45 results about "Milk sample" patented technology

The application discloses a kind of based on GC-IMS pure milk flavor sensory digitalization fast evaluation method, belong to food analysis and evaluation technical field.The pure milk sample to be measured is detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.The fingerprint spectrum data or characteristic volatile component data is input into the OPLS-DA model, and the preference degree of pure milk is evaluated according to the clustering result.The construction method of OPLS-DA model is as follows: different pure milk samples are selected, and CATA sensory evaluation method is used for sensory evaluation of pure milk samples.Different pure milk samples are detected by headspace sampling using GC-IMS, and a fingerprint spectrum is obtained.Partial least squares-discriminant analysis method is used for regression modeling using fingerprint spectrum data or characteristic volatile component data to obtain OPLS-DA model.The application uses GC-IMS to digitally and quickly evaluate the flavor of pure milk, which has high sensitivity, does not require sample enrichment and concentration, saves detection time, and avoids tedious pretreatment process.

A sampling device for taking a representative milk sample from a milking device. The milking device includes a milking means, a milk jar, a milk hose, a milk tank, a milk line, a milk pump for pumping the milk, a milk meter for determining the quantity of milk milked, and a control unit. The sampling device includes a sample line with an input connection to the milk jar, the milk pump or the milk line, an output to a sample collection receptacle, and a control device controllable by the control unit based on the quantity of milk determined by the milk meter in order to direct, during pumping, a sample quantity of milk through the sample line. The control unit knows how much milk must be pumped and can take precisely enough milk samples distributed over the pumping operation such that an accurate representative sample is obtained.

This utility model relates to the field of food testing equipment technology, and discloses a food testing box for walnut milk production with a scraping structure. The box includes a body, a liquid level window fixedly provided on the surface of the body, a liquid level gauge fixedly provided on one side of the liquid level window, a scraper slidably provided inside the body, a silicone ring engaging with the surface of the scraper, a buckle hinged to the top of the body, and a lid engaging with the top of the body. A retainer is fixedly provided on the surface of the lid to engage with the buckle. The box can store walnut milk samples, and the liquid level can be observed through the liquid level window and gauge. The lid can be engaged with the buckle and retainer, allowing the scraper to be positioned inside the box. The silicone ring seals the scraper within the box, facilitating easy transport of the box, preventing sample spillage, and preventing sample contamination. A support assembly provides support for the box.

A milking system (100) is designed to extract milk from an animal (101). The system (100) includes several components for efficient milk sampling and biomarker detection. It is characterized by a feed cassette (140) holding multiple vials (150), at least one of which is prepared for biomarker detection. During milking, a milk sampler (300) transfers some milk into the selected vial (150). The system also has an animal identification device (116) for identifying the animal (101) and an information tagging device (370) for tagging the vials with relevant details. A controller (120) is connected to the identification device (116), the milk sampler (300), and the information tagging device (370). The system identifies the animal, determines whether biomarker detection is required, and, if necessary, signals the milk sampler to transfer milk into the appropriate vial and signals the information tagging device to tag the vial with the animal's identity. The system streamlines the process of collecting and analyzing milk samples.

A system and method for in-situ quantitative assessment of Bovine Mastitis (BM) in collected milk samples using optical imaging is disclosed. A bio-functionalized assay tray contains multiple wells, each having a gel with a specially prepared mixture of hemoglobin (Hb) and metal ions. At least one of the wells is filled with a reference milk sample which is characteristic of milk with no BM disease. Other wells are filled with collected milk samples. After waiting an interaction time, luminol and hydrogen peroxide solutions are added to the wells, causing chemiluminescent (CL) light emission. The intensity of CL light emitted by wells containing haptoglobin (Hp) is inhibited due to Hb-Hp binding. After waiting a CL light stabilization time, the tray is placed in a dark box, and a camera and image processor are used to analyze the CL light intensities. A calibration curve yields the Hp concentration in each well.

