86results about "Testing dairy products" patented technology

A method for categorising cheese, comprises: exposing a surface of the cheese to light; collecting spectral data from the surface of the cheese for at least two, at least three, or at least four wavel

Described herein is an in-line sensor for sensing properties of a pulsed milk flow on a continuous basis. A milking cluster comprising multiple pulsed milk flow inputs from lactating animal teats and a mixing point or claw for the multiple inputs is described that includes multiple in-line sensors for each pulsed milk flow input. Methods of use of the in-line sensor and milking cluster are also described. The in-line sensor described may be easily integrated into existing milking apparatus, is reliable, has a low cost, and is self-cleaning / self- emptying.

The application relates to the technical field of biological detection, and particularly relates to a sample processing liquid and application thereof in ELISA detection of milk and milk products. The sample processing liquid comprises the following components in percentage by weight: 2-3% of ethylenediaminetetraacetic acid disodium salt dihydrate; 0.075-0.125% of trichloroacetic acid; 10-30% of methanol; and the balance is ultrapure water; and the sample is milk and milk products. The sample processing liquid provided by the application can efficiently and conveniently reduce the matrix interference of milk and milk products in ELISA detection, so that the accuracy, precision and recovery rate of detection can be significantly improved.

Disclosed herein are methods and systems for rapid detection of microorganisms such as Listeria spp. in a sample. A genetically modified bacteriophage is also disclosed which comprises an indicator gene in the late gene region. The specificity of the bacteriophage, such as Listeria-specific bacteriophage, allows detection of a specific microorganism, such as Listeria spp. and an indicator signal may be amplified to optimize assay sensitivity.

This invention provides a composition for determining unpleasant flavors derived from milk proteins and a composition for simulating unpleasant flavors derived from milk proteins. [Solution] A composition for determining unpleasant flavors derived from milk protein, containing one or more compounds selected from group A below, and a pseudo-unpleasant flavor composition of milk protein, containing one or more compounds selected from group A below. (Group A) 2-Propyl-2-octenal, 2-Pentylpyridine, 2-Butyl-2-octenal

The utility model discloses a residual drug detection device for animal-derived food, which relates to the technical field of detection devices and comprises a drug detection equipment box, a detection chamber is arranged at one end of the top of the drug detection equipment box, and a glass cover is movably mounted at one end of the detection chamber. A control display screen is fixedly installed at the other end of the top of the medicine detection equipment box, a carrying plate is movably installed in the detection chamber, a feeding plate is movably installed at the top of the carrying plate, and limiting mechanisms are arranged on the two sides of one end of the feeding plate. Through mutual cooperation of the baffle, the limiting groove, the movable push block, the connecting plate, the springback column and the spring, the movable push block is manually pushed to move towards the outer side, so that the connecting plate is driven to move out of the limiting groove, the baffle loses the limiting acting force, the top plate and the baffle are pushed in cooperation with the springback force of the springback column and the spring, one end of the baffle is tilted, and the baffle is fixed. Workers can conveniently disassemble and replace the baffle, and better detection of the device is facilitated.

The application discloses a kind of based on mathematical programming method's milk fat product formula determination method and device, wherein the method includes: obtaining the preset constraint condition of milk fat product formula;With production demand as target, with the kind of raw material to be selected, the amount of raw material to be selected as decision variable, establish objective function;Under the preset constraint condition, the objective function is solved, and a group of decision variables that meet production demand is obtained, and the group of decision variables is used as milk fat product formula.The application can efficiently design milk fat product formula, and the designed formula meets the requirements of production efficiency and cost benefit while meeting the requirements of nutrient content, reduces the dependence of formula design on the experience of practitioners.

Provided are: powdered milk having excellent formability; a method for producing solid milk using the same; and solid milk. The present invention also provides a method which is for measuring the average sphericity of a powder, and with which it is possible to analyze the shape of a powder in which fine particles are aggregated. Powdered milk 1 according to the present embodiment has an average sphericity Φave of 0.66 or less. The average sphericity is measured by a measurement method including the following steps (a)-(c). (a) An image acquisition step for acquiring a three-dimensional image obtained by imaging each particle constituting powdered milk. (b) A three-dimensional model creation step for creating a three-dimensional model of each particle constituting the powdered milk on the basis of the three-dimensional image. (c) An average sphericity calculation step for calculating the average sphericity of the powdered milk from the three-dimensional model of each particle constituting the milk powder. Due to said feature, the present embodiment can provide powdered milk 1 having excellent formability.

