Speaker
Description
Pulsed Electromagnetic Fields (PEMFs) have gained widespread therapeutic use, yet their underlying mechanisms remain elusive. Historically attributed to electric field effects, recent studies propose a magnetic basis grounded in the Radical Pair Mechanism (RPM). This framework explains how low-intensity magnetic fields influence radical pair spin dynamics via Zeeman and hyperfine interactions, modulating biochemical reaction rates and outcomes.
Here, we present a computational investigation that combines generic PEMF test signals with RPM models of varying complexity. Our results reveal how distinct chemical yields depend sensitively on the PEMF signal’s orientation, waveform, and amplitude relative to the static background magnetic field. Notably, the characteristic "on-off" waveform of PEMF signals—analogous to "bang-bang" control in optimal control theory—emerges as a potentially optimal strategy to influence radical pair dynamics. This approach optimally minimizes or maximizes the singlet quantum yield, providing a mechanistic link between PEMF waveforms and their observed biological effects.
By integrating optimal control techniques with quantum spin dynamics, our study bridges theoretical insights with practical applications. This dual focus on physical-biomechanical and biochemical mechanisms underscores the interplay between PEMF waveforms and the RPM, suggesting new avenues for tailoring electromagnetic therapies. The findings lay the groundwork for further exploration of PEMFs as diagnostic and therapeutic tools, offering a unified perspective on their biological relevance.
