A New Approach to Energy Generation from Annihilation at the Cellular-Biological Scale
Abstract
Assuming the complete validity of the hypotheses from, which portray the observable universe as a highly scaled eukaryotic cell (scaling factor ~10¹⁸–10²⁰), antimatter is integrated into this framework. Antimatter, characterized by its annihilating interaction with matter and 100% energy conversion (E=mc²), is primarily mapped to pro-apoptotic factors (e.g., Bax, caspases) that trigger programmed cell death cascades. Additionally, antimatter functions as a “semantic boundary”: In the pathogen mapping, it corresponds to foreign information (via Fisher information), whose collision with self-information (matter) leads to annihilation of coherence – analogous to baryogenesis as the establishment of cellular integrity. On the quantum level, this extends to annihilation in microtubules: Virtual particle pairs (vacuum fluctuations) act as biological error-correction bits, and matter-antimatter pairs as recursive, self-erasing computational steps (reversible computing), linked to Orch-OR and Predictions 3/11. This mapping is reinforced by the energetic symmetry of the hypothesis: Annihilation is the most radical expression of universal energy quantization, where the chemical scale is defined as a holographic projection of the nuclear scale. Apoptosis exactly corresponds to this principle of total resource release. Alternative mappings to viruses/pathogens and virtual quantum fluctuations in microtubules are discussed. This integration introduces no contradictions but extends predictions (e.g., Prediction 17 on energy scaling), with implications for new energy sources and testable asymmetries (e.g., via DESI data). The analysis underscores an oppositional duality that reinforces the biological nature of the cosmos.
Fields of Study & Subjects
Biofield Effects and Biophysics
Advanced Mathematical Theories and Applications
Origins and Evolution of Life
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 January 2026
- Document type
- Preprint