The invention discloses a method for detecting lactoferrin in milk based on a competition method test strip, which comprises the following steps: coupling heparin molecules with bovine serum albumin to obtain a heparin molecule-bovine serum albumin artificial antigen; modifying gold nanoparticles by using an artificial antigen to form a gold label I, and constructing a competition method test strip by matching with a gold label II modified by mouse IgG (Immunoglobulin G); a milk sample is subjected to centrifugal fat removal, pH adjustment and casein precipitation pretreatment and then dropwise added to the test strip, and the LF concentration is calculated through a T line gray value and a working curve. Detection can be completed within about 10-15 min, specificity is high (interference of impure protein is avoided), on-site rapid quantitative / semi-quantitative detection of LF in milk can be achieved, the antiviral activity of LF can be indirectly reflected through the binding strength of heparin and LF, the method is suitable for production quality inspection, dealer sampling inspection and consumer self-inspection, and the detection sensitivity reaches 1 microgram / mL.

The invention belongs to the field of biology, and discloses a PDCoV recombinant RBD protein and an IgA Elisa kit thereof, and the amino acid sequence of the recombinant RBD protein is as shown in SEQ ID NO. 1. The recombinant RBD protein is used for an indirect ELISA kit, can cover IgA response in the early stage of infection, can accurately recognize a PDCoV specific IgA antibody in a breast milk sample, and cannot cause false positive due to infection of other common pathogens in a pig herd; the indirect ELISA kit is good in stability (the intra-batch variation coefficient is 1.848%-6.062%, and the inter-batch variation coefficient is 4.504%-7.790%), the coincidence rate of the indirect ELISA kit and an immunofluorescence experiment reaches 93.26%, the repeatability and the coincidence rate are high, and the indirect ELISA kit has the advantages of simplicity and convenience in operation, short time consumption and large detection flux of an ELISA method, and is suitable for large-scale screening of clinical pig milk samples.

The invention provides a double qPCR (quantitative polymerase chain reaction) detection method capable of simultaneously detecting mycobacterium tuberculosis and mycobacterium paratuberculosis. An Rv3876 gene and an IS900 gene are selected as specific targets, a test result shows that the single qPCR detection sensitivity of mycobacterium tuberculosis and mycobacterium paratuberculosis is 1.35 * 10 < 3 > copies / microliter and 1.29 * 10 < 3 > copies / microliter and is improved by 10 times compared with a conventional PCR, a double qPCR detection method is established on the basis, the sensitivity of the double qPCR detection method is equivalent to that of single qPCR, and the specificity is good; in simulation of clinical milk sample detection, a sample boiling method is screened as an optimal method for extracting DNA of two pathogens, high specificity and sensitivity are achieved, interference of inhibitors in fresh milk can be effectively removed, detection stability is ensured, and the method is expected to be a powerful tool for rapid detection of mycobacterium tuberculosis and mycobacterium paratuberculosis in the fresh milk.

The application discloses a method for detecting ochratoxin A in milk based on a double-identification electrochemical sensor, and compared with other OTA detection methods, the sensor has a wider linear range (0-300nM) and a lower LOD (0.09nM) under optimal conditions; the sensor has high repeatability, stability and specificity, and the sensor has good feasibility in detection of different types of milk samples, and a good recovery rate of 95.4%-105.6% is obtained.

A milking system for sampling and analysing milk includes a milking device, a sampling device to extract a milk sample, and an analysis device for the sample. The analysis device includes a cassette with an analysis tape having a carrier layer with separate vertical flow analysis pads, a tape displacer, a sample provision device providing a droplet of the sample to a selected analysis pad, a sensor to sense a response in the analysis pad after provision of the sample, and a control unit. The analysis pads include a reagent pad with a reagent reacting with a predetermined compound in the sample, a priming pad with a priming agent to change a property of the sample that enhances the reaction, and a bonding layer between the reagent pad and the priming pad, and including a first and second adhesive layer, and a support layer therebetween.

