243 results about "Microbiological contamination" patented technology

The invention discloses a bottled oral liquid quality detection method and system based on image recognition, and aims to improve the production efficiency and product quality of pharmacy and food and beverage industries, clear bottled liquid images are automatically collected through a high-resolution camera and an industrial camera, and the bottled oral liquid quality detection method and system based on image recognition are obtained through preprocessing steps of graying, binaryzation, Gaussian filtering and the like. And the image quality and the detail definition are optimized. A Faster R-CNN algorithm is utilized to detect bottle mouth integrity and bottle body appearance defects, including seal integrity, foreign matter detection and bottle cap state, so as to ensure product closeness and appearance integrity. Whether the liquid filling amount is qualified or not is judged by analyzing the liquid level height and transparency of the liquid, and the possible microbial contamination risk is early warned. And finally, classification and feedback are carried out on detected anomalies in combination with a machine learning algorithm, real-time alarm and data recording are realized, and a reliable basis is provided for optimization of a production process.

The invention provides a puree production line microbial pollution risk real-time monitoring and early warning method, which comprises the following steps: deploying multiple types of sensors, an industrial camera and an operation log interface, collecting environmental temperature and humidity, pH value, dissolved oxygen, image and operation behavior multi-modal data in a fermentation tank in real time, and carrying out edge calculation and standardized preprocessing to obtain the microbial pollution risk of a puree production line. Data missing, abnormity and time sequence difference are eliminated; multi-modal features and a dynamic knowledge graph constructed based on a production process and a pollution event are fused, and a deep learning model and a graph neural network are utilized to realize microbial pollution risk probability intelligent prediction; risk grading and a dynamic weighting algorithm are introduced, grading early warning signals and disposal suggestions are automatically generated, and a production control system is linked to execute response measures; according to the subsequent production state, continuous feedback is carried out, the model and the early warning threshold are adjusted in a self-adaptive mode, and the accuracy, response efficiency and production safety of pollution early warning are remarkably improved.

The invention discloses a pseudo-ginseng seed storage method, relates to the technical field of seed treatment, and aims to solve the problems that pseudo-ginseng seeds are difficult to store, easy to lose vigor and severely mildew.The pseudo-ginseng seed storage method adopts a specially-made bionic microenvironment packaging unit to wrap the seeds, the inner layer of the specially-made bionic microenvironment packaging unit contains a moisture slow-release agent, and a bacteriostatic agent and active substances needed by germination can be intelligently released in a staged mode; the outer layer of the seed packaging box is a selective breathable film which integrates humidity and microbial contamination state indication functions and stress buffer characteristics, then the packaged seed is placed in an intelligent regulation and control storage cabin, and the temperature and humidity are accurately regulated and controlled by the storage cabin; gas components (such as low oxygen, high carbon dioxide or ozone) regulation and control, efficient air filtration and an intelligent monitoring and remote management system can be selected, the service life of the seeds can be remarkably prolonged, high germination rate and activity are kept, mildew is effectively inhibited, physiological after-ripening and germination are optimized, and intelligentization, standardization and refinement of seed storage management are achieved.

Various implementations, systems and methods are disclosed for continuous, near real-time, hands-off sampling of airborne particulate matter, and qualification and / or quantification of biomolecules in the sample representative for biologic or microbial contamination. The systems and methods may utilize an electrostatic precipitator for sampling the matter; and a measurement assembly configured to illuminate, excite, or breakdown the sampled matter by electromagnetic radiation, and to detect a spectrum, or one or more wavelength bands of the scatter emitted by the sample. In an exemplary implementation, a sputter deposition process is employed to configure the sample for an enhanced plasmon resonance. The measurement data may be transferred via wireless communication means for cloud storage and signal processing.

Disclosed herein are devices and systems for detecting microbial activity. A device (100) for detecting microbial contamination comprises a light source (20) that is configured to be optically coupled to an optical element (10), the optical element comprising a waveguide (2) and a diffraction grating (4), that together support a plurality of guided mode resonances at selected wavelengths of light from the light source. The device also comprises a condensing wall (40) having a condensing surface (50) on which liquid in gas (vapour) can condense, wherein the condensing surface is shaped, or engineered, to support flow of condensed liquids under gravity towards a collecting point (55) where the liquid can pool (6) around the optical element. The device further comprises a detector (30) configured to detect a property of a resonant guided mode of the plurality of resonant guided modes thereby to detect the presence or absence of microbes in the liquid that pools around the optical element.

