60results about How to "Reduce preprocessing time" patented technology

The invention provides an Internet of Things gateway control method fusing local communication and AI computing power, and relates to the technical field of data processing, the method comprises the following steps: receiving an original data packet sent by at least one terminal device; protocol analysis, noise filtering and format conversion are carried out on the received data, an AI analysis model corresponding to the equipment type is loaded, standardized data are input into the AI analysis model, an analysis result is sent to target terminal equipment, and the analysis result and a communication result are stored in a gateway cache module; according to a preset time interval, the analysis result is transmitted to a remote cloud server, and synchronization state information and synchronization error log information are generated; according to the synchronization error log information, synchronization error analysis data is generated, network synchronization optimization and data anomaly positioning are executed, and a synchronization optimization result is generated; according to the data type and the error type, abnormal data are processed, and synchronous updating is executed; according to the invention, the data processing efficiency and accuracy are improved.

The invention relates to the field of biological detection, in particular to a pretreatment kit for a positive sample containing chemical magnetic beads and application of the pretreatment kit. According to the method, the chemical magnetic beads are creatively applied to mass spectrum identification, and the strong adsorption capacity of the chemical magnetic beads to bacteria is utilized, so that the cost can be saved, and the pretreatment time of mass spectrum detection is greatly shortened. Meanwhile, an incubation solution is used for replacing a sample, so that the environment of bacteria is simpler, efficient adsorption of the magnetic beads to the bacteria is more facilitated, a bacteria-chemical magnetic bead compound can be extracted through simple magnetic adsorption, then the bacteria on the bacteria-chemical magnetic bead compound are eluted and detected, the purity of detected mycoprotein is very high, species identification can be achieved through mass spectrum, and the method is suitable for large-scale popularization and application. A new thought is provided for mass spectrum microorganism detection.

The invention discloses a soil organic matter detection device and method, and relates to the technical field of soil detection.The soil organic matter detection device comprises a cart, a transmission part, a soil sampling detection mechanism, a drill bit, a conveying detection mechanism, a grinding box, an integration mechanism, a grinding mechanism, a mounting block, a placement box, a detection part and a conveying part; the soil sampling detection mechanism penetrates through the center of a left gear of the gear set in the transmission part and is fixedly connected with the interior of the gear set, a drill bit is fixedly connected into the soil sampling detection mechanism, and the conveying detection mechanism is arranged at the top of the soil sampling detection mechanism. The soil transportation and pretreatment time is shortened, the detection process is accelerated, a worker can obtain soil fertility information in time, then the soil is conveyed through the corrugated pipe, and finally the situation that the soil is difficult to convey due to expansion of the corrugated pipe is prevented through the limiting rope.

The present invention relates to the technical field of cutting fluids. The present invention discloses a device for preparing aluminum alloy cutting fluids and cutting fluids prepared by the device. The preparation device comprises a preparation tank, a multi-stage stirring component, a speed change mechanism, a linkage adjustment mechanism, and a homogenization channel. The multi-stage stirring component comprises a power source, a power shaft, a bottom stirring paddle, a middle stirring paddle, and an upper stirring paddle; and the homogenization channel is distributed inside the bottom stirring paddle. The cutting fluid comprises at least the following components in parts by weight: 19-26wt% of vegetable oil, 3-6wt% of lubricant, 2-5wt% of rust inhibitor, 1-2wt% of coupling agent, 7-11wt% of emulsifier, 11-15wt% of PH buffer, 0.5-1wt% of defoamer, 1-1.5wt% of corrosion inhibitor, 1-2wt% of antibacterial agent, and the balance is deionized water. The present application solves the problem of uneven mixing and dispersion in the existing aluminum alloy cutting fluid preparation process, and solves the problem of insufficient stability of the emulsifier in the aluminum alloy cutting fluid preparation process, easy stratification and demulsification, and affecting the cooling and lubrication effect.

