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Assessment of the Content of the Main Components of Breathing Mix. Part I Cover

Assessment of the Content of the Main Components of Breathing Mix. Part I

By:   
Open Access
|Aug 2026

Abstract

In quantitative instrumental analysis, measurement results are most often obtained in the form of relative analytical signals, which require in the calibration process1 reference to measurement standards2 in order to determine the value of the measured quantity3 with the accuracy and precision needed. The measurement results are influenced by a number of interfering factors that are difficult to define unambiguously and simultaneously4 and which shape the magnitude of systematic errors. These are mitigated by carrying out measurements on test samples and reference samples under conditions that are as close to identical as possible, which allows for the determination of appropriate corrections to the measurement results obtained from the conversion of relative analytical signals. The measurement process, which takes such corrections into account, is considered to be under statistical control, i.e. on the assumption that random components are the dominant component of measurement uncertainty.

The articles present a method for estimating measurement uncertainty based on measurement standards, used in instrumental analysis, which is under statistical control of the process. It is illustrated by the determination of the content of the main components of breathing mixtures in diving with the separation of components by gas chromatography using a thermal conductivity detector5.

DOI: https://doi.org/10.2478/phr-2026-0009 | Journal eISSN: 2084-0535 | Journal ISSN: 1734-7009
Language: English
Page range: 43 - 100
Submitted on: Feb 14, 2026
Accepted on: Feb 25, 2026
Published on: Aug 29, 2026
Published by: Polish Hyperbaric Medicine and Technology Society
In partnership with: Paradigm Publishing Services

© 2026 Ryszard Kłos, published by Polish Hyperbaric Medicine and Technology Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.