194 results about "Food sample" patented technology

The invention relates to a food reserved sample quality monitoring method based on machine learning, and the method specifically comprises the following steps: deploying a sensor array in a food reserved sample environment, collecting reserved sample multi-dimensional physicochemical characteristic data in real time, constructing a training set through historical normal and degraded batch data, and marking a state; the method comprises the following steps: constructing a machine learning model for food reserved sample quality monitoring, inputting sample data in a training set into the model, sequentially passing through a dynamic distribution alignment module, a physical constraint confrontation enhancement module and a multi-scale residual space-time network, and performing dynamic attention mechanism enhancement by utilizing physical constraint and environment modulation. And finally, outputting a quality category probability by the multi-modal classifier. Then calculating model loss, and carrying out iterative training on the model to obtain a trained model; and deploying the trained model at a reserved sample monitoring terminal, inputting newly collected monitoring data, and predicting the quality state of the food reserved sample. According to the invention, high-efficiency and real-time quality monitoring on the quality of the reserved food sample can be realized.

The invention discloses a food colony detection and analysis method and system based on artificial intelligence, and the method comprises the steps: carrying out gradient elution-layered filtration pretreatment on a to-be-detected food sample to generate an impurity-removed colony sample; synchronously performing bacterial colony microscopic image acquisition and near infrared spectrum data acquisition on the impurity-removed bacterial colony sample to generate initial multi-modal data; performing space-time calibration processing on the initial multi-modal data to generate multi-modal data after space-time calibration; performing multi-dimensional bacterial colony feature extraction and screening processing on the multi-modal data after space-time calibration to generate a strong correlation feature subset; performing AI double-branch attention fusion analysis processing on the strong correlation feature subset to generate a bacterial colony classification result and a bacterial colony concentration estimated value; and performing multi-reference-system correction processing on the bacterial colony classification result and the bacterial colony concentration estimation value to generate a corrected detection result. According to the invention, the timeliness and reliability of the detection result are improved.

The invention provides an intelligent veterinary drug residue detection system and method based on multi-dimensional spectral characteristics, and relates to the technical field of veterinary drug residue detection, spectral response data of a to-be-detected sample solution in a visible light band and a near-infrared band is collected, and the residue discrimination degree of veterinary drug residues under any wavelength when the concentration dependence change exists is determined; abnormal wave band combinations with quantitative response to veterinary drug residues are screened out from the visible light wave band and the near-infrared wave band respectively, the residual peak deviation of the veterinary drug residues in the region of interest of the spectrum is determined according to the abnormal wave band combinations, and trace residue marks in the multiple spectrum intensity distribution modes are determined; and performing in-situ nondestructive screening on veterinary drug residues in the to-be-detected animal-derived food sample according to the residue discrimination and the trace residue mark. According to the method, on the premise that the dual-band spectrum collaborative response is enhanced, the veterinary drug residue characteristics can be directionally distinguished and detected, so that the veterinary drug residue screening accuracy is improved.

The application provides a preparation method of a functionalized phage probe and application of the functionalized phage probe in detection of escherichia coli. The functionalized phage is a recombinant phage (M13KO7@SaBP) in which streptavidin binding peptide (SaBP) is fused and expressed at the N terminal of the main capsid protein P8 protein of M13K07 phage. In the application, the gene encoding SaBP (MDVEAWLGAR) is inserted into the N terminal of the P8 protein gene of M13K07 phage by site-directed mutagenesis to prepare M13K07@SaBP. The stable signal amplification is realized by using the abundant P8 protein (about 2700) of M13 phage and the super strong binding force of biotin-streptavidin, the interference of food sample matrix is reduced by combining the magnetic separation technology, and a detection method of escherichia coli with high sensitivity and small sample matrix interference is constructed.

The invention discloses a rapid component detection system based on food additives, and relates to the technical field of food safety detection.A food sample is collected, matrix information of the food sample is obtained, an additive fingerprint feature group is extracted based on a reference model, sample response signals are collected through multi-channel detection, and feature matching analysis is carried out; outputting additive existence judgment and a matching degree score; when the matching degree score is lower than a preset threshold value, abnormal response features are extracted, feature vectors of the components to be verified are constructed and compared with the high-risk component template data, and suspected illegal added components are marked; by fusing spectrum, fluorescence and electrochemical multi-dimensional detection channels, the method has the characteristics of broad spectrum, rapidness and high adaptability, can realize intelligent identification and early warning of unknown or illegal additives, and is suitable for mobile detection and risk screening in various food scenes.

