54 results about "Pork sample" patented technology

A method for quickly detecting pork freshness based on an electronic nose comprises the following steps: (1) a sample learning process is performed, pork samples with different freshness levels are selected and placed in a cavity, smell of the samples in the cavity is transmitted into an air chamber with an electronic nose system, sensors in the air chamber obtain detection freshness data, a recognition model is obtained according to pattern recognition, the detection data is input into the recognition model to obtain characteristic values so as to obtain a corresponding sequence of the characteristic values and the freshness levels of the fresh pork; (2) pork to be detected is placed in the cavity, smell of the samples in the cavity is transmitted into the air chamber with the electronic nose system, the sensors in the air chamber send the detection date to the recognition model to obtain another characteristic value, and based on the corresponding sequence, a freshness level of the pork to be detected can be obtained according to a current characteristic value. The method is excellent in accuracy, higher in sensitivity and strong in operability.

The invention discloses a visual detecting method for a pork maturity condition. The visual detecting method comprises the following steps: (1) judging a maturity category of a pork sample according to physical and chemical indexes of the pork sample; (2) scanning the pork sample by using a near-infrared hyperspectral meter to obtain a three-dimensional hyperspectral image; (3) extracting spectral images of the pork sample under five characteristic wavelengths; (4) establishing a three-layer neural network; (5) scanning the to-be-detected pork sample by using the near-infrared hyperspectral meter, and obtaining the maturity category result of each pixel of the three-dimensional hyperspectral image of the to-be-detected pork sample by virtue of the three-layer neural network; (6) respectively representing three maturity categories with three colors to obtain a distribution diagram of the pork maturity condition of the to-be-detected pork, and judging the pork maturity condition. The visual detecting method for the pork maturity condition disclosed by the invention can be used for quickly judging the grade of maturity of livestock meat without damages, so that both physical and chemical indexes are not needed to be measured, and a professional training spectral model is also not needed.

The invention discloses an SNP (single nucleotide polymorphism) marker for identifying MC1R (melanocortin receptor 1) genes of pig breeds and colors of the pig breeds and further discloses an SNP marker primer for identifying the MC1R genes of the pig breeds and the colors of the pig breeds as well as an SNP marker method for identifying the MC1R genes of the pig breeds and the colors of the pig breeds. The molecular genetic marker is not limited by ages, sexes and the like of pigs, can be applied to early breeding of pure breeds of local black hogs and can further be used for performing pig breed and color identification and genetic relationship deduction on pork samples from unknown sources. A screening method is accurate, operation is simple, the cost is low, and the efficiency is high.

The invention discloses a method for quickly detecting a delicious substance inosinic acid in raw and fresh pork based on a Raman spectrum, and relates to the technical field of livestock meat quality and safety detection. The method comprises the following steps: 1, measuring the Raman spectrum of an inosinic acid standard product; 2, obtaining the Raman spectrum of a raw and fresh pork sample; 3, measuring the content of inosinic acid by a chemical method; 4, performing Raman spectrum correction; 5, preferably selecting an inosinic acid feature peak; 6, calculating a feature Raman peak area; 7, constructing a detection model for the content of inosinic acid. According to the method, the delicious substance inosinic acid in the raw and fresh pork can be quickly detected by a microscopic confocal Raman spectrum technology, so that an effective quick pork delicious substance inosinic acid detection method which is easy to operate, low in cost and short in time is searched; the detection method is simple, safe and efficient and can meet the industrial production demand and the requirement of a customer on the quality of a product; therefore, the evaluation requirement on the flavor quality of a pork product in an actual production process is met.

The invention provides a method for detecting 35 veterinary drug residues in a meat product at the same time. The method can be used for detecting veterinary drug residue condition of the meat productsuch as pork, different national standard methods only can detect the same class of veterinary drugs, and the method provided by the invention can detect 35 different classes of veterinary drugs at the same time. Determination shows that the linearity of the 35 veterinary drugs in 20-200ng / mL is good, and correlation coefficient is higher than 0.99; low-concentration recovery rate of a pork sample at 10 microg / kg is 70-120%, and relative standard deviation is less than 0.2; and detection limit is less than or equal to 10 microg / kg, and the convenient examination requirement is met. The methodprovided by the invention is good in selectivity, high in sensitivity and simple and easy to operate, and a reagent is saved.

