10 results about "Chicken sample" patented technology

The application provides a method for detecting the content of sodium hypochlorite in chicken, and belongs to the technical field of quantitative detection. Terahertz spectrum testing is performed on a dried chicken sample to obtain the peak height of a sodium hypochlorite characteristic peak; then, according to a standard curve and the peak height of the sodium hypochlorite characteristic peak, the content of sodium hypochlorite in the chicken is obtained; the frequency of the sodium hypochlorite characteristic peak is 1.10 THz or 1.25 THz; and the standard curve is a fitting curve of the mass content of sodium hypochlorite in the chicken and the peak height of the sodium hypochlorite characteristic peak. Different molecules exhibit different absorption peaks in terahertz absorption spectrum, and the application detects the content of sodium hypochlorite in chicken by using a terahertz spectrum method, and obtains the content of sodium hypochlorite in chicken by using the fitting relationship between the peak height of the sodium hypochlorite absorption peak and the content of sodium hypochlorite. The method provided by the application is simple, and can quickly and accurately obtain the content of sodium hypochlorite in chicken.

The present disclosure relates to a kind of deep learning-based multi-source spectral fusion chicken quality detection method and sorting equipment, wherein the method comprises: obtaining the near-infrared hyperspectral image and visible-near-infrared hyperspectral image of the chicken to be detected;The near-infrared hyperspectral image and visible-near-infrared hyperspectral image are input into the chicken quality detection model, and the volatile base nitrogen content and total number of colonies of the chicken to be detected are obtained;According to the volatile base nitrogen content and total number of colonies, the quality of the chicken to be detected is determined.The purpose of the present disclosure is to provide a kind of deep learning-based multi-source spectral fusion chicken quality detection method and sorting equipment, which can realize the detection of chicken quality without damaging the integrity of the chicken to be detected.In addition, the detection process does not require human intervention, which not only improves the detection efficiency of chicken quality, but also can be applied to fully automated unmanned actual detection, which is conducive to the detection of large-scale chicken samples.

The application provides a SNP molecular marker and a breeding application method which are significantly related to the content of chicken meat flavor substance (E, E)-2,4-decadienal. The SNP molecular marker is rs316165567, contains a nucleotide sequence with a polymorphism of C / A at 2,519,798 bp of chicken chromosome 14, and when the genotype of the site is AA, the content of (E, E)-2,4-decadienal of the chicken meat sample is higher. The established molecular assisted breeding technology can early select the high-quality chicken flavor quality traits by determining the genotype of the SNP site of the measured chicken, can improve the content of (E, E)-2,4-decadienal of the chicken breast, and has great industrial application value and economic and scientific research value.

The invention provides an SNP (Single Nucleotide Polymorphism) molecular marker remarkably related to the content of a chicken flavor substance (E, E)-2, 4-decadienal and a breeding application method. The SNP molecular marker is rs316165567 and contains nucleotide sequences with C / A polymorphism at 2nd, 519th and 798bp positions on a chicken chromosome 14, and when the genotype of the site is AA, the content of (E, E)-2, 4-decadienal of a corresponding chicken sample is high. According to the established molecular assisted breeding technology, the flavor quality character of the high-quality broiler chicken is selected in an early stage by determining the genotype of the SNP site of the chicken to be detected, the content of the chicken breast muscle (E, E)-2, 4-decadienal can be increased, and the molecular assisted breeding technology has great industrial application value and economic and scientific research value.

The invention discloses a zhou chicken molecular marker genotype and phenotype correlation analysis and breeding method. The method comprises the following steps: firstly, collecting zhou chicken samples, recording growth, slaughter and reproduction phenotype indexes, extracting genome DNA, screening specific SNP markers on GH, IGF-1 and PRL genes, judging genotypes through PCR amplification and Sanger sequencing, and screening AA (GH), GG (IGF-1) and TT (PRL) dominant genotypes through GLM model correlation analysis; and screening a core parent based on the dominant genotype, and carrying out artificial hybridization, hatching egg incubation, chick breeding, offspring genotype and phenotype double screening and multi-generation breeding to obtain an excellent new strain. According to the new strain, the weight of the 12-week-old cocks is larger than or equal to 1650 g, the weight of the hens is larger than or equal to 1300 g, the slaughter rate is larger than or equal to 88%, the first laying day age of the hens is smaller than or equal to 140 d, the annual egg yield is larger than or equal to 200, the growth speed and the annual egg yield are increased by 25% and 18% respectively compared with a traditional variety, the problems that traditional breeding is long in period and low in accuracy are solved, and accurate and efficient breeding is achieved.

