441 results about "Sample extraction" patented technology

The invention discloses an industrial innovation knowledge graph dynamic construction method based on a large language model, and belongs to the technical field of data processing. According to the method, multi-source heterogeneous data are integrated, cleaning, format conversion and standardization processing are performed, entities, relationships and attributes are automatically extracted by adopting a large model driven zero sample extraction technology, a high-precision triple library is constructed by combining entity embedding alignment and context anaphora resolution, and a knowledge graph is generated based on a graph database. According to the method, incremental data are captured in real time through a dynamic sensing layer, graph dynamic updating is achieved through an atomization updating mechanism, and data timeliness is guaranteed in combination with timestamps and multi-source verification. According to the method, the knowledge graph construction efficiency and coverage rate are improved, the defects that a traditional method is high in manual dependency degree, long-tail knowledge is missing, updating lags and the like are effectively relieved, and accurate support is provided for technical innovation decision making.

The invention discloses a TFHE-oriented programmable bootstrap hardware implementation system, and the system comprises a vector calculation module which is used for executing an analog-to-digital switching step in a TFHE-oriented programmable bootstrap algorithm on an LWE ciphertext; the rotary register is used for caching and rearranging the LWE ciphertext; the function calculation module is used for executing a blind rotation step in a TFHE-oriented programmable bootstrap algorithm on the rearranged LWE ciphertext and the analog-to-digital switching result to obtain a blind rotation result; the vector calculation module is also used for executing a sample extraction step and a key switching step in a TFHE-oriented programmable bootstrap algorithm on the blind rotation result to obtain a decrypted ciphertext; when the function calculation module executes the blind rotation step, the polynomial in the rearranged LWE ciphertext and the analog-digital switching result is decomposed into a plurality of sub-polynomials through a number theory conversion unit, and the sub-polynomials are subjected to parallel calculation. The method can reduce the use amount of hardware units, and is high in decryption success rate, high in performance and small in area.

The invention discloses an in-situ TEM (Transmission Electron Microscope) device sample preparation method based on a suspended thinning and parallel carrying technology, which can be used for preparing in-situ TEM samples of semiconductor two-end devices and three-end devices, and mainly solves the problems of unstable ohm contact, nonuniform thinning, low success rate and high time cost in the prior art. According to the invention, an FIB sample preparation technology is adopted, and stable and reliable ohmic contact between a sample electrode and an MEMS chip electrode is ensured through specific-angle sample extraction, suspended thinning, parallel carrying, circuit breaking treatment and an accurate electrode welding process. According to the sample prepared by the invention, the failure state of a device can be observed in real time under a transmission electron microscope, the sample has the advantages of high sample preparation success rate, good repeatability, stable electrical parameters and wide applicable chip variety, and the reliability and repeatability of in-situ TEM test data are remarkably improved.

A system for automated extraction of biological samples from a set of biological samples has a small footprint and minimal movement of consumable sets, thereby reducing potential contamination during the extraction process. The extraction system includes a set of reaction tubes, a storage unit for storing a set of consumables, a sample preparation unit, a sample extraction unit, a waste unit, a plurality of robots for moving the tubes, samples, and cassettes, and a programmable control system programmed to process the samples in a serial mode in which a series of samples are processed sequentially in time one after another, thereby maintaining a continuous mode. Thus, a fixed processing turnaround time for each sample is maintained regardless of when the sample starts processing.

The utility model relates to the field of antigen detection kits, and discloses an infectious bovine rhinotracheitis virus antigen detection kit which comprises a box body, a roller is rotatably connected to the bottom side in the box body, a clamping groove is formed in the upper side of the roller, a clamping pin is connected to the clamping groove in a clamping mode, and a placing table is fixedly connected to the upper side of the clamping pin. A plurality of swab placing grooves, an extraction tube placing groove and a detection card placing groove are respectively formed in the upper side of the placing table, the plurality of swab placing grooves, the extraction tube placing groove and the detection card placing groove are distributed in a circumferential array, and sampling swabs are arranged on the inner sides of the plurality of swab placing grooves; according to the utility model, a plurality of groups of sampling swabs, sample extraction tubes and antigen detection cards which are distributed in a circumferential array manner are placed on the placement table, so that when sampling personnel go to cattle for sampling one by one, the sampling personnel can rotate to detection materials such as the next group of antigen detection cards and the like only by pressing down the push rod and switching the angle of the placement table, and the operation is convenient and the use is simple.