The present invention discloses a pretreatment device for thermoplastic nylon resin, including a melting device and a vacuum dehydration device; the melting device includes a melting tank and an electronic scale; the melting tank is supported on the electronic scale; the melting tank adopts a jacketed tank, the cover plate of the melting tank is provided with a resin adding port, an exhaust valve, a dehydration pipe interface and a stirring motor, a stirrer is provided in the melting tank, and the output shaft of the stirring motor is connected to the stirrer; the dehydration pipe interface is connected to the vacuum dehydration device through a dehydration pipe; an oil inlet and an oil outlet are provided on the outer wall of the jacket layer of the melting tank; the oil inlet and the oil outlet are connected to an oil circulation device; a heater is provided at the bottom of the jacket layer of the melting tank. The present invention has a simple structure and low cost; the electronic scale is provided at the melting tank of the present invention, and the stirrer is provided in the melting tank, which can automatically measure and add auxiliary materials and mix them evenly, and the present invention is provided with a vacuum dehydration device, which can vacuum dehydrate, and shorten the pretreatment time of the resin, thereby improving production efficiency.

The invention discloses a blueberry dried fruit drying device and a drying method, which belongs to the field of blueberry drying. The device comprises a first shell, wherein a second shell is integrally formed on the upper surface of the first shell, a storage component is fixedly installed on one end of the first shell, a placement component is fixedly installed on one end of the upper surface of the second shell, a drying component is fixedly installed on the middle part of the upper surface of the second shell, a working component is rotatably installed between the placement component and the drying component, the working component is rotatably installed on the second shell, a discharging component is fixedly installed on a side of the drying component away from the placement component, and a plurality of drying trays are arranged inside the drying component and the placement component. By arranging the working component, the device can realize automatic unloading without stopping the machine when working, without stopping the machine and preheating again, thereby reducing the pretreatment time between multiple processing and improving the drying efficiency.

The invention relates to the technical field of driving data processing, in particular to a vacancy filling method and device for driving condition data, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a to-be-detected data set of a driving condition; under the condition that missing data exists in the to-be-detected data set, obtaining an attribute column set and a data type of the missing data; acquiring a driving condition data set with complete data; and filling the missing data of the to-be-detected data set according to the driving condition data set, the attribute column set of the missing data and the data type. By adopting the method, comprehensive data support is provided for data analysis and model training by filling missing values and ensuring the integrity of a data set, original features and information of data are reserved to the maximum extent through an intelligent vacancy filling method, and excessive simplification or misinterpretation is avoided.

The invention belongs to the technical field of starch modification, and discloses a method for preparing starch citrate through solvent-free continuous stirring, which comprises the following steps: step a, a drying stage: firstly, crushing citric acid particles, sieving for the first time, uniformly mixing the citric acid powder sieved for the first time with starch, drying at high temperature, and cooling to room temperature, after crushing, sieving for the second time to obtain a citric acid-starch mixture; and b, a continuous stirring reaction stage: stirring the citric acid-starch mixture at high temperature while reacting to obtain starch citrate, cooling, washing with ethanol, drying, crushing, and sieving for the third time to obtain the starch citrate. The method does not use any solvent and catalyst, does not generate waste water and waste gas, is green and environment-friendly, and is short in preparation time and high in efficiency; by means of high-temperature drying pretreatment, the caking problem caused when stirring and reacting are conducted in the follow-up process is greatly solved, stirring and reacting are conducted in the follow-up process, the contact opportunity of starch and citric acid is increased, and the content yield of resistant starch is increased.

The invention discloses a data analysis and display system based on a large model, and the system comprises a data collection module which is used for carrying out the matching with a business database according to a current business stage, obtaining a matching result, starting a data burying point according to the matching result, and carrying out the data collection, and obtaining initial data; the data processing module is used for deploying a plurality of edge computing nodes on an edge server and performing multi-thread preprocessing on the initial data by utilizing the edge computing nodes; the data analysis module is used for transmitting the preprocessed initial data into an analysis model of the current service stage to obtain an analysis result; and the result display module is used for carrying out classified statistics on the preprocessed initial data and the analysis result to obtain a plurality of data reports and displaying the data reports in a monitoring center. The invention relates to the technical field of e-commerce data analysis, and solves the technical problems of low data processing efficiency and insufficient accuracy and breadth of data analysis in an existing e-commerce data analysis system.

