44 results about "Beef sample" patented technology

The invention relates to a detection and grading system for tenderness of fresh beef based on multispectral imagery, which belongs to the technical field of detection of food quality. In a dark box, the lens of a CCD industrial camera is aligned with the center of a table board of a height-adjustable objective table, two multispectral light source assemblies are symmetrically arranged at a left sidewall and a right sidewall of the dark box respectively through two light source fixing supports, and a large power LED array on each of multispectral light source assemblies is composed of LEDs of 6 kinds of wave bands; during detection, a sample to be detected is put on the table board of the height-adjustable objective table, the LEDs of 6 kinds of wave bands alternately radiate in order, the CCD industrial camera acquires multispectral images of the sample to be detected, a multispectral beef sample reflection image in an interested area of a lean meat part is extracted through computer image processing, and therefore, marbling of beef is extracted, and evaluation and grading of content of marbling of the beef are carried out, and tenderness of the beef is predicted. The detection and grading system provided by the invention is applicable to companies dealing with cutting, marketing, processing and import and export of fresh beef and to market supervision by quality and technical supervision departments.

The invention discloses a chilled fresh meat quality non-destructive testing method based on a hyperspectral imaging technology. The method includes the steps of: 1) collecting and preparing a large number of chilled fresh meat samples, and collecting hyperspectral data of the chilled fresh meat samples by means of a hyperspectral imaging system; 2) according to national standard demand, testing physical and chemical reference values of to-be-tested quality indices of the chilled fresh meat samples by means of physical and chemical methods; and 3) with the acquired hyperspectral data and the physical and chemical reference values of the chilled fresh meat samples, establishing a hyperspectral prediction module of the to-be-tested quality indices of the chilled fresh meat by means of data processing methods such as machine learning, chemometrics and the like. When the method is applied to detection of content of TVB-N in beef, abnormal samples of chilled fresh beef are rejected through a MCS method, and then chilled fresh beef sample sets are divided through a CG algorithm; a CARS algorithm is employed to establish a PLSR model by optimally selecting a characteristic wave band of the content of TVB-N in the beef. The model has excellent prediction function.

The invention discloses a manufacture method of recombinant dried beef. The method comprises the following steps: green beef or thawed beef is selected; regarding the beef sample quantity of 0.46mg / g as a reference, bromelain is weighed (specific activity unit: 1200Mu / g ) and diluted into bromelain solution, and then is injected into different parts of the beef; after being rolled and rubbed for 10 to 20 minutes, the beef reacts at the temperature of 40 DEG C for 1.5 hours; the beef is prickled; the prickled beef is dewatered and divided into two parts; one part is steamed and boiled until maturity, and cut and blended as beef grains; the other part of the green beef is dewatered and cut and blended as beef emulsion; the boiled and cut and blended beef grains and the green beef emulsion are evenly mixed; the proportion of the beef grains and the beef emulsion is 0.5-2: 1; TG enzyme is added to the beef by 2-10mg / g; the cooked and the fresh beef are jointed and shaped under the condition that the TG enzyme and the pressure are 1.5-3 N / cm<2>; and then the beef is steamed and boiled, roasted and packaged. The dried beef has the advantages of soft mouth feel, low hardness and bright color and luster.

The invention relates to a multispectral image textural feature-based beef tenderness detection device, which includes a lamp box, an illumination system, a shooting system, an object stage and a computer. The object stage is installed at the bottom of the lamp box. The shooting system includes a CCD digital camera, a multispectral filter and a camera support. The CCD digital camera is fixed on the camera support arranged at the lamp box top. The multispectral filter is loaded above a lens of the CCD digital camera, and the lens aligns with the center of the object stage surface. The computer is connected to the CCD digital camera and is used for processing and storing acquired multispectral images. The illumination system includes fluorescent lamp assemblies and halogen lamp light source assemblies. The fluorescent lamp assemblies are mounted at the bottom of the object stage to simulate natural light, and the halogen lamp light source assemblies are mounted on two sides of the lamp box top and used for auxiliary light sources. By means of the multispectral beef tenderness prediction method, effective online tenderness prediction of a beef sample can be conducted, thus laying the foundation for a future beef online quality detection system.

