Mathematical modelling and analysis of elite athletes’ sprint data to study the rate and regulation of ATP during a maximal exercise of short duration
- Published
- Accepted
- Subject Areas
- Computational Biology, Mathematical Biology, Global Health, Kinesiology, Nutrition
- Keywords
- Anaerobic Subsystems, PCr, ATP, Optimisation, Sprinters, Mathematical Modelling
- Copyright
- © 2018 Chuckravanen et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- (2018) Mathematical modelling and analysis of elite athletes’ sprint data to study the rate and regulation of ATP during a maximal exercise of short duration. PeerJ Preprints 6:e26919v1 https://doi.org/10.7287/peerj.preprints.26919v1
Abstract
According to the energy supply/energy depletion model, it is not clear how the depletion of substrates (adenosine triphosphate) affects sprint performance. Therefore, this research was conducted to find out how the human organism regulates the amount and the rate of adenosine triphosphate to observe how these factors affect performance specifically during a maximal exercise of short duration.It was found there was a causal relationship between percentage of PCr and speed which might affect sprint performance.The percentage of chemical energy derived from the anaerobic energy system was found to be 95% for 100-m sprint running. The rate constant for the PCr anaerobic metabolic energy process (0.31s-1) was found to be greater than that of the oxygen-independent glycolysis metabolic process (0.11s-1) and these rate constants affect sprint performance.
Author Comment
This is a submission to PeerJ for review.