Colloid–chemical regression model in analyzing the relationship between dynamic surface tension and the content of total protein and albumins in blood

Abstract

Mathematical statistics methods in chemistry and biology make it possible to apply certain analytical methods, e.g., interphase tensiometry, in diagnosing physiological states of humans and animals. This study is the first to use the regression method for modeling the relationship between the biochemical parameters of blood serum and dynamic surface tension (DST). We also demonstrate how the regression model can be used to determine the contents of total protein and albumins in blood serum from the known DST values at the liquid/air interface. As a result of constructing the regression model, we propose the regression equations characterizing the relationship between the DST values and the content of protein components in blood serum of animals.