The invention discloses a method for obtaining the near-infrared spectrum of a beef sample online and an application thereof in evaluating beef quality. The method for obtaining the near-infrared spectrum of a beef sample provided by the invention obtains the near-infrared spectrum of the beef sample by adopting a near-infrared spectroscopy; and the average scanning times of spectrum of the near-infrared spectroscopy is set to be 30. The invention also discloses an application of the method in evaluating the beef quality and / or comparing the beef quality. The beef quality is reflected by at least one of the following indexes: (1) pH value; (2) color; and (3) tenderness. By adopting the method provided by the invention to evaluate or compare the beef quality, online nondestructive testing can be realized (without cutting a sample from the carcass or split part meat and mincing), and multiple indexes of meat can be evaluated at the same time; and the method has obvious advantages of simple treatment and good repeatability.

The invention discloses an auxiliary identification method of geographical origin of beef, comprising the following steps: (1) collecting a beef sample from any one region of Jilin, Nixia, Guizhou and Hebei; (2) carrying out fat extraction on the beef sample to obtain a crude fat sample; (3) carrying out methyl-esterification reaction on the crude fat sample to obtain a fatty acid methyl ester sample; (4) measuring the percentage contents of alpha-linolenic acid, myristic acid, heptadecanoic acide, saturated fatty acid, and monounsaturated fatty acid in the fatty acid methyl ester sample, and respectively marking as X-(alpha-C18:3), X(C14:0), X(C17:0), X(SFA) and X(MUFA), wherein Y Jilin, Y Ningxia, Y Guilin and Y Hebei can be obtained according to discrimination modes (1)-(4), and the largest value of the Y Jilin, Y Ningxia, Y Guilin and Y Hebei represents where the beef sample comes from. According to the invention, the method is simple and practical, the whole accurate identification rate of the geographical origin of beef can reach more than 92 %, and the invention provides a scientific method for establishing and improving a beef quality safety traceability system.

The invention discloses a device and a method for detecting freshness of beef. The method comprises the following steps: firstly, selecting three types of carrier gases for detecting volatile gas generated by freshly-killed beef; secondly, according to the fitting precision of the detection model of each carrier gas, judging the concentration of the volatile gas, wherein when the R value of only one of the three carrier gases is less than 0.9, the concentration of the volatile gas is the most suitable and the detection accuracy can be ensured; thirdly, selecting a beef freshness pre-detection model; fourthly, detecting beef W to be detected by a sensor array; fifthly, obtaining the signal-to-noise ratio maximum SNRW of the beef W; sixthly, computing a storage day value t of the beef W by a computer according to the beef freshness pre-detection model; and finally, judging whether the freshness of a beef sample is unqualified or qualified by a computer. The device and the method have the characteristics of accurate, objective and rapid detection and capability of providing reliable data support for preparing food using beef with qualified freshness.

The invention belongs to the technical field of quality inspection of meat products, and particularly relates to a rapid identification method of chilled grain fed beef and frozen fresh beef. The rapid identification method of the chilled grain fed beef and the frozen fresh beef comprises the following specific steps: collecting beef samples and numbering and carrying out data acquisition by usingNIR; preprocessing the data by using an SNVT method; carrying out dimension reduction on the preprocessed data by utilizing PCA; establishing a rapid identification model of the chilled grain fed beef and the frozen fresh beef by adopting a chemometrics method; carrying out data acquisition on the unknown to-be-measured beef samples and predicting the category of the unknown to-be-measured beef samples by utilizing the rapid identification model. The rapid identification method disclosed by the invention is not limited by the subjectivity of sensory evaluation and the complexity of a conventional detection method, and is suitable for large-batch rapid detection. The chilled grain fed and the frozen fresh beef are identified by utilizing the method disclosed by the invention; when the principle component number is 12, the recognition rates of a training set and a testing set are respectively 97.73 percent and 95.45 percent, and further rapid identification can be achieved.