This invention provides a method, apparatus, electronic device, and storage medium for testing dairy products, relating to the field of food processing technology. The method includes: controlling a robotic arm to grasp a current sample bottle; identifying the sample identifier on the current sample bottle; determining the testing items for the dairy product sample in the current sample bottle; determining the corresponding testing instrument for the testing items; controlling the robotic arm to transfer the current sample bottle to the testing instrument, so that the testing instrument can test the dairy product sample in the current sample bottle and generate a corresponding test result for the dairy product sample; receiving the test result sent by the testing instrument; generating a traceability identifier for the dairy product sample based on the sample identifier and the device identifier of the testing instrument; and associating and storing the test result and the traceability identifier for the dairy product sample. The method and apparatus provided by this invention enable automated testing of dairy product samples in multiple sample bottles using multiple testing instruments, improving the efficiency and accuracy of dairy product testing.

Milk quality can be compromised by physiological conditions affecting dairy mammals, notably mastitis. Mastitis is an inflammatory disease of the mammary gland that may pose significant health and economic challenges. To address this, a system is proposed for monitoring at least one mammal to predict the onset of a clinical condition, such as, for example, mastitis. The system may be configured to sense one or more characteristics descriptive of mammal-related information, receive sensor data corresponding to those characteristics, and process the data to forecast the onset of mastitis within an upcoming time interval. Early detection enables timely intervention, promoting animal welfare and preserving milk quality.

The present disclosure relates to a method for detecting methane reduction by using a methane reduction tool on ruminant livestock. The method comprises measuring a ratio of carbon isotopes in material from the ruminant livestock using the methane reduction tool to obtain a measured value, and determining a reference value indicative of a reference carbon isotope ratio of material from the ruminant livestock without the use of the methane reduction tool. The method further includes determining a difference between: (a) the reference value, and (b) the measured value; and detecting the methane reduction based on the difference.

The application discloses a food production monitoring device based on Internet of Things technology and relates to the technical field of food production monitoring devices; the device comprises a center table, a detection mechanism is arranged on the center table, a conveying mechanism for conveying containers is installed on the outer side of the center table, the conveying mechanism comprises a rotating table, a plurality of placement areas for placing containers are arranged on the rotating table, the placement areas are arranged in a circumferential distribution mode with the rotating center of the rotating table as the center, the rotating table is rotatably installed on the outer side of the center table, and a rotating control part for controlling the rotation of the rotating table is installed on the center table; the detection mechanism comprises a center column, a sliding sleeve is slidably connected to the outer side of the center column, the sliding sleeve and the center column are connected through a sliding sleeve spring, a connecting arm is fixed to the outer wall of one side of the sliding sleeve, and a detection head is installed at one end of the connecting arm.

An apparatus (100) arranged to determine the quality of a lateral flow stick (110b) disposed on a carrier (120) in order to determine biomarkers in milk of an animal (301). The apparatus (100) comprises a camera (130) for capturing an image (200) of the lateral flow stick (110b), a marker (140) arranged to apply a visual indication (180) indicating the quality of the lateral flow stick (110b) on the lateral flow stick (110b) or the carrier (120), and a controller (150). The controller (150) is configured to obtain the image (200) of the lateral flow stick (110b), perform image processing of the image (200), determine the quality of the lateral flow stick (110b) based on the image processing, and apply the visual indication (180) via the marker (140). Also disclosed is a method (400) on a farm for inspecting the quality of the lateral flow stick (110b) by detecting the provided visual indication (180).

The invention provides a screening method of an alpha-lactalbumin detection antibody and application of the screening method in alpha-lactalbumin detection and dairy product process authenticity evaluation, and relates to the technical field of dairy product process detection. The screening method of the detection antibody for recognizing the lactalbumin comprises the following steps: taking animal serum immunized by alpha-lactalbumin, carrying out affinity purification to obtain candidate antibodies, and carrying out primary screening and final screening on the candidate antibodies to obtain the detection antibody. The detection antibody screened by the method is highly specific to alpha-lactalbumin, cross reaction of other proteins in a milk matrix can be avoided, and the reliability of actual detection is ensured. According to the invention, a screened detection antibody is also utilized to construct a'hot processing parameter-ELISA antigen recognition performance 'correlation model, and an efficient technical means is provided for rapid traceability of hot processing technologies such as milk pasteurization and UHT technology.

