effect of microbial self-healing concrete, relating to the field of intelligent building material performance monitoring technology. An effective evaluation system for the dynamic repair effect of microbial self-healing concrete includes a monitoring unit, a time-series image acquisition unit, a data acquisition and transmission unit, and a dynamic repair analysis platform. The monitoring unit is a multimodal sensor array embedded inside the concrete specimen. The sensor array components include distributed fiber optic strain sensors, embedded micro-stress sensors, temperature and humidity sensors, pH sensors, and electrochemical impedance spectroscopy probes. Through non-destructive, automated dynamic time-series monitoring of concrete, and by integrating multi-source parameters to construct a multi-dimensional evaluation system, this method avoids the shortcomings of traditional static testing, destructive sampling, single evaluation methods, and human error. It accurately quantifies the repair performance of microbial concrete, resulting in highly reliable evaluation results.

The invention discloses a special inspection device for turbonator rotor forgings and a use method thereof, and relates to the technical field of turbonator rotor forgings machining.The special inspection device comprises a transverse plate, a fixing block is fixedly connected to the center of the bottom of the transverse plate, a vertical plate is fixedly connected to the bottom of the fixing block, and a through groove is formed in the position, close to the bottom, of an inner cavity of the vertical plate; by means of mutual cooperation of the transverse plate, the eddy current detector, the motor, the pump machine and other structures, the device can not only conduct destructive sampling on the rotor forge piece, but also conduct non-destructive sampling on the rotor forge piece, and during non-destructive sampling, the sampling efficiency is greatly improved. The non-flannelette is placed in the second cavity in the fixing block, the second valve is rotated, the industrial alcohol in the first cavity in the fixing block enters the first cavity and wets the non-flannelette in the first cavity, and after the non-flannelette is wetted, the second valve is closed.

The invention discloses a method for judging the percentage elongation after fracture of TP347H austenitic heat-resistant steel based on magnetic detection. The method comprises the following steps: establishing a corresponding relation between saturation magnetization Ms detection of the austenitic heat-resistant steel and the content of a precipitated phase; respectively preprocessing the service pipe and the new pipe, and then detecting the relative permeability; establishing a corresponding relation between the relative permeability and the saturation magnetization Ms; and calculating the percentage elongation after fracture based on the relative permeability, and judging the service standard of the steel pipe according to the relative permeability. According to the method, the relative permeability of the austenitic heat-resistant steel after service is detected, and whether the elongation of the austenitic heat-resistant steel after fracture meets the standard or not can be judged according to the numerical distribution characteristics and the numerical value of the detection result. The method does not need destructive sampling or surface treatment on the sample, can keep the integrity of the austenitic heat-resistant steel, has the characteristics of low cost, simplicity and rapidness in operation and high precision, and can obviously improve the detection efficiency.

This application discloses a molecular marker linked to pepper pericarp thickness and its application. The molecular marker comprises a nucleotide sequence formed by an InDel mutation at nucleotide position 30027941 on chromosome 4 of the pepper genome. This molecular marker effectively addresses the shortcomings of conventional breeding methods, including the need for destructive sampling to determine pericarp thickness at fruit maturity, the significant variability in measurement results due to the influence of planting and management factors on pericarp thickness, and the inability to effectively distinguish between heterozygous and homozygous states at the target locus. This molecular marker effectively solves these problems, allowing for accurate and efficient prediction of pericarp thickness during the pepper seedling stage. This reduces the planting scale of breeding materials, lessens the workload of later phenotypic identification, facilitates rapid screening for superior target plants, accelerates the breeding process, and significantly improves breeding efficiency.

The invention provides an arabidopsis thaliana root system alternating current impedance detection system and method based on a micro-fluidic chip, and relates to the technical field of alternating current impedance measurement. The system comprises a micro-fluidic chip, an AD5933 detection module, a single chip microcomputer and an upper computer. The micro-fluidic chip is formed by bonding a PDMS layer and a glass substrate, a channel for growth of an arabidopsis thaliana root system is arranged in the micro-fluidic chip, and a detection electrode is integrated on the substrate. Arabidopsis thaliana seeds are cultured in a chip channel, after root systems of the seeds grow to cover electrodes, an AD5933 module is used for applying small-amplitude alternating current signals and measuring root system impedance, and data are uploaded to an upper computer through a single-chip microcomputer to be processed. The method realizes in-situ, non-destructive and low-cost electrical property detection of the living arabidopsis thaliana root system, overcomes the limitation of traditional destructive sampling, can be combined with an optical microscope for synchronous morphological observation, and provides an efficient technical means for plant physiology research.

