520 results about "Bacterial colony" patented technology

The invention discloses a system and method for identifying microbial contamination in food and cosmetics based on AI identification, and the method comprises the steps: collecting to-be-detected food or cosmetics as a detection sample, and obtaining the bacterial colony growth state of microorganisms in the detection sample; the method comprises the following steps: acquiring a microbial growth image through microscopic imaging equipment, and preprocessing the microbial growth image to obtain a target area of a microbial colony; constructing an AI recognition model by adopting a convolutional neural network, and obtaining the species and quantity of microorganisms in the detection sample; parameters of the AI recognition model are adjusted in real time according to the types and the number of the microorganisms, a preset microorganism limited standard threshold value is combined, a visual analysis report is generated, the AI recognition model is combined with a Faster R-CNN target detection method, precise classification and number statistics of the types of the microorganisms are achieved, a complete microorganism pollution analysis report is formed, and the method is suitable for popularization and application. And the accuracy and scientificity of the final identification result are improved.

The invention discloses low-temperature-resistant and high-salt-resistant aerobic pseudomonas kirschner kirschner K2 as well as a preparation method and application thereof. The preparation method comprises the following steps: carrying out low-temperature and high-salt enrichment culture; screening and domesticating, and monitoring the concentration of ammonia nitrogen; and after 3-5 times of enrichment culture, diluting the enrichment culture, further culturing until a macroscopic bacterial colony is obtained, and then picking and carrying out plate streaking to separate a pure strain. The invention also relates to application of the strain in preparation or prevention of nitrification and denitrification nitrogen removal drugs in treatment of high-salt nitrogen-containing wastewater. The strain is low-temperature-resistant and high-salt-resistant heterotrophic-aerobic denitrifying bacteria, has the characteristic of low temperature resistance, grows well at low temperature and high salt salinity, has higher heterotrophic nitrification-aerobic denitrification nitrogen removal capacity, is suitable for nitrogen removal treatment of high-salt wastewater such as food processing wastewater and landfill leachate, and has wide application prospects. The superiority is particularly obvious under a low-temperature condition.

The invention belongs to the technical field of plant disease control, and particularly relates to bacillus velezensis and application thereof. The bacillus velezensis strain is separated and screened from rhizosphere soil of wheat in a main wheat area in Hebei Province, the growth characteristics and physiological and biochemical characteristics of the bacterial colony are identified, then 16S rDNA sequencing is carried out, Blast homology comparison is carried out in a GenBank database, the bacterial strain is identified to be bacillus velezensis through the analysis, and the bacillus velezensis strain is identified to be bacillus velezensis. The fungicide containing the bacillus velezensis has a good prevention and treatment effect on wheat stem rot through seed coating.

The invention discloses a bacterial and sterile carbon-based differential bacterial colony calculation method based on visual auxiliary detection, and the method comprises the following steps: image collection: employing a high-resolution industrial camera, employing a macro lens and a telecentric lens, and shooting and collecting external bacterial colony data in a constant-temperature, constant-humidity and constant-pressure environment, the bacterial colony data comprises color features, shape features, texture features and gloss features; feature extraction: adopting an image processing algorithm to extract visual features of the sterile and sterile areas; difference value calculation: according to the extracted feature data, calculating the carbon base number value, and establishing a digital model by comparing the carbon base data difference under the bacteria and sterile states. The invention relates to the technical field of microbiological detection, the automatic image acquisition and processing flow of the invention significantly reduces the time required by the traditional colony counting method, and improves the detection efficiency. And the detection speed is greatly improved.