The invention belongs to the technical field of city information models, and relates to a WebGL-based city information model two-dimensional and three-dimensional data service dynamic projection method and system. The method comprises the following steps of: judging a requested service type according to a URL (Uniform Resource Locator) address of a data service, and obtaining metadata information of the data service needing to be loaded; judging whether the content identifying the coordinate system information exists in the metadata information, if not, receiving an external declaration, and transmitting the external declaration into a coordinate system; if the data service has the defined coordinate system information, analyzing the coordinate system information of the data service; and calling corresponding dynamic projection components according to different service types, and performing dynamic projection transformation of the data service. According to the method, the data service is dynamically projected to the surface of the earth in real time in a browser environment, the problems of data isolation, low preprocessing efficiency and operation and maintenance redundancy in an existing scheme are solved, and the technical bottleneck that multi-coordinate system data cannot be dynamically processed in an existing Web end three-dimensional scene is broken through.

The invention discloses a method for determining the content of amylose and amylopectin in corn through a full-automatic flow injection analyzer method, and particularly relates to the field of determination of the content of amylose and amylopectin in corn, the method comprises the following steps: taking a corn kernel sample, crushing into powder, and passing through a 80-mesh screen to obtain corn kernel sample powder; the corn kernel sample powder is subjected to reflux extraction degreasing through a degreasing agent, and a degreased corn kernel sample is obtained; the method comprises the following steps: weighing a degreased corn kernel sample, putting the degreased corn kernel sample into a conical flask, adding a 95% ethanol solution, transferring a sodium hydroxide solution into the conical flask, and heating the conical flask in a boiling water bath for 10 minutes to obtain a to-be-detected corn sample with starch dispersed; taking out the to-be-detected corn sample, cooling to room temperature, transferring into a volumetric flask, adding distilled water to a constant volume, shaking uniformly, analyzing by a flow injection analyzer, and calculating to obtain the content of amylose in the corn sample. The method has the advantages of high automation degree, high detection speed and simple sample treatment.

The present application relates to the technical field of GPU computing optimization, and in particular to a sparse attention computing method, device and medium for GPU, wherein the method realizes the high efficiency of long context reasoning through the geometric perception sparse attention framework of ball hashing, and combines a large-scale parallel hashing optimization algorithm and a load adaptive computing kernel. Compared with the existing sparse attention methods based on heuristics or gradient learning, the present application realizes higher retrieval recall rate, lower preprocessing overhead and efficient hardware adaptation to irregular sparse patterns.

The present application belongs to the technical field of analytical chemistry, plastic detection and regenerated polyester quality control, and particularly relates to a microcoulometric method and system for determining trace PVC content in PET microplastics. After water washing and drying of the PET sample, the method uses a selective solvent mainly composed of tetrahydrofuran to dissolve PVC for a short time and filter and fix the volume, burns the chlorine-containing sample solution under the condition of high temperature, oxygen enrichment and copper-free chlorine-trapping filler, converts chlorine into hydrogen chloride and performs microcoulometric titration, and converts the PVC content according to the electrolytic electric quantity, which has the advantages of rapidness, accuracy, resistance to inorganic chlorine interference and suitability for trace detection.

This invention discloses a pretreatment method for detecting arsenic-containing samples, comprising the following steps: S1. Drying the sludge sample, grinding and sieving it to obtain a pretreated sample; S2. Wetting the pretreated sample with deionized water, adding a digestion solution for digestion at normal pressure, and then using a hydrogen peroxide aqueous solution in boiling water for peroxidation reaction to obtain the sample to be tested; the digestion solution consists of concentrated hydrochloric acid, dilute perchloric acid, and dilute nitric acid; the sample to be tested is directly used for atomic spectroscopy to detect the arsenic content. The light source for atomic analysis spectroscopy is an inductively coupled high-frequency plasma torch. The method is simple, saves materials, has a low detection limit, and high repeatability.

