On suitable observables for the chaotic Peroxidase-Oxidase autocatalytic reaction. Issue 13 (2018)

• Record Type: Journal Article
• Authors: Méndez-González, J.M.; Femat, R.
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 13(2018)
• Page Start: 109
• Page End: 114
• Publication Date: 2018
• Subjects: Chaotic behaviour -- Observability indices -- Reactive oxygen species -- Neurodegenerative diseases -- Autocatalysis; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.07.263
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Neurodegenerative diseases such as Alzheimer's and Parkinson present oxidative damage of neurocytes generally caused by reactive oxygen species (ROS). Heme peroxidases consume and produce ROS thus serving as suppresors and promoters of ROS-related pathology A core reaction network of production and consumption of hydrogen peroxide and superoxide is the Peroxidase-Oxidase (PO). PO reaction was among the first biochemical oscillators to be experimentally and numerically studied, with dynamical scenarios such as multiple steady states, complex oscillations and chaos. In particular, the oxyferrous peroxidase (compound III) and O2 have been used as observable variables in experiments to record the chaotic dynamics. Moreover, PO reaction has been embedded in nanoparticles in order to serve as a sensor for ROS. In this contribution we quantified, using observability coefficients, which chemical species is more suitable to observe and reconstruct the characteristic complex dynamics of the PO reaction.