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 provides a method for detecting the freshness of pork by using FAIMS (Field Asymmetric Ion Mobility Spectrometry). The method comprises the following steps of: (1) preparing a pork sample solution from a pork sample; (2) carrying out FAIMS detection, namely adding the pork sample solution into a sample injector, and controlling the temperature of the sample injector to be between 20 DEG C and 90 DEG C, so that the pork sample solution evaporates and forms trimethylamine balance gas; then introducing carrier gas with the flow rate being 500mL / min to 3500mL / min into the trimethylamine balance gas to form mixed gas, introducing the mixed gas to an FAIMS detector for detection, and controlling the pressure of the FAIMS detector to be between 0.5bar and 2.5bar. According to the method for detecting the freshness of the pork by using the FAIMS, the ion current value of a trimethylamine characteristic peak of the pork sample in the freshness change process is detected, so that a standard for evaluating the freshness of the pork is obtained, the accuracy is high, the operation is simple and convenient, and the detection cost is low.

The invention discloses a nondestructive testing method for the freezing storage period of pork based on an electronic nose. The nondestructive testing method comprises the following steps: step S01, sampling: extracting a frozen pork sample; step S02, data acquisition: carrying out headspace gas acquisition on the pork sample by using the electronic nose; step S03, establishment of a prediction model: observing the capability of the electronic nose in distinguishing different freezing storage periods and long-time refrigeration before freezing storage by using principal component analysis, variance analysis based on repeated measurement data and nonparametric testing of independent samples, and then establishing the prediction model for determining the freezing storage period of pork and for determining whether pork has undergone long-time refrigeration before freezing storage by using an artificial neural network algorithm; and step S04, result prediction: predicting results according the headspace gas acquisition results of the unknown sample and the prediction model. The nondestructive testing method provided by the invention is applicable to rapid and nondestructive testing of the freezing storage period of frozen pork and testing of whether frozen pork has undergone long-time refrigeration before freezing storage.

The invention discloses an identification method for pork of black pigs and landraces to measure fat content, red degree value, pH value, shearing force, cooking loss rate and chewiness of to-be-detected pork samples respectively; the measured figures are input to an identification equation to calculate so as to obtain Y value; when the Y value is less than or equal to 17.28, the samples are black pig pork; when the Y value is greater than or equal to 17.75, the samples are landrace pork; the identification equation is as follow: the Y is the sum of 0.1099* fat content value, 0.1413* red degree value, 0.034*pH value, 0.3186*shearing force value, 0.0982*cooking loss rate, and 0.2981* chewiness value. The identification method has the advantages that the detection method is simple, the operation is easy and the accuracy and practicability are high and the like.

The invention discloses a device for detecting pork heavy metal distribution through tunable resonance laser-induced breakdown spectroscopy. According to the device, a pork sample subjected to dryingand tabletting is subjected to ablation breakdown under action of a pulsed laser beam so that plasma is produced, an OPO laser adjusts output laser wavelength to resonance excitation wavelength of theatom of an element to be detected, a position adjustment mechanism is adjusted to control movement of an OPO focusing lens three-dimensional space so that the OPO laser beam is focused to the centerof the plasma, the atom of the element to be detected absorbs the energy and produces transition so that a fluorescence spectrum is produced, a spherical mirror carries out spatial constraint on the plasma so that many plasmas as possible are focused by a plasma collection achromatic lens assembly and then collected and transmitted to a spectrometer through a fiber optic probe, the spectrometer converts the received spectral signal into an electrical signal and transmits it to a processing terminal and the processing terminal compares the detected spectrum so that fast, accurate and eco-friendly detection is realized.

