News

Thermodynamics 2.0: New thermodynamic framework for cells

  • Faculté des Sciences, des Technologies et de Médecine (FSTM)
    Université / Administration centrale et Rectorat
    21 octobre 2019
  • Catégorie
    Recherche, Université
  • Thème
    Physique & sciences des matériaux

Physicists at the University of Luxembourg have developed theoretical tools to analyse and optimise chemical engines ranging from simple chemical reaction networks to complex metabolic pathways.

The paper “Thermodynamic efficiency in dissipative chemistry,” collects the result of the research conducted by Prof. Massimiliano Esposito, Dr. Riccardo Rao and PhD student Emanuele Penocchio from the Faculty of Science, Technology and Communication at the University of Luxembourg. It was published in the prestigious journal Nature Communications.

Thermodynamics – the branch of physics dealing with energy conversion and its limitations – originated in an effort to improve the efficiency of mechanical engines, such as steam or combustion engines. In standard theory, thermodynamic laws were never applicable to characterising the performance of small chemical engines, such as living cells.

In mechanical engines, maximum efficiency never coincides with maximum power. A car’s efficiency varies depending on the speed. If driven fast at full horsepower, the efficiency at maximum power is usually very low.

Things can be different in the world of molecules as Prof. Esposito, Dr. Rao and Mr. Penocchio have discovered. The researchers have developed a new method to apply principles of thermodynamics to chemical systems. These findings may prove to be helpful in bioengineering or nanotechnology in the future.

The research has taken a step towards evaluating the thermodynamic cost to build and keep a cell working. For example: How much energy in the food consumed by a cell is wasted and how much is used on the chemical level? The results record conditions in which systems work at maximum efficiency and maximum power simultaneously.

“We usually assume that nature is very efficient thanks to ages of evolution. By quantifying the efficiencies of various chemical operations in different organisms, we may be able to put those kinds of ideas on more solid ground one day, thus contributing to a better understanding of biological systems. This study provides the basis for future performance studies and optimal design in chemistry. We can now answer questions about the efficiency of any operation done by an open chemical system,” Prof. Esposito states.

To find out more read the freely accessible paper on Nature Communications.

Image: Michela Bernini and Mitch Woodensteel