Quantum-Fluid Interpretation of Enzymatic Tunnels and Energy Transport
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Barack Ndenga
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Abstract
Enzymatic tunnels—internal channels guiding substrates, protons, electrons, or conformational energy—are traditionally described using classical diffusion, transition state theory, or vibrational coupling.
Here, I propose a novel framework: the Quantum-Fluid Interpretation, where enzymatic tunnels behave as coherent nano-fluids governed by π-field dynamics, enabling long-range energy transport, ultrafast communication, and directionality without significant energy loss.
This model integrates quantum hydrodynamics, π-coherence fields, and nonlinear curvature-driven flows to describe tunneling, proton transfers, allosteric propagation, and catalytic acceleration.
To my knowledge, this is the first article to formalize enzymatic tunnels as quantum fluid conduits, establishing a new branch of bio-quantum dynamics.
Description
This work introduces a novel theoretical framework in which enzymatic tunnels are reinterpreted as quantum-fluid coherence channels rather than simple geometric pathways. Guided by π-field hydrodynamics, these tunnels support coherent, directed energy transport at the nanoscale, providing a unified explanation for ultrafast proton movement, long-range communication between protein sites, low-dissipation energy flow, and the remarkable sensitivity of catalytic efficiency to single-point mutations.
In this article, I develop a quantum-hydrodynamic model incorporating coherence density, phase-field dynamics, and the π-induced quantum potential 𝑄𝜋.
The resulting framework predicts:
ballistic-like transport within enzymatic tunnels,
π-gradient–driven directionality,
coherence-supported reduction of effective energy barriers,
mutation-induced π-defects disrupting transport,
and the emergence of nanoscale quantum-fluid vortices.
To the best of my knowledge, this is the first scientific work to formally characterize enzymatic tunnels as quantum-fluid conduits governed by π-field dynamics. This establishes a new research direction at the intersection of quantum biology, enzymology, and nanophysical modeling, which I refer to as Quantum Fluid Enzymology (QFE).
The deposition includes conceptual figures, theoretical equations, and a computational π-fluid simulation approach for tunnel transport