The invention discloses a method of identifying a Tibetan pig and meat products based on chemometric analysis, which includes steps: a pork sample is preprocessed; volatile flavor substances in the pork sample are extracted, volatile flavor substances are subjected to qualitative and quantitative analysis by adopting a gas-chromatography-smelling-mass spectrometry combined instrument, and the flavor information is obtained; the flavor information is analyzed by adopting a partial least squares discriminant analysis method, and a Tibetan pig discriminant model is built; and the flavor information of an unknown pork sample is obtained and inputted to the discriminant model, and whether the unknown pork sample is a Tibetan pig is identified according to the output result. The method has the advantages of convenient, quick and accurate identification.

The invention relates to the field of veterinary drug residue detection, in particular to an analysis method for efficiently detecting piperazine residues in chicken tissue, eggs and pork. The methodcomprises the steps of extracting and purifying the chicken tissue, eggs or pork samples through an accelerated solvent extraction method and a solid phase extraction method, performing derivatizationwith dansyl chloride and then performing detection by using an ultra-high performance liquid chromatography fluorescence detection method. Compared with other detection methods, the method has the advantages of higher analysis efficiency, less mobile phase consumption, a high recovery rate, high accuracy, high sensitivity and good reproducibility.

The invention discloses a method for quickly detecting the freshness of pork based on a laser imaging technology. Three pork texture images different in freshness level are collected by utilizing a laser imaging system, can reflect the appearance quality information of the pork and can also reflect the internal structure information of the pork. Firstly, the areas of interest (ROI) of the scattering images are extracted, then the average grey value and variance characteristics of concentric circles and the scattering texture characteristics of the ROI are extracted, a pork freshness classification model is established on the basis, and identification of like pork samples with unknown freshness levels is achieved by applying the model.

The invention relates to the field of veterinary drug residue detection, in particular to an analysis method for efficiently simultaneously detecting thiamphenicol, florfenicol and florfenicol amine multiple residues in poultry eggs, poultry meat and pork. The analysis method includes steps of 1), extracting and purifying poultry egg, poultry meat and pork samples; 2), carrying out ultrahigh-performance liquid chromatography-fluorescence detection. The ultrahigh-performance liquid chromatography-fluorescence detection includes a ultrahigh-performance liquid chromatography conditions and b fluorescence detection. The ultrahigh-performance liquid chromatography conditions include that aqueous solution with 0.005 mol / L of NaH2PO4, 0.003 mol / L of sodium lauryl sulfate and 0.05% of triethylamine is used as mobile phase A, and acetonitrile is used as mobile phase B. The analysis method has the advantages that the residues of the thiamphenicol, the florfenicol and the florfenicol amine in thepoultry eggs (chicken eggs, duck eggs, goose eggs, pigeon eggs and quail eggs), the poultry meat (chicken, duck meat and goose meat) and the pork can be efficiently and accurately simultaneously detected by the aid of the analysis method, and the florfenicol amine is metabolite of the florfenicol; the requirements of the Ministry of Agriculture of China, the FDA (Food and Drug Administration) ofthe America and the European Union (EU) on methods for detecting veterinary drug residues can be met.

The invention provides an SNP site for detecting the intramuscular fat content of pork. The SNP site is positioned at the upstream 1311bp position of a pig HOXA13 gene transcription initiation site; and the genotype of the SNP site is GG, GT or TT. Therefore, the SNP is named as (the formula is as shown in the description). The invention also provides a method for detecting the intramuscular fat content of the pork. The method comprises the steps of extracting the DNA of a to-be-detected pork sample, parting amplified fragments and judging the intramuscular fat content of a pork sample throughthe parting result. The method for detecting the intramuscular fat content of the pig is obtained by researching the correlation of the muscle development key gene HOXA13 and the intramuscular fat content; and based on the method, breeding of the pigs is benefited, foundation is laid for further increasing the intramuscular fat content of the pork and judging the intramuscular fat content of thepork conveniently and rapidly, and important significance in cultivating the pigs with excellent meat varieties is achieved.