The invention discloses a food safety risk assessment method and system based on model analysis, and relates to the technical field of food safety production monitoring, a production line virtual model synchronized with a physical production line in real time is constructed based on the structural parameters of a target production line, and the deviation of production line data is corrected through a model fusion algorithm, so that the risk assessment accuracy is improved. And identifying abnormal physical parameter inflection points strongly related to microbial pollution. According to the method, a production line virtual model is constructed through digital twinning, a model fusion algorithm is introduced, time-domain and frequency-domain multi-dimensional comparison and correction are performed on real-time misalignment data and historical steady-state data, instantaneous interference and systematic drifting are effectively filtered out, the corrected production line data are output, and the real-time misalignment data and the historical steady-state data are compared and corrected. And on the basis, abnormal physical parameter inflection points strongly related to microbial pollution are accurately identified, so that weak abnormal signals which are difficult to perceive by a traditional method can be captured in the initial stage of continuous production, and the early pollution risk perception capability for pathogenic bacteria is remarkably improved.

The present invention provides improved and / or shortened methods for expanding TILs and producing therapeutic populations of TILs, including novel methods for expanding TIL populations in a closed system that lead to improved efficacy, improved phenotype, and increased metabolic health of the TILs in a shorter time period, while allowing for reduced microbial contamination as well as decreased costs. Such TILs find use in therapeutic treatment regimens.

Compositions, testing chambers and methods for testing a fuel sample for microbial contamination (including fuels treated with a biocide) are provided, which comprise: a quantity of hydrocarbon fuel; a microbial contamination wherein the microbial contamination further comprises nucleic acid in the form of both DNA, RNA or a combination thereof, and an analyzing solution; wherein the analyzing solution comprises at least six (6) primer pairs for amplification of at least one target locus, wherein at least one primer of each pair of primers is labeled with a fluorescent dye and wherein at least one of the primer pair binds to the nucleic acid of the microbial contamination.

The invention discloses a bisphenol A degrading bacterium XYQ100 as well as a culture method and application thereof, and relates to the technical field of microbial pollution degradation and environmental pollution, the bisphenol A degrading bacterium XYQ100 provided by the invention is classified and named as sphingobacterium sp., and is preserved in the China General Microbiological Culture Collection Center on April 18, 2025, and the preservation number of the strain is CGMCC NO.34264. The bisphenol A degrading bacterium XYQ100 provided by the invention is named as sphingobacterium sp. The strain can realize efficient removal of bisphenol A pollutants, and the degradation rate of bisphenol A within 54 hours reaches 100%.

The application provides a rapid microbial contamination detection method and system based on ATP fluorescence detection. The optimal reaction conditions of different types of microbial samples are determined, a to-be-detected sample and an ATP fluorescence detection reagent are mixed and reacted to generate a reaction mixture with maximum ATP release efficiency; the gain level is automatically adjusted according to the preliminarily measured fluorescence signal intensity, the fluorescence signal intensity value of the reaction mixture is measured to generate an optimized fluorescence signal intensity value; the preliminary prediction result of the microbial contamination degree is generated by comparing and analyzing the optimized fluorescence signal intensity value with a preset microbial ATP content standard curve; the credibility of the detection result is evaluated, and the detection result is sent to a remote monitoring platform to realize real-time monitoring and early warning of the microbial contamination situation. The technical scheme provided by the application improves the accuracy and response speed of microbial contamination detection.

The invention discloses an on-line automatic cleaning device, and relates to the technical field of automatic cleaning, the on-line automatic cleaning device comprises a cleaning assembly and a drying assembly, a plurality of spraying cleaning balls of the cleaning assembly are distributed along an air inlet and exhaust pipeline, a cleaning medium can be sprayed to the periphery of the inner wall of the pipeline, compressed gas is introduced after flushing to take away the residual medium, and the drying assembly is communicated with the pipeline. A closed-loop path of cleaning medium spraying, residual water purging and drying is formed in the pipeline; a cleaning medium is sprayed at multiple angles and multiple speeds through the distributed spraying cleaning balls to cover the inner surfaces of more pipelines, the problems that traditional manual cleaning is not thorough and blind areas exist are solved, meanwhile, through the closed-loop process of cleaning, purging and drying, microbial contamination caused by residual water residues is avoided, the cleaning efficiency is further improved, and the defect that manual cleaning is low in efficiency is overcome.