The invention discloses a rapid detection method for 27 steroid hormones in mangrove plants. The method comprises the following steps: S1, putting a mangrove plant sample subjected to freeze drying, grinding and sieving into a centrifugal tube A, and then adding an isotope internal standard for balancing; adding acetonitrile, carrying out vortex, ultrasonic extraction and centrifugation, and taking supernate; s2, methanol and acetonitrile are sequentially added, vortex, ultrasonic extraction and centrifugation are performed, and supernate obtained after acetonitrile extraction in the S1, supernate obtained after methanol extraction in the S2 and supernate obtained after acetonitrile extraction in the S2 are combined; s3, transferring the supernate into a centrifugal tube B containing filler, carrying out vortex centrifugation, and putting the supernate into a glass test tube; s4, extracting the filler in S3 again by using acetonitrile, carrying out vortex centrifugation, and combining the two supernatants in a glass test tube; s5, carrying out nitrogen blowing concentration on the solution in the glass test tube, and fixing the volume in methanol; s6, determining the steroid hormones and the metabolites thereof by using high performance liquid chromatography-tandem mass spectrometry, and obtaining the content level of the steroid hormones and the metabolites thereof in the plants through data analysis and quantitative calculation.

The invention discloses an automatic identification and intelligent evaluation method for a primary frequency modulation disturbance event of a thermal power generating unit, and the method comprises the steps: collecting the operation data of the thermal power generating unit, and constructing a multi-dimensional time sequence data set containing the active power, the power grid frequency and a control instruction; performing abnormal value elimination and high-frequency noise suppression processing on the multi-dimensional time sequence data set to obtain a processed multi-dimensional time sequence data set; constructing an LSTM recognition model fused with the attention mechanism, inputting the processed multi-dimensional time sequence data set into the LSTM recognition model fused with the attention mechanism, and outputting a recognition result after training; based on the recognition result, the amplitude, response delay and overshoot index of the disturbance event are extracted, a comprehensive index is calculated, and the multi-dimensional time sequence data set, the recognition result and the evaluation index are stored and visually output. According to the method, the LSTM model of the attention mechanism is fused, the disturbance recognition accuracy is improved, and the algorithm misjudgment rate is reduced.

The invention discloses a biological organic fertilizer and a production process thereof, and relates to the technical field of organic fertilizers. The method comprises the following steps: pretreating an organic fertilizer raw material prepared in the step 1 through a pretreatment device; the pretreatment device comprises a box body, sliding seats are slidably connected to the two inner side walls of the box body, and driving wheels in one-to-one correspondence with the liquid containing cavities are rotatably connected to the inner wall of the box body; a rotating frame is rotationally connected between the two sliding seats, and a material containing frame is arranged in the rotating frame; one end of the rotating frame is fixedly connected with a gear ring, the box body is provided with a linear driving mechanism which is used for driving the two sliding seats to move, so that the gear ring is meshed with the driving wheel, the material containing frame is driven to rotate through the rotating frame, and a culture solution is sprayed to the material containing frame through the spraying pipe. According to the organic fertilizer pretreatment device, culture solution spraying is performed on organic fertilizer raw materials through the spraying pipe in the pretreatment device, the draining process is reduced, and the problems that the draining time is long and the pretreatment efficiency of the organic fertilizer raw materials is influenced after the organic fertilizer raw materials are soaked in the culture solution in the prior art are solved.

