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Bioelectromagnetics
Article . 2021 . Peer-reviewed
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Bioelectromagnetics
Article
License: CC BY
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CONICET Digital
Article . 2021
License: CC BY
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https://dx.doi.org/10.60692/dn...
Other literature type . 2021
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Other literature type . 2021
Data sources: Datacite
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The Role of Pulsed Electromagnetic Fields on the Radical Pair Mechanism

دور المجالات الكهرومغناطيسية النبضية في آلية الاقتران الجذري
Authors: Pablo R. Castello; Pablo Jiménez; Carlos F. Martino;

The Role of Pulsed Electromagnetic Fields on the Radical Pair Mechanism

Abstract

In recent decades, the use of pulsed electromagnetic fields (PEMF) in therapeutics has been one of the main fields of activity in the bioelectromagnetics arena. Nevertheless, progress in this area has been hindered by the lack of consensus on a biophysical mechanism of interaction that can satisfactorily explain how low‐level, non‐thermal electromagnetic fields would be able to sufficiently affect chemistry as to elicit biological effects in living organisms. This specifically applies in cases where the induced electric fields are too small to generate a biological response of any consequence. A growing body of experimental observations that would explain the nature of these effects speaks strongly about the involvement of a theory known as the radical pair mechanism (RPM). This mechanism explains how a pair of reactive oxygen species with distinct chemical fate can be influenced by a low‐level external magnetic field through Zeeman and hyperfine interactions. So far, a study of the effects of complex spatiotemporal signals within the context of the RPM has not been performed. Here, we present a computational investigation of such effects by utilizing a generic PEMF test signal and RPM models of different complexity. Surprisingly, our results show how substantially different chemical results can be obtained within ranges that depend on the specific orientation of the PEMF test signal with respect to the background static magnetic field, its waveform, and both of their amplitudes. These results provide a basis for explaining the distinctive biological relevance of PEMF signals on radical pair chemical reactions. © 2021 Bioelectromagnetics Society.

Country
Argentina
Keywords

Physiology, FOS: Political science, RADICAL PAIR MECHANISM, MAGNETIC EFFECTS, Nuclear magnetic resonance, Context (archaeology), Engineering, https://purl.org/becyt/ford/1.6, REACTIVE OXYGEN SPECIES, Political science, Physics, Life Sciences, Mechanism (biology), PEMFS, Biological Effects of Electromagnetic Fields, Programming language, Bioelectromagnetics, Chemistry, Biofield Medicine and Biophoton Emission Research, SIGNAL (programming language), SPIN BIOCHEMISTRY, Medicine, Relevance (law), Influence of Magnetic Fields on Biological Systems, Chemical physics, Biophysics, FOS: Law, Quantum mechanics, Electromagnetic Fields, Biochemistry, Genetics and Molecular Biology, Field (mathematics), Health Sciences, Electromagnetic field, FOS: Mathematics, https://purl.org/becyt/ford/1, Biology, Pure mathematics, Paleontology, Zeeman effect, Computer science, Biochemical engineering, Magnetic Fields, Magnetic field, FOS: Biological sciences, Biological system, Statistical physics, Reactive Oxygen Species, Law, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
hybrid