The invention relates to the technical field of power transmission engineering, and discloses an unbalanced sample galloping prediction method and system based on meteorological data, and the method comprises the steps: collecting the historical monitoring data of each monitoring point, and synchronously collecting the meteorological information of the corresponding monitoring point; monitoring devices and dates are taken as basic units, one piece of sample data is selected from daily data of each device, non-galloping samples in the sample data are grouped according to line numbers, and only samples corresponding to different spans are reserved in each group; according to line span characteristics, galloping high-incidence time periods and typical weather combinations, differential loss weights are given to sample data, and a weighted cross entropy loss function is constructed; and constructing a daily scale galloping prediction model, and training the model by using a weighted cross entropy loss function to realize daily scale prediction of a galloping event. By constructing a scientific sample extraction strategy, introducing a category weight mechanism and adopting a deep learning classification model, the recognition capability of the model on minority class events is improved.

The invention belongs to the technical field of artificial intelligence, and particularly provides an isolated mature convective cloud cluster dynamic identification system and method fusing satellites and radars, and the system comprises a data processing module which is used for carrying out the preprocessing of obtained wind cloud static meteorological satellite data and radar data; the convective cloud cluster sample extraction module is used for identifying convective cloud cluster samples; the isolated convective cloud cluster sample identification module is used for determining an isolated convective cloud cluster sample; the isolated mature convective cloud cluster sample screening module is used for carrying out mature convective and immature convective discrimination on the isolated convective cloud cluster samples and screening out the isolated mature convective cloud cluster samples; the sample dynamic inspection module is used for obtaining a final isolated mature convective cloud cluster sample; the identification model construction module is used for fusing and verifying satellite features and radar features of the final isolated mature convective cloud cluster sample and establishing an intelligent identification model; according to the technical scheme, full-life-cycle tracking of the isolated mature convection system can be realized.

The utility model discloses an environment-friendly water treatment sample extractor which comprises a sample sampling part, a suction part and a stirring part, the suction part is fixedly arranged on the upper surface of a fixed bottom plate, and the stirring part can automatically stir sediments at the water bottom during water sampling; in order to solve the problems that in the prior art, common water sample sampling equipment can only sample a water body and cannot effectively sample pollution particles deposited at the water bottom when sampling work needing pollutant detection is carried out, a stirring part is designed, the stirring part and a sample sampling part are matched and synchronously used, so that the sampling efficiency is improved, and the sampling efficiency is improved. According to the environment-friendly particle pollutant sampling device, the stirring treatment can be automatically carried out when the environment-friendly particle pollutant sampling device goes deep into the water bottom for sampling, so that pollution particles deposited at the water bottom can be stirred, the particles are fully suspended, the pollution particles are simultaneously sampled during sampling, and the environment-friendly particle pollutant sampling device is particularly suitable for detecting and sampling environment-friendly particle pollutants.

The invention provides a method for detecting fluorine compounds in shrimps, which comprises the following steps: S1, sample preparation: removing shells of to-be-detected shrimps, and crushing and homogenizing muscular tissues of the to-be-detected shrimps to obtain a to-be-detected sample; s2, extraction: extracting a sample to be detected, retaining an organic phase, and concentrating to obtain a concentrated solution; then adding water which is 5-15 times of the concentrated solution for dilution to obtain a to-be-purified solution; the extraction solvent is an aqueous solution of an organic solvent; s3, purification: purifying the to-be-purified liquid by using a solid-phase extraction column to obtain a purified liquid; s4, concentration and constant volume: concentrating the purified liquid to be nearly dry, redissolving, and filtering to obtain filtrate; and S5, sample detection: detecting the filtrate by using a liquid chromatograph-mass spectrometer, and carrying out qualitative and quantitative analysis on the fluorine compounds in the prawns by adopting a standard curve method. The method can be used for simultaneously determining the contents of 41 PFASs compounds with different physicochemical properties in shrimps.

The invention provides a knowledge distillation-based model compression method and system, and the method comprises the steps: inheriting a soft label of a maturely trained teacher model, defining a distillation loss function of a student model through the soft label, enabling the student model to be compressed, generating a new sample extension training set through random sample extraction and mixing, and achieving the compression of the student model. The problem of insufficient data is relieved, meanwhile, the robustness of the model to noise and distribution offset is improved, through dynamic weight adjustment, a student model is made to quickly fit teacher model knowledge, autonomous optimization is conducted in the later training period, and over-fitting of soft labels is avoided. On a test set in which the proportion of unlabeled data is 30%, on the basis that the accuracy of using a real label is 78.3%, the accuracy is improved by 11.2% by using a pseudo target, deployment is performed by using a maturely trained student model, middle layer feature alignment is omitted, the occupation of a GPU video memory is reduced from 3.2 GB to 1.8 GB, and the deployment requirement of edge equipment is met.

