112 results about "Milk sample" patented technology

The invention relates to the technical field of substance detection and analysis, in particular to a method for identifying lactone odor active compounds in milk. According to the method for identifying the lactone odor active compounds in the milk, provided by the invention, the pretreatment of the milk sample is performed by combining the thin-film solid-phase microextraction with the sequential stirring rod adsorption method, and the gas chromatography-sniffing-mass spectrometry technology is matched, so that the sniffing detection rate of the lactone odor active compounds in the milk is remarkably increased; the method has the advantages of high efficiency, strong operability, environmental protection and the like, and has important application value in milk lactone odor active compound detection and milk flavor evaluation.

A milking arrangement comprising a milking machine for milking an animal, wherein the milking arrangement comprises a control unit that is configured to obtain identity of the animal in connection with milking of the animal, obtain a reference point in time of a lactation cycle of the identified animal, determine to take at least one milk sample of the animal, when a predetermined time period has passed from the reference point in time; obtain a Haptoglobin level from the milk sample, compare the obtained Haptoglobin level with a Haptoglobin reference limit, and indicate health condition of the animal, based on the made comparison.

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.

The invention relates to a lactobacillus plantarum for producing lipase and an application of the lactobacillus plantarum in preparation of fermented single cream, the lactobacillus plantarum strain is separated from a goat milk sample from Diqing of Yunnan, is named as lactobacillus plantarum B22, has a preservation number of CCTCC M 2025779, is preserved in China Center for Type Culture Collection, and has a preservation number of CCTCC M 2025779. The preservation address is Wuhan University Campus, Wuchang District, Wuchang District, Hubei Province, No. 299. The strain can produce lipase at high yield, and has good oxidation resistance, bacteriostasis and a plurality of other probiotic functions; in addition, the strain and a commercial leavening agent are combined to prepare the fermented single cream, and the obtained fermented single cream is fine and smooth in texture and has a strong flavor.

The invention discloses an enzyme-linked immuno sorbent assay (ELISA) technology-based detection optimization method for A2 protein content in milk, and relates to the technical field of protein content detection.The method comprises the following steps: collecting a milk matrix interference detection data set, and establishing a milk matrix interference corrector; generating an ELISA dynamic detection module; preparing a milk sample to be detected, and controlling the ELISA dynamic detection module to perform protein optimization detection on the milk sample to be detected to obtain milk absorbance detection data; and establishing an absorbance-concentration standard curve, and determining the detection result of the A2 protein content of the milk. The technical problems that in the prior art, when the A2 protein in milk is detected through ELISA, the detection accuracy and reliability are poor due to the fact that the A2 protein in the milk is easily interfered by components and the adaptability to different types of milk is insufficient are solved, the A2 protein content in the milk can be detected more accurately, the anti-interference capacity is higher, and the detection accuracy and reliability are improved. The technical effect of improving the accuracy and the reliability of the ELISA technology for detecting the A2 protein of the milk is achieved.

The invention discloses a rail-mounted conveying system for milk sample detection, which comprises a base, two ends of which are respectively provided with an input conveyor belt and an output conveyor belt; a turnover basket is placed on the input conveyor belt, and sample bottles are arranged in the turnover basket; a disc is placed on the output conveyor belt; the gantry sliding rail spans above the base, the two ends of the gantry sliding rail are fixed above the input conveying belt and the output conveying belt respectively, and an input sliding block and an output sliding block are installed at the two ends of the gantry sliding rail respectively; a sucking disc manipulator is arranged in the input sliding block and is used for sucking a row of sample bottles from a turnover basket; a clamping mechanical arm is arranged in the output sliding block and used for clamping and moving the disc. Handles are fixed to the two sides of the upper portion of the disc and used for being attached to the clamping mechanical arms so that the clamping mechanical arms can clamp the disc. And the disc changing assembly is arranged on the base and is used for receiving the sample bottles from the sucking disc manipulator and annularly distributing the sample bottles in the disc.