A dispensing unit (110) for providing a milk mixture comprising milk and liquid to a milk analysis device (140). The dispensing unit (110) includes a first section (201) comprising a first fluid port (155), a first groove (121), a second fluid port (156), a second groove (122), a first fluid outlet (141), and a third groove (142). The first groove (121) extends from the first fluid port to a mixing chamber (120), and the second groove extends from the second fluid port to the mixing chamber. The third groove extends from the mixing chamber to the first fluid outlet. A second section (202) may be attached to the first section to form a first conduit by enclosing the first groove, a second conduit by enclosing the second groove, a third conduit by enclosing the third groove, and a closed mixing chamber by enclosing the mixing chamber.

The application discloses a buffalo milk adulteration identification method and system based on protein characteristic ratio and a Logistic discriminant model, and belongs to the technical field of dairy product quality and safety detection. The method is characterized in that the content of six key milk proteins in a milk sample is determined, three specific ratios of αs1-CN / α-LA, β-CN / β-LG and κ-CN / αs2-CN are calculated, a probability P is obtained by substituting the three specific ratios into a Logistic regression model P=1 / [1+exp(-(-1.4420-0.3264+1.8531-2.0471))], and whether the milk is buffalo milk is determined by comparing the probability P with a threshold value 0.67. The method has high identification accuracy and is suitable for rapid screening of dairy product quality.

The application discloses an A2 protein content detection optimization method in milk based on an ELISA technology, relates to the technical field of protein content detection, and comprises the following steps: collecting milk matrix interference detection data sets, establishing a milk matrix interference corrector, generating an ELISA dynamic detection module, preparing a milk sample to be detected, controlling the ELISA dynamic detection module to perform protein optimization detection on the milk sample to be detected, obtaining milk absorbance detection data, establishing an absorbance-concentration standard curve, and determining a milk A2 protein content detection result. The application solves the technical problem that, in the prior art, when the ELISA detects the A2 protein in milk, the detection is prone to component interference, and the adaptability to different types of milk is insufficient, resulting in poor detection accuracy and reliability. The application achieves more accurate detection of the A2 protein content in milk and stronger anti-interference capability, and improves the technical effect of the accuracy and reliability of the ELISA technology in detecting the A2 protein in milk.

The application belongs to the field of biology, discloses PDCoV recombinant RBD protein and IgA ELISA kit thereof, and the amino acid sequence of the recombinant RBD protein is shown as SEQ ID NO.1.The recombinant RBD protein is used for indirect ELISA kit, can cover early IgA response of infection, can accurately recognize PDCoV specific IgA antibody in breast milk sample, and will not cause false positive due to infection of other common pathogens in a pig herd; the indirect ELISA kit of the application is stable (the batch variation coefficient is 1.848%~6.062%, and the batch variation coefficient is 4.504%~7.790%), and the coincidence rate with an immunofluorescence experiment reaches 93.26%, the repeatability and the coincidence rate are high, the method has the advantages of simple operation, short time consumption and large detection flux, and is suitable for large-scale screening of clinical pig milk samples.

The application provides a photoelectrochemical sensor, a preparation method and application. The photoelectrochemical sensor is obtained by electropolymerizing a molecularly imprinted polymer on a BiVO4 / CuO-FTO electrode on the basis of the BiVO4 / CuO-FTO electrode, pyrrole as a functional monomer and terramycin as a template molecule. A three-electrode system is constructed by using the photoelectrochemical sensor, terramycin and a buffer solution are mixed to form a standard mixed solution containing different terramycin concentrations, and a photocurrent test is performed to obtain standard photocurrent signals of different terramycin concentrations. A standard curve is obtained by plotting terramycin concentrations as abscissa and the standard photocurrent signals as ordinate. A milk sample containing terramycin is subjected to the above photocurrent test operation to obtain a photocurrent signal, and the terramycin content in the sample solution is obtained by substituting the photocurrent signal into the standard curve. The application has the advantages of small size, simple operation, simple preparation, low cost, good specific selectivity and great application prospect.