1. Name of the designed product: sample scale. 2. Use of the designed product: weighing, food sample, data recording and transmission. 3. Design points of the designed product: in shape. 4. Picture or photo that best shows the design points: perspective view.

To provide an allergic reaction test food which contains nuts as the only allergen, can be provided to infants without the risk of aspiration, and a method for producing the allergic reaction test food.SOLUTION: Provided is an allergic reaction test food product comprising a freeze-dried product of a predetermined shape that contains nuts, starch, and dextrin and does not contain any allergens other than those derived from nuts. The nuts are in a paste form, preferably with a maximum particle size of 900 μm or less, preferably with a nut content of 0.02 to 4.2 g per piece in terms of weight before freeze-drying, and preferably dissolved in water or hot water at the time of use to form a paste.SELECTED DRAWING: None

The utility model discloses a food detection sample centrifugal separation device, and belongs to the technical field of food detection equipment.The centrifugal separation device comprises a shell and a top cover arranged on the shell, a servo motor is installed at the upper end of the top cover, a centrifugal barrel is arranged in the shell, and a sealing cover is arranged at the upper end of the centrifugal barrel; the centrifugal cylinder and the sealing cover are provided with a quick-mounting mechanism, the quick-mounting mechanism comprises hinge seats symmetrically mounted on the sealing cover, and positioning clamping seats are hinged to the hinge seats; the centrifugal cylinder and the sealing cover can be separated, so that a food sample needing to be detected can be conveniently poured in, the interior of the centrifugal cylinder can be conveniently and completely cleaned after the centrifugal cylinder is taken out from the interior of the shell in the later period, and incomplete cleaning at deep or dead angles is avoided; the positioning seats are arranged at the two ends of the centrifugal barrel, and the positioning clamping seats clamped with the positioning seats are arranged at the two ends of the sealing cover, so that the centrifugal barrel and the sealing cover can be conveniently mounted and dismounted, and a worker can conveniently clean the centrifugal barrel by taking down the sealing cover.

The invention relates to the technical field of food quality inspection, in particular to a multi-dimensional analysis food quality detection system, which comprises a data acquisition module for performing non-destructive physical detection on a target food sample, acquiring a multi-source sensing signal and generating a food original physical characteristic data stream; the feature extraction module is used for constructing a multi-dimensional physical feature vector matrix of food and carrying out dimension standardization and redundant feature elimination processing; the characteristic correlation analysis module is used for performing similarity comparison on the multi-dimensional physical characteristic vector matrix and a preset food component database, outputting a food component estimation result and establishing a mapping model between physical characteristics and chemical indexes; and the quality evaluation module is used for comparing a food component estimation result with a food standard parameter, generating a quality risk grade evaluation report and dynamically adjusting a sensing strategy. According to the invention, the safety, efficiency and broad-spectrum adaptive capacity of food detection are improved, and the method is especially suitable for online rapid screening scenes of complete commodities, raw materials or in-transit food.

The utility model relates to the technical field of sample storage, and discloses food sample storage equipment with a temperature monitoring function, which comprises a storage box, a box door is hinged to the front side of the storage box, a cold air device is fixedly connected to the top of the storage box, a fan shaft is movably connected to the inside of the cold air device, and the fan shaft is fixedly connected to the front side of the storage box. A plurality of fan blades are fixedly connected to the surface of the fan shaft, a plurality of placing tables are arranged in the storage box, a temperature sensor is fixedly connected to the upper portion of the left side in the storage box, and an alarm is fixedly connected to the outer portion of the joint of one end of the temperature sensor and the storage box. According to the food sample storage equipment, the temperature in the storage equipment can be monitored in real time, and when the temperature in the storage equipment exceeds a preset safety range, the alarm can give an alarm immediately, so that abnormal conditions can be found and handled in time, and samples are prevented from going bad or being damaged due to too high temperature.

The invention relates to the technical field of spectral analysis, in particular to a hydroxytyrosol content detection method and system for food quality inspection.The method comprises the steps that spectral data of an olive oil food sample are collected, liquid chromatographic data of the food sample are obtained, a peak point, a chromatographic peak sequence and a chromatographic peak half-and-half sequence are determined, a chromatographic peak shape interference coefficient is obtained, and a hydroxytyrosol content detection result is obtained. Acquiring a peak shape symmetric inclination coefficient based on the chromatographic peak shape interference coefficient and the difference before and after peak points in the chromatographic peak half-and-half sequence, determining a self-adaptive asymmetric penalty coefficient, acquiring chromatographic data of the corrected olive oil food sample, and judging whether the content of hydroxytyrosol in the olive oil food sample reaches the standard or not. The method aims at solving the problems that in a traditional BEADS algorithm, an asymmetric penalty factor cannot be dynamically adjusted according to the liquid chromatogram data of the olive oil food sample, so that the liquid chromatogram data of the olive oil food sample is excessively corrected and is not sufficiently corrected.