The invention discloses a multiplex PCR method for testing three main pathogens in beef. The method includes the steps of culturing bacterial strains of salmonella, listeria monocytogenes, escherichia coli O157:H7; contrasting propagation effects of different propagation broth on three pathogens; selecting primers; amplifying through a multiplex PCR system; extracting DNA (Deoxyribose Nucleic Acid) of bacteria in a beef sample to be tested; building multiplex PCR system parameters. By means of the multiplex PCR method for testing three main pathogens in beef, high specificity and sensitivity of conventional PCR are maintained, operation steps are reduced, and the purpose of one-time amplification for simultaneously testing a variety of microorganisms is achieved, so that time and costs are greatly saved.

The invention belongs to the technical field of meat-product quality detection, and particularly relates to a rapid identification method for storage time of iced fresh beef. The rapid identificationmethod for the storage time of the iced fresh beef specially includes the steps that beef samples are collected and numbered, and data is collected with NIR; the data is preprocessed with the normalization method; the preprocessed data is subjected to dimension reduction with PCA; a rapid identification model of the storage time of the iced fresh beef is established with the chemometrics method; data of unknown to-be-detected beef samples is collected, and storage time of the unknown to-be-detected beef samples is forecasted through the rapid identification model. The rapid identification method is not limited by the subjectivity of sensory evaluation and the complexity of physical and chemical determination, and is suitable for large-batch rapid detection. The storage time of the iced fresh beef is identified with the method, and when the principal component number is 8, the recognition rate of a training set and the recognition rate of a test set is 98.75% and 90% respectively, and rapid identification can be achieved.

The invention provides a preparation method of a colloidal carbon labeled antibody and a test strip prepared from the colloidal carbon labeled antibody. Salbutamol is selected as a target object, a salbutamol antibody is added into a colloidal carbon solution to prepare the colloidal carbon labeled antibody, and a colloidal carbon labeled immunochromatography analysis method for detecting the salbutamol is established and is applied to visual detection of salbutamol residue in animal derived food. The detection limit of the prepared test strip is 2 mu g L<-1>. Four practical samples namely a pork sample, a beef sample, a mutton sample and a pork liver sample are selected to perform addition recovery experiment, and the detection limit of the samples is 10 mu g L<-1>. The test strip can be stably stored for at least 16 weeks at room temperature.

The invention belongs to the technical field of molecular biological identification methods and particularly relates to a method for rapid identification of yak, cattle and dzo beef. The method includes steps: acquiring a to-be-identified beef sample, extracting a DNA sample, designing specific primers, subjecting the to-be-identified beef sample to PCR amplification, adopting agarose gel for electrophoresis of a product obtained after amplification, and judging a type of the beef according to an electrophoresis result. The method which is a simple, convenient, quick, efficient and accurate beef type identification method is low in cost and has a promising application prospect.

The invention relates to a device for detecting beef tenderness based on color image textural features, which comprises a lamp box, a lighting system, a shooting system, an objective table and a computer, wherein the objective table is mounted at the bottom of the lamp box; the shooting system comprises a CCD digital camera and a camera bracket, the CCD digital camera is fixed on the camera bracket and mounted at the top of the lamp box; a lens of the CCD digital camera aims at center of the table board of the objective table; the computer is connected with the CCD digital camera; the lighting system comprises daylight lamp components and halogen lamp light source components; the daylight lamp components are mounted at the bottom of the objective table; and the halogen lamp light source components are mounted on two sides at the top of the lamp box. Through textural feature analysis, the device acquires a beef sample image, extracts parameters describing beef surface texture feature by adopting grayness symbiosis matrix, two-dimensional fast Fourier transform wavelet conversion and Gabor wavelet transform, so as to provide feature parameters for a tenderness predictive model, and utilizes stepwise regression and a support vector machine to predict the beef tenderness, with the predictive accuracy rate up to 100%.