The utility model provides a milk freshness detection device. The milk freshness detection device comprises a milk storage tank, a water pump, a quartz container, a light source and a near-infrared spectrometer, the milk storage tank is used for containing milk to be detected; milk in the milk storage tank is conveyed to the quartz container through the water pump and flows back to the milk storage tank; the light source and the near-infrared spectrometer are respectively arranged on two sides of the quartz container; near infrared rays emitted by the light source penetrate through the milk sample in the quartz container and then are received by the near-infrared spectrometer, and spectral data are collected, so that the freshness of the milk sample can be monitored and analyzed in real time on a production line, the quality of milk in the production process is ensured, and the production efficiency is improved. Delay and errors caused by traditional off-line sampling detection are avoided, the detection efficiency can be greatly improved, and waste of milk in the detection process can be effectively avoided.

The application provides a fluorescent aptamer sensor for detecting staphylococcus aureus, a construction method and application thereof, and relates to the technical field of biosensing. The sensor takes epoxy magnetic beads as a solid-phase carrier, fixes specific aptamers to form a recognition element, and hybridizes a signal conversion primer chain to form a magnetic bead-aptamer-primer compound; a signal amplification system is composed of a fluorescently labeled hairpin probe HP1 and a hairpin probe HP2; the detection principle is that after specific binding of target bacteria and aptamers, the signal conversion primer chain is released, a HCR signal amplification reaction is triggered, the hairpin probe is self-assembled into double-stranded DNA and the fluorescence is recovered, so that the signal is exponentially amplified. The detection limit of the sensor is as low as 5.3x10 1 CFU / mL, the detection can be completed within 75 minutes, the recovery rate of a spiked milk sample reaches 94%-110%, and the sensor can effectively distinguish non-target bacteria, and has the advantages of high sensitivity, high specificity, rapidness and simple operation.

The invention discloses a method for detecting streptomycin (STR) in milk based on a catalytic hairpin assembly signal amplification aggregation-induced emission fluorescence sensor and application, and belongs to the technical field of food safety detection. According to the invention, a tetraphenylethylene (TPE) derivative TPE-Py is wrapped in silicon dioxide nanoparticles (SiO2 NPs) to construct TPE-coated SiO2 NPs with AIE characteristics, and fluorescence signal amplification is realized by triggering CHA; then gold nanoparticles (AuNPs) are reduced on the DNA, and a fluorescent nano sensor AuNPs (at) TPE (at) SiO is constructed to quench fluorescence of the TPE (at) SiO; quantitative detection of STR is realized by constructing a linear relation between AuNPs (at) TPE (at) SiO2 and STR concentration, and the AuNPs (at) TPE (at) SiO2 is successfully applied to milk samples. The linear range of the fluorescent nano sensor is 3.75-105 nM, the lowest detection limit (LOD) is 1.12 nM, and the fluorescent nano sensor has good anti-interference capability, specificity and stability; the method is simple and easy to implement, the sensor is good in detection performance and high in detection efficiency, and a good analysis method is provided for monitoring of STR drug concentration.

The present application belongs to the technical field of dairy detection and traceability, and particularly relates to a buffalo dairy species identification method and system based on oligosaccharide spectrum and a logistic regression model. The method comprises: detecting the content of seven characteristic oligosaccharides (3FL, 3SL, 3SLN, 6SL, Le-XT, LNnT and LNT II) in a to-be-detected milk sample; inputting the content data into a pre-trained logistic regression classification model to obtain a prediction probability; and outputting an identification result according to the prediction probability. The present application firstly determines that the combination of the seven oligosaccharides can be used as a stable and efficient identification marker, and a classification model is constructed based on this. The identification accuracy of the method can reach 100%, the stability is good, the method is suitable for rapid and objective species identification of raw milk and processed milk, and has important application value in the field of dairy product quality control and product traceability.