This invention belongs to the field of biosensor technology and provides a biosensor for detecting Salmonella typhimurium based on DNAzyme-amplified DNA nanowires activating CRISPR / Cas12a, comprising: CRISPR / Cas12a protein, Mg 2+ The nucleotide sequences are as shown in SEQ ID NO:1-8: aptamer Apt, A strand, AB strand, DNAzyme strand, H1 strand, H2 strand, H3 strand, and crRNA. This biosensor exhibits high detection sensitivity, low detection limit, and a detection range of 10⁻¹⁰. 5 With a CFU / mL range, high specificity, low background interference, stable fluorescence signal, simple operation, and mild reaction conditions, it is suitable for rapid on-site detection and applicable to the detection of actual food samples. The spiked recovery rate is 100.3%-103.9%, and it can be widely used in the detection of Salmonella typhimurium in the food industry and public health field.

The invention belongs to the technical field of food nondestructive detection, and particularly relates to a food deterioration nondestructive rapid detection method based on an electronic nose and mode recognition, which comprises the following steps: selecting to-be-detected food, pretreating, and putting into a sealed detection container, so that volatile odor components released by a sample reach a concentration stable state in a sealed space; starting an electronic nose detection system to carry out dynamic adsorption detection on volatile odor components in the sealed space, and obtaining an original odor response signal sequence in real time; preprocessing the original smell response signal sequence to obtain a standardized signal sequence; based on the standardized signal sequence, extracting a time domain feature, a frequency domain feature and a trend feature, and splicing the three features according to a preset sequence to obtain an odor feature vector of the to-be-detected sample; and inputting the extracted odor feature vectors into a pre-trained pattern recognition model, carrying out classification recognition on the feature vectors, and outputting the deterioration degree grade of the to-be-detected food sample, thereby realizing effective elimination of multi-source interference, comprehensive feature extraction and accurate classification recognition.

The invention discloses a multifunctional food quality safety detection device and an application method thereof, and relates to the technical field of food detection. The device comprises a sampling assembly, the sampling assembly is provided with a flow regulation and control assembly, a particle screening assembly is arranged on the sampling assembly, and a power regulation and control assembly is arranged on the sampling assembly; the sampling assembly is used for automatically sampling food samples; the flow regulation and control assembly is used for regulating and controlling the food discharging amount. Through use of the device, screening of particulate matters in liquid food is realized, convenience is provided for subsequent particulate matter sampling, and through movement of a push plate and a magnetic rod, not only can electric energy be generated, but also particulate matters on one side of a first sieve plate can be washed, and blockage caused by the particulate matters is prevented; and in addition, through cooperative use of the sampling assembly and the power regulation and control assembly, multiple liquid in food can be automatically sampled, the diversity and convenience of sampling are improved, power is accurately distributed, and excessive consumption of energy is reduced.

This invention discloses a method for screening key neurotoxic substances in food raw materials and their products using a *C. elegans* model combined with metabolomics. Food samples are processed to prepare a stock solution, which is then used to cultivate *C. elegans*. The sample exhibiting the greatest neurotoxicity to the nematodes is identified by analyzing the number of *C. elegans* movements and neuronal fluorescence images. Subsequently, key neurotoxic substances in food are systematically screened using a combination of non-targeted liquid chromatography-tandem mass spectrometry (LC-MS / MS) and a metabolomics platform. This application establishes a novel method for screening neurotoxic substances by combining nematode activity with non-targeted LC-MS / MS determination and a non-targeted metabolic platform, clarifying key neurotoxic substances in food and providing a theoretical basis for food quality control and high-quality development.