The invention provides a wheat gene sample automatic extraction device, which comprises an extraction processing box, supporting foot bases, a sealing door, an automatic control panel group, a vibration crushing box, a cooling sealing cover, an insulating handle, a cooling liquid nitrogen tank and an analysis detection box, the supporting foot bases are respectively in bolted connection with four corners of the lower part of the extraction processing box; the sealing door hinge is connected to the lower side of the front part of the extraction processing box; the automatic control panel set is connected to the upper side of the front portion of the extraction processing box through screws. Liquid nitrogen grinding is combined with ceramic grinding beads, and a vibration motor, a supporting tray, a locking screw, a test tube clamping seat and a constraint clamping hole are utilized, so that high-throughput treatment of multiple wheat samples can be realized at the same time, the DNA extraction cost of a single sample is reduced by 60%, and cells are uniformly broken; and the analysis detection box, the detection probe group, the cracking bin, the communicating pipe and the processor are arranged, so that different tissues such as wheat endosperm (high starch) and leaves (high fiber) can be processed.

The invention relates to a method for detecting six second-line antituberculous drugs by high performance liquid chromatography. The method comprises the following steps: providing an internal standard stock solution and a standard stock solution of six second-line antituberculosis drugs; preparing an internal standard working solution and a standard curve working solution by utilizing the diluent; preparing a solution of a product to be detected by using the Tianlongitudinal sample extraction liquid TZ-002; a liquid chromatograph is used for detection, and the conditions are as follows: a mobile phase A is a Tianlongitudinal sample releasing agent TZ-D004; a mobile phase B is acetonitrile; a mobile phase C is water; and gradient elution. According to the method, the plasma concentration of the second-line antituberculous drug taken by a tuberculosis patient is measured by applying the reversed-phase high-performance liquid chromatography, the cost is relatively low, the analysis time is short, the sensitivity is high, and the accuracy is high. The kit can be used for simultaneously detecting the blood concentration of six second-line antituberculosis drugs such as isopropylthioamide, levofloxacin, linezolid, moxifloxacin, deramanib and bedaquiline in human serum, and is expected to provide a more reliable basis for clinicians to adjust the dosage of the antituberculosis drugs.

The utility model provides an automatic powder scraping device and automatic moving equipment, and the automatic powder scraping device comprises a scraper which is arranged on a mounting seat and comprises a transverse blade extending in a first direction and a longitudinal blade extending in a second direction, and the first direction intersects with the second direction; the mounting seat is arranged on one side of the connecting plate and is coupled with the connecting plate; the first pre-pressing mechanism is arranged on the same side of the connecting plate and the mounting base, supports the mounting base in the first direction and provides buffering in the first direction; the second pre-pressing mechanism is arranged on the side, opposite to the mounting base, of the connecting plate, supports the connecting plate in the second direction and provides buffering in the second direction. According to the invention, full-automatic powder scraping can be realized, powder residues are reduced, the transfer rate after powder scraping is improved, and automation of sample extraction and preparation is facilitated.

The invention provides a processing chatter signal feature sample extraction method and a chatter detection method and device, and belongs to the technical field of industrial signal processing, and the method comprises the steps: carrying out the optimization variational mode decomposition of an original processing chatter signal, and obtaining a plurality of IMF signal components; performing fusion index evaluation on the IMF signal components to obtain a quality score of each IMF signal component, and performing screening reconstruction on the IMF signal components according to the quality scores to obtain reconstructed signals; recursive hierarchical decomposition is carried out on the reconstructed signal based on a preset matrix operator to obtain a plurality of hierarchical node components, and singular spectrum entropy feature sample extraction is carried out on the hierarchical node components to obtain a feature sample data set; according to the method, weakening of short-time abrupt change features in signal segments is avoided through recursive hierarchical decomposition, local abrupt change features in signals are captured through singular spectrum entropy, sensitivity to short-time abrupt change or transient events is improved through combination of hierarchical decomposition and hierarchical singular spectrum entropy of singular spectrum entropy, and accurate feature samples are obtained.