The present disclosure provides systems, devices, and methods for obtaining fat- and protein- enriched milk from unenriched milk. As provided herein, the present disclosure encompasses a device, comprising a filtration unit for increasing the concentration of protein and fat in unenriched milk to obtain a human milk origin fortifier, as well as a UV measurement head device for measuring the fat and protein content of an enriched or unenriched milk sample.

The invention discloses an MIP / CoNiFe-PBA / RGO / GCE working electrode as well as a preparation method and application thereof, and belongs to the technical field of food safety detection.The prepared CoNiFe-PBA-based self-reporting type molecularly imprinted electrochemical sensor has the following outstanding performances when detecting BPA: the detection limit is as low as 0.18 nM (S / N = 3), the linear range is 1.0-500.0 nM, and in a milk sample labeling recovery experiment, the detection limit is as low as 0.18 nM (S / N = 3), and the detection limit is as low as 0.18 nM (S / N = 3). The recovery rate is 97.18 to 102.96 percent, and the relative standard deviation is 1t; the current retention rate is 93.81% (n is equal to 3) for 100 nM BPA detection in a continuous 15-day water immersion test (0.1 M PBS, pH 7.4) under the room temperature, and the signal attenuation is 8.6% after 10 times of continuous use, and the current retention rate is 93.81% (n is equal to 3) for 100 nM BPA detection.

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.

A system (10) for determining the validity of the results of a lateral flow test, the system comprising a lateral flow stick (180a, 180b, 180c). The lateral flow stick (180a, 180b, 180c) comprises: a sample pad (310); a conjugate pad (315) comprising antibody-treated gold particles; and a porous membrane (320) for receiving a capillary flow of a milk sample. The porous membrane (320) comprises: a test line (360) treated with a progesterone reference, the progesterone reference binding to the antibody-treated gold particles of the milk sample and thereby causing the test line (360) to change color when exposed to milk having a progesterone level below a threshold limit; and a control line (370) treated with an antibody reference binding to an antibody and thereby causing the control line (370) to change color when exposed to milk comprising antibody-treated gold particles. The system also includes a sensor (210) and a control unit (150), the control unit being configured to: obtain a reference hue (380) of the control line (370); determine a current hue of the control line (370) based on an image captured by the sensor (210) during the ongoing lateral flow test; compare the reference hue (380) of the control line (370) with the current hue of the control line (370); and indicate the validity of the lateral flow test performed on the lateral flow stick (180a, 180b, 180c) based on the comparison performed.

The invention discloses a GC-IMS-based pure milk flavor sensory digitalization rapid evaluation method, and belongs to the technical field of food analysis and evaluation. The method comprises the following steps: detecting a pure milk sample to be detected by GC-IMS through headspace sampling to obtain a fingerprint spectrum, substituting fingerprint spectrum data or characteristic volatile component data into an OPLS-DA model, and evaluating the preference degree of the pure milk according to a clustering result; the construction method of the OPLS-DA model comprises the following steps: selecting different pure milk samples, and carrying out sensory evaluation on the pure milk samples by adopting a CATA sensory evaluation method; the method comprises the following steps: detecting different pure milk samples through headspace sampling by using GC-IMS to obtain a fingerprint spectrum, and performing regression modeling by using a partial least squares-discriminant analysis method by using fingerprint spectrum data or characteristic volatile component data to construct and obtain an OPLS-DA (Optical Partial Least Squares-Discriminant Analysis) model. According to the invention, GC-IMS is adopted to carry out digital rapid evaluation on the pure milk flavor sense organ, the sensitivity is extremely high, a sample does not need to be enriched and concentrated, the detection time is saved, and a tedious pretreatment process is avoided.

The invention belongs to the field of antibiotic detection, and relates to detection of norfloxacin (NOR). The invention provides a Luminol-Eu-NCDs ratiometric fluorescent probe as well as a preparation method and application of the Luminol-Eu-NCDs ratiometric fluorescent probe. According to the application, a novel ratiometric fluorescence sensor is constructed through covalent linkage of Luminol-Eu self-assembled and synthesized by AIE and NCDs derived from Listeria monocytogenes. The Luminol-Eu NPs with the AIE effect overcomes the fluorescence quenching characteristic of a traditional fluorophore in a high concentration or aggregation state, so that the reference fluorescence brightness of fluorescence analysis is greatly improved. In addition, due to the introduction of the Luminol-Eu NPs, the sensitivity and the accuracy of NOR detection can also be improved. On the basis, a simple ratio fluorescence sensor with high selectivity is developed, and the ratio fluorescence sensor is used for detecting NOR residues in a milk sample.