The application discloses a lysozyme content detection method in food, and belongs to the technical field of biological medicine detection. The method comprises the following steps: constructing a lysozyme detection standard curve; reacting a food sample to be detected with a fluorescent probe in a buffer system, measuring the fluorescence intensity of the reaction system, and calculating the lysozyme content in the food sample to be detected based on the standard curve. The application adopts a fluorescence spectrum method to research and compare the performance of polypeptide CALNNK (FITC) and lysozyme under different buffer systems, pH, temperature and reaction time conditions, and then uses the method to detect the lysozyme content in food. The 20 nmol / L polypeptide CALNNK (FITC) , BR buffer solution with pH=10.0, 4 min of time and 35 DEG C of temperature are the optimal reaction conditions, the lysozyme content in food can be quickly and accurately detected, and the method has far-reaching significance for the healthy development of the food industry.

The invention discloses a QuEChERS-high performance liquid chromatography determination method for diarrheogenic illegal additives in food, and the method comprises the following steps: step 1, taking 2.0 g of a food sample, adding 10 mL of an extraction solvent, carrying out vortex oscillation-ultrasonic treatment, then adding anhydrous magnesium sulfate and sodium chloride, carrying out vortex mixing, carrying out centrifugal treatment, and extracting a supernatant; 2, taking 5mL of the supernate, adding the supernate into a purification tube containing purification salt, carrying out vortex oscillation-centrifugal treatment, taking the supernate, and enabling the supernate to pass through a 0.45 mu m polytetrafluoroethylene microfiltration membrane, so as to obtain a solution to be detected; and 3, injecting the solution to be detected into a high performance liquid chromatograph, carrying out gradient elution by adopting a C18 chromatographic column and taking acetonitrile-water as a mobile phase at a flow rate of 1.0 mL / min, a column temperature of 30 DEG C, a detection wavelength of 210 nm and a sample size of 10 [mu] L, and quantitatively analyzing a target compound through an external standard method. The invention aims to obtain a method for detecting illegal additives in food, which is low in cost and high in detection efficiency.

The invention provides an MOF-on-MOF composite material, an aptamer probe as well as a preparation method and application of the aptamer probe. The MOF-on-MOF composite material comprises an HKUST-1 material, the surface of the HKUST-1 material is coated with a Cu-BDC nanosheet; the synthesized HKUST-1 (at) Cu-BDC / Apt aptamer probe can specifically recognize AFB1, the aptamer probe can directly capture the AFB1 and adsorb the AFB1 to active sites on the surface of a material to reduce the nano-enzyme activity of the AFB1, so that quantitative colorimetric detection of the AFB1 is realized, and the aptamer probe has low detection limit, wide detection range, good selectivity and anti-interference performance on the AFB1 and can be used for detecting the AFB1. The AFB1 in a food sample can be rapidly, sensitively and selectively detected. In addition, the composite material has an adsorption effect and high catalytic activity on fungaltoxin, and AFB1 can be efficiently removed through the adsorption effect and the catalytic action.

The present application relates to a kind of high-efficiency screening methods for risk substances in animal-derived food, comprising the following steps: 1) after the pretreatment of the animal-derived food sample to be tested, non-target detection and analysis are carried out using chromatography-mass spectrometry platform, and original chromatography-mass spectrometry data are obtained;2) by global network optimization, filter food endogenous components, while using quartile range method to remove various background interference, extract suspicious risk substances;Suspected risk substances that meet the conditions of global network optimization and quartile range method filtering at the same time are retained;3) by database search and standard comparison, the structure of suspicious risk substances is annotated and qualified.The present application effectively removes the interference of food endogenous components on risk substance screening, improves the efficiency of non-target screening.On the other hand, it has significant advantages in the screening analysis and efficient locking of unknown risk substances in animal-derived food.The present application has the advantages of high screening accuracy and low false positive rate.

1. Name of the product in this design: Food Safety Supervision Integrated Machine. 2. Applications of this design: Suitable for catering enterprises, school canteens, wedding banquets, and other scenarios; enables mobile on-site monitoring of the kitchen and AI-based violation warnings through a built-in camera; handles morning checks for support staff (body temperature, health status, etc.), chef information reporting, banquet declarations, and food sample management functions. 3. The key design features of this product are its shape and structure. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to the technical field of food sampling, and discloses a sampling device for puffed food detection, which comprises a base and a conveyor belt, a motor is arranged on one side of the top of a stand column, one end of the motor is fixedly connected with a threaded rod, one end of the threaded rod is in threaded connection with a threaded seat, and the bottom of the threaded seat is fixedly connected with a hydraulic cylinder. The bottom of the hydraulic cylinder is fixedly connected with a transverse plate, the bottom of the transverse plate is fixedly connected with a suction device through a plurality of connecting columns, the suction device comprises an adsorption tank, a fixing frame and a fan, the hydraulic cylinder is started to drive the suction device to move downwards, the fan is started to suck a sample into the adsorption tank, and then a motor is started to drive the suction device to move downwards; a threaded rod rotates to drive a threaded seat, a hydraulic cylinder, a transverse plate and a connecting column to move, the connecting column drives a suction device to move to the position over a collecting vessel, finally, the suction device moves downwards, meanwhile, a sample in an adsorption tank falls into the collecting vessel, and collection of the sample is facilitated.