The invention discloses a method for simultaneously determining 19 chlorophenol compounds in aquatic products, and belongs to the technical field of food safety detection. The method of the invention is based on UPLC-MS method using QuEChERSEMR-Lipid pretreatment technology, and BEH C 18 Chromatographic column separation, acetonitrile-ammonium formate as the mobile phase gradient elution, and atmospheric pressure chemical ionization source ionization were used to detect 19 chlorophenol compounds in aquatic products. This method has high separation, accuracy, rapidity and good repeatability, and provides a practical and reliable technical means for the high-throughput rapid detection of the contents of 19 CPs in aquatic products.

The invention discloses a method for simultaneously and quickly pre-treating phthalic acid ester and metabolites thereof in a biological sample, which comprises the following steps: (1) adding diluted hydrochloric acid into the sample according to a ratio of 0.5 g: 3mL, and vortex for 1-3 minutes; (2) adding acetonitrile into the mixed solution obtained in the step (1) according to a ratio of the sample to acetonitrile of 0.5 g: 3mL, carrying out vortex treatment for 1-3min, and then carrying out ultrasonic treatment for 8-15min; (3) adding an extraction salt bag into the mixed solution obtained in the step (2) according to the mass ratio of the sample to the extraction salt bag being 1: 4, violently shaking to enable the salt bag to be fully and uniformly mixed, and then vortex for 5-8 minutes; and finally, centrifuging for 5-6 minutes at the speed of 3000rpm, and taking supernate, so as to obtain a solution for detecting the phthalate and the metabolites thereof.

The invention belongs to the technical field of ammonia decomposition processes, and particularly relates to an ammonia decomposition catalyst and a preparation method thereof. The preparation method comprises the following steps: S1, mixing and dipping a biological template and a reagent A to obtain an optimized biological template; s2, mixing and dipping the optimized biological template and a reagent B, drying and roasting to obtain a catalyst carrier; s3, mixing and dipping the catalyst carrier and a reagent C to obtain a catalyst precursor; and S4, activating the catalyst precursor to obtain the ammonia decomposition catalyst. The reagent A contains carboxylic acid and hydrogen ions, the dipping time is 1-24 hours, and the dipping temperature is 20-80 DEG C. The biological template subjected to dipping treatment by the reagent A can better adsorb metal ions, and the prepared metal oxide catalyst carrier has more uniform and complete microstructure and larger specific surface area, so that the catalytic efficiency and stability of the ammonia decomposition catalyst are improved.

The invention relates to an organic waste liquid directional conversion recycling method and system, and belongs to the technical field of organic waste liquid treatment. The method comprises the following steps: inputting toxic organic waste liquid into a catalytic oxidation reactor, continuously introducing air, and carrying out catalytic oxidation reaction to obtain pretreated waste liquid; the pretreatment waste liquid is sequentially input into a first anaerobic tower, an air stripping tower and a second anaerobic tower to be treated, and methane is introduced into the first anaerobic tower, the air stripping tower and the second anaerobic tower. Through relatively low-temperature and low-pressure catalytic oxidation pretreatment, the pretreatment time is shortened, detoxification of the high-concentration organic waste liquid is realized, and meanwhile, the energy consumption and the cost of catalytic oxidation pretreatment are reduced; by arranging the catalytic oxidation reactor, the first anaerobic tower, the air stripping tower and the second anaerobic tower, catalytic oxidation pretreatment and biochemical treatment are combined, and the device has the advantages of low investment and operation cost and is suitable for treating high-concentration organic waste liquid.

This invention discloses a method for preparing Iota carrageenan. Using *Euphorbia tirucalli* as raw material, the raw material is washed to remove salt and sand, then alkali-modified in a potassium hydroxide solution. After acid neutralization, the raw material is directly soaked, ground, and ultrasonically extracted. The extract is then homogenized and finely filtered. A calcium chloride coagulant solution is added, and after mixing, only ethanol is added for dehydration. The precipitate is granulated, dried at low temperature, and pulverized to obtain high-yield, high-viscosity pure Iota carrageenan. This invention employs ultrasonic extraction technology, significantly improving the extraction rate of Iota carrageenan. The potassium salt formed during neutralization saves process water and provides a coagulant for the subsequent coagulation process. Furthermore, the addition of a low concentration of calcium chloride for coagulation greatly reduces the amount of ethanol used in traditional dehydration processes. This invention represents a novel, low-energy-consumption, high-yield, green extraction process for Iota carrageenan with broad application prospects.