The invention relates to the technical field of food detection, in particular to a method for detecting volatile compounds in chicken breast of white feather chickens by GC-IMS (gas chromatography-ion mobility spectrometry), which comprises the following steps: incubating a chicken sample for 15 minutes under the conditions of 500r / min and 60 DEG C, and then detecting by a gas chromatography-ion mobility spectrometer. Wherein the gas chromatography conditions are as follows: the temperature of a chromatographic column is 60 DEG C, the carrier gas is high-purity helium, the flow is gradually increased from 2.00 mL / min to 100.00 mL / min by adopting a gradient program, and the total operation time is 30 minutes; ion mobility spectrometry conditions include that a tritium ionization source is adopted, the length of a migration tube is 53 mm, the electric field intensity is 500 V / cm, drift gas is high-purity nitrogen, the flow velocity is 150 mL / min, and a positive ion mode is adopted. The method does not need complex pretreatment, has the advantages of high sensitivity, high analysis speed, high separation capacity and the like, can accurately detect 45 volatile flavor substances such as aldehydes, alcohols, ketones, esters and the like in chicken, and provides reliable technical support for chicken quality evaluation and product development.

The application provides a method for detecting antibiotic residues in chicken, and belongs to the technical field of food detection. The method comprises the following steps: (1) freezing pretreatment of the chicken sample; (2) liquid phase extraction of the pretreated chicken sample, wherein the liquid phase extraction adopts a solution system, and the solution system comprises acidified acetonitrile, EDTA-2Na solution and phosphate; (3) enrichment and purification of the chicken extract, wherein the enrichment and purification adopts a series connection of an HLB solid phase extraction column, a C18 solid phase extraction column and an MCX solid phase extraction column; (4) drawing of standard curves of various antibiotics; and (5) detection of the sample to be measured by using a portable Raman spectrometer, and calculation of the content of each antibiotic in the sample according to the standard curves. The method uses freezing pretreatment, solution system extraction and the mode of enrichment and purification of three solid phase extraction columns, so that the extraction efficiency of the antibiotics in the chicken sample is significantly improved, and the detection accuracy of the antibiotics is improved.

This invention discloses a non-destructive method for detecting chicken freshness, comprising: acquiring hyperspectral image data of chicken samples and performing mean normalization preprocessing to form a visible light hyperspectral dataset and a short-wave near-infrared spectral dataset, which together constitute preprocessed hyperspectral image data; extracting characteristic wavelengths from the hyperspectral image data to form a characteristic band dataset; fusing the data in the hyperspectral image data to form a data fusion dataset; inputting the preprocessed visible light hyperspectral dataset, short-wave near-infrared spectral dataset, characteristic band dataset, and data fusion dataset into a trained improved residual network, and outputting the accuracy of modeling on a test set and the model establishment time required for the above datasets; selecting the result with the highest accuracy and shortest model establishment time on the test set as the non-destructive classification result of chicken freshness. This invention can achieve rapid and non-destructive detection of chicken freshness.

The invention discloses a multi-source coupled chicken protein content nondestructive testing method. The method comprises the following steps: collecting hyperspectral and Raman spectral data of a chicken sample to be tested; preprocessing the hyperspectral and Raman spectrum data; carrying out characteristic wavelength extraction on the two types of preprocessed spectral data by utilizing a continuous projection algorithm so as to screen out characteristic wave bands closely related to the chicken protein content, and forming respective characteristic wave band data sets according to the characteristic wave bands respectively screened out by the two types of spectral data; performing data fusion on the characteristic wave band data sets of the two spectrums to form a multi-source fusion data set; the multi-source fusion data set is input into a trained chicken protein prediction model, the model is a partial least square regression model, components with the strongest interpretability on spectral data and protein content are extracted through iteration, a regression relation is established step by step, and prediction of the protein content is achieved. The accuracy and efficiency of chicken protein content detection can be effectively improved.

The invention provides a method for eliminating ribosomal RNA in a chicken total RNA sample, which comprises the following steps: carrying out reverse transcription on the total RNA in the chicken sample to obtain cDNA, and amplifying the cDNA by adopting a primer sequence group to obtain a DNA fragment covering all sequences of the chicken ribosomal RNA; carrying out amplification by taking the DNA fragment as a template and adopting a single primer in the primer sequence group to obtain a single-stranded DNA probe; hybridizing the total RNA of the chicken sample by adopting a single-stranded DNA probe, and performing RNase H digestion to obtain a digestion product; sequentially carrying out DNase I digestion and RNA purification on the digestion product to obtain a target product; wherein the primer sequence group comprises first to seventeenth upstream primers and first to seventeenth downstream primers, and the primer sequence group has the characteristics of low cost, stable performance and high reduction efficiency.