The invention discloses lactobacillus plantarum capable of relieving enteritis and toxicity of polystyrene nano-plastics, and the preservation number of the lactobacillus plantarum is CGMCC (China General Microbiological Culture Collection Center) NO.31420. The lactobacillus plantarum can be used for relieving enteritis and toxicity of polystyrene nano-plastics. The strain is obtained by separating and purifying baby feces, and can grow on an MRS culture medium, and the bacterial colony is round, off-white, smooth and opaque. Experiments show that the lactobacillus plantarum can effectively adsorb PS-NPs, promote the PS-NPs to be discharged along with excrement, reduce accumulation of the PS-NPs in organs, and significantly reduce toxicity and inflammatory response of organs such as liver and kidney of mice. In addition, the strain can repair the intestinal barrier function, regulate liver metabolism and relieve enteritis symptoms. The invention further provides a probiotic preparation containing the strain, and the probiotic preparation can be prepared into granules, capsules, tablets or oral liquid and the like and is used for preventing or treating intestinal injury and inflammatory diseases caused by PS-NPs. The strain is safe and efficient, and has a wide application prospect.

The invention relates to a selective chromogenic medium for separation and identification of streptococcus suis and a preparation method thereof, and belongs to the field of microbial culture. In the prior art, a streptococcus suis culture medium mainly focuses on increasing the content of streptococcus suis strains, but is not suitable for clinically separating and identifying the streptococcus suis, and other infectious microbes in a clinical sample are difficult to distinguish, so that separation fails. In order to overcome the defects in the prior art, the invention provides a selective chromogenic culture medium for separating and identifying streptococcus suis and a preparation method thereof, the culture medium comprises tryptone, soybean peptone and other components, and when the culture medium is used for separating pathogenic bacteria of a clinical porcine respiratory tract sample, the separation efficiency is greatly improved. The streptococcus suis can be accurately separated and identified according to the specific color development and growth state of the bacterial colony, the influence of other infectious microbes is remarkably reduced, and the method is suitable for being popularized and applied in the porcine respiratory tract sample treatment process.

The embodiment of the utility model provides mural degerming equipment, which relates to the technical field of cultural relic protection, is used for being matched with a cleaning soft brush for use, and comprises a box body, a vacuum pump, a purification mechanism and a negative pressure pipe. The vacuum pump, the purification mechanism and the negative pressure pipe are all installed in the box body, the negative pressure pipe communicates with the vacuum pump through the box body, and the vacuum pump is used for generating negative pressure in a pipe cavity of the negative pressure pipe. The negative pressure pipe is provided with an adsorption end located outside the box body, and the adsorption end is used for facing the mural body to form a negative pressure area on the mural body. And the purification mechanism is used for purifying gas sucked through the adsorption end. By means of the design of the device, diffusion and propagation of bacterial colonies in the cultural relic cleaning process can be reduced, pollution to the environment is reduced, and the adverse effect on the health of operators during cultural relic maintenance is reduced.

The invention discloses an artificial cultivation method of xylaria fungus sclerotium, and relates to the field of sclerotium cultivation. The method comprises the following steps: collecting xylaria producing sclerotia, obtaining spores by adopting a spore separation method or obtaining core tissues by adopting a tissue separation method, inoculating the spores or the core tissues on an enriched PDA culture medium to be cultured into bacterial colonies, selecting hyphae with vigorous growth vigor at the edges of the bacterial colonies, and performing purification culture until a mother strain only containing a single strain is obtained; performing gene sequencing to identify the strain; propagating the mother strain to obtain an original strain, inoculating the original strain into a sterilized solid culture medium, culturing in a dark place to obtain a cultivated strain, placing the cultivated strain on soil, reserving a space for sclerotium development around the cultivated strain, culturing in the dark place for 33-90 days, and harvesting the sclerotium. The xylaria sclerotium with single germplasm can be cultivated on a large scale, and the problems of wild resource shortage and germplasm mixing are effectively solved.

The invention relates to the technical field of raw milk detection, and discloses an automatic detection device for a raw milk sample, and the automatic detection device comprises a mechanical arm mechanism, an information acquisition mechanism, an incubation mechanism, a detection mechanism and a control mechanism. According to the embodiment of the invention, by arranging the mechanical arm mechanism, the mechanical arm mechanism can be used for automatically taking the sample, so that manual operation is not needed. By arranging the incubation mechanism, batch incubation and batch cleaning of the sample cups can be carried out, ultrasonic treatment can be carried out, the incubation rate and the cleaning rate are increased, and the cleanliness of the sample cups can be improved. Furthermore, according to the embodiment of the invention, the detection mechanism is arranged, so that the samples can be detected in batches, various items such as a raw milk viscosity item, a raw milk bacterial colony total number item and a raw milk somatic cell item can be detected at the same time, and compared with the current manual single item detection, the detection efficiency can be obviously improved.