The invention discloses a combined specific electrostatic composite fluorescent array sensor and a preparation method and application thereof, the fluorescent array sensor comprises tetramethyl rhodamine (TAMRA) modified cationic antibacterial peptide (AMP) and fluorescein (FAM) modified anionic single-stranded DNA (ssDNA), the ssDNA sequence is shown as SEQ ID NO.1-4, and the AMP sequence is shown as SEQ ID NO.5-7. The invention further discloses a preparation method and application of the combined specific electrostatic composite fluorescent array sensor. The sensor prepared by the invention is relatively high in sensitivity and good in selectivity and does not need to be operated by professional technicians, and a fingerprint spectrum is formed by combining detection results of different bacteria through the cross reactivity of array sensing so as to realize trace detection of different types of bacteria at the same time. According to the sensor prepared by the invention, the pretreatment time of a bacterial sample can be saved, and rapid detection and real-time detection are realized.

The invention discloses a nucleic acid extraction-free RT-qPCR quantitative analysis method for LNP-mRNA in plasma, the method comprises four steps of chemical pretreatment, physical pretreatment, reverse transcription and qPCR, the chemical pretreatment uses PBS (named as PBST / I) containing 0.5% of Triton X-100 and 0.2% of IGEPAL CA-630 for splitting decomposition, and the physical pretreatment uses a 95 DEG C high temperature to treat a sample. According to the method provided by the invention, time-consuming and labor-consuming nucleic acid extraction operation is not needed, time and cost are saved, and more importantly, the loss of target mRNA in the nucleic acid extraction process is avoided by omitting the nucleic acid extraction and purification step; the condition that the loss degrees of different samples are greatly different due to instability and uncontrollability of the extraction efficiency is prevented, so that the detection result is more accurate and reliable.

The invention discloses a flower-shaped ZnO / ZIF-8 material as well as a preparation method and application thereof, and belongs to the technical field of chemical and environmental analysis. The preparation method of the flower-like ZnO / ZIF-8 material comprises the following steps: (1) uniformly mixing a zinc source, urea and a morphology regulator in a solvent to obtain a mixed solution; then sequentially carrying out hydrothermal reaction, centrifugation and roasting treatment to obtain flower-shaped ZnO; (2) mixing and reacting the flower-shaped ZnO with an alcoholic solution of 2-methylimidazole to obtain the flower-shaped ZnO / ZIF-8 material. The dispersive solid-phase extraction technology constructed by the ZnO / ZIF-8 material disclosed by the invention shows high adsorption performance in bisphenol pollutant removal, shows excellent sensitivity and anti-interference capability in detection, and has potential application value in removal and purification or detection of environmental organic pollutants by utilizing chromatography.

This utility model discloses a pretreatment device for protein precipitation in biological detection samples, including a protein precipitation pretreatment plate. A filter plate cover is snapped onto the top of the protein precipitation pretreatment plate, and a limiting mechanism is fixedly connected to the lower surface of the protein precipitation pretreatment plate. A 96-well sample loading plate is slidably connected to the inner side of the limiting mechanism. In this utility model, the 96-well pretreatment plate device has a simple structure design and is easy to manufacture due to the protein precipitation pretreatment plate and limiting mechanism. Furthermore, for the separation and collection of extracts after protein precipitation, the extract collection step can be performed in batches, saving pretreatment time, avoiding extract spillage and cross-contamination, simplifying operation, enhancing the repeatability of the collection process, avoiding operator error during pretreatment, saving sample detection pretreatment time, improving pretreatment efficiency, and making it more practical.