The invention relates to the technical field of food preservation, in particular to a double-layer fiber membrane for food preservation and a preparation method and application of the double-layer fiber membrane. The first layer of the double-layer fiber membrane for food preservation is composed of sericin / pullulan, and the second layer is a polylactic acid-based membrane doped with FA-coated Ag-ZIF-8 nanoparticles. The double-layer fiber membrane realizes high selectivity to oxygen and carbon dioxide, realizes regulation and control of microenvironment gas atmosphere, and inhibits respiration, so that an excellent fresh-keeping effect is achieved. The double-layer fiber membrane has antibacterial and antioxidant functions, and can inhibit oxidative degradation and microbial contamination of perishable fruits. According to the technology, dual mechanisms of gas regulation and control and biological protection are integrated, an innovative scheme is provided for solving the rotting problem of perishable fruits, and the technology shows important potential in the aspects of promoting development of a food fresh-keeping technology and optimizing a sustainable packaging scheme.

The invention discloses a computer vision-based drug surface microbial contamination detection method, which comprises the following steps of: S1, acquiring a multi-angle drug surface image, and preprocessing to generate a standardized multi-modal image sample set; s2, constructing a phase feature modeling network based on improved PV-Net, and extracting a phase response diagram and a structure texture diagram; s3, constructing a candidate pollution region mask based on the phase response diagram and the structure texture diagram, and executing multi-modal region extraction; s4, executing channel alignment and boundary completion operations, and fusing to generate a cross fusion tensor; s5, inputting the cross fusion tensor into a pollution characteristic discrimination network, and outputting a pollution mask, a type label and a pollution level score; and S6, image rendering and pollution area visual output are completed according to a detection result, and structured detection data recording is supported. According to the invention, accurate identification and efficient detection of drug micro-pollution are realized, and the detection accuracy and the online application efficiency are improved.

The invention relates to the technical field of food packaging, in particular to a sealing machine for food packaging. Comprising a rack and a material pipe, and a vertical heat sealing mechanism and a transverse heat sealing mechanism are arranged on the rack; the transverse heat sealing mechanism comprises two transverse heat sealing machines, crow bars are rotationally installed on the machine frame and located below the two ends of the two transverse heat sealing machines, straight grooves are formed in the two ends of each crow bar, inserting rods are embedded in the straight grooves, the inserting rods in the straight grooves in the upper side are fixedly connected with the transverse heat sealing machines, and the inserting rods in the straight grooves in the lower side are fixedly connected with a moving plate moving horizontally. Flaring-shaped supporting hoppers are arranged on the opposite surfaces of the two groups of moving plates. The supporting hopper is used for clamping a formed packaging film, then a heat seal at the lower end of a packaging bag is isolated, food can only impact on the supporting hopper, and therefore the phenomena of material tensile deformation, sealing layer dislocation, even local cracking, falling-off and air leakage, liquid seepage or microbial contamination possibly caused by material impact are avoided.

The invention relates to a control method and system of an on-line spectrum analysis device for early warning of fermentation contamination. The method comprises the following steps: carrying out noise filtering and time sequence interpolation processing according to original spectral data and original process parameters to obtain a multi-modal time sequence tensor; on the basis of the tensor, spectral feature decoupling processing is carried out through an adversarial auto-encoder, and contamination sensitive features are obtained; calculating a reconstruction error and a KL divergence distribution offset of the contamination sensitive characteristics according to a preset auto-encoder to obtain a real-time anomaly score, and updating a fermentation early warning threshold based on an extreme value theory; and when the score exceeds an updated threshold value, performing model increment updating processing under knowledge distillation constraint, and generating an early warning instruction by dividing early warning grades. According to the method, through the technical means of confrontation feature decoupling, dynamic threshold calculation, anti-forgetting incremental learning and the like, the detection capability of microbiological contamination weak signals and the accuracy of early warning decision making are remarkably improved, and the early warning efficiency in a complex fermentation environment is further improved.