This application relates to the fields of micro-destructive testing of living trees and wood performance testing, and particularly to a micro-destructive sampling method for living trees and a rapid prediction method for wood performance. The micro-destructive sampling method for living trees includes: selecting a defect-free, healthy trunk area at a first preset height above the ground of the living tree as the sampling area; peeling off the bark of the sampling area using a woodworking chisel and marking the sampling area to obtain a marked area; cutting along the boundary of the marked area to a preset depth to form a rectangular window-shaped cutting slit of preset length × preset width, cooling the area by spraying distilled water during the cutting process; prying open a notch on the side of the rectangular window to obtain a cuboid wood block containing several complete growth rings from the bark inwards; placing the removed cuboid wood block into a sealed bag, adding distilled water to the sealed bag to keep the surface of the wood block moist, sealing it, and storing it in an environment within a preset temperature range.

The utility model provides a prebaked anode roasting detection tool, and relates to the technical field of prebaked anode preparation. The prebaked anode roasting detection tool comprises a box body, wherein the box body is filled with metallurgical scorched particles for pre-embedding a sample. And the material of the box body is the same as that of the roasted prebaked anode. By using the tool, not only is the problem that the sample is easy to lose solved, but also destructive sampling on the anode is not needed during detection, so that the detection cost is greatly reduced.

The application discloses a kind of high-efficiency leaf area estimation methods based on deep learning, for the destructive sampling time-consuming of traditional leaf area measurement method exists, traditional computer vision technology is susceptible to environmental interference and proposes new solution.Method constructs self-supervised pre-training framework based on DINOv2 architecture, realizes model efficient adaptation in combination with two-stage transfer learning strategy;Develop Canopy-Mix token-level mixed enhancement technology, improve the robustness of model to complex occlusion scene by dynamically fusing multiple canopy images;Design the mixed optimization strategy of smooth L1 loss and Log-Cosh loss, balance prediction bias and abnormal value sensitivity.The method shortens the processing time of single plant, can complete batch processing, and the correlation between the prediction result and leaf fresh weight and dry weight is high.The application provides an efficient and accurate non-destructive detection tool for seedling stage crop breeding phenotype analysis, early diagnosis of nutrition and cultivation management.

The present application relates to the field of remote sensing geological exploration, and particularly relates to a kind of carbonate mineral isotope intelligent analysis method based on multispectral data, the present application is first to multi-source multispectral data is standardized pretreatment and interference mask removal, calculate multidimensional spectral index and construct spectral feature dataset;Again adopt random forest and U-Net multi-model fusion, realize the accurate identification and spatial distribution extraction of carbonate mineral;Subsequently through multi-time series, multi-source multi-scale data collaborative analysis, optimize mineral identification result, distinguish primary and hydrothermal alteration carbonate mineral;Finally through the mineral information extraction of multi-method fusion and gradient boosting decision tree inversion model, realize the high-precision quantitative inversion of carbonate mineral carbon, oxygen isotope and result visualization.The present application can realize the rapid, non-destructive, intelligent analysis of regional scale carbonate mineral isotope without destructive sampling, and is suitable for regional geological mapping, metal mineral exploration, oil and gas reservoir evaluation and other fields.

The invention relates to the technical field of food detection sampling, and discloses a food detection sampling device and a sampling method.The device comprises a conveyor and a sampling mechanism, and the sampling mechanism is arranged on the conveyor and used for detecting and sampling canned food conveyed by the conveyor; a sampling pipe is inserted and mounted in the sleeve, the sampling mechanism comprises a telescopic push rod used for driving the sampling pipe to ascend and descend, a needle tube head used for detecting and sampling is arranged at the bottom of the sampling pipe, and the sampling pipe can ascend and descend in the sleeve so as to perform multiple times of detection and sampling on different depths in the canned food. Through lossless sampling, the buffer mechanism is arranged to be in flexible contact with the tank body, so that the tank body is thoroughly prevented from being crushed; the depth is flexible and controllable, the sampling pipe is freely lifted and adjusted, and samples with different depths in the tank, such as a surface layer, a middle layer and a bottom layer, are accurately obtained; through buffer protection, depth-adjustable sampling and production line integration, efficient stratified sampling is realized on the premise of guaranteeing the integrity of the tank body.

This invention discloses an early detection method for microbial corrosion in concrete of coastal nuclear power plants based on two-dimensional correlation spectroscopy, belonging to the field of nuclear power engineering structural durability testing technology. Distinguishing itself from traditional destructive and delayed detection methods, this invention pioneers an early diagnostic system based on spectral dynamic fingerprinting. Its core technology lies in: acquiring concrete surface information through micro-destructive sampling, using 2D-COS to detect and analyze time-series ultraviolet-visible spectra, sensitively capturing the characteristic "spectral fingerprint" of initial microbial metabolism, and resolving the generation sequence of corrosion products through asynchronous spectroscopy. By correlating the spectral characteristic parameters (automatic peak intensity at characteristic wavelengths) characterizing microbial activity with the degree of concrete microstructural degradation, a quantitative prediction model is established between this model and the macroscopic engineering indicator—the chloride ion migration coefficient (DRCM), achieving a leap from biological phenomena to precise engineering data.