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.

The utility model belongs to the field of dairy product detection, and provides a sampling device for dairy product detection, which comprises a sampling table and a fixing frame, an icebreaking component for breaking ice of frozen emulsion is arranged at the upper end of the fixing frame, the output end of a servo motor is in threaded fit with a connector, a mobile power supply is connected with the outer side surface of the connector, and a conductor rod is arranged on the inner wall of an icebreaker. A resistance wire is arranged on the outer side surface of the conductor rod; the mobile power supply is electrically connected with the resistance wire; according to the ice breaking device, ice breaking operation can be conducted on frozen milk through the ice breaking assembly, so that subsequent sampling work is facilitated, the situation that experimenters need to conduct ice breaking on milk samples manually after the milk samples are melted is avoided, the conductor rod and the resistance wire are arranged on the inner wall of the ice breaker, and the ice breaking device is electrically connected with the resistance wire through the mobile power source; the heating ice breaking function can be achieved, the ice breaking efficiency is improved, the milk sample extraction convenience is greatly improved, and the overall experiment time for milk sample research and analysis is saved.

The invention discloses theabrownin fermented milk and a preparation method thereof, and belongs to the field of dairy product processing. The method comprises the following steps: pouring the milk and the cane sugar into a pre-disinfected container, preheating to 50-55 DEG C, adding the theabrownin, and stirring until the theabrownin is completely dissolved; homogenizing the obtained product, sterilizing, cooling to 42 DEG C, adding lactobacillus bulgaricus and streptococcus thermophilus, and stirring to completely ferment; and culturing the inoculated milk sample at 42 DEG C for 4 hours to obtain the theabrownin fermented milk. The main functional component theabrownin in the functional fermented milk product disclosed by the invention has remarkable effects of reducing blood sugar, blood fat, blood pressure, uric acid and the like, and the theabrownin has excellent acid-heat stability and has a beneficial effect of improving the comprehensive metabolic balance of a human body.

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.

The invention discloses a method for measuring the content of sodium thiocyanate in milk, which comprises the following steps: firstly, at least carrying out deproteinization treatment on a milk sample to be measured to obtain a pretreated sample; secondly, uniformly mixing the pretreated sample with a ferric salt solution to form a mixed sample, fully reacting the mixed sample in a static magnetic field, and then detecting the light absorption value of the obtained reaction mixture at the wavelength of 455 nm in the static magnetic field; and then calculating the content of sodium thiocyanate in the milk sample to be detected according to the light absorption value and a standard curve formula. Compared with the prior art, the detection method provided by the invention has the advantages of high precision, sensitivity and accuracy, simplicity in operation, good safety and the like.

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.

The invention relates to the technical field of biology, in particular to a primer group and a method for detecting listeria monocytogenes. The primer group for detecting the listeria monocytogenes, disclosed by the invention, comprises nucleotide sequences of primers as shown in SEQ ID NO. 1 to SEQ ID NO. 5; a milk sample can be directly used and added into an LAMP reaction reagent integrated in the micro-fluidic chip, the detection process is automatically completed by a full-automatic detection instrument, a spectrum is analyzed by a spectrum sensor, and a collected spectrum signal is comprehensively judged by an AI technology, so that full-automatic operation is realized, the detection time is controlled within one hour, and the detection accuracy is greatly improved. The system realizes real-time diagnosis, does not need professionals and laboratory environments, is portable and light, is low in price, does not need any complex operation, and can be operated and completed on site by detection personnel in a pasture only through simple training.