The invention relates to a plant growth environment evaluation method based on root exudates data identification, and belongs to the technical field of plant growth evaluation.The method includes the steps that chemical component data of root exudates of each plant planting area is evaluated and analyzed, and the plant planting areas in the abnormal state are obtained; therefore, environment characteristic data in the target area and chemical component data of root exudates in the plant planting area in the abnormal state are obtained, knowledge graph analysis is combined to obtain disease types possibly generated by plant root growth, and finally early warning is carried out according to the disease types possibly generated by plant root growth. And related protection strategies are generated based on the types of diseases possibly generated by plant root growth. According to the method, bacterial colony analysis is carried out on the root analyte in combination with environmental factors, so that the bacterial colony type of the plant planting area is predicted, the type of germs is determined, prevention and control are carried out in advance, and economic losses are reduced.

The invention provides a top-down directional evolution method for growth-promoting microbiome of rice. The top-to-bottom rice growth-promoting microbiome directional evolution method comprises the following steps: step 1, selecting a microbiome with a growth-promoting effect on rice seedlings, combining Bottleneck + Migration into an LB culture medium for iterative culture, and after 15 rounds of non-selective iteration, transferring each round of iteration into a new LB culture solution; 2, respectively inoculating the flora subjected to 15 rounds of non-selective iteration in the step 1 into a Hoagland nutrient solution; 3, the nutrient solution samples with the flora added in the step 2 are respectively and equivalently added into rice seedling culture dish samples; 4, observing the growth vigor of the rice once every five days, and detecting morphological indexes such as leaf length and root length of the rice; 5, repeating the steps 1-4 on the inoculated flora screened in the step 4, and circulating for 5 times; the method has the advantage of screening out the microbiome capable of remarkably promoting the growth of the rice seedlings.

The invention relates to a domestication cultivation method and a high-density fermentation process of bifidobacterium longum, and the domestication cultivation method comprises the following steps: step 1, single colony separation: bifidobacterium longum is subjected to single colony separation, is cultured under an anaerobic condition until single colonies grow out, and is placed in an aerobic environment for several days; step 2, primary culture: during placement, selecting a plurality of grown single colonies every day, inoculating the single colonies into a dominant culture solution A for anaerobic culture to obtain a bacterial solution A, observing a bacterial turbid phenomenon or a bacterial precipitate generation condition in the bacterial solution, selecting the single colonies selected in the last day and the bacterial solution with the bacterial turbid phenomenon or the bacterial precipitate generation condition as industrial primary strains, and carrying out primary culture on the industrial primary strains; and preserving the bacterial liquid of the obtained industrial primary strain. After being domesticated and cultivated, the strain can be subjected to high-density fermentation under the aerobic condition by utilizing a pure plant nitrogen source, the fermentation condition is easy to control, the operation is simple, and the strain is suitable for industrial fermentation production.

The invention discloses a soil carbon sequestration microorganism isolated culture method under medium and high petroleum pollution stress and application, and the isolated culture method comprises the following steps: dispersing medium and high petroleum pollution soil surface soil in sterile water to obtain an original bacterial suspension containing carbon sequestration microorganisms, and carrying out gradient dilution on the original bacterial suspension; respectively coating on a carbon-source-free solid culture medium for culturing, purifying a bacterial colony obtained by culturing, and carrying out step-by-step amplification culture on a single bacterial colony obtained by purifying in a carbon-source-free liquid culture medium. The method has the beneficial effects that the invention provides the method for enriching and screening the indigenous indigenous efficient carbon sequestration strains with the carbon sequestration function from the medium-high petroleum pollution soil sample, and the four strains which can survive in the medium-high petroleum pollution stress environment and have good carbon dioxide sequestration capability are obtained through the method; the strains have potential pollution reduction and carbon sequestration synergistic capability, and a new technical path can be provided for green remediation and carbon sequestration of petroleum-contaminated soil.