The invention discloses a method for detecting freshness of pork. The detection method is characterized by comprising the following steps: (1) preparing pork standard samples of 6 storage times at 25DEG C; (2) selecting a sensor, setting a sensor distance, detecting a voltage, and detecting a frequency; (3) sequentially detecting the six standard samples and calculating a pure capacitance value Cstandard of each standard sample; (4) establishing a pork freshness standard curve by taking time as an X axis and taking the C standard as a Y axis; (5) detecting a pork sample to be detected by adopting the parameters in the step (2), and calculating a pure capacitance value C sample of the sample to be detected; and (6) substituting the C sample into the standard curve in the step (4) to obtain the freshness of the pork sample to be detected. Compared with the prior art, the method utilizes an electrochemical method to detect pork, can simplify various complicated detection means and improve the detection efficiency, and is simple to operate. Further, the detection method adopts immobilized detection, and can improve detection reproducibility and reduce detection errors.

The invention discloses a color difference meter assessment method for pork color. The method comprises the following steps of: cutting a pork block of which the thickness is not less than 2 centimeters from longissimus dorsi on a pig thoracolumbar spine joint which is fully cooled at the ambient temperature of 0-4 DEG C along a direction which is vertical to the trend of muscles, putting the cut pork block on a red plastic plate with a newly-cut surface facing upwards, wrapping the pork block with a single-layer colorless transparent fresh-keeping film, attaching the film to the pork block to avoid air bubbles and wrinkles, and developing color at the temperature of 0-4 DEG C for 30-60 minutes; and assessing pork color by using a color difference meter. Key points of the method are that: four factors, namely, pork sample thickness, background color, oxygenation temperature and color developing time, which influence the color difference meter assessment method for pork color are researched, so that a standardized operation specification is provided for the color difference meter assessment method of the pork color.

The invention discloses a magnetic carbon nanotube and a method for extracting lean meat essence from pork. The magnetic carbon nanotube Fe3O4@ Cys @ CNT is prepared by from FeSO4.7H2O, L-cysteine (Cys) and carbon nanotubes (CNT) as raw materials. The magnetic carbon nanotube Fe3O4@ Cys @ CNT is used as an adsorbent to extract the lean meat concentrate (ractopamine and clenbuterol hydrochloride) from the pork. The effective enrichment and separation of the lean meat essence in a pork sample to be tested is realized, and the sensitivity of the existing method for detection of the lean meat essence in the pork can be greatly improved.

The invention discloses a rapid lossless fresh pork shelf life evaluation method and a detecting system adopting the evaluation method. The detecting system is composed of a computer and a light spectrum information acquisition device, wherein a detection control analysis software system is mounted in the computer; a light spectrum data preprocessing algorithm routine, a total bacterial count light spectrum prediction model and an anti regression equation model of total bacterial count and shelf life are prestored in the detection control analysis software system; the detection control analysis software system can automatically preprocess the gathered light spectrum data, inputs the gathered light spectrum data as input variable into the total bacterial count light spectrum prediction model, predicts the total bacterial count in a pork sample, inputs the predicted value of the predicted total bacterial count in the anti regression equation model of the shelf life as the input variable, and automatically predicts the shelf life of the pork sample. Lossless detection can be realized, the detection speed and the efficiency are high, the cost is reduced, and the detecting system can be applicable to various occasions such as portable detection, online detection and the like.

The invention discloses a measuring method for nitrofuran medicines in pork. The measuring method comprises the following steps that: (1) adding a homogeneous pork sample into a centrifuge tube, adding mixed solvent of water and methyl alcohol to carry out vortex mixing and centrifugation to obtain solid sediments; (2) adding interior standard liquid into the solid sediments of S(1), evenly mixing, an adding acidic reagent and deriving agent to carry out deriving processing; (3) regulating the pH (Potential of Hydrogen) value of the derived solution of S(2) to be neutral, adding normal hexaneto evenly shake and carry out centrifugation, adding clear solution in a salt packet tube, and carrying out centrifugation by acetonitrile and formic acid aqueous solution in sequence to obtain extracting solution; and (4) filtering the extracting solution, and carrying out computer testing on filtrate. By use of the measuring method disclosed by the invention, a sample does not need to be processed by a solid phase extraction column, a step of extracting and drying by blowing through ethyl acetate is not required, preliminary treatment is simple and convenient, preliminary treatment time is shortened, detection efficiency is improved, and in addition, detection data obtained by the method is stable and reliable.

