Rapid quantitative analysis method for animals skeletal muscle fiber

Abstract

The invention discloses a method for rapidly and quantitatively analyzing skeletal muscle fibers of an animal. The method comprises the following steps of: 1) selecting skeletal muscle separated from an animal body to fabricate a frozen section; 2) carrying out succinate dehydrogenase dyeing for the frozen section in the step 1); 3) taking a picture for the dyed section in the step 2), saving the picture, and then quantitatively analyzing the picture by computer image processing and analyzing software. The succinate dehydrogenase dyeing is an improvement based on the prior succinate dehydrogenase dyeing technology. The computer image processing and analyzing software is software of Image Pro-plus 5.02 version. The method for rapidly and quantitatively analyzing skeletal muscle fibers of an animal is capable of screening out individuals with good meat quality from the viewpoint of muscle fiber classification.

Description

technical field [0001] The invention relates to a method for rapid quantitative analysis of animal skeletal muscle fibers. Background technique [0002] Animal muscle quality is actually a complex and changeable concept. Meat quality involves sensory indicators (meat color, marbling, taste, etc.), physical indicators (shear force, water loss rate, cooked meat rate), biochemical indicators (pH value, intermuscular fat content, inosinic acid content, phospholipids, muscle fiber type, muscle fiber density, muscle fiber area, muscle fiber diameter, etc.) and many other aspects. More and more studies have shown that tenderness is the determinant and the most important sensory characteristic leading to meat quality, and is an important indicator for evaluating the quality of muscle. [0003] The muscle texture of animal skeletal muscle is also one of the important factors affecting the tenderness. Regardless of the size of the live mass or the age of the slaughtered animal, the t...

AI Technical Summary

Problems solved by technology

[0006] In terms of muscle fiber analysis, most of the previous methods are too subjective, which is mainly reflected in manual counting after microscopic shooting, or artificial measurement of the long axis and short axis of the fiber cross section (approximately ellipse) to roughly estimate its area. The method is not only time-consuming and labor-intensive, but also highly subjective and low in accuracy.

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