Time-resolved luminescence of perturbed biosystems: Stochastic models and perturbation measures

Kochel, Bonawentura

doi:10.1007/bf01947993

Cited by 9 publications

(12 citation statements)

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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 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%

Section: Introductionmentioning

confidence: 99%

“…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].…”

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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%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Perturbed living organisms: a cybernetic approach to oscillatory luminescence

Kochel

1995

Kybernetes

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“…Changes in the phagocytic activity were determined from photon-counting time series using the classical perturbation coefficient CPC (Kochel, 1992), where I p and I n represent an integrated luminescence intensity (I) for peptidetreated or native neutrophils, respectively. I = ∑ N t=1 ρ(t)∆t c , where ∆t c is a counting time, N is the number of data points in the photon-counting time series, ρ(t) is the number of photoelectrons recorded in ∆t c .…”

Section: Modulation Of Phagocytosis: An Autocatalytic Processmentioning

confidence: 99%

Control of the first‐line human defence system An autocatalytic model

Kochel¹

1999

Kybernetes

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Abstract A control of the first-line human defence system, using mechanisms analogous to specific and non-specific (parametric) triggering of phagocytosis, is proposed on the basis of an autocatalytic model of biphasic modulation of phagocyte luminescence by experimental peptide medicines. Properties of the autocatalytic model are described and its catastrophe and bifurcation sets determined. The mechanism analogous to parametric triggering is shown to result from a fold catastrophe produced by the changes in the autocatalytic interaction parameter characterising a given peptide preparation. Usefulness of the model was shown by its application to two distinct peptide preparations having different immunomodulatory properties.

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