Compositions, testing chambers and methods for testing a fuel sample for microbial contamination (including fuels treated with a biocide) are provided, which comprise: a quantity of hydrocarbon fuel; a microbial contamination wherein the microbial contamination further comprises nucleic acid in the form of both DNA, RNA or a combination thereof, and an analyzing solution; wherein the analyzing solution comprises at least six (6) primer pairs for amplification of at least one target locus, wherein at least one primer of each pair of primers is labeled with a fluorescent dye and wherein at least one of the primer pair binds to the nucleic acid of the microbial contamination.

This invention relates to a method for detecting colorectal cancer tumor cell-associated microorganisms, specifically a method for eliminating intestinal fecal microbial contamination and detecting colorectal cancer tumor-associated microorganisms, belonging to the field of biotechnology. This invention initially eliminates fecal microbial contamination from the sample structure by coarsely shearing and enzymatically digesting the intestinal folds and villi; then, it uses a 40μm cell sieve to filter out incompletely digested tissue fragments, further eliminating intestinal fecal bacteria contamination, and collecting a single-cell suspension; subsequently, the collected single-cell suspension is repeatedly washed with 300g centrifugation to remove as many intercellular or loosely bound "transient bacteria" as possible, retaining intracellular and firmly colonized microorganisms. Ultimately, this eliminates the severe contamination from the large and complex fecal microorganisms, allowing the detection of tumor cell-associated microorganisms, which are already present in low biomass. This method is suitable for detecting microorganisms in gastrointestinal tissues that are in direct contact with the environment.

The invention relates to the technical field of seedling raising, and discloses an efficient tissue culture and rapid propagation seedling raising method for xanthoceras sorbifolia bunge, which comprises the following steps: selecting and pretreating explants, selecting current-year robust branches of the xanthoceras sorbifolia bunge, cutting stem segments with axillary buds as the explants, cleaning, trimming and disinfecting the explants, performing surface disinfection on the pretreated explants, and performing tissue culture and rapid propagation seedling raising on the pretreated explants to obtain the xanthoceras sorbifolia bunge. When the Xanthoceras sorbifolia Bunge is subjected to efficient tissue culture and rapid propagation seedling culture, an operation standard considering thorough sterilization and tissue activity protection is established by standardizing an explant selection standard and executing a step-by-step surface disinfection procedure, so that the microbial contamination rate caused by incomplete disinfection of the explant can be reduced, meanwhile, tissue activity damage caused by excessive disinfection is reduced, and the survival rate of the Xanthoceras sorbifolia Bunge is improved. Therefore, sufficient and healthy sterile initial materials are guaranteed to be obtained, the problems of high primary culture pollution rate and induction starting failure are solved, and a reliable foundation is laid for establishment of a whole tissue culture and rapid propagation system.

The invention relates to the technical field of baijiu production, in particular to a process for brewing tricholoma matsutake baijiu with distilled water, which comprises the following steps: firstly, selecting raw materials for pretreatment, using distilled water in the whole process, fermenting according to the flavor type requirement, distilling to obtain a stock solution, blending and ageing, and finally filling and packaging to obtain a finished product, and each link ensures the quality and flavor. By controlling the chloride ion concentration and the ferrous ion concentration in the solution, chlorides in the molten salt slag are completely contained in waste acid, insoluble substances are almost non-toxic and can be directly stacked, the distilled water white spirit brewing process can improve the purity of the white spirit, reduce impurities and peculiar smell, ensure stable quality, show fine and mellow taste and meet the hygienic standard, and the distilled water white spirit brewing process is suitable for large-scale popularization and application. The microbial pollution risk is reduced, the health is guaranteed, the requirements of different aroma types can be met, respective styles and characteristics are highlighted, the brand image can be enhanced, the storage life of the white spirit is prolonged, consumers are more relieved and satisfied, and products with higher quality are brought to the white spirit industry.