The invention belongs to the technical field of aquatic product living body transportation, and particularly relates to a soft-shell crab transportation method. The method comprises the following steps: screening and cleaning, softening-keeping treatment, fresh-keeping treatment, microenvironment regulation and treatment after transportation. In the softening treatment, 0.1-3 PSU low-salt seawater containing 0.03%-0.08% of tetrasodium glutamate diacetate is used for soaking / covering, the fresh keeping is ethanol disinfection and 0.05%-0.30% of lemon grass oil emulsified spray, the temperature of the microenvironment is controlled to be 12-18 DEG C, the humidity is 85%-95%, and the oxygen content is 20.90-22.30%. After 72 hours of simulated transportation, the softness-keeping maintenance rate is greater than or equal to 88%, the survival rate is greater than or equal to 98%, the body surface bacterial colony inhibition rate is 91.4%, and the TVB-N value is 15.2 mg / 100g. The method realizes the synergy of softening, fresh keeping and live keeping, is suitable for large-scale transportation, and has high popularization value.

The invention discloses a method for simultaneously extracting melanin and a bacterial extracellular vesicle compound from porphyromonas gingivalis and application of the method. The method comprises the following steps: inoculating a solid culture medium with a porphyromonas gingivalis seed solution, and carrying out anaerobic culture overnight at 37 DEG C; picking single colonies, putting the single colonies into a liquid culture medium, performing anaerobic culture at 37 DEG C for 24 hours, and then putting the single colonies into a bacterial incubator to be continuously cultured until OD600 is equal to 1; centrifugally separating supernatant liquid, and centrifuging again to obtain clarified supernatant liquid; and filtering the clarified supernatant liquid, carrying out ultrafiltration centrifugation on the obtained filtrate, washing a filter screen with water to obtain a washing liquid, carrying out ultrasonic treatment to obtain a melanin and bacterial exovesicle compound, carrying out vacuum freeze drying, and storing the melanin and bacterial exovesicle compound in a refrigerator. The method is economical, simple and convenient, the bacterial outer membrane vesicles and the melanin can be extracted at the same time, and the melanin and bacterial outer vesicle compound can achieve the effects of an immune agonist and a photo-thermal agent at the same time under 808 nm near-infrared laser irradiation.

The invention discloses a method for detecting the lasting antibacterial performance of an antibacterial non-woven fabric, and relates to the technical field of antibacterial performance detection. The method comprises the following steps: carrying out multi-dimensional data acquisition on the antibacterial non-woven fabric to obtain a multi-dimensional data set; extracting a plurality of bacterial colony image features; performing antibacterial analysis on the surface of the antibacterial non-woven fabric on the plurality of environmental data to generate a plurality of antibacterial correlation coefficients; carrying out antibacterial performance attenuation modeling, constructing an antibacterial attenuation model, carrying out antibacterial performance trend analysis, and drawing an antibacterial performance attenuation trend curve; carrying out antibacterial contribution calculation according to the antibacterial performance attenuation trend curve to obtain an antibacterial contribution degree, carrying out antibacterial durability analysis on the antibacterial non-woven fabric to obtain a durable antibacterial analysis result, and generating an antibacterial suggestion. The technical problem that in the prior art, the evaluation dimension is single in the antibacterial property durability detection process of the antibacterial non-woven fabric, and consequently the accuracy of the detection result is insufficient is solved, and the technical effect of improving the comprehensiveness and accuracy of antibacterial property detection is achieved.

