91 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.

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 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.

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.

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 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.

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.

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.

The invention provides a multiplex digital PCR (Polymerase Chain Reaction) detection method for identifying and diagnosing Brucella bovis and Brucella mevis, i.e., on the basis of obtaining a set of primer probes capable of identifying Brucella and Brucella bovis and Brucella mevis through screening; the invention establishes a high-sensitivity liquid drop type digital PCR detection method capable of identifying zonal distribution Brucella and Brucella of cattle and sheep species. The method disclosed by the invention can be used for simultaneously carrying out quantitative detection on nucleic acids of the Brucella abortus and the Brucella melitensis, is good in repeatability and specificity, and in addition, the sensitivity is 10 times higher than that of a triple fluorescent quantitative PCR (Polymerase Chain Reaction) method. Clinical sample detection results show that the positive detection rate of the triple digital PCR detection method in environmental swabs, tissue samples, milk samples and abortion substances is higher than that of a triple qPCR method. The triple digital PCR detection method provided by the invention can be used for etiological diagnosis of cattle and sheep brucellosis, and has good sensitivity, specificity and repeatability.

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 milk sampling device (120) includes a lower connection member (121) configured to temporarily store a milk sample, and an upper connection member (124). The upper connecting part (124) comprises a movable cover (122) which is configured to be detachably attached to the lower connecting part (121) so as to form a closed space together with the lower connecting part (121) in a closed position; and at the separation position, the lower connecting part (121) is separated from the lower connecting part (121). The upper connection part (124) further comprises a milk conduit (117) connected to a milk source (110) via a milk tube (115) and arranged to provide milk into the lower connection part (121) via a first air gap (127) between a lower end section (118) of the milk conduit tip (117) and an upper edge portion (123) of the lower connection part (121) when the cover (122) is separated from the lower connection part (121).

The present invention related to a technique for determining the progesterone-associated physiological state of a lactating cow. The technique comprises determining at least one Milk Solid (MS)-related parameter in at least one milk sample from a lactating cow; and determining the progesterone-associated physiological state according to the Milk Solid (MS)-related parameter. Determining the progesterone-associated physiological state may comprise determining the progesterone level of the cow by correlating the MS-related parameter with calibrated data. The MS related parameter may comprise at least one of size, synthesis, composition of a MS, a pattern of progesterone concentration or direction of progesterone concentration, or at least one dielectric parameter of the MS.

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.