3 results about "Beef sample" patented technology

The application provides a beef full-chain traceability and quality evaluation method and system based on identification sensing, relates to the technical field of intelligent breeding and food quality traceability, and solves the technical problem that the existing technology cannot realize multi-source data fusion analysis and cross-stage quality mapping in the whole breeding process. The method specifically comprises: acquiring multi-source data of cattle; judging the behavior state of the cattle by calculating the activity intensity feature based on the behavior data; estimating the core temperature of the cattle based on the body surface temperature, activity intensity feature and temperature and humidity; calculating the animal welfare index based on the core temperature, activity intensity feature and environmental data; obtaining the fat content and protein content of the beef sample through Raman spectrum detection, and constructing the mapping relationship between the animal welfare index and the fat content and protein content; obtaining the meat quality evaluation index by weighted summation of the fat content and protein content, generating beef product full-link traceability information and visualizing the information. The application is used for beef quality traceability.

The application discloses a method for identifying grazing beef, and relates to the technical field of livestock product quality identification, and comprises the following steps: detecting three core indexes of a beef sample, i.e., a yellowness value, an n-6 / n-3 polyunsaturated fatty acid ratio and a shear force, and quickly and accurately determining whether the beef is raised by grazing or feeding in a shed. The application is based on the key quality differences between grazing beef and feeding beef, and establishes a scientific identification method and threshold standard. The method is simple to operate and has high accuracy, can be used for grassland beef quality certification and brand protection, and has important economic value and market application prospect.

The application discloses a kind of based on dynamic metabolic excitation and smell fingerprint pollution beef identification method and device.The method includes the following steps: S1 sample preparation and inoculation;S2 dynamic metabolic excitation and signal acquisition: the sample after inoculation is placed in the environment of program temperature control, and the high-resolution time series data aligned with temperature-time curve is obtained by executing the preset dynamic temperature cycle program;S3 dynamic feature extraction and processing: the time series data collected is preprocessed and feature extracted;High-dimensional dynamic feature vector is constructed;S4 pollution identification: the high-dimensional dynamic feature vector is input into the machine learning classification model trained in advance, and the microbial contamination type identification result of beef sample is output by the model.The method and device of the application can actively excite, capture and analyze the new method and device of specific metabolic signal in complex microbial contamination system, to realize the rapid and accurate identification of various foodborne pathogens in beef.