Examination of Beef Products Classification Using Linear Regression Analysis

Abstract

Recently, chemometrics, which is also attracting attention in Japan, is attracting attention as a method for solving various problems in the chemical field by combining mathematical science, statistics, machine learning, pattern recognition, etc. . Even in the field of food science, research is being carried out as a method for finding out result connected to quality control methods from amount of chemical composition analysis. on the other hand, research has not been conducted on quality control methods focusing on the chemical components contained in the meat products themselves, and research has been limited to the inorganic components in meat products and the characteristics of meat products by lipid measurement. In this study, focusing on beef products, it aims to establish simple quality control method that contributes to taste, freshness evaluation, and safety requirement. Therefore, we considered that it is useful to measurement at a low cost using chemical component value involved in beef products. Additionally, these methods with chemometrics method (discriminant analysis and analysis of variance) optimized. As a result, it was possible to identify chemical components contributing to the classification condition of beef products.