170results about "Testing dairy products" patented technology

To provide an evaluation method of flavor degradation of container-packed milk at the time of being stored at a room temperature.SOLUTION: A milk flavor evaluation method includes a quantification step of quantifying (Z)-6-dodecene-4-olide. The milk may be milk stored at 15 to 40°C. The quantification step may be a step of quantifying a content of (Z)-6-dodecene-4-olide contained in the milk by a GC-MS method.SELECTED DRAWING: None

The invention relates to the technical field of food microorganism detection, and discloses a real-time detection method for microbial pollution of normal-temperature pure goat milk. The method comprises the following steps: dividing a target goat milk sample into a plurality of detection units representing independent production batches, collecting microbiological detection data, physicochemical property data and spectral characteristic data of each unit, and integrating to form a multi-source detection data set; and constructing a pollution risk scoring index and a quality stability evaluation index based on the data set, and dynamically generating an initial pollution risk value through an early warning trigger mechanism and model operation. And dynamically correcting the initial pollution risk value according to the time sequence correlation of the adjacent detection units to generate a corrected risk value. And performing sorting processing on the corrected risk values, creating a risk level priority form, and connecting a real-time monitoring platform to perform visual display and alarm output. According to the method, multi-source data fusion analysis is realized, high-risk batches can be identified in time, and an efficient means is provided for quality control of normal-temperature pure goat milk.

A control unit (240) and liquid container (135) of a milk analysis apparatus (120) having a first wireless communication device (210), for communication with a memory device (230) of a liquid container (135). The liquid container (135) is insertable into the milk analysis apparatus, via a second wireless communication device (220) in the liquid container. The control unit (240) is configured to obtain a signal associated with consumed liquid amount of the liquid container, during a liquid extraction session; and transmit information related to the consumed liquid amount via the first wireless communication device, for storage in the memory device of the liquid container.

The invention provides a dairy product similarity quantitative evaluation method and system, and belongs to the technical field of data processing, and the method comprises the steps: obtaining the content value of each nutrient substance in a dairy product to be evaluated, the influence weight used for representing the importance degree of each nutrient substance, and the content fluctuation range of each nutrient substance in a reference dairy product; for any nutrient substance, obtaining a weighted deviation value according to the content value, the content fluctuation range and the influence weight; the weighted deviation value is used for representing the content deviation degree of the dairy product to be evaluated and the reference dairy product on the nutrient substances; and according to all the weighted deviation values, determining a final similarity score of the to-be-evaluated dairy product and the reference dairy product. According to the method, the importance of each nutrient substance and the content fluctuation range of the nutrient substance in the reference dairy product are considered, the weighted deviation value of each nutrient substance in the dairy product to be evaluated is calculated, and the final similarity score is determined, so that the evaluation accuracy of the similarity of the dairy product is improved.

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

Provided is a computer implemented method and systems for assessing the risk of phage infection in a fermented dairy product manufacturing process. The method comprises steps of receiving a plurality of predetermined fermented dairy product manufacturing conditions and inputting the plurality of predetermined fermented dairy product manufacturing conditions into a model to generate a coagulation state. Furthermore, the method comprises outputting the phage score generated by the model, and optionally determining means and / or actions to minimize the risk pf phage infections.

The utility model relates to the technical field of oxygen content detection equipment, and discloses an oxygen content detection device in the fermentation process of dairy products, which comprises a fermentation tank body, a discharge valve is arranged at the bottom of the fermentation tank body, a mounting plate is arranged on the outer side of the fermentation tank body, and a support column is arranged at the bottom of the mounting plate. A tank cover is arranged at the top of the fermentation tank body, a fixing frame is arranged at the top of the mounting plate, an oxygen detector body is arranged at the bottom of the fixing frame, and a detection control mechanism which penetrates into the fermentation tank body and is communicated with the fermentation tank body is arranged in the fixing frame; the top of the fixing frame is provided with a plugging assembly penetrating into the detection control mechanism. According to the oxygen content detection device in the fermentation process of the milk-containing product, a user can effectively and conveniently detect the oxygen content in the fermentation process of the milk-containing product, the detection effect and accuracy of the device are effectively improved, and the device is convenient to use by the user.

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.

A sensor device (100) measures an electric conductivity and / or impedance of a fluid in a measurement chamber (160) made of a non-conducting material. Measurement electrode pairs (110, 120) are arranged in the measurement chamber (160) to make electrical contact with the fluid in the measurement chamber (160). A processing unit supplies a probing signal to the measurement electrode pairs (110, 120) and determines the conductivity and / or impedance of the fluid in the measurement chamber (160) based on at least one resulting signal obtained via the measurement electrode pairs (110, 120). A printed circuit board (150) has respective conductive traces that connect each electrode in the measurement electrode pairs (110, 120) electrically with the proces-sing unit. Specifically, a respective deformable element (231) is arranged to connect each of the electrodes electrically with the respective conductive trace. The respective deformable element (231) is configured to be compressed by a respective connector member of the respective electrode (111) when assembled in a housing of the sensor device (100).

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.