A method of producing a reagent tape, that includes a base tape layer and a series of consecutive and separate reagent pads of a reagent, is provided for use in a milk sampling device. The milk sampling device is arranged to supply a droplet of a milk sample onto one of the reagent pads on the tape in order to produce a response in the reagent to detect a presence or concentration of a substance in the milk sample. The method includes providing the base tape layer of the reagent tape, applying onto the base tape layer a continuous layer of the reagent, dividing the supplied continuous reagent layer into separate reagent pads by providing a hydrophobic barrier line between said pads. This may be done by laser ablating thin lines of reagent material, or by providing additional hydrophobic material into the layer. Thus, a simple and fast way of providing a tape with pads is obtained, in which a narrow spacing between pads is possible. A tape made by the method, and a milking device with a sampling device with such a tape are disclosed.

The invention discloses a Dean flow sorting device and method for on-line quantitative detection of cow's milk somatic cells, and belongs to the technical field of microfluidic cell detection. The device comprises a real-time cow milk sample collection unit, a sample inlet throttle valve, a Den flow micro-fluidic chip, a somatic cell enrichment milk sample outlet throttle valve, a somatic cell deficiency milk sample outlet throttle valve, an enrichment sample impedance detection unit, a deficiency sample impedance detection unit, a data processing unit and an online display unit. Interference suppression is realized by utilizing a sorting function of a Den flow micro-fluidic chip, somatic cells in cow milk are separated from other components, interference of complex conditions such as ion components in cow milk, environment temperature and the like on impedance data is effectively eliminated through comparative detection of somatic cell enrichment samples and somatic cell deletion samples, and the accuracy of a detection result is ensured.

The invention belongs to the technical field of fluorescent probes, and discloses an Eu / Ce-MOFs ratio fluorescent sensor, a hydrogel sensor and a preparation method and application of the Eu / Ce-MOFs ratio fluorescent sensor and the hydrogel sensor. The Eu-MOF and the Ce-MOF are subjected to a hydrothermal reaction, and the Eu / Ce-MOF ratio fluorescence sensor is obtained. The sensor has excellent stability and relatively high detection accuracy, and the detection limits of TC, OTC and DOX are respectively 73.0 nmol / L, 51.7 nmol / L and 54.9 nmol / L. The sensor has been successfully applied to detection of TC, OTC and DOX in pork and milk samples, and the recovery rate is 89.3%-112.9%. Besides, the invention further develops a visual sensing platform based on hydrogel, the TCs detection precision is remarkably improved through combination of smartphone imaging and a machine learning algorithm, and a reliable and intelligent solution is provided for on-site rapid detection of TCs.

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 mass spectrometric detection method for bisphenol A in milk through rotary evaporation pretreatment and multi-charge peak analysis. The mass spectrometric detection method comprises the following steps: step 1, carrying out rotary evaporation pretreatment on fresh milk; step 2, carrying out rotary evaporation treatment on the milk sample; 3, omics analysis of lipid, metabolites and protein is completed, and UHPLC-Q-Orbitrap HRMS strategy processing based on vDIA is achieved; and 4, analyzing the group database by adopting a multi-charge overlapping peak extraction algorithm and a graph neural network strategy to realize substance identification. The invention belongs to the technical field of mass spectrometry, and solves the problems that the detection error is large when microgram / L-level trace detection of bisphenol A in milk is carried out in the prior art, and false positive is easy to occur due to a wide mass window in the traditional extraction ion chromatography.

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 present invention belongs to the technical field of analytical detection, and particularly relates to a selective hydrogen peroxide fluorescent probe, a preparation method, a kit and an application thereof. After reacting with hydrogen peroxide, the main absorption peak of this fluorescent probe redshifts from 560 nm to 605 nm, and a new fluorescence emission peak is formed at 648 nm. The linear range for detecting hydrogen peroxide can reach 0 µM - 460 µM, and the detection limit can be as low as 80 nM. After investigation, this fluorescent probe has advantages such as strong specificity or selectivity, high sensitivity, wide linear range, and fast response speed in the detection of hydrogen peroxide in milk samples, cell samples and plant samples. Therefore, it has a broad application prospect and can be combined with means such as mobile phone software or laser confocal microscope for fluorescence analysis, improving the convenience of application and having a good application prospect.

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.