The invention relates to an in-situ detection device and method for gas dissolved in oil. Comprising a degassing module and a detection module, and the degassing module is in direct contact with transformer oil and used for separating dissolved gas in the transformer oil in a membrane degassing mode to obtain separated gas; the detection module comprises a distributed feedback laser, a coupler, a photoacoustic cell, a plurality of photoelectric detectors, an AD conversion module and an FPGA core control and demodulation system; the method comprises the following steps: introducing separated gas, exciting the separated gas in a photoacoustic cell by multiple beams of laser to generate a photoacoustic or optical signal, receiving the signal, demodulating the signal after AD conversion to obtain Raman scattering spectrum data, and analyzing the Raman scattering spectrum data to obtain the concentration of each component gas in the separated gas. And judging the internal fault type of the transformer according to the concentration of each component gas. The device can be in direct contact with transformer oil for gas separation detection, and interference possibly brought by a traditional detection method in the oil sample extraction and analysis process is avoided.

The invention discloses a method for establishing a fingerprint spectrum of radix astragali wall-broken decoction pieces based on an online liquid phase microextraction technology and application. According to the method, an on-line liquid phase microextraction-high performance liquid chromatography combined system is established, in the combined system, a mobile phase can directly perform microextraction on the radix astragali wall-broken decoction pieces, and substances obtained after microextraction directly enter a liquid chromatographic column to be separated and detected, so that the fingerprint spectrum of the radix astragali wall-broken decoction pieces is obtained. The method disclosed by the invention can be used for simply, conveniently and quickly detecting and analyzing the fingerprint spectrum of the radix astragali wall-broken decoction pieces, omits a sample extraction and preparation step, further reflects whether the material basis of the product is changed or not, evaluates the stability of a wall-broken decoction piece production process and the uniformity of batch-to-batch quality of the finished product, and improves the quality of the radix astragali wall-broken decoction pieces. And moreover, automatic detection can be realized through instrument setting, and the method is simple and convenient to operate, safe, economical and suitable for mass quality detection of the radix astragali wall-broken decoction pieces.

The invention discloses a fetal health classification method, system and device and a storage medium, belongs to the technical field of fetal health auxiliary diagnosis, and solves the technical problems of classification deviation, low minority class sample recognition rate and high misdiagnosis rate caused by CTG data class imbalance in the prior art. Obtaining a fetus health data set, and performing preprocessing; using MAAL to optimize the feature classification main model, and using the optimized feature classification main model to preliminarily classify the preprocessed fetal health data set to obtain a correct classification result and a wrong classification result; constructing a feature classification secondary correction model, and classifying error samples corresponding to the error classification result based on an error sample extraction mechanism to obtain a classification result; and combining the correct classification result with the classification result, and outputting a final classification result. According to the fetus health classification method, the recognition capability of minority class samples is improved, and meanwhile the misdiagnosis rate and the missed diagnosis rate are reduced.

The utility model provides a soil volatile organic compound pretreatment device which comprises a sample bottle body, a gas inlet guide pipe, a gas outlet guide pipe, a dehydration pipe body and a collection pipe body, and the sample bottle body, the gas inlet guide pipe, the gas outlet guide pipe, the dehydration pipe body and the collection pipe body are relatively small in size and easy to carry and assemble. The pretreatment device for the volatile organic compounds in the soil can be synchronously erected, an extracted soil sample is directly placed in the sample bottle body, and carrier gas is introduced into the sample bottle body through an external gas cylinder of the gas inlet guide pipe, so that the volatile organic compounds in the soil sample can be collected in the collection pipe body; the collection tube body only needs to be transferred to a laboratory to complete corresponding detection subsequently, so that the convenience of detecting the volatile organic compounds in the soil is effectively improved.

A method of performing a digital polymerase chain reaction (dPCR) includes performing an amplification reaction on a reaction mixture including a crude lysate sample to generate amplicons of a target nucleic acid of a pathogen, wherein the crude lysate sample includes biological tissue. Fluorescence is detected from a probe hybridized to the amplicons. A method of detecting pathogen in a subject includes performing the above amplification reaction. The crude lysate sample includes biological tissue from the subject. The fluorescence detected from the probe hybridized to the amplicons is used to determine if the pathogen is present in the subject. Compositions, PCR systems, and kits are also provided.

