Perturbed Living Organisms: A Cybernetic Approach Founded on Photon Emission Stochastic Processes

Kochel, Bonawentura

doi:10.1108/eb005865

Cited by 14 publications

(15 citation statements)

References 4 publications

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“…The memory function approach to oscillatory luminescence processes Memory time The MFA has already been constructed and applied to non-oscillatory bio-and chemiluminescence processes [1,2,4], but not to oscillatory ones. The MFA, which can be counted among methods of internal description [31,32], determines Perturbed living organisms in the terms of probability the interrelation between n(t) values in a process {n(t)}.…”

Section: Processmentioning

confidence: 99%

“…The MFA, which can be counted among methods of internal description [31,32], determines Perturbed living organisms in the terms of probability the interrelation between n(t) values in a process {n(t)}. It uses a notion of the normalized memory function π* = (π* 1 , π* 2 , …) [1,2], the values of which can be considered as probabilities of the influence of n(t -τ) on n(t), defined by Equations (22) and (23) result, at the definition equations.…”

Section: Processmentioning

confidence: 99%

“…The memory time T M has been employed as a perturbation measure in the case of non-oscillatory processes [1][2][3][4]: the stronger the perturbation, the shorter the memory time and vice versa.…”

Section: Processmentioning

confidence: 99%

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Perturbed living organisms: a cybernetic approach to oscillatory luminescence

Kochel

1995

Kybernetes

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IntroductionOscillatory bio-and chemiluminescence processes, unlike non-oscillatory ones, have not been analysed as yet by means of the memory function approach (MFA) founded on multiplicative stochastic models of photon-counting time series nor have such models been constructed before now. Through the application of the MFA[1,2] to non-stationary non-oscillatory photon emissions from perturbed or stimulated biosystems it is now possible to propose new types of perturbation measures [3,4] rather than relying on more ambiguous or/and local measures [5][6][7][8] which have been employed up until now.The question concerning non-local quantitative characteristics of perturbation/stimulation/excitation arises for biosystems whose internal (quasi-)periodic processes are manifested by oscillatory photon emissions. Periodic processes, both spontaneous and induced by xenobiotics, are quite normal for biosystems, especially since living organisms are open non-linear dynamic systems [9][10][11][12][13][14][15]. From the theoretical viewpoint of dynamic systems, stable or unstable oscillations in biosystems are connected with the existence of such attractors as a centre, limit cycle, or stable/unstable focus, respectively. Equivalently, in the case of oscillatory behaviour one can say there are interactions between subsystems within any given (bio-or eco-) system. That is to say, oscillations in the populations of two competing species[16], oscillations within a single organism [17], oscillations in non-synchronized cell cultures[10], oscillatory immunological processes[10] and oscillatory diseases [18,19].One can therefore expect that a MFA-based comparative analysis of oscillatory and non-oscillatory luminescence processes, resulting from either perturbation or stimulation, can give an additional insight into the problems of perturbation and persistence of biosystems. Such an analysis starting from the calculation of multiplicative stochastic models of photon emission process is presented here. Multiplicative stochastic models[20,21] describe periodic component-containing stochastic processes in the form of a superposition of two autoregressive-integrated moving average processes ARIMA(p,d,q) × ARIMA(P, D ,Q) s , which represent non-periodic and periodic components, respectively.

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Section: Processmentioning

confidence: 99%

Section: Processmentioning

confidence: 99%

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Perturbed living organisms: a cybernetic approach to oscillatory luminescence

Kochel

1995

Kybernetes

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“…This process consumes an additional amount of the free energy ∆G. Thus, any perturbation of homeostasis either increases energy dissipation, the rate of catabolic reactions and also the intensity of UPE or changes other parameters of radiation [7][8][9][10][11][12]. This is symbolically shown in figure 1 as the number of wave arrows (flux of photons) and the term ∆Enm, and will be discussed further in the next section.…”

Section: R (Reagent) ---------→P* ---------→P + Hν (2)mentioning

confidence: 99%

“…Intra-peritoneal administration of dietary fibres (pectin, cellulose) to mice generated super-oxide ion-radicals in exudate macrophages, which indicate the stimulation of host defence [31]. A luminescent response of neutrophils in human plasma to cytotoxic agents and nucleic acid/protein modulators was studied and cybernetic quantitative models of UPE stochastic process were proposed [7][8][9]. Electronic excited states and UPE pumped by ROS in human blood erythrocytes and neutrophils appear extremely sensitive to tiniest fluctuations of external photonic fields and might be a basis for diagnostic procedures [6].…”

Section: Experimental Data On the Influence Of The Physiological Statmentioning

confidence: 99%

Photon Emission from Perturbed and Dying Organisms: Biomedical Perspectives

Sławiński¹

2005

Complement Med Res

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Living systems spontaneously emit ultraweak light (ultraweak photon emission, UPE) during the process of metabolic reactions associated with the normal physiological state. Stress factors and pathological states change parameters of that emission, such as intensity, yield, temporal, statistical and spectral characteristics. Thus, properties of UPE are inherently associated with and derived from biochemical and biophysical excitation processes. UPE can be considered as a holistic expression of the perturbation of the physiological state of the bio-system and may carry information on the bioenergetics, kinetics and character of biochemical and physiological processes, functioning of the regulatory feedback systems and the degree of perturbation by internal and external factors. This article presents an overview of the fundamentals of UPE and its relation to physiological processes.

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Photon emission from chemically perturbed yeast cells

Rajfur

1994

J. Biolumin. Chemilumin.

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Photon emission (PE) from yeast cells Saccharomyces cerevisiae strain SP-4 in normal conditions and in conditions perturbed by the addition of formaldehyde was investigated using single-photon counting equipment. PE from yeast cells, growing in a standard nutrient medium (YPG) then centrifuged and resuspended in a phosphate buffer (pH = 6.5), was measured in the presence of oxygen or argon. The solution of formaldehyde (2%) was injected into the sample. The intensity of PE increased and reached a maximum, then slowly decreased to a level which was higher than the PE level without the perturbing factor. The kinetics of PE was found to be strongly dependent upon the presence of oxygen. The model of formation and recombination of free radicals was tested. The results indicate that PE can arise during the recombination reactions of free radicals like R. + R., RO. + RO., RO2. + RO2. which are formed in the enzymatic oxidative reactions.

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Perturbed Living Organisms: A Cybernetic Approach Founded on Photon Emission Stochastic Processes

Cited by 14 publications

References 4 publications

Perturbed living organisms: a cybernetic approach to oscillatory luminescence

Perturbed living organisms: a cybernetic approach to oscillatory luminescence

Photon Emission from Perturbed and Dying Organisms: Biomedical Perspectives

Photon emission from chemically perturbed yeast cells

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