The invention discloses a strain of Bifidobacterium pseudominutus for improving metabolic syndrome as well as a metagen, a related product and application thereof, and belongs to the technical field of microorganisms. According to the invention, a strain of Bifidobacterium pseudocatenum YLS-01 is separated, identified and screened from a fresh goat milk sample, and is preserved in the China Center for Type Culture Collection (the preservation number is CCTCC NO: M 2025068). According to the bifidobacterium pseudocatenum YLS-01 viable bacterium and the metastatic preparation thereof disclosed by the invention, the body weight, body fat rate, total cholesterol, triglyceride and fasting blood-glucose of a model mouse can be remarkably reduced, the sugar tolerance is improved, the liver injury is improved, and the effects of reducing blood fat and blood sugar at the same time are shown; and the effect of the bifidobacterium pseudocatenum YLS-01 after-generation preparation is obviously superior to that of viable bacteria of the bifidobacterium pseudocatenum.

A milking system (100) designed to extract milk from animals (101). The system (100) comprises several components for efficient milk sampling and biomarker detection. It is characterized by a magazine (140) holding a plurality of vials (150). During milking, a milk sampler (300) transfers some milk to a selected vial (150). The system also has an animal identification device (116) for identifying the animal (101) and an information marking device (370) for marking the vials with relevant details. A controller (120) is connected to the identification device (116), the milk sampler (300) and the information marking device (370). The animal is identified, it is decided whether biomarker detection is needed, and, if so, the milk sampler is signaled to transfer milk to the appropriate vial and the information marking device is signaled to mark the vial with the identity of the animal and which type of biomarker detection is to be performed. The system streamlines the process of collecting and analyzing milk samples.

The application discloses a kit for detecting milk alkaline phosphatase activity or adulteration of raw milk and application thereof. The kit comprises a chromogenic reagent and a standard color card for indicating alkaline phosphatase activity concentration or raw milk proportion, wherein the standard color card comprises at least two color blocks with different color depths, and each color block corresponds to a corresponding alkaline phosphatase activity concentration or raw milk proportion. The application also discloses application of the kit in detection of milk alkaline phosphatase activity or adulteration of raw milk, which comprises the following steps: (1) contacting the chromogenic reagent with a milk sample to be detected to perform a chromogenic reaction; and (2) comparing the chromogenic result with the color blocks of the standard color card to determine the alkaline phosphatase activity concentration or the range of raw milk proportion contained in the milk sample. The application is suitable for closedness inspection of a milk production line, quality sampling inspection and rapid screening of product milk, and has application prospects in the inspection of the milk production line and the quality sampling inspection and rapid screening of the product milk.

A UPC for detecting polycyclic aromatic hydrocarbons in milk 2 – A rapid analysis method using triple quadrupole mass spectrometry (TQMS) involves ultrasonic-assisted extraction of polycyclic aromatic hydrocarbons (PAHs) from milk samples, followed by purification and concentration of the extract, and then ultra-high performance chromatography-triple quadrupole mass spectrometry (UPCMS). 2 The concentrated sample was analyzed using a pre-prepared linear standard curve for polycyclic aromatic hydrocarbons (PAHs) to obtain the content of 17 PAHs in the milk. This invention can rapidly detect 17 PAHs in milk and has the advantages of good separation effect, short detection time, and high detection sensitivity.

Described herein are personalized skin care compositions including a cultured composition including a milk sample and a skin sample, and optionally an additive. Also described herein are kits and methods for making personalized skin care compositions. Also described herein are methods of treating or preventing skin conditions using personalized skin care compositions.

