Abstract
In this contribution we further explore our innovative stochastic dynamic (SD) concept and model formulas treating quantitatively experimental mass spectrometric (MS) variable intensity with respect to the analyte concentration in solution by introducing the so-called mass spectrometric stochatic dynamic diffusion parameter (DSD.) It is directly connected with the measurable outcome. The steroids (STs) in mixture: hydrocortisone (1), deoxycorticosterone (2), progesterone (3) and methyltestosterone (4) at analyte concentration ng.(mL)-1 are studied. The reader's attention is focused on our new more simplistic model formula: D”SD = 2.6388.10-17.(<I2> – <I>2) connecting between DSD data and the MS intensity values. Its experimental testability is discussed. A correlative analysis among the stochastic dynamic parameters derived, so far, is presented. The MS results are correlated independently with chromatographic data. Chemometrics is carried out. The excellent chemometric data obtained in this study show that it significantly contribute not only to the field of the quantitative analytical chemistry, but also to our understanding of the functional relationships among mass spectrometric measurable variables, experimental factors and parameters such as the analyte concentration in solution and the temperature as well as molecular parameters and properties, respectively.
Highlights
The steroids (Figure 1) have a broad spectrum of biological activity
In this contribution we further explore our innovative stochastic dynamic (SD) concept and model formulas treating quantitatively experimental mass spectrometric (MS) variable intensity with respect to the analyte concentration in solution by introducing the so-called mass spectrometric stochatic dynamic diffusion parameter (DSD.) It is directly connected with the measurable outcome
The excellent chemometric data obtained in this study show that it significantly contribute to the field of the quantitative analytical chemistry, and to our understanding of the functional relationships among mass spectrometric measurable variables, experimental factors and parameters such as the analyte concentration in solution and the temperature as well as molecular parameters and properties, respectively
Summary
The steroids (Figure 1) have a broad spectrum of biological activity. They influence widespread processes in the living systems such as the electrolyte-water balance; the metabolism of proteins, fatty acids, carbohydrates; the functions of cardiovascular and nervous systems; the coagulation/fibrinolysis system, causing for intra-cardiac and arterial embolism, pulmonary embolism, thrombosis; and more.The biological role of STs in humans has been shown as: (i) Implementation into processes of reproduction and sexual differentiation; (ii) regulation of metabolism; (iii) affect on the nutrient supply; (iv) cell development and growth; and more. The steroids (Figure 1) have a broad spectrum of biological activity They influence widespread processes in the living systems such as the electrolyte-water balance; the metabolism of proteins, fatty acids, carbohydrates; the functions of cardiovascular and nervous systems; the coagulation/fibrinolysis system, causing for intra-cardiac and arterial embolism, pulmonary embolism, thrombosis; and more. A significant amount of research effort, so far, has been concentrated on determining STs in biological human and animal samples, for instance, urine, human serum or hair. Such analysis is compulsory required by control authorities including doping control authority and health institutions
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