The invention discloses a sensitive probe, a method for detecting tetracycline and applications. The sensitive probe comprises a signal carrier and a tetracycline monoclonal antibody, wherein the signal carrier is a molybdenum disulfide nanosheet, and the particle sizes of the molybdenum disulfide nanosheet are 450-550 nm, 200-300 nm and 40-60 nm. In immunodetection, the two-dimensional molybdenumdisulfide nanosheet is used as the signal carrier to construct the probe, control of a very limited amount of antibodies is the key for improving sensitivity, the specific surface area of molybdenumdisulfide is large, the surface is easy in functional group modification, the adsorption capacity is high, the biocompatibility is good, a small amount of antibody-labeled molybdenum disulfide servesas a detection probe to realize high-sensitivity target object detection, a naked eye detection limit can be as low as 0.023 ng / mL, the sensitivity is improved by at least 100 times compared with thatof a traditional gold-labeled test strip, and the sensitive probe can be successfully applied to tetracycline detection in milk, honey and beef samples.

The invention discloses a method for determining fluoroquinolone drug residual in beef. The method comprises the following steps: accurately weighing a beef test sample, adding an ultrasonic extracting solvent for extracting, centrifuging the extract, purifying the obtained centrifuged liquid supernatant by use of a reverse solid-phase extraction column, next, eluting by use of 5mL of methanol, drying the obtained eluate by use of a nitrogen blowing instrument at the temperature of 60 DEG C, dissolving the dried eluate in a moving phase, filtering the solution by use of a 0.22-micron filter membrane and putting the filtrate into a sample injection bottle, and finally, determining the filtrate by use of a high performance liquid chromatograph with a fluorescence detector. The method for determining the fluoroquinolone drug residual in the beef has the beneficial effects that two main factors, namely the extraction time and the extract dosage, are optimized so that the optimal ultrasonic extraction time and the optimal extract material ratio can be obtained, and the method has the advantages of good extraction effect, short time consumption, good sensitivity, precision and accuracy and the like, and is suitable for quick detection on the fluoroquinolone drug residual in the beef samples.

The invention discloses a mixed tracing method and system for imported beef production places, wherein the traceability method comprises the steps of collecting the beef samples of different countries; acquiring the values of delta 13C, delta 2H, delta 15N, Se, Rb, Ti, Asp, Thr, Ser, Glu, Gly, Val, Ile, Leu, Tyr, Phe, Lys and His of a standard beef sample; and training to generate an identification model based on infrared spectrum data, an identification model based on isotope mass spectrum data, an identification model based on mineral element data and an identification model based on amino acid data, sorting the identification models according to performance, and judging the production place of the imported beef by integrating the results and sorting positions of the four identificationmodels. Aiming at the problems of long imported beef transportation time, complex transportation environment and the like, the invention provides the mixed tracing method and system for the imported beef production places, so that the tracing precision of the imported beef is improved, and meanwhile, the requirement of wide application range of the existing imported beef is met.

The invention relates to the technical field of veterinary drug residue detection, in particular to a method for analyzing residual antibiotics in beef. The method at least comprises the steps that beef samples are subjected to pretreatment, extraction, purification and monitoring analysis, wherein the monitoring analysis is conducted by means of a chromatogram-mass spectrometry combined technology. In the extraction process, a surfactant is adopted for increasing a dissolution rate of the target antibiotics; in the purification process, a demulsifier is adopted for reducing an emulsificationrate of a system, matrices and other impurities are precipitated and removed, and the precision and sensitivity of the detection process are further improved.

The invention discloses an adulteration detection method for beef on the basis of bio-speckles and inertia moment spectrum analysis. The method includes the steps of: 1) collecting a bio-speckle imageof a beef sample by means of a He-Ne laser device and a CCD camera; 2) constructing an inertia moment spectrum of the bio-speckle image; 3) establishing a beef adulteration detection model. For the first time, the method employs the bio-speckle for adulteration detection of beef. The detection method is high in accuracy, is low in cost and short in time, is low in requirement on experimental equipment and personnel, and is a quick, simple and sensitive adulteration detection method for beef.