A dairy solution analysis method (100A), a portable dairy solution analysis device (100B), a dairy solution analysis system (500), an electronic device (600) for dairy solution analysis, and a computer readable storage medium. The dairy solution analysis method (100A) comprises: operation I (101), testing a test value of at least one index of a dairy solution with a test paper based on a chromogenic biochemical testing method; and operation II (102), outputting the analysis result of the dairy solution based on the test value of the at least one index of the dairy solution. The portable dairy solution analysis device (100B) comprises a tester (110) configured to execute operation I (101); and a processor (120) configured to execute operation II (102). The portable dairy solution analysis device (100B) is miniaturized and handheld, and is easy to operate, and a user can complete the whole dairy solution testing process at home. The dairy solution analysis method (100A) facilitates the user to understand the situation of the dairy solution, adjust the dietary structure according to the actual situation, and provide a healthier infant feeding method, thereby improving the user experience.

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.

The invention discloses a method for analyzing the impurity degree of a material, and relates to the technical field of measurement methods. The method comprises the following steps: mixing a material and a dispersion liquid according to a predetermined mass ratio to obtain a first mixed solution, filtering the first mixed solution with a predetermined volume, and recording the filtering time required by filtering and the volume of the obtained filtrate; correspondingly calculating the passing rate of the filtrate and the passing rate per unit time by utilizing the preset volume, the filtering time and the volume of the filtrate, and carrying out impurity degree grading on the material based on the passing rate of the filtrate and the passing rate per unit time; according to the method, objective grading of the impurity degree of the material is realized through the passing rate of the filtrate and the passing rate per unit time, subjective comparison judgment is canceled, and the grading result cannot be influenced by personal errors of an operator.

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.

A system for monitoring and controlling application of milk samples to lateral flow test sticks. The system includes a milk dosing assembly with a needle that moves between an application position contacting a test stick and a retracted position. A moveable structure holds and positions the dosing assembly, while a drive unit controls the movement. A controller determines and maintains proper spacing between the needle tip and test stick by comparing measured distances with predetermined values and making adjustments as needed. The system enables accurate and automated application of milk samples for biomarker testing while preventing sample cross-contamination and ensuring proper sample delivery to the test area.

A controller (200) for managing the creation of a sample comprising a mixture of milk and a chemical is disclosed. The controller determines the ratio between milk and chemical based on a predetermined value or the quality criterion of a previous sample in the same milking session. It sends a first control signal to a milk dosing unit (120) and a second control signal to a chemical dosing unit (130) to supply the ingredients according to the ratio, creating the sample. Additionally, the controller sends a signal to an image sensor (210) to capture the sample's image and assess its quality based on somatic cell detection. If the quality criterion is not met, the controller adjusts the ratio and regenerates a subsequent sample during the same milking session.

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.

The utility model provides a dairy product detection work station which comprises a temporary storage mechanism used for storing a container containing a sample to be detected; the pretreatment mechanism is used for carrying out oscillation and uncovering treatment on the container; the nitrite detection mechanism is used for performing nitrite detection on the to-be-detected sample in the container; the density detection mechanism is used for detecting the density of the to-be-detected sample in the container; the freezing point detection mechanism is used for carrying out freezing point detection on the to-be-detected sample in the container; the acidity detection mechanism is used for detecting the acidity of the to-be-detected sample in the container; and a transfer mechanism. According to the dairy product detection work station, multiple functions of caching, pretreatment, nitrite detection, density detection, freezing point detection, acidity detection and the like are integrated, and the efficient transfer mechanism is arranged, so that continuous and rapid detection of dairy products can be realized, and key indexes such as nitrite content, density, freezing point and acidity in the dairy products can be accurately measured; and automation and intellectualization of the detection process are realized.

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 utility model relates to the technical field of dairy product processing, and provides a dairy product fat detection workstation which comprises a test bed, and a manipulator, a plurality of accommodating stations, a balance, an alkaline hydrolysis unit and an extraction unit which are arranged on the test bed, the plurality of accommodating stations are respectively used for accommodating various containers and bottle plugs, and the alkaline hydrolysis unit is used for extracting a to-be-detected sample, adding a first reagent into the to-be-detected sample, and oscillating, heating and cooling the to-be-detected sample; the extraction unit is used for adding a second reagent into the to-be-detected sample to obtain a mixed solution, oscillating the mixed solution, extracting an upper-layer separation solution, and heating and drying the separation solution to obtain an extracting solution; the manipulator is used for clamping the container and is also used for cooperating with the alkaline hydrolysis unit and the extraction unit to act. According to the dairy product fat detection workstation, manual operation is not needed in the whole process, the detection efficiency of fat content detection on dairy products is improved, and the labor intensity of operators is also reduced.

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.

The purpose of the present invention is to provide a monoclonal antibody that binds to A1 beta-casein or to both A1 beta-casein and A2 beta-casein and to provide a method for detecting A1 beta-casein using said monoclonal antibody. The monoclonal antibody according to the present invention is characterized by having a specific antigen complementarity-determining region amino acid sequence.

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).

In some aspects, the disclosure relates to compositions and methods useful for the diagnosis and treatment of neurodegenerative diseases, such as leukodystrophies (e.g., Canavan Disease). In some embodiments, the methods comprise administering to a subject an N-acetylaspartate (NAA)-depleting agent or an N-acetylaspartate (NAA)-depleting agent based upon the subject's metabolic profile.

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.