George Czerlinski

Homeopathic Potentization Based on Nanoscale Domains

OBJECTIVES The objectives of this study were to present a simple descriptive and quantitative model of how high potencies in homeopathy arise. DESIGN The model begins with the mechanochemical production of hydrogen and hydroxyl radicals from water and the electronic stabilization of the resulting nanodomains of water molecules. The life of these domains is initially limited to a few days, but may extend to years when the electromagnetic characteristic of a homeopathic agent is copied onto the domains. This information is transferred between the original agent and the nanodomains, and also between previously imprinted nanodomains and new ones. The differential equations previously used to describe these processes are replaced here by exponential expressions, corresponding to simplified model mechanisms. Magnetic stabilization is also involved, since these long-lived domains apparently require the presence of the geomagnetic field. Our model incorporates this factor in the formation of the long-lived compound. RESULTS Numerical simulation and graphs show that the potentization mechanism can be described quantitatively by a very simplified mechanism. The omitted factors affect only the fine structure of the kinetics. Measurements of pH changes upon absorption of different electromagnetic frequencies indicate that about 400 nanodomains polymerize to form one cooperating unit. Singlet excited states of some compounds lead to dramatic changes in their hydrogen ion dissociation constant, explaining this pH effect and suggesting that homeopathic information is imprinted as higher singlet excited states. CONCLUSIONS A simple description is provided of the process of potentization in homeopathic dilutions. With the exception of minor details, this simple model replicates the results previously obtained from a more complex model. While excited states are short lived in isolated molecules, they become long lived in nanodomains that form coherent cooperative aggregates controlled by the geomagnetic field. These domains either slowly emit biophotons or perform specific biochemical work at their target.

Action of Excited State Molecular Networks

Nanodomains are groups of water molecules held together by an electron in an excited state. We investigate the interaction of nanodomains with living matter through acceleration of an enzyme cycle. We formulate a mechanistic model with four enzyme forms in a cycle and three successive phases. In Phase 1 a slowly catalyzing reaction approaches steady state. In Phase 2 the enzyme forms convert to their excited states using nanodomain energy, and a new stationary state is reached. The high rate of excited state energy movement in living systems leads to rapid conversion to the excited state, and the excitation energy needs to be supplied for only a short period. The excited state produces a very fast cycle, which is stable for a much smaller enzyme concentration than needed for the slow cycle. In Phase 3 the excited states decay. These phases are simulated by solving differential equations numerically.

Short-lived intermediates in aspartate aminotransferase systems

The kinetics of the reaction of aspartate aminotransferase with erythro-beta-hydroxy-aspartate, in which rapid mixing is followed (upon reaching a suitable stationary state) by a very fast temperature jump, is numerically simulated. Values for rate constants are used to the extent known, otherwise estimated. It is shown that reaction steps not resolvable by rapid mixing can be resolved by subsequent chemical relaxation. Since several absorption spectra of enzyme complexes overlap, use of a pH-indicator is investigated. When the pH-indicator is coupled to the protonic dissociation of free enzyme, the fast steps are easily detected in the chemical relaxation portion of the simulation. When the pH-indicator is coupled to the protonic dissociation of the (short-lived) quinoid intermediate, protonic dissociation is easily detectable in the stopped flow phase and in the chemical relaxation phase. Such transient protonic dissociation has not been detected experimentally, but is predicted by the simulation. When natural substrates are used, the magnitude of the rate constants makes it unlikely that transient proton dissociation can be detected by stopped flow alone, but a combination of stopped flow with very fast temperature perturbation allows detection of the transient proton through use of a suitable nonbinding pH-indicator. This is demonstrated by simulation for a specific case. Finally, an alternate mechanism is introduced and distinction of its kinetics from that of the original mechanism is demonstrated.