Thermal Oscillation–Driven Nutrient Extraction in Fungi and Mushrooms: A USP Field Theory Extension (msf:47980)
Year: 2025
Type: article
Abstract: Fungi and mushrooms survive without light by extracting nutrients through thermally driven molecular oscillations rather than photonic excitation. In standard biochemistry, this process is described through enzymatic catalysis and Arrhenius reaction kinetics. This document provides a physical interpretation of fungal metabolism using USP Field Theory. In this framework, ambient heat does not supply metabolic energy directly but activates low-frequency molecular vibrations that weaken chemical bonds. The usable energy comes from the Gibbs free energy stored in substrate bonds, released as those bonds rearrange into more stable configurations. Thermal activation is described by: Thermal energy ≈ Boltzmann constant × temperature Reaction rates follow the Arrhenius form: Reaction rate = A · exp(−Activation energy / (Boltzmann constant × temperature)) In USP terms, enzymes act as geometric resonance filters that convert broad thermal noise into bond-specific vibrational stress. An effective damping coefficient can be written as: γ(T) = γ₀ · exp(−Activation energy / (Boltzmann constant × temperature)) This describes how efficiently thermal oscillations are focused onto target bonds. Fungal metabolism is therefore interpreted as a low-power, resonance-guided decomposition process operating in the thermal (terahertz) frequency band. Mycelial networks function as distributed sensors of thermal and chemical gradients, directing growth and enzymatic activity toward regions of higher effective resonance payoff. This work aligns fungal metabolism with USP biological resonance models and highlights a symmetry with photosynthesis: plants structure high-frequency light into useful resonance corridors, while fungi structure ambient thermal oscillations into controlled bond-relaxation pathways.
Author: Sepehri, Sadegh
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7114995445
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