The invention discloses a method for determining the nitrogen index of protein in milk powder and application, and the method comprises the following steps: taking a milk sample, and dissolving in water to obtain an emulsion; adjusting the pH value of the emulsion to precipitate casein and denatured whey protein, and filtering to obtain a filtrate A; determining the nitrogen content in the filtrate A; mixing the filtrate A with a trichloroacetic acid solution to precipitate undenatured whey protein, and filtering to obtain filtrate B; determining the nitrogen content in the filtrate B; the difference value between the nitrogen content in the filtrate A and the nitrogen content in the filtrate B is the nitrogen content of the undenatured whey protein in the milk powder. The determination method disclosed by the invention has the characteristics of high universality, precision, accuracy, operability and the like, and provides a technical basis for determining the denaturation degree of the whey protein in the milk powder.

A milk analysis system (100) for counting individual somatic cells (410a, 410b) in a milk sample. The system comprises a measuring chamber (220) with an inlet (231), outlet (241), first plate (281), second plate (282), and wall element (283) forming an enclosed volume. A sensor (160) captures an image (270) through a transparent portion of the first plate. A controller (200) processes the image to determine a region of interest (275), counts individual somatic cells, applies a correction factor, calculates sample volume, and determines cell concentration. The controller controls the sensor, processes the image, counts cells, applies the correction factor, calculates volume, and determines cell concentration per volume based 10 on the corrected count and calculated volume.

This invention discloses an online multi-component analysis device for milk, comprising a housing and a milk sample container, a filter switching mechanism, a detection execution mechanism, and a supplementary lighting mechanism disposed within the housing. The filter switching mechanism includes a filter turntable and a rotation drive mechanism for driving the turntable to rotate. The turntable has multiple filter mounting holes, with different filters installed in different holes. The detection execution mechanism includes a photoelectric detection module and a detection drive mechanism for driving the photoelectric detection module to move spatially. In operation, the photoelectric detection module detects the milk sample in the milk sample container through the filters on the turntable. The supplementary lighting mechanism includes a light source module and a cylindrical light shield. The light source module is located inside the cylindrical light shield, which has light-transmitting holes. This device enables high-precision, rapid, and convenient multi-component detection of milk.

The invention discloses a method for rapidly and accurately detecting staphylococcus aureus in milk, and belongs to the technical field of microbiological detection.The method comprises the following steps that S1, a milk sample is pretreated; s2, staphylococcus aureus is enriched through immunocapture; s3, PMA treatment is carried out; step S4, extracting DNA (deoxyribonucleic acid); s5, real-time quantitative PCR detection: carrying out real-time quantitative PCR on the nuc gene, and quantifying the concentration of the active staphylococcus aureus through a standard curve; a milk sample to be detected is subjected to PMA treatment and DNA extraction to obtain a high-purity genome DNA solution, and real-time quantitative PCR detection is carried out. According to the scheme, the traditional culture step is replaced by immunocapture enrichment, and the bacterium enrichment time is shortened to 1 hour; by combining with a real-time quantitative polymerase chain reaction technology, electrophoresis detection after amplification is not needed, and the initial DNA template quantity can be directly calculated through fluorescence intensity change in the reaction process, so that accurate quantification is realized.

The application provides a fermented milk viscosity prediction method and device, electronic equipment and storage medium, and relates to the technical field of dairy product processing. The method comprises the following steps: establishing a constitutive model of fermented milk based on the influence of shear rate and temperature on the viscosity of fermented milk; fitting parameters of the constitutive model of fermented milk based on rheological property detection data of fermented milk samples with different formulas, to obtain structure dynamics parameters and temperature influence parameters of fermented milk with different formulas; and predicting the viscosity of fermented milk based on the constitutive model of fermented milk, and the structure dynamics parameters and temperature influence parameters of fermented milk with different formulas. The method and device provided by the application can accurately predict the viscosity evolution law of fermented milk products, shorten the research and development cycle of fermented milk products, and improve the research and development efficiency and product stability of fermented milk products.