The invention relates to the technical field of biological medicine, and discloses an active peptide energy liquid for skin repair as well as preparation and application thereof, and the active peptide energy liquid comprises the following raw materials in content range: 96-99% of water; the content of the trehalose is 0.5%-1.5%; the content of the oligopeptide-1 is 0.05%-0.15%; the content of the oligopeptide-3 is 0.01%-0.1%; the content of the heptapeptide-6 is 0.01%-0.1%; the content of sodium dihydrogen phosphate is 0.01%-0.1%; the content of disodium hydrogen phosphate is 0.1%-0.3%, three active peptide components including oligopeptide-1, oligopeptide-3 and heptapeptide-6 are introduced, and the characteristics of low molecular weight and high biological activity of active peptides are utilized, so that the active peptides can penetrate into skin cells and promote collagen synthesis, cell regeneration and skin barrier repair, and therefore, the anti-wrinkle, whitening and repairing capacities of the skin are improved, and the anti-wrinkle, whitening and repairing effects of the skin are improved. The technical means of strict temperature control, multi-stage stirring speed optimization and nitrogen protection are adopted in the preparation process to ensure that the active peptide is not aggregated or inactivated in the preparation process, and meanwhile, oxidation and microbial pollution are prevented.

The present invention relates to a method for sanitising, disinfecting or sterilising microbially contaminated water-containing fluids, comprising treating the microbially contaminated water-containing fluid with an oxidising agent, wherein a fluorescence measurement is carried out on the water-containing fluid before, after and / or during treatment of the microbially contaminated water-containing fluid with the oxidising agent. The fluorescence measurement comprises irradiation with an excitation wavelength characteristic of a fluorescent protein and / or peptide building block and measurement of the corresponding fluorescence signal, and the method is characterised in that treatment with the oxidising agent proceeds in such a way that addition of the oxidising agent is controlled as a function of the fluorescence signal. The invention further relates to a corresponding device for sanitising, disinfecting or sterilising microbially contaminated water-containing fluid.

A water recycle system may be implemented to analyze and selectively recycle wastewater generated by an industrial textile washer. In some examples, wastewater generated by the industrial textile washer undergoes various treatment processes to generate a clarified wastewater that is stored before being recycled for reuse in the textile washer. Microbial contamination can grow in this stored water over time and the water can become odorous, which is undesirable when subsequently reusing the water to wash textiles. Systems and techniques can be implemented to treat the clarified water to control odor and / or microbial contamination, improving the effectiveness and quality of the water recycle system.

The invention discloses an edible fish collagen-based antibacterial active membrane as well as a preparation method and application thereof. The preparation method comprises the following steps: preparing silver carp skin collagen; the preparation method comprises the following steps: preparing an epsilon-polylysine / sulfobutyl-beta-cyclodextrin / carvacrol inclusion compound; the preparation method comprises the following steps: dissolving an epsilon-PL / SBE-beta-CD / CAR inclusion compound and silver carp skin collagen in ultrapure water, carrying out a stirring reaction at a certain temperature, adding glycerin, and carrying out stirring so as to obtain a membrane casting solution; and performing ultrasonic degassing on the membrane casting solution, injecting the membrane casting solution into a mold, storing the mold in a constant-temperature and constant-humidity box with the temperature of 26 DEG C and the relative humidity of 50% for 48 hours, and uncovering the membrane to obtain the edible fish collagen-based antibacterial active membrane. The preparation method is simple in technological process, and the prepared edible fish collagen-based antibacterial active film is high in antibacterial performance and good in mechanical performance. The invention provides an effective prevention and treatment strategy for the problem of microbial pollution.

The invention relates to the technical field of intelligent disinfection, and discloses an automatic disinfection microbial culture medium refrigeration generation method and system.The method comprises the steps that data normalization is conducted on multi-source environment data of a refrigeration mechanism, and an environment parameter sequence of the refrigeration mechanism is obtained; according to the environmental parameters in the environmental parameter sequence, performing weighted fusion on the contribution value of the microbial pollution risk in the microbial culture medium to obtain the current pollution risk value of the refrigeration mechanism in the current environment; dynamically adjusting a disinfection trigger threshold value of the refrigeration mechanism according to the accumulated operation time and the historical disinfection frequency of the refrigeration mechanism; when the current pollution risk value continuously exceeds a disinfection trigger threshold value, performing targeted disinfection treatment on the microbial culture medium; after disinfection treatment, recovering and maintaining the preset refrigeration temperature of the microbial culture medium, and returning to the step S3 to carry out closed-loop monitoring on the refrigeration mechanism; the refrigeration and disinfection effects of the microbial culture medium can be improved.

