An Informational Bound on Quantum Coherence in Enzyme Catalysis: A Testable Prediction from the Stochastic Rupture Framework

The persistence of quantum coherence in warm, wet biological systems remains an open puzzle. The Stochastic Rupture (SR) framework proposes that wavefunction collapse is triggered not by environmental noise directly, but by the saturation of local informational capacity, as bounded by the Bekenstein-Bousso limit. We apply this principle to enzyme catalysis, proposing that the protein scaffold maintains a low local informational saturation fraction (χ ≪ η) by suppressing modes that leak ”which-path” information, while dissipating internal entropy through a phonon sink. This non-equilibrium steady state permits quantum tunnelling at physiological temperatures. The framework makes a single, falsifiable prediction: a Mass Ceiling (Mcrit) for quantum-coherent enzymes. Beyond this limit, the protein’s own configurational entropy saturates its Bekenstein bound, rendering tunnelling impossible irrespective of environmental shielding. We estimate Mcrit ∼ 102–103 kDa and propose a simple bioinformatic test using the Protein Data Bank to verify the predicted abrupt mass cutoff.