The invention discloses a method for discriminating true and false yak meat products. The method comprises determining delta <13> C permillage, delta <15> N permillage and delta <2> H permillage of beef samples to be discriminated, substituting the delta <13> C permillage, delta <15> N permillage and delta <2> H permillage into discriminated models of Y <common beef> and Y <yak meat>, calculating the Y <common beef> and Y <yak meat>, wherein Y <common beef>=-3.312 delta <13> C+5.980 delta <15> N-0.631 delta <2> H-79.099 and Y <yak meat>=-5.249 delta <13> C+3.791 delta <15> N-0.640 delta <2> H-110.627, and comparing Y1 and Y2 values, wherein if the Y <common beef> is greater than Y <yak meat>, the beef sample is a common beef sample, and if the Y <common beef> is less than Y <yak meat>, the beef sample is a yak meat product. The method has the characteristics of simple processes, convenience, strong operationality, discrimination rate of 97%, fastness, economy and utility.

The invention discloses a Raman characteristic spectrum peak extraction method based on improved principal assembly analysis. The method comprises the following steps of collecting Raman spectrum dataof the surfaces of pork and beef samples by a confocal microscopic Raman spectrometer; preprocessing the Raman spectrum data, performing principal component analysis, establishing a principal component load scatter diagram, analyzing and extracting scatter point characteristics of the principal component load scatter diagram, and screening a Raman characteristic spectrum peak according to the scatter point characteristics. The method extracts the Raman characteristic spectrum peaks of the beef and the pork and substitutes the Raman characteristic spectrum peaks into a classifier for classification, so that higher accuracy rate is achieved, and the classification speed is high.

The invention belongs to the technical field of quality detection of meat products and in particular relates to an identification method for cold fresh beef and unfrozen beef based on an ultrasonic imaging technology. The identification method for the cold fresh beef and the unfrozen beef specifically comprises the following steps: preparing beef samples and encoding; carrying out ultrasonic reflection image acquisition on the beef samples by applying an ultrasonic imaging technology; extracting textural feature values of beef ultrasonic reflection images; carrying out dimension reduction treatment on data by utilizing main component analysis; establishing a rapid identification model of the imported cold fresh beef and the unfrozen beef by adopting a stoichiometry method; carrying out ultrasonic reflection image acquisition on unknown beef samples to be detected, and identifying classes of the unknown beef samples to be detected by utilizing the established identification model. According to the identification method provided by the invention, the samples do not need to be pre-treated so that the detection cost is low and the environment is not polluted; the identification methodis simple to operate and accurate in result. When the cold fresh beef and the unfrozen beef are identified, identification of a training set and a testing test reaches 100 percent when the number of the principal components is 5; rapid identification can be realized.

The invention relates to the technical field of quality detection of meat products, in particular to a method for predicting the quality of cooked barbecue beef based on raw meat near infrared spectral information. The method comprises the following steps: a) acquiring the near infrared spectrum of a to-be-detected raw beef sample for barbecue; and b) predicting the quality of the cooked raw beef sample for barbecue by the near infrared spectrum acquired in the step a) and through a pre-established near infrared spectral data model, wherein the near infrared spectral data model comprises a corresponding relation between the near infrared spectrum and the post-cooking quality related parameters.

The invention discloses a method for measuring residual quantities of growth promoting agents such as zilpaterol, cimbuterol, clenproperol and bambuterol in beef. The method includes hydrolyzing beef samples by the aid of beta-glucuronidase / aryl sulfatase; centrifuging the beef samples under the condition of pH (potential of hydrogen) of 1.0+ / -0.2; regulating pH of supernatant until the pH reaches 9.5+ / -0.2; sequentially extracting the supernatant by the aid of ethyl acetate and tert-butyl methyl ether; combining organic phases with one another; drying the organic phases by means of blowing; dissolving the organic phases by the aid of formic acid; enabling the organic phases to pass cation exchange solid-phase extraction columns; sequentially leaching the organic phases by the aid of 2% formic acid, water and methanol; eluting the organic phases by the aid of ammonium methanol; drying eluent by means of blowing; dissolving the organic phases by the aid of formic acid and methanol aqueous solution; filtering the organic phases by the aid of films; feeding filter liquid in liquid chromatograph / mass spectrometers to obtain the residual quantities of the growth promoting agents in the beef according to standard curves. The method has the advantages that the four growth promoting agents including the zilpaterol, the cimbuterol, the clenproperol and the bambuterol can be quickly detected by the aid of the method, and residues of the four growth promoting agents which are four types of medicine in the beef can be monitored.