The present invention relates to a composition for controlling, containing and combating pest infestation and microbial contamination on surfaces, comprising an inorganic carrier material comprising silicon dioxide, titanium dioxide, silicates and / or phosphates, and a dye configured to absorb electromagnetic radiation of wavelengths between 400 and 800 nm, in particular between 500 and 700 nm.

The utility model relates to the technical field of food processing, and discloses a crushing and grinding device for food processing, which comprises a feed hopper, an ultraviolet lamp, a discharge hopper, a second electrically operated gate, a rolling device, a grinding device, a screening device, a stirring device and a pushing device. The cabinet body is arranged on the four supporting frames, the feeding hopper is arranged at the top of the cabinet body, the ultraviolet lamp is arranged in the cabinet body, the discharging hopper is arranged at the bottom of the cabinet body, the second electric door is arranged in the discharging hopper, the rolling device is arranged on the cabinet body, the grinding device is arranged on the cabinet body, the screening device is arranged on the cabinet body, and the stirring device is arranged on the cabinet body. The pushing device is arranged on the cabinet body. Due to the closed design and the sterilization effect of the ultraviolet lamp, microbial pollution can be prevented, and pollution of the environment to the raw materials is reduced.

The invention discloses a method for rapidly predicting microbial contamination of meat based on multi-modal fusion. The method comprises the following steps: acquiring spectrum and smell data on the surface of meat, extracting characteristics related to microbial metabolism, and establishing a quantitative relationship between the characteristics and the content of microorganisms (such as the total number of bacterial colonies) by utilizing a machine learning model, thereby realizing rapid and lossless prediction on microbial pollution. According to the method, the defect of long period of a traditional microorganism detection method is overcome, and an effective and rapid monitoring means is provided for microorganism safety risks in the meat production and circulation process.

The invention provides a method for increasing the germination rate of ancient lotus seeds, and belongs to the technical field of ancient lotus seed reactivation, and the method comprises the following steps: selecting seeds, physically breaking seed coats of the selected seeds, soaking the seeds in water for germination after the seed coats are physically broken, controlling physical conditions, adding a nutrient solution, and regularly checking the germination state of the seeds. After the seeds reach the transplanting standard, transplanting the seeds into a matched matrix culture; the germination success rate can reach 82.7 + / -3.5% (n is equal to 300). All operations need to be carried out in a sterile operation table (the cleanliness is ISO 5 level), and microbial contamination is avoided.

This invention provides an integrated device for controlling microbial contamination in seawater desalination, comprising a base, a high-pressure pump mounted on the left side of the base, an online flow cytometer system mounted on the base, and an RO membrane holder mounted on the right side of the base. The base facilitates the installation of the dosing mechanism, diaphragm pump, and online flow cytometer system. The high-pressure pump pressurizes and delivers seawater for subsequent desalination via the RO membrane. The online flow cytometer system monitors the microorganisms in the seawater delivered by the high-pressure pump and simultaneously controls the diaphragm pump to deliver the bactericide from the dosing mechanism upstream of the cartridge filter, sterilizing the seawater entering the RO membrane and thus extending the cleaning cycle and lifespan of the RO membrane.

The invention discloses a high-throughput detection system for microbial contamination in fermented food, and relates to the technical field of fermented food microbial detection, and the high-throughput detection system comprises a sample pretreatment module for performing differential treatment on pickled vegetables, fermented milk and the like and enriching microorganisms; the nucleic acid extraction module is used for extracting by a paramagnetic particle method; the high-throughput amplification module is used for detecting a sample at a time by using a digital PCR instrument; the detection and analysis module is used for laser fluorescence detection; a data storage and management module, an industrial-grade server and a cloud backup; and the quality control module contains a standard nucleic acid library, synchronously performs blank and negative and positive control, and does not pass sound-light alarm. The method is suitable for complex substrates of fermented food, detection is accurate and efficient, and the detection period is shortened; cross-laboratory data synchronization is supported, emergency response is quick, pollution can be quickly positioned, disposal suggestions can be provided, and fermented food quality supervision and risk prevention and control are assisted.