The invention provides an electrochemical immunosensor used for CLB detection, and a preparation method thereof. The electrochemical immunosensor possesses a working electrode based on a MoS2-AuPt nanometer composite and a biotin-streptavidin system. The electrochemical immunosensor is high in sensitivity (detection limit is 6.86pg.ml<-1>), the specificity is high, the repeatability is acceptable,and the electrochemical immunosensor can be used for detection of practical pork samples.

The invention discloses a pork storage time detection method. The method is characterized by comprising the following steps: first, producing a detection chip which is used for detecting the storage time of pork, then dropping a solution, in which the pork is immersed, onto the surface of the detection chip, acquiring detection current from an electrochemical workstation, substituting the detection current value into a storage time detection model which is prestored in a computer, and calculating the storage time of the pork sample. The pork storage time detection method has the characteristics that the storage time of pork can be rapidly identified, the detection cost is low, the interference resistance is strong, and the method is applicable to occasions for detecting mass samples.

The invention relates to a method for rapidly detecting beta receptor agonist in pork. The method comprises the steps of: 1) weighing a pork sample, carrying out homogenizing and enzymatic hydrolysis,adding an extracting solution, carrying out vortex oscillation for 10-15 minutes and centrifuging for 5-10 minutes at the speed of 8000rpm to obtain supernatant for later use; 2) After pretreating anMCX (Mixed-mode Cation eXchange) solid phase extraction column, loading the supernatant of the step 1) onto the MCX solid phase extraction column, washing by using deionized water, draining the MCX solid phase under negative pressure, eluting the MCX solid phase extraction column by using eluent, concentrating, drying and diluting by using a 0.1% of formic acid solution to obtain a sample liquid;and 3) loading the sample liquid onto an ultra-high performance liquid chromatograph to detect the content of the beta receptor agonist in the sample liquid. The method disclosed by the invention hasthe advantages that the enzymatic hydrolysis time is significantly shortened by optimizing the enzymatic hydrolysis conditions; the pork sample can be quickly pretreated through extraction and elution; a satisfactory separation effect can be quickly obtained when the sample loading and detection are carried out by using the ultra-high performance liquid chromatograph of the method; and the methodis simple and convenient to operate, fast and high in efficiency and is suitable for the detection of large-batch samples.

The invention discloses a hog cholera salmonella detection method. It also discloses its PCR primer and kit. The PCR detection method can be used in human whole blood and other clinic sample, animal and human excreta sample, pork sample etc which can rapidly gain the detecting result and has high sensitivity.

The invention discloses a method and a system for rapidly screening and detecting characteristic metabolic volatile matters of meat products, which are characterized in that the characteristic metabolic volatile matters of the meat products are used as research objects, and characteristic information of each metabolic volatile matter is represented by different retention times and ionic strengths of compounds; data visualization is realized by utilizing a MetaboAnalyst data analyzing system and combining metabonomics analyzing methods such as multivariate statistics and the like, so that the characteristic metabolism volatile matters of the pork sample are quickly and accurately screened out. Meanwhile, a portable smart Raman spectrum detection system is developed, integrated, miniaturized and portable Raman spectrum equipment is developed, and a cloud computing model resource library and a Raman spectrum cloud analyzing platform capable of being remotely called are constructed. Raman spectrum data of an independent unknown sample set is collected, and a detection result is obtained by using a cloud computing model. The invention provides a new idea for rapid screening and detection of meat product characteristic metabolism volatile matters, develops a new technical field, and can overcome the limitations of complexity and poor accuracy of the existing detection method.

