Volume 101, Number 5, March 2013
|Number of page(s)||5|
|Section||Condensed Matter: Structural, Mechanical and Thermal Properties|
|Published online||14 March 2013|
Entropy generation in biophysical systems
1 Dipartimento Energia, Politecnico di Torino - Corso Duca degli Abruzzi 24, 10129 Torino, Italy, EU
2 ENEA Italian National Agency for New Technologies, Energy and Sustainable Economic Development 4, via Martiri di Montesole, 40128 Bologna, Italy, EU
3 University of Bologna, Ravenna site - 5, via Mariani, 48100 Ravenna, Italy, EU
Received: 7 November 2012
Accepted: 7 February 2013
Recently, in theoretical biology and in biophysical engineering the entropy production has been verified to approach asymptotically its maximum rate, by using the probability of individual elementary modes distributed in accordance with the Boltzmann distribution. The basis of this approach is the hypothesis that the entropy production rate is maximum at the stationary state. In the present work, this hypothesis is explained and motivated, starting from the entropy generation analysis. This latter quantity is obtained from the entropy balance for open systems considering the lifetime of the natural real process. The Lagrangian formalism is introduced in order to develop an analytical approach to the thermodynamic analysis of the open irreversible systems. The stationary conditions of the open systems are thus obtained in relation to the entropy generation and the least action principle. Consequently, the considered hypothesis is analytically proved and it represents an original basic approach in theoretical and mathematical biology and also in biophysical engineering. It is worth remarking that the present results show that entropy generation not only increases but increases as fast as possible.
PACS: 65.40.gd – Entropy / 87.10.Ca – Analytical theories / 87.19.Pp – Biothermics and thermal processes in biology
© EPLA, 2013
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.