Meat fiber texture comparator

Abstract

The invention discloses a meat fiber texture comparator which belongs to comparators. The meat fiber texture comparator structurally comprises a detector, a sensing mirror and a sample testing utensil, wherein a detector switch, a USB (universal serial bus) interface and a storage hard disc are arranged on the detector; a display screen is arranged at the upper part of the detector; the detector is connected with the sensing mirror through an optical signal wire; the sample testing utensil is arranged at the lower part of the sensing mirror; and an irradiation lamp is arranged in the sample testing utensil. Compared with the prior art, the meat fiber texture comparator provided by the invention has the characteristics of being capable of accurately detecting numerical scale values of meat fiber, muscle texture and fat status so as to represent the quality status of meat, providing systematic data for guiding production, cultivation or the cultivation method, providing guarantee for follow-up classification and reasonable processing of a meat product processing enterprise and improvement of cognition degree and processing quality of a product, being reasonable in design, having a simple structure, being convenient to use and the like, thereby having a great popularization value.

Description

technical field [0001] The invention relates to a comparison instrument, in particular to a meat fiber texture comparison instrument. Background technique [0002] At present, it is difficult for people to judge the quality of meat products, that is, the meat products produced by living organisms under different growth environment conditions, based on the growth time of meat products or traditional methods such as sensory visual inspection. This causes certain difficulties to reasonably evaluate the quality of this meat product. [0003] Often a variety of different levels of meat are mixed together for comprehensive evaluation, which lacks systematic data to guide production, breeding or breeding methods, and at the same time, there is no systematic data for evaluating the meat quality of different parts of an individual. Especially for meat processing enterprises, how to accurately understand the meat fiber, muscle, and fat status of the meat to be processed is very impor...

AI Technical Summary

Problems solved by technology

[0004] At present, there is no device that can accurately detect meat fiber, muscle texture, and fat status to indicate the quality of the meat.

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