The invention discloses a method for producing 5-aminolevulinic acid by inhibiting expression of a global transcriptional regulatory factor gene mcbR in corynebacterium glutamicum. The method comprises the following steps: (1) constructing a pCRISPRi-mid-McbR plasmid and a pCRISPRi-high-McbR plasmid; (2) respectively introducing the plasmids into corynebacterium glutamicum Cgh3 through electrotransfection, verifying by using a bacterial colony PCR (Polymerase Chain Reaction) mode to obtain an expression strain Cgh3-m-McbR or Cgh3-h-McbR for inhibiting a global transcriptional regulation factor gene mcbR in the corynebacterium glutamicum, and fermenting to obtain 5-aminolevulinic acid; experiments prove that compared with a control strain Cgh3-pXi, the strain for inhibiting the expression of the global transcriptional regulation factor gene mcbR in corynebacterium glutamicum has the advantage that the yield of 5-aminolevulinic acid is increased by 1.27 times or more after fermentation.

The invention relates to a strain of Chryseobacterium sp. ZJUHULYY1 and application of the Chryseobacterium sp. ZJUHULYY1 in promotion of corn growth and iron absorption, and provides a strain of Chryseobacterium sp. ZJUHULYY1, which is preserved in China Center for Type Culture Collection on April 27, 2025, and has a preservation number of CCTCC NO: M 2025904. The strain of Chryseobacterium sp. ZJUHULYY1 is obtained by separating and purifying from rhizosphere soil of corn, and the strain of Chryseobacterium sp. ZJUHULYY1 is obtained by separating and purifying from rhizosphere soil of corn. The biological characteristics of the strain are as follows: after being cultured in an LB plate culture medium at 30 DEG C for 24 hours, the bacterial colony is round or oval, golden yellow, smooth and glossy in surface, neat in edge and negative in gram staining; when the strain is inoculated to rhizosphere of corn growing in calcareous soil, compared with a control group, the plant height, chlorophyll content, biomass and active iron content of the corn are all remarkably improved, the growth condition of the corn in the calcareous soil is effectively improved, and the absorption and utilization efficiency of the corn on iron elements is improved.

The utility model discloses a probiotic fermentation device for producing a pig feed additive, which comprises a tank body, a stirring and cleaning device and a cover body, and the stirring and cleaning device comprises a speed reducing motor and a moving device driven by a lead screw of the speed reducing motor; the moving device comprises a first fixing rod, a second fixing rod and a moving rod, wherein the first fixing rod and the second fixing rod are fixed to the two ends of the lead screw, and the moving rod is rotationally connected with the lead screw. According to the probiotic fermentation device for producing the pig feed additive, fermentation liquor can be fully stirred, the interior of the tank body can be fully cleaned, and bacterial colonies are prevented from being accumulated and attached to dead corners.

The invention relates to the technical field of detection, in particular to a high-throughput bacterial colony detection sensor based on multi-mode optics and spectrum fusion and a detection method thereof.The method comprises the steps that data of a bright field image, a multi-channel fluorescence image and a near infrared spectrum of a bacterial colony to be detected are collected, and metadata in the collection process is recorded synchronously; preprocessing the data, and extracting multi-dimensional features of bacterial colonies from the preprocessed data; performing fusion processing on the multi-dimensional features in combination with space-time sequence information; identifying and classifying bacterial colonies according to the fused multi-dimensional features; and generating a detection report containing traceability information according to a result after identification and classification. Through multi-modal synchronous data acquisition, targeted data preprocessing, multi-dimensional feature fusion and standardized recognition and classification, high-throughput accurate detection of bacterial colonies is realized, manual intervention is reduced, and reliability and traceability are improved.

A profiling device for brewing yeast blocks comprises a profiling part, a yeast treading part and conveyor belts, yeast materials are pressed into the yeast blocks in preset shapes by the profiling part, the yeast treading part is used for uniformly mixing the yeast materials, and the conveyor belts comprise a feeding conveyor belt, a profiling conveyor belt and a discharging conveyor belt and are used for conveying the yeast materials or the yeast blocks; the profiling part is provided with a rigid and flat profiling platform, a profiling oil cylinder is arranged on the upper portion of the profiling platform, the profiling face of the upper die is an arc-shaped profiling face or a wavy profiling face, a koji material is pressed and formed after being loaded on the lower die, and the profiling device is suitable for automatic operation, rapid in profiling and good in profile consistency. As the yeast material is firstly treaded by the yeast treading part, internal tissues are fully homogenized, and then the yeast material enters the profiling part to be profiled into yeast blocks, the profiling quality is good, the internal distribution of the yeast material is uniform, and the later-stage bacterium cultivation of bacterial colonies is ideal.

