Photons Production and Communications in Biological Systems 


Author: S. N. Mayburov and Ilya Volodyaev

Affiliation: Lebedev Institute of Physics, Russia 
Conference/Journal: Progress In Electromagnetics Research Symposium Abstracts,
Date published: 2009 Aug 18-21
Other:
  Word Count: 362  
    Possible mechanisms of biophoton production, signalling and induced mitogenetic 

effect are regarded in the framework of quantum optics and information theory. It’s argued that 

Popp theory of coherent biophoton field contradict to theoretical and experimental results for 

quantum dissipation in bio-systems [1] which give the coherence life-time less then 10−13 sec. 

We propose that the signalling between distant cells of bio-system performed by the noncoherent 

excitons, generated in cells nucleus, each exciton corresponds to one bit of information. On the 

border they are converted into photons leaving bio-system volume. The temporal variations of 

photon intensity, experimentally observed for fish and frog eggs [2], are analyzed as the communi- 

cations between computers by means of temporal data encoding. Assuming that the bio-systems 

can control and variate the temporal parameters of biophoton production by a factor 10−1 , it’s 

shown that this correlations correspond to the back-reaction algorithm of optimal tuning of this 

parameters, eventually, it results in the synchroniszation of bio-photon generation for distant 

bio-systems. 

Fuzzy ordered sets (Fosets) studied as possible basic structure of of quantum space-time and 

phase space (PS) [1]. It differs from Classical space-time manifold structure which is ordered 

set of points X , so for any points pair a, b strong order relation R : a < b (or b < a) holds 

corresponding to verity values V = 0 or 1. Foset M permit generalized or fuzzy order relations R 

between its elements — fuzzy points a, b, so that R set mapped to real V = w (a, b); 0 < w < 1; 

for example V about 0.5 means a, b are approximately equal. Thus relative to ordered coordinates 

axe X fuzzy point b characterized by positive function w(x) which describe b principal position 

uncertainty dx [1]. If Ωx is initial m state wa (x, t0 ) support, then for the arbitrary small interval 

∆xj 

∈ Ωx and FP a0 (t0 ) it follows: ∀∆xj ; a0 /∈ ∆xj ∪ a0 ∈ Ωx ; i.e., FP a0 can’t be located in 

any ∆xj ; for t > t0 it means that m source coordinate x is principally uncertain. It corresponds 

to QM superposition principle in FG; also, due to this effect. 

REFERENCES 

1. Engel, G. S., et al., Nature, Vol. 446, 782, 2008. 

2. Belousov, L. V., et al., Onthogenesis, Vol. 34, 453, 2003.