Applying covariance analysis to determine the factor influence on the control parameter in colorimetric study

Abstract

The paper considers solutions to a scientific and practical problem of applying covariance analysis to determine the factor influence on the functional transformation of the control parameter in colorimetric study. The study implies determining the factor influence on the additive and multiplicative components of the measurement error of the colorimetric control parameter to assess the validity of conclusions about the factor influence on the transformation of the control parameter. The limitations on the number of basic levels (control parameters) and the factors influencing the result of colorimetric control are determined. During the study, the equations to assess the validity of statistical conclusions about the informational significance of the colorimetric control indicators for a simplified model of cross-classification were obtained.
 The need for the study is due to the fact that in colorimetric control of cereal grains, the measurement uncertainty of the results of measuring the values of the controlled indicators at given levels of the control parameter is quite high.
 In modern industry, colorimetry has a number of advantages over other methods, such as weight analysis. Colorimetric determinations are performed much faster. In the case of weight analysis, the chemical reaction is at the beginning of the determination followed by a series of long operations, while in the case of colorimetry, the colors are compared immediately after the chemical reaction. Therefore, the colorimetric method belongs to the methods of express control.
 The main task of colorimetric express control (in our case) is to determine the quality of cereal grains. The task is important and relevant because grain, namely flour, is the main ingredient of many foods, e.g. bread, pasta, pastries, and cookies. Quality products can be obtained only from quality raw materials. Thus, at present time, it is relevant to determine the quality of cereal grains, and flour as the derived product, in Ukraine.