The invention belongs to the field of detection, and discloses a method for detecting staphylococcus aureus in bulk ready-to-eat food through semi-quantitative developing, which comprises the following steps: designing a specific primer aiming at a tuf gene of staphylococcus aureus; dNA is extracted from a bulk instant food sample to be detected to serve as a template; s2, template DNA is added into an isothermal amplification reaction system for a recombinase-mediated isothermal nucleic acid amplification reaction, wherein the isothermal amplification reaction system comprises the specific primer in the step S1 and SYBR Green I fluorescent dye; after the amplification reaction is completed, a color change judgment result of a reaction system is observed: yellow green fluorescence is judged to be positive under an ultraviolet lamp, orange is judged to be negative under the ultraviolet lamp, and DNA amplification only needs 15 minutes; amplification and detection are completed in one tube and one step at the same time, and the detection result can be accurately, simply, conveniently and rapidly judged according to the presence or absence of an S-shaped curve and the change of the color of a reaction system.

The application relates to a food sample quality monitoring method based on machine learning, and specifically as follows: a sensor array is arranged in a food sample environment, multi-dimensional physical and chemical characteristic data of the sample are collected in real time, a training set is constructed by using historical normal and deteriorated batch data, and a state is labeled; a machine learning model for food sample quality monitoring is constructed, sample data in the training set is input into the model, sequentially passes through a dynamic distribution alignment module, a physical constraint adversarial enhancement module and a multi-scale residual space-time network, dynamic attention mechanism enhancement is carried out by using physical constraints and environmental modulation, and finally a quality category probability is output by a multi-modal classifier; then, model loss is calculated, the model is iteratively trained, and a trained model is obtained; the trained model is deployed on a sample monitoring terminal, monitoring data newly collected are input, and the quality state of the food sample is predicted. The application can realize efficient and real-time quality monitoring of the food sample.

The invention belongs to the technical field of bioengineering, and discloses a specific identification primer and method for lactobacillus curvatus in human intestinal tracts and application. The identification primer comprises an upstream primer COG3825F1 and a downstream primer COG3825R1, the nucleotide sequence of the upstream primer COG3825F1 is 5 '-GTCACAACAAGACCGATTT-3', and the nucleotide sequence of the downstream primer COG3825R1 is 5 '-CTGTTTCTACAACTTGTGCT-3', and the nucleotide sequence of the upstream primer COG3825F1 and the nucleotide sequence of the downstream primer COG3825R1 are 5 '-GTCACAACAAGACCGATTT-3'. The specific COG3825 gene of the lactobacillus flexus is screened to serve as a target sequence design primer, and PCR, gel electrophoresis and qPCR verification show that the primer has extremely high specificity and sensitivity and can accurately distinguish the lactobacillus flexus from the related lactobacillus and other common intestinal bacteria under the complex micro-ecological background of the human intestinal tract; the identification method based on the primer is easy and convenient to operate and accurate in result, qualitative and quantitative detection of the lactobacillus brevis in human intestinal samples, food samples and other environment samples can be achieved, and important technical support is provided for related research, application development and micro-ecological monitoring of the lactobacillus brevis.

The utility model provides a food sample layered sampler with anti -cross pollution function relates to food sampling technical field, solved because need to insert the sampler into the sample inside, make its food sample layered between appear the mixing phenomenon, if sampling operation is carried out at this time, then can lead to the sample of food sample layered sample to appear mixing, and then influence the sampling quality between different layered samples. Food sample layered sampler with anti -cross pollution function, include: The shape of sampling support column is circular column structure, and sampling support column top rotates in transmission seat, when sampling food, through rotating transmission seat, its transmission structure of ingenious design starts to play a role, transmission seat drives rotating seat synchronous rotation through connecting pillar, the transmission board outside rotating seat turns along, and other layered samples that high -efficient and accurate can mix around sampling box effectively separate, avoid the cross -contamination between different levels of samples.