The utility model relates to the technical field of cow milk detectors, and discloses a portable fresh cow milk rapid detector which comprises a detector body, a water inlet pipe and a discharge pipe which are communicated with the detector body, a bottom plate fixedly connected to the bottom of the detector body, and a rotating shaft rotationally penetrating through the bottom plate, the surface of the rotating shaft is fixedly sleeved with a first shielding frame, and the surface of the first shielding frame is fixedly connected with an organ cover. When the cow milk detector is used, the detector body can be covered, a worker can carry the detector through an auxiliary mechanism, in addition, when the detector is used, fresh cow milk discharged after detection and sewage can be collected, so that normal proceeding of subsequent detection operation can be facilitated, and the problem that part of existing cow milk detectors are inconvenient to move when moving is solved. The problems that a cow milk detector needs to be carried by two hands of a worker, the process is inconvenient, and in the carrying process, the cow milk detector is directly exposed to the outside, and the safety is poor are solved.

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.

System (100) for producing a milk sample from only one animal. The system comprises: a milk conduit (112, 125, 123, 121); a milk supply regulator (113) arranged to act on the milk conduit; a mixing chamber (120) connected to the milk conduit; a first liquid container (167); a first liquid conduit (186, 185, 184) connected to the milk conduit; a metering pump (166) connected to the first liquid container and to the first liquid conduit. The metering pump is configured to advance a first liquid from the first liquid container to the milk conduit. The metering pump is further configured to dose milk into the mixing chamber by advancing the milk in the milk conduit into the mixing chamber by advancing the first liquid to the milk conduit via the first liquid conduit.

This invention discloses a multi-segment pipeline device and driving method for online detection of raw milk with bypass diversion function. The device includes a main detection pipeline and a bypass pipeline. The main detection pipeline is sequentially arranged along the milk flow direction, including a first lateral drainage connector, an upstream isolation valve, a detection section, a downstream isolation valve, and a second lateral drainage connector. Both the first and second lateral drainage connectors are connected to the bypass pipeline. When the upstream and downstream isolation valves are closed, a detection space is formed within the detection section. The top of the detection section has an openable top cover, and the bottom has a lens connected to external detection equipment via a flange. The driving method involves stopping a portion of the raw milk in the detection section for detection through the upstream and downstream isolation valves, while the remaining raw milk flows through the bypass pipeline. This device can achieve online detection without affecting the milking negative pressure environment and milk collection continuity, and allows for the extraction of milk samples from the detection section for offline analysis, enabling real-time quality monitoring.

Arrangement (100) for aligning a needle (150) / dry stick (110) when applying an animal milk sample. The dry stick (110) indicates a biomarker value of the milk sample. The arrangement (100) comprises a carrier (115) with the dry stick (110); a tube element (155) for receiving the milk sample; the needle (150) connected to the tube element (155); a light source (160) illuminating the dry stick (110); a camera (120) configured to capture an image (300) of the dry stick (110) and its shadow (111); a drive unit (170) for moving the carrier (115) / dry stick (110); and a controller (130). The controller (130) triggers the camera (120) to capture and provide the image (300). Image analysis of the image (300) is made and a signal is provided to the drive unit (170) to move the dry stick (110) into position wherein the needle (150) applies the milk sample.

The invention provides a UHT milk flavor simulation method. According to the method, the raw milk is subjected to low-pressure heat treatment before being subjected to UHT treatment so as to simulate the flavor characteristics of the UHT milk, so that the flavor characteristics of the raw milk are closer to those of the UHT milk, and the purpose of controlling the quality of the raw milk is achieved. According to the method, the flavor characteristics of the UHT milk can be efficiently and quickly simulated, and subjective errors and production cost are reduced by preliminarily predicting the flavor characteristics of the raw milk subjected to UHT processing.

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.

A device comprising a milk channel is disclosed. The milk channel has a first part and a second part, wherein a first value of at least one optical property of the first part is different than a second value of the optical property of the second part.