The invention discloses a combined determination method for the tin content of iron ore, which is characterized by comprising the following steps: drawing a calibration curve; selecting measurement parameters of an instrument; weighing a sample; sample melting: uniformly mixing the weighed sample with a mixed flux in a certain proportion, and melting in a muffle furnace; extracting a sample: extracting the fused sample by using hydrochloric acid, and fixing the volume for detection; and sample determination: determining by using an inductively coupled plasma emission spectrometer, determining the intensity value of each element by drawing a standard curve method, and calculating the final content of the element according to a calibration curve made by a standard solution. The invention aims to provide the combined determination method for the tin content of the iron ore, through experiments, the accuracy of determining the standard substance and the tin element of the tin-containing iron ore can be guaranteed, and through standard recovery experiments, the recovery rate is 95% or above. The method is used for production practice, and is an effective and practical method.

The invention belongs to the field of organ chips and non-alcoholic fatty liver, and discloses a non-alcoholic fatty liver chip for realizing co-culture of different types of cells and a use method. The non-alcoholic fatty liver chip comprises a lower-layer substrate and a middle-layer chip, the middle-layer chip comprises two different cell culture chambers, namely a rectangular liver chamber and a straight channel blood vessel chamber with two circular ends; the two cell culture chambers interact with each other through the miniature fences on the adjacent sides so as to simulate the physiological process between the liver and the blood vessel in the body. The non-alcoholic fatty liver chip adopts an open top structure design, so that the tedious process that a traditional laminated chip needs to be repeatedly disassembled and assembled is avoided, and the operation convenience of the whole process of a cell culture experiment is remarkably improved; comprising but not limited to improvement of cell inoculation efficiency, more convenient real-time observation in the culture process, more efficient sample extraction and analysis, and simpler equipment cleaning and reuse.

The invention relates to a method for detecting alkaloid compounds based on UPLC-MSMS (ultra performance liquid chromatography-mass spectrometry) and application. The method comprises the following steps: after a sample is extracted, detecting a sample extracting solution and a standard solution by adopting an ultra performance liquid chromatography-mass spectrometry combined method; a mobile phase adopted by the ultra-high performance liquid chromatography is as follows: a mobile phase A is an aqueous solution containing 0.1% of formic acid; the mobile phase B is an acetonitrile solution containing 0.1% of formic acid. According to the method disclosed by the invention, after the extracted tissue sample is subjected to liquid chromatography separation, the alkaloid metabolites are qualitatively and quantitatively detected in a targeted manner, and due to the high selectivity of the high-resolution mass spectrum, parameter optimization does not need to be performed on each metabolite.

The application discloses a kind of based on remote sensing cloud computing's regional desertification automatic monitoring method, comprising: obtaining target area time series multispectral remote sensing image, extracting vegetation index and surface albedo;Based on composite ground object identification rule, eliminate non-target ground object pixel, construct basic sampling pixel set;Based on spatial homogeneity verification mechanism, sample extraction effective fitting sample set;The sample set is segmented and is statistically processed and is regressed, extracts two-dimensional characteristic space's dry side equation and wet side equation;Calculate the spatial geometric relative distance of each reserved pixel to dry and wet double sides, combined with the out-of-bound physical constraint truncation mechanism processing obtains relative desertification difference index;Based on the index, divide desertification grade.The present application overcomes the defect that extreme value fitting is fragile and threshold generalization fails, and realizes high-precision automatic monitoring.

The application discloses a portable fungus metabolite activity screening integrated device, and belongs to the field of fungus metabolite activity screening, which comprises a supporting base, a sample extraction part arranged on the supporting base to place fungus dry powder, an extraction and purification part arranged on the supporting base and connected with the sample extraction part to take out the sample in the sample extraction part for purification, a suction head replacement part arranged on the supporting side plate to place the connecting suction head, so that the connecting suction head is new every time when the solution in the extraction and purification part is transferred, and a detection part arranged in the constant-temperature incubation cabin to detect the reacted solution. The synchronous rotation design of the sample disc and the purification disc, the precise pipetting of the mechanical arm and the automatic replacement of the suction head realize continuous pipeline operation, and manual operation of frequently transferring the sample and the reagent between different equipment in the traditional method is avoided.

The invention relates to the technical field of pesticide residue detection, in particular to a detection method for determining benfuracarb, carbosulfan and metabolites thereof, which comprises the steps of sample preparation and preservation, sample extraction, purification, standard working curve drawing and result calculation. An optimized QuEChERS pretreatment method is adopted, a citric acid buffer salt system is combined to adjust the pH value, a liquid chromatography-mass spectrometry / mass spectrometer is used for detection, and an external standard method is used for quantitative analysis. The method can effectively solve the problem that the target object is unstable under the acidic condition, simplifies the operation process, reduces the reagent consumption, is environment-friendly, enhances the detection applicability of the method in various matrixes, is suitable for rapid detection of large-batch samples, and has the characteristics of high efficiency, accuracy and environment friendliness.