The invention, which relates to the technical field of food detection, discloses a detection method for measuring the trichlorfon in meat food by liquid chromatography-tandem mass spectrometry. The method comprises: 2g to 10g of pork samples are weighed by using an electronic scale, the pork samples are placed in a beaker, 30mL to 100mL of ethyl acetate is added into the beaker, the samples and the ethyl acetate are mixed uniformly by using a homogenizer, and then ultrasonic processing is carried out for 10 min to 20 min in normal temperature water bath; the ethyl acetate extract of the pork samples is transferred to a separating funnel, centrifugal processing is carried out for 5 to 10min in a centrifuge tube at a centrifugal speed that is controlled to be 8000-10000r / min, so that an extract is obtained. According to the invention, the trichlorfon in the port is detected by using the liquid chromatography tandem mass spectrometry and the separation ability of chromatography is combined with the qualitative function of mass spectrometry, thereby realizing the accurate quantitative and qualitative analysis of trichlorfon in pork food. In detection of the trichlorfon residues in porkfood, the interference can be effectively eliminated and the stability of a to-be-tested object can be ensured. Moreover, the detection and analysis method has high sensitivity and high accuracy.

The invention discloses a visual detecting method for a pork maturity condition. The visual detecting method comprises the following steps: (1) judging a maturity category of a pork sample according to physical and chemical indexes of the pork sample; (2) scanning the pork sample by using a near-infrared hyperspectral meter to obtain a three-dimensional hyperspectral image; (3) extracting spectral images of the pork sample under five characteristic wavelengths; (4) establishing a three-layer neural network; (5) scanning the to-be-detected pork sample by using the near-infrared hyperspectral meter, and obtaining the maturity category result of each pixel of the three-dimensional hyperspectral image of the to-be-detected pork sample by virtue of the three-layer neural network; (6) respectively representing three maturity categories with three colors to obtain a distribution diagram of the pork maturity condition of the to-be-detected pork, and judging the pork maturity condition. The visual detecting method for the pork maturity condition disclosed by the invention can be used for quickly judging the grade of maturity of livestock meat without damages, so that both physical and chemical indexes are not needed to be measured, and a professional training spectral model is also not needed.

The invention discloses a water-saving brushing device for blind roads, which comprises a car body and a water pump; rollers are arranged under the car body; a scrubbing barrel is arranged on the left side of the car body, and the brushing barrel is vertically arranged and the top of the scrubbing barrel is connected to the bottom of the car body. The surface is fixedly connected; the lower end of the brushing cylinder is provided with a scrubbing tank; the brushing cylinder is provided with a brushing roller; the left inner wall of the brushing cylinder is provided with a water spray head; the water spray head is connected with a water outlet pipe, and the water outlet pipe extends To the top of the car body and connected with a water pump. The present invention is equipped with a crushing cylinder and a crushing blade group whose distribution density gradually increases from top to bottom in the crushing cylinder to efficiently crush pork samples, which is convenient for subsequent extrusion of pork; the present invention is provided with a hydraulically driven extrusion disc And the squeeze cylinder, the crushed pork sample is quickly squeezed, and the water content of the pork is measured with a measuring cylinder, which is more efficient than the traditional squeeze of the whole pork sample.

The invention discloses a rapid detection method for zilpaterol residues in pork, belonging to the field of food detection. The present invention uses density functional theory and the standard solution of zilpaterol to determine the Raman characteristic peak of zilpaterol; the Raman characteristic peak signal is strong and the characteristic peak of peak shape is 1113cm ‑1 Establish quantitative analysis curve Y=5214.7X‑35.844, correlation coefficient R 2 It is 0.9355; Afterwards, the pork sample is pretreated and extracted with an extraction solvent to obtain a test solution; then, according to the Raman spectrum and the standard curve of the test solution, the concentration of zilpaterol in the test sample is obtained by testing. The minimum detectable concentration of zilpaterol in pork detected by the method of the present invention is 5 mg / L, qualitative and quantitative analysis can be performed on the residue of zilpaterol in pork, and the detection time of a single sample is controlled within 3 minutes.