The invention provides a bacterial colony heterogeneous data separation method and device, equipment and a storage medium. Relates to the technical field of microbial colony heterogeneous data separation. The method comprises the following steps: performing hierarchical clustering on microbe single-cell Raman spectrum data to identify outliers; based on the outliers, performing de-noising processing on the single-cell Raman spectrum data of the microorganisms to obtain de-noised data; performing spectral clustering based on the de-noised data to obtain a spectral clustering result; wherein the spectral clustering result is used for identifying or marking bacterial colony cells in different growth periods; and evaluating the spectral clustering result by using a contour coefficient and a CH index to determine an optimal clustering number, and performing spectral clustering on the de-noised data based on optimal clustering data to obtain a final clustering result. According to the method, outlier detection, pruning optimization, spectral clustering and quantitative evaluation are combined, so that the precision and stability of microbe heterogeneity analysis are remarkably improved.

The invention relates to the field of environment and agricultural biotechnology, in particular to a phosphorus-solubilizing fungus, a phosphorus-solubilizing microbial inoculum and application thereof.The classification name of a phosphorus-solubilizing fungus strain XF2 is Penicillium deserticola, the strain XF2 is preserved in China General Microbiological Culture Collection Center (CGMCC) on January 9, 2025, and the preservation number is CGMCC NO: 41748. The bacterial colony characteristic of the strain XF2 is round, the edge is in a winding texture fluffy shape, the bacterial colony is yellow green or grey green, the surface is relatively smooth, and the bacterial colony can grow in a feather shape or a radial shape. Besides, after the strain XF2 is subjected to culture condition optimization, the phosphorus solubilizing amount can reach 874.3 mg / L. Therefore, the phosphorus solubilizing fungus has the advantage of high phosphorus solubilizing capacity, can be used for preparing a phosphorus solubilizing bacterial agent, has a very good application prospect, and particularly has a good application prospect in the aspects of dissolving phosphate ore and developing a phosphorus solubilizing fungus fertilizer.

The invention relates to the technical field of bacterial colony classification, in particular to a bacterial colony classification method and device based on an attention convolutional network and a computer readable medium, and the method comprises the steps: obtaining common bacterial colony images in food; labeling and enhancing the bacterial colony image to obtain an enhanced image; dividing the enhanced image into a training set, a test set and a verification set; training and verifying the attention convolutional network according to the training set, the test set and the verification set; and classifying bacterial colonies to be detected by adopting the attention convolutional network which passes the verification. The fusion space attention module, the self-attention module and the channel attention module are embedded into the Unet network. The technical problem of low bacterial colony classification accuracy in the prior art can be at least solved.

The invention discloses serratia marcescens serving as a biological control bacterium and application of the serratia marcescens in preparation of a soybean sclerotinia rot control agent, and belongs to the technical field of agricultural microbiology. The strain is preserved in the China Center for Type Culture Collection on November 29, 2024, the preservation number is CCTCC M 20242667, the strain is classified and named as Serratia marcescens G4, the bacterial colony is red, the surface is thick, smooth and moist, the bacterial colony is slightly glossy and opaque, and the strain can be used for preparing a soybean sclerotiniose control agent. The G4 strain can inhibit the growth of sclerotinia sclerotiorum and change the form of hyphae. Experiments prove that the serratia marcescens G4 separated from soybean rhizosphere soil is an effective biocontrol strain for preventing and treating the soybean sclerotiniose, and compared with the conventional chemical synthesis pesticide for prevention and treatment, the serratia marcescens G4 has the advantages of high efficiency, low toxicity, no environmental pollution, difficulty in generating drug resistance and the like, and has a wide application prospect and a good application value.