The application relates to the technical field of intelligent detection, and discloses an intelligent detection method and system for illegal addition of food and a storage medium. The method comprises the following steps: preparing a multi-target SERS substrate for interference suppression; extracting a food sample and injecting the substrate, and obtaining a multi-dimensional spectrum by scanning with three wavelengths of laser; performing noise reduction and alignment on spectrum data to extract characteristic peak fingerprints and form a unique identification matrix; training a multi-path parallel attention network to simultaneously identify multiple additives and concentrations through feature fusion. The application solves the problem that SERS technology is affected by interference substances such as citrate in food safety detection, resulting in insufficient detection sensitivity and specificity, breaks through the technical bottleneck that traditional methods are difficult to simultaneously detect multiple illegal food additives, and overcomes the problem that the existing technology lacks intelligent data processing, resulting in low accuracy and efficiency of detection results.

The utility model relates to a sampler technical field especially is a kind of small food sampler, including tube, the one side of tube is fixedly connected with sealing strip, tube bottom end is fixedly connected with connecting assembly, rotating sampling assembly is rotatably connected in tube inside, the inside fixed connection of connecting assembly has aeration assembly, rotating assembly is rotatably connected with aeration assembly outside, aeration assembly lower end is fixedly connected with air bag assembly, connecting assembly includes connecting ring, annular hole is arranged in the inside of connecting ring, annular groove is arranged in the bottom end of connecting ring, clamping groove is arranged in the inside of connecting ring, rotating sampling assembly includes rotating sampling piece, rotating sampling piece bottom end is fixedly connected with support connection magnetic block, the breakthrough fusion of miniaturization structure design and epidemic prevention safety performance is realized in the present application, ensure that the sample amount of each sampling operation is taken out accurately and up to standard, residual attached in device can also be removed by airflow disturbance, avoid the cross contamination between different batches of samples.

The utility model discloses a sample pretreatment device for gene detection of 10-50g food samples, which belongs to the field of gene detection of food and meat products and comprises a lower platform, and first to sixth food sample pretreatment units are sequentially arranged on the lower platform. Each food sample pretreatment unit comprises a pretreatment container and a rotary cutting unit, the volume of the pretreatment container is 50ml, the rotary cutting unit comprises a rotating shaft and a blade group for rotary cutting, the blade group for rotary cutting is connected to one end of the rotating shaft, the blade group for rotary cutting is located in a sample area in the pretreatment container, and the blade group for rotary cutting is connected to the other end of the rotating shaft. And the other end of the rotating shaft is positioned above the outside of the pretreatment container. According to the utility model, the pretreatment of 10-50g of food samples can be treated in a classified manner, and the problem of cross contamination is avoided.

The invention discloses a high-sensitivity wide-spectrum specific antibody for resisting parathion, parathion-methyl and fenitrothion, the high-sensitivity wide-spectrum specific antibody comprises a heavy chain constant region, a heavy chain variable region, a light chain constant region and a light chain variable region, and the amino acid sequence of the heavy chain variable region is as shown in SEQ ID NO: 2; the amino acid sequence of the light chain variable region coding gene is shown as SEQ ID NO: 4. The invention also provides an antibody expression plasmid. The obtained variable region sequence gene is respectively connected to an expression vector containing a heavy chain constant region gene and a light chain constant region gene, and a new recombinant full-length antibody is successfully obtained through an HEK293 (F) mammalian cell expression system. Based on the characteristics of stability and easy preservation of recombinant expression plasmids, the recombinant expression plasmids can be used for multi-batch repeated production of prohibited and limited organophosphorus pesticide recombinant antibodies for resisting parathion and the like; a stable and reliable core reaction reagent is provided for construction of an immunoassay method for multiple residues of organophosphorus pesticides such as parathion in a development environment and a food sample and development of a field screening product.

This utility model discloses a sample storage device for food testing, belonging to the field of food testing. The sample storage device includes a housing; the inner wall of the support plate and the surface of the second limiting clamp are provided with a convenient loading and unloading mechanism; the surface of the top of the constant temperature chamber is provided with an anti-contamination mechanism; and the interior of the holding slot and the inner wall of the door are provided with a high-safety mechanism. This utility model not only improves the convenience and practicality of the sample storage device during use, allowing for air filtration into the housing to maintain sample integrity, but also ensures effective sample storage, preventing contamination and spoilage during sampling. Furthermore, it enables real-time monitoring of the operator's procedures, ensuring the safety of food sample storage.