The invention discloses a probe, a detection test strip and application thereof. The probe comprises a monoclonal antibody and a signal carrier, wherein the signal carrier is polydopamine modified iridium oxide nanoparticles. According to the invention, the probe is constructed by using the polydopamine modified iridium oxide nanoparticles in immunodetection for the first time, high-sensitivity target detection can be realized, the detection limit is as low as 0.002 ng / mL, and compared with the sensitivity of a pure iridium oxide nanoparticle test strip and the sensitivity of a traditional gold-labeled test strip, the sensitivity is respectively improved by 24 times and 180 times. In addition, the probe has a good application prospect, and can be used as a general detection method for detecting various harmful micromolecule analytes in food. Meanwhile, the probe can be successfully applied to salbutamol detection in pork, pork liver and beef samples.

The invention belongs to the technical field of quality detection of meat samples and relates to a making method of color-changing test paper for detecting water-holding capacity of beef and a detection method to solve the technical problems that the operation is complicated, the treatment time is long and the water-holding capacity of beef cannot be well detected online in the prior art. The making method comprises steps as follows: 1, 2-3 g of a cobalt chloride reagent is weighed and dissolved in 20 ml of deionized water; 2, the prepared test paper is soaked in a prepared cobalt chloride solution for 12-18 min; 3, the reagent which is not adsorbed on the surface of the test paper is sucked dry by absorbent paper, and the test paper is put in a culture dish and dried in a drying oven for 15-20 min. The detection method comprises steps as follows: 1, the beef sample is sliced in the direction perpendicular to muscle fiber; 2, the color-changing test paper is attached to the surface of the beef sample; 3, a dried glass slide is placed on the color-changing test paper and slightly pressed; 4, the color changing condition of the test paper is observed via the glass slide; 5, the water-holding capacity of the beef is judged by the aid of a regression equation according to the color changing time of the test paper.

The present invention discloses a spleen strengthening and lung moistening sliced dried beef processing method comprising the following steps: 1) choosing the sources of beef raw materials and processing the beef raw materials; 2) deacidifying; 3) soaking; 4) pre-cooking the soaked beef with pre-brewed shii-takes and dictyophora indusiata soup; 5) slicing; 6) putting the beef slices or dices into a boiling liquid which consists of radix astragali, red dates, and pseudostellaria heterophylla roots at a mass ratio to be soaked; and then taking the treated beef slices or dices out onto a screen net to be drained, and hot-wind air-drying the medicine liquid on the surface of the beef slices or dices; 7) frying the beef and natural accessory materials at a mass ratio and at a temperature of 97.8 DEG C; and 8) drying: drying the processed beef at a temperature of 97.8 DEG C to a water content of 17 %; and cooling the dried beef, packaging the cooled beef, inspecting beef samples, and sending the sliced dried beef out from factory. The processed sliced dried beef contains a variety of amino acids, is fresh in color and fragrance, is delicious and nutritious, can strengthen spleen, promote salivation and moisten lungs, and enhance human body immunity in a regular consumption, and is not only high in nutritional value, but also has health-care function, and is conducive to body health.

The invention discloses a pork and beef classification method based on a Raman spectrum. Raman spectrum data on the surfaces of pork and beef samples is collected through a confocal microscopic Ramanspectrum instrument; the Raman spectrum data is subjected to preprocessing operation; then, principal component analysis is performed to screen out five Raman feature spectrum peaks; and next, the results are substituted into a classifier for classification. The pork and beef classification method based on Raman spectrum has the advantages that high accuracy is realized on the classification on the pork and the beef; the classification speed is high; and the robustness is high.

The embodiment of the invention provides a method for identifying a beef origin by using an electronic nose. The method comprises the steps that the electronic nose is trained; a beef sample to be identified is acquired; the beef sample is placed into the trained electronic nose to acquire the identification value of the beef sample to be identified; and the beef origin is identified according tothe origin corresponding to the identification value. The method uses the electronic nose to determine a wide variety of beef volatile compound components, has the advantages of faster measurement speed and objective and accurate analysis result, and can quickly and non-destructively identify different origins of beef.