Frame tension governs the thermal fluctuations of a fluid membrane: new evidence
Source abstract
Abstract
Two different tensions can be defined for a fluid membrane: the internal tension, γ, conjugated to the real membrane area in the Hamiltonian, and the frame tension, τ, conjugated to the projected (or frame) area. According to the standard statistical description of a membrane, the fluctuation spectrum is governed by γ. However, using rotational invariance arguments, several studies argued that the fluctuation spectrum must be governed by the frame tension τ instead. These studies disagree on the origin of the result obtained with the standard description yet: either a miscounting of configurations, quantified with the integration measure, or the use of a quadratic approximation of the Helfrich Hamiltonian. Analyzing the simplest case of a one-dimensional membrane, for which the arc length offers a natural parametrization, we give a new proof that the fluctuations are driven by τ, and show that the origin of the issue with the standard description is a miscounting of membrane configurations. The origin itself of this miscounting depends on the thermodynamic ensemble in which calculations are made.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Lipid Membrane Structure and Behavior · Electrostatics and Colloid Interactions · Advanced Thermodynamics and Statistical Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Université Paris Cité, CNRS, UMR 7057, Matière et Systèmes Complexes (MSC), F-75006 Paris, France
References (30)
Show source-provided references
1. Helfrich · Z. Naturforsch., C: J. Biosci. · 1973 · 28 · 69310.1515/znc-1973-11-1209 ↗
2. S.Safran , Statistical Thermodynamics Of Surfaces, Interfaces, And Membranes , CRC Press , 201810.1201/9780429497131 ↗
3. Cai · J. Phys. II · 1994 · 4 · 931
4. Farago · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2011 · 84 · 05191410.1103/PhysRevE.84.051914 ↗
5. Seifert · Z. Naturforsch., B: Condens. Matter · 1995 · 97 · 299
6. Schmid · EPL · 2011 · 95 · 2800810.1209/0295-5075/95/28008 ↗
7. Borelli · Phys. Lett. A · 1999 · 253 · 23910.1016/S0375-9601(99)00035-3 ↗
8. Farago · J. Chem. Phys. · 2004 · 120 · 293410.1063/1.1639000 ↗
9. Lindahl · J. Chem. Phys. · 2000 · 113 · 388210.1063/1.1287423 ↗
10. Marrink · J. Phys. Chem. B · 2001 · 105 · 612210.1021/jp0103474 ↗
11. Cooke · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2005 · 72 · 01150610.1103/PhysRevE.72.011506 ↗
12. Wang · J. Chem. Phys. · 2005 · 122 · 23471110.1063/1.1927509 ↗
13. Stecki · J. Chem. Phys. · 2006 · 125 · 15490210.1063/1.2357943 ↗
14. Imparato · J. Chem. Phys. · 2006 · 124 · 15471410.1063/1.2189847 ↗
15. Fournier · Phys. Rev. Lett. · 2008 · 100 · 07810310.1103/PhysRevLett.100.078103 ↗
16. H.Turlier and T.Betz , Physics of Biological Membranes , Springer , 2018 , pp. 581–61910.1007/978-3-030-00630-3_21 ↗
17. Shiba · Soft Matter · 2016 · 12 · 237310.1039/C5SM01900A ↗
18. Gueguen · Soft Matter · 2017 · 13 · 610010.1039/C7SM01272A ↗
19. Evans · Phys. Rev. Lett. · 1990 · 64 · 209410.1103/PhysRevLett.64.2094 ↗
20. Pécréaux · Eur. Phys. J. E: Soft Matter Biol. Phys. · 2004 · 13 · 27710.1140/epje/i2004-10001-9 ↗
21. Betz · Soft Matter · 2012 · 8 · 531710.1039/C2SM00001F ↗
22. Neder · J. Chem. Phys. · 2010 · 132 · 11510110.1063/1.3352583 ↗
23. Schmid · Biophys. Rev. Lett. · 2013 · 08 · 110.1142/S1793048012300113 ↗
24. Chacón · J. Chem. Phys. · 2015 · 143 · 03470610.1063/1.4926938 ↗
25. Terzi · Soft Matter · 2019 · 15 · 908510.1039/C9SM01290G ↗
26. Farago · Eur. Phys. J. E: Soft Matter Biol. Phys. · 2003 · 11 · 39910.1140/epje/i2003-10049-y ↗
27. Meunier · J. de Physique · 1987 · 48 · 181910.1051/jphys:0198700480100181900 ↗
28. Morse · EPL · 1994 · 26 · 56510.1209/0295-5075/26/8/002 ↗
29. David · J. Phys. II · 1991 · 1 · 959
30. Durand · Am. J. Phys. · 2021 · 89 · 26110.1119/10.0002411 ↗