The invention discloses a rapid pathogen identification method and system, and belongs to the technical field of medical information processing. According to the method, space-time growth discrimination operation, multi-scale structure perception operation and microscopic focusing classification operation are combined, the dynamic trend of bacterial colonies from appearing to diffusion is accurately captured, low-contrast textures of micron-scale initial spots and the complex structure of millimeter-scale mature bacterial colonies are considered, a refined space context correlation model is established, and the dynamic trend of the bacterial colonies from appearing to diffusion is obtained. The method solves the problems that a traditional single-frame analysis method is insufficient in continuous modeling of the growth process and early-stage features are confused, the detection sensitivity of early-stage minute colonies is improved, rapid and accurate identification of pathogenic bacteria types is achieved, and the identification requirements in clinical rapid detection and complex microbial environments are met.

The invention relates to the field of artificial intelligence and microbial separation, and discloses a bacterial colony image recognition method, device and equipment based on a deep learning model, and the method comprises the steps: obtaining the mass center position and the bacterial colony area of a current bacterial colony, taking the mass center position of the current bacterial colony as the center point position, drawing a bounding rectangle corresponding to the current bacterial colony, and obtaining the bounding rectangle; selecting the coordinate of the external rectangle corresponding to the current bacterial colony as the current coordinate; selecting an image area where the current bacterial colony is located as a current bacterial colony image through the current coordinate; identifying the current bacterial colony image through the trained deep learning model to obtain a current bacterial colony category corresponding to the current bacterial colony image; transmitting the mass center position, the bacterial colony area, the current bacterial colony category and the bacterial colony height to a control system, and performing inoculation operation on the current bacterial colony through the control system. The identification efficiency of the current bacterial colony image and the inoculation efficiency of the current bacterial colony can be improved.

The invention discloses a low-temperature hot air drying preparation process of low-sugar preserved mangoes. The preparation process comprises the following steps: S1, pretreating mangoes; s2, blanching is conducted; s3, hardening and color protection; s4, rinsing is carried out; s5, performing sugaring; s6, sugar draining; s7, drying; and S8, cooling. The sensory score of the product prepared by the process is 86.96, and the product is golden in color, rich in fragrance and palatable in sour and sweet taste. The total sugar content is 35.88% and is obviously lower than that of the traditional high-sugar preserved fruit. And the water content is 21.78%. The hardness is 3216.35 + / -g, the cohesiveness is 0.88, the chewiness is 3155.35, the resilience is 0.56, and the texture property is good. The total bacterial colony number 1t; 10 CFU / g, and coliform bacteria are not detected.

The invention relates to the field of image processing, in particular to a probiotic tablet production traceability method and system, and the method comprises the steps: building a traceability matrix through collecting the data of temperature and humidity, pH, equipment number, pressure and the like in each link of strain selection, culture amplification, fermentation, drying, formulation, forming, coating, quality inspection, packaging and the like; the method comprises the following steps of: acquiring a bacterial colony image through high-definition camera shooting, extracting geometric and textural features of the bacterial colony through preprocessing, watershed and dynamic threshold algorithms, forming supplementary parameters, finally splicing all data, generating a unique traceability code through SHA-256 Hash, spraying the unique traceability code on a packaging unit, and meanwhile, performing uplink evidence storage, thereby realizing full-process product traceability. And quality safety is guaranteed. According to the method, data of each link and a bacterial colony image are integrated, features are extracted through a dynamic threshold watershed, and a traceability code is generated through SHA-256 encryption.

The invention discloses a modified nanofiltration membrane as well as a preparation method and application thereof. The preparation method comprises the following steps: S1, contacting a polyethersulfone-based membrane with a polycation solution and then with a polyanion solution, and circulating for at least one time; a nanofiltration membrane is obtained; s2, firstly combining the nanofiltration membrane with an amine substance, and then adsorbing a bacteriostatic agent to obtain the modified nanofiltration membrane, the bacteriostatic agent is an inorganic bacteriostatic agent containing metal ions. The modified nanofiltration membrane prepared by the preparation method disclosed by the invention has a good antibacterial effect, effectively avoids the defects that antibacterial components are dissolved and bacterial colonies exceed the standard in a use process, and also has a relatively long service life.