This invention discloses a non-invasive biodiversity monitoring system for mammal species in an artificial ecosystem, comprising a first collection module for collecting and preserving eDNA samples from trees, a second collection module for collecting water samples, a third collection module for collecting soil samples, and an analysis module for monitoring the samples. The first collection module includes a water spraying component, a collection component, and a moving component. By actively spraying water near the tree trunk to flush away eDNA from the trees, and by using elastic clamps to surround the tree trunk to collect and guide the sample water flow, the system is finally filtered and preserved through a device integrated within the vehicle. This sampling and monitoring method expands the sample extraction range, enabling more accurate biodiversity monitoring.

The application relates to the technical field of face prediction, and is a face prediction model construction method, a face prediction method and related devices.The method comprises the following steps: acquiring a training set, a test set and a verification set; each sample in the training set, the test set and the verification set comprises genomics features and real facial morphology features; a training number is set; a preset artificial neural network model is trained multiple times according to the training number and the training set; a plurality of face prediction standby models corresponding to the training are obtained; the verification set is predicted by using the obtained plurality of face prediction standby models; the optimal parameters are selected; and a face prediction model is output. Compared with the prior art, the application is cleaner in sample extraction, the sample quantity is improved, the model prediction obtained through training is more accurate, and furthermore, the application adopts neural network modeling, and the test set and the verification set are used for evaluating and analyzing the face prediction model, so that the prediction accuracy and precision of the model are improved.

The invention relates to a method for determining SYP-9625 and three metabolites thereof in fresh tea leaves, tea leaves and tea soup based on ultra-high performance liquid chromatography-tandem mass spectrometry, which comprises the following steps: 1) sample extraction and purification: extracting a fresh tea leaf, tea leaf or tea soup sample with acetonitrile, performing dispersive solid-phase extraction and purification with PSA, multi-walled carbon nanotubes and magnesium sulfate, concentrating, and fixing the volume with acetonitrile; (2) separating by adopting a chromatographic column Lux3mu m Celluse-2, and detecting the etoxazole nitrile and the three metabolites thereof by adopting an ultra-high performance liquid chromatography-tandem mass spectrometry; 3, standard curves and linear correlation coefficients of the SYP-9625 and the three metabolites of the SYP-9625 are calculated, and 4, the adding recovery rate, the relative standard deviation and the quantitation limit of the method.By means of the method, the residue analysis requirement is met, and an analysis method can be provided for research on the SYP-9625 and the three metabolites of the SYP-9625 in fresh tea leaves, tea leaves and tea soup.

The invention provides a full-process automatic all-in-one machine for DNA extraction, amplification and sequencing. The full-process automatic all-in-one machine comprises a cabin body, the cabin body is internally provided with a first space, and the first space is internally provided with a biological sample extraction workbench for realizing the whole process of DNA extraction, amplification and sequencing; the top of the cabin is provided with an air inlet duct, the side surface or / and the bottom of the cabin is provided with an air outlet duct, and the air inlet duct and the air outlet duct form negative pressure in the cabin; an amplification area is arranged on the biological sample extraction workbench, a cooling base used for reducing pollutants generated in the amplification process is arranged in the amplification area, and an air suction plate is arranged on the side face of the amplification area; the air suction plate is communicated with the air outlet channel, and pollutants generated in the amplification area are discharged out of the cabin body through the air outlet channel. Pollutants generated in the cabin body can be effectively prevented from facing three positions outside from gaps or cabin door lamps of the cabin body, so that pollution to the surrounding environment is avoided, and the safety of biological experiments is further improved. In addition, the integrated cabin is provided, and the requirement for the operation space of the biological experiment is effectively reduced.

The present invention provides a biological sample extract and its application and use method. The biological sample extract includes a surfactant and salt ions, wherein the surfactant is selected from Triton X-100 or Tween-20 and a high concentration of salt ions. The biological sample extract of the present invention not only improves the detection sensitivity of immunochromatographic antigen detection products, but also enhances the extract's ability to inactivate various viruses, including the novel coronavirus, playing an important role in preventing secondary contamination and protecting the public.