The present application relates to systems and methods for determining feed intake of a cow. A system for determining feed intake of a dairy cow, the system comprising: at least one sensor configured to be positioned on a collar and / or ear tag of the dairy cow, wherein the sensor is configured to collect data associated with head movement of the dairy cow; a processor in communication with a memory module having program code stored thereon, the program code executable by the processor to: receive signals from the at least one sensor, preprocess the received signals by classifying different time blocks of the received signals into behavior categories of the dairy cow, extract a plurality of features based at least in part on the classified time blocks, and calculate a feed intake of the dairy cow based on the extracted one or more features.

This invention relates to the field of beverage stability assessment technology. To address the problems of existing methods for evaluating the suspension performance and processing tolerance of colloidal microcrystalline cellulose in neutral milk beverages, which involve large workloads, high raw material requirements, high-level equipment, and long evaluation cycles, easily leading to a loss of product competitiveness, this invention discloses a rapid method for evaluating the application performance of colloidal microcrystalline cellulose in neutral milk beverages. The method evaluates the colloidal microcrystalline cellulose by detecting the dry powder particle size d(0.9) and D[4,3] of the tested colloidal microcrystalline cellulose, and by detecting the centrifugation sedimentation rate, oil bath tolerance time, and pouring score after oil bath in the mixture containing the tested colloidal microcrystalline cellulose. This method can quickly determine the processing suitability of microcrystalline cellulose in neutral milk beverages, providing theoretical guidance and basis for production applications. The short evaluation time can effectively shorten the product development cycle, and the method has low equipment requirements and is easy to operate.

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 invention provides a multi-mode dairy acidity detection method and system, and is suitable for the technical field of data processing, and the method comprises the steps: generating a plurality of pieces of to-be-detected dairy association information according to to-be-detected dairy spectral information, to-be-detected dairy electrochemical information, to-be-detected dairy physical parameter information and a preset to-be-detected dairy information association vector; and based on preset dairy acidity grade quantity information, performing classification processing according to the multiple pieces of to-be-detected dairy association information, and generating multiple pieces of to-be-detected dairy acidity detection information. The method and the device are used for realizing multi-dimensional and all-directional detection of the acidity of the dairy product, the accuracy and the reliability of detection of the acidity of the dairy product are remarkably improved, different acidity grade division requirements are met, and the application scene of rapid and accurate detection of batch samples in dairy product production and quality inspection is met.

The utility model relates to the technical field of dairy product detection, in particular to equipment for detecting starch doped in dairy products, which comprises a base bottom frame, a control keyboard is fixedly connected to the upper part of the front end of the base bottom frame, a mixing tank is fixedly connected to the right part of the upper end of the base bottom frame in a penetrating manner, and a through threaded pipe hole is formed in the middle of the upper end of the mixing tank. An annular clamping groove is formed in the middle of the upper end of the mixing tank, the threaded pipe hole is formed in the inner side of the annular clamping groove, a detachable feeding structure is movably connected to the interior of the threaded pipe hole in a threaded mode, the lower portion of the detachable feeding structure is located on the upper portion in the mixing tank, and an inner wall scraping structure is fixedly connected to the right portion of the lower end of the base bottom frame. According to the equipment for detecting the starch doped in the dairy product, the detachable feeding structure is used for feeding, the inner wall scraping structure and the tank wall spraying structure are used for cleaning the mixing tank, and the discharge pipe and the communicating pipe are matched with the starch detector to realize the starch detection of the dairy product, so that the detection accuracy and the equipment cleaning and maintenance are effectively guaranteed.

The invention discloses a raw material raw milk flavor detection and evaluation method, which uses a pressure cooker to replace a traditional electric furnace heating evaluation mode, simulates an ultra-high temperature sterilized milk production process, and comprises a gradual heating process and a gradual cooling process, and can realize obvious identification of bad flavor of raw milk. Potential safety hazards of personnel caused by explosion boiling due to heating of an electric furnace can be avoided, and the device is particularly suitable for ultrahigh-temperature sterilized milk products needing high-temperature treatment. The accuracy of the method is higher than that of a conventional detection method, the risk of taste and smell change of the raw milk after high-temperature sterilization can be evaluated in advance, batch unqualified products caused after the raw milk is put into production are avoided, and the method has important significance on production of milk products.

The present invention relates to novel detection systems for amine compounds for monitoring the storage condition of food products.