The application provides a LAS system ultralow expansion microcrystalline glass thermal expansion coefficient ultrasonic detection method, which comprises the following steps: performing CTE-longitudinal wave sound velocity theoretical relationship analysis and deduction, establishing a theoretical relationship between CTE and longitudinal wave sound velocity, designing LAS system ultralow expansion microcrystalline glass samples, measuring the longitudinal wave sound velocity of the samples, obtaining the longitudinal wave sound velocity value, calibrating the CTE of the samples, obtaining the CTE calibration value, establishing a CTE-longitudinal wave sound velocity experimental relationship model based on the theoretical relationship between CTE and longitudinal wave sound velocity, the longitudinal wave sound velocity value and the CTE calibration value, and realizing full-caliber ultrasonic detection of CTE. The application realizes full-caliber nondestructive detection of the thermal expansion coefficient of LAS system ultralow expansion microcrystalline glass, breaks through the limitation that traditional top rod type measurement must be destructive sampling, does not need temperature changing operation, can inversely calculate the average CTE in a wide temperature range by using room temperature sound velocity, has high detection efficiency and low cost, and provides technical support for uniformity control in the preparation process of large-size materials.

The utility model relates to the technical field of rice hybridization, and particularly discloses a rice hybrid seedling root phenotype observation device, according to the scheme, external stray light interference is isolated by utilizing a shading cylinder, meanwhile, a plurality of groups of observation mechanisms on the side wall of the observation cylinder perform multi-angle synchronous imaging on a root, and a spraying mechanism performs regular and directional spraying to maintain a root growth environment. The continuous dynamic observation of the root system of the rice seedling is realized under the non-destructive condition, the data fault caused by the traditional destructive sampling is avoided, and meanwhile, the integrity of the phenotypic data of the root system and the authenticity of growth simulation are improved through the synergistic effect of multi-angle imaging and precise irrigation.

The present application relates to the technical field of quality detection, and particularly relates to an aerosolized powder sphericity multidimensional online analysis system and method thereof, which comprises a dynamic double-mode imaging module, a transverse wind field auxiliary detection unit and a multidimensional feature fusion analysis module, the transverse wind field auxiliary detection unit is used for applying controllable transverse wind force through airflow nozzles orthogonal to the falling direction of the powder, and combining with a laser displacement sensor to measure the deflection trajectory of aerosolized powder spherical particles; and the present application further comprises an online calibration module, which is used for spraying standardized spherical particles to the powder flow at a preset period; compared with the traditional density detection which relies on destructive sampling and offline measurement, the present application has low efficiency and cannot cover all the particles on the production line; through the orthogonal wind field trajectory inversion technology, the present application synchronously outputs the density value and internal defect mark through non-contact dynamic measurement, realizes 100% nondestructive online full detection on the production line, and breaks through the sampling limitation and time bottleneck of the traditional means.

This invention belongs to the field of high-temperature creep mechanical parameter detection technology for materials. It discloses an interpretable method and system for measuring the mechanical parameters of creep damage in high-temperature alloys. The constructed interpretable feedforward neural network embeds the energy equation and physical correlation model into the network optimization process, overcoming the problems of insufficient generalization ability of single empirical models, nonlinearity in the mapping relationship between laser signals and creep damage, and susceptibility to interference. It clarifies the evolutionary correlation between physical characteristic quantities and creep damage parameters, improving the accuracy and reliability of the measurement. This method does not require destructive sampling, is suitable for high-temperature service environments, provides a feasible path for in-service monitoring of key components of 800H alloy, ensures the safe operation of high-temperature gas-cooled reactors, and has good engineering application prospects.

This invention belongs to the field of in-situ imaging and fluorescence sensing technology for environmental processes, and particularly relates to a method for preparing a fluorescent thin film for in-situ imaging of the spatial distribution of reactive oxygen species (ROS) in sediments or soil. The method includes the following steps: dissolving 2',7''-dichlorodihydrofluorescein diacetate in an organic solvent to prepare a 2',7''-dichlorodihydrofluorescein diacetate stock solution; diluting the 2',7''-dichlorodihydrofluorescein diacetate stock solution with a buffer solution and performing a hydrolysis reaction to obtain a DCFH stock solution containing 2',7''-dichlorodihydrofluorescein; immersing a porous polymer film in the DCFH stock solution and performing saturation fixation under light-protected conditions. This method allows the prepared fluorescent thin film to be directly applied to the environment under test, avoiding destructive sampling and pretreatment of sediment / soil samples. It maximizes the preservation of the original structure and chemical environment of the sample, thereby obtaining more realistic and accurate in-situ ROS distribution information.