The utility model discloses a kind of pretreatment mechanism for PVC plastic particle hot melting, including material cylinder, the compression stirring rod of rotation installation in material cylinder inside and the hot melting cylinder of fixed setting in material cylinder inside, material cylinder top end is equipped with the reduction motor for driving the rotation of compression stirring rod.Said compression stirring rod includes taper shaft, spiral arrangement in the rotating vane of taper shaft surface and the stirring shaft rod at its bottom end, hot melting cylinder surface is equipped with several homogenization holes, and along axial fixed mounting has electric heating ring.By taper compression structure and spiral conveying cooperation, PVC plastic particle is gradually compacted and forms stable material flow in conveying process.The utility model integrates compression, heating, hot melting and mixing function in the same structure, realizes the efficient pretreatment of PVC plastic particle before entering extrusion or molding equipment, compact structure, stable operation, it is favorable to improve subsequent processing quality and production efficiency.

The invention provides carbonized aggregate, a carbonized product with high carbonization depth and a preparation method of the carbonized aggregate, and belongs to the technical field of carbon sequestration building materials.The preparation method comprises the following steps that solid waste raw materials, cement, silica fume, a thickening agent, a water reducing agent and water are evenly mixed and subjected to pouring forming, and a green body is obtained; and drying the green body until the water content is 13-20%, and carbonizing and curing to obtain the high-connectivity artificial carbonized aggregate. And stacking a plurality of high-connectivity artificial carbonized aggregates in a mold in advance, pouring the slurry into the mold, maintaining at 25 DEG C for 24 hours, demolding, carrying out microwave pretreatment, and then carrying out carbonization maintenance to obtain the carbonized product. According to the method for constructing the continuous carbon dioxide transportation network by using the high-connectivity artificial carbonized aggregate and the preset aggregate technology, the light high-strength carbonized product with the high carbonization depth is prepared, the compressive strength can reach 39.23 MPa after the carbonized product is carbonized for 1 day, the density is 1711 kg / m < 3 >, the carbonization degree is 43.27%, the carbonization uniformity depth is 50 mm, the carbon fixation amount is 356.2 kg / m < 3 >, and the pre-curing time is 4 h.

The invention provides a determination method for rapid screening of plastic part color masterbatch carcinogenic dyes, and the determination method for rapid screening of plastic part color masterbatch carcinogenic dyes comprises the following steps: crushing a plastic sample, adding the crushed plastic sample into dichloromethane, carrying out swelling and decoloration, and carrying out ultrasonic extraction to obtain a swelling mixed solution; adding methylbenzene into the swelled mixed solution to swell and decolor, and performing ultrasonic extraction and concentration to obtain a concentrated extract; adding the concentrated extract into a methanol precipitator, and separating to obtain a precipitate mixed solution; and eluting the precipitate mixed solution through an activated alumina small column, drying, and re-dissolving in methanol to obtain a to-be-detected solution, and analyzing by using a liquid chromatograph-mass spectrometer. Dye molecules are selectively released through step-by-step swelling of dichloromethane and toluene, so that the extraction effect of the color masterbatch dye in the plastic is improved; through combination of step-by-step solvent synergistic swelling extraction and multi-stage purification, drying of polymer dissolved impurities is avoided, and efficient and accurate extraction and determination of the plastic color masterbatch dye are realized.

The invention provides a pretreatment method of a sample for urine aldosterone detection, a kit and a detection system. The pretreatment method of the urine aldosterone detection sample comprises the following steps: incubating a urine sample for 0.5-1 hour at the room temperature of 20-25 DEG C by adopting a reagent containing beta-glucuronidase; the addition amount of the beta-glucuronidase in a system composed of a urine sample and the beta-glucuronidase reagent is greater than 5000 units / mL. According to the pretreatment method, the pretreatment time required by clinical determination of aldosterone in 24 hours of urine can be remarkably shortened, and rapid and full-automatic pretreatment and accurate quantification of a sample can be realized.