Back

The Physical Basis of Osmosis in a Donnan Ionic System

Manning, G. S.

2024-07-23 biophysics
10.1101/2024.07.22.604593 bioRxiv
Show abstract

Impermeant molecules inside a cell would lead to an inward osmotic flow of water, causing swelling, were it not for the pumping of permeant sodium ions out of the cell as soon as they leak in. The energy barrier model for a semipermeable membrane, first introduced by Debye to provide a molecular-level explanation of the vant Hoff equation for osmotic pressure, can be used to advantage in this situation, since the pump can be conceptualized as increasing the energy barrier for the sodium ion. The Debye model has previously been extended to include osmosis induced by electrostatically neutral solutes. Discussion of the effect of ion pumping on water transport requires an understanding of osmosis in systems containing permeant ions, that is, Donnan systems. We have obtained an equation for Donnan osmosis across a Debye energy barrier that separates an aqueous solution of permeant sodium, potassium, and chloride ions from a solution containing these permeant ions and additionally an impermeant anion, the latter representing intra-cellular impermeant charged species. Donnan osmosis occurs even if osmolarities on the two sides of the membrane are equal. Numerical representation shows that the Donnan-Debye model provides a quantitative theoretical framework for the action of the sodium/potassium/ATPase ion pump as effectively rendering the extracellular sodium ions impermeant, thus balancing the impermeant molecules inside the cell. Another application of Donnan osmosis shows that ion charge effects, missing from lists of Starling forces, are nonetheless expected to be a major contributor to transport across capillary walls. SummaryOsmosis as driven by Starling forces is applicable only if the solute is electrostatically neutral. For ions, Donnan charge effects dominate. An equation for Donnan osmosis is presented and applied to ion pumps and to transport across capillary walls.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 14%
14.2%
2
Biophysical Journal
545 papers in training set
Top 0.6%
9.1%
3
Physical Biology
43 papers in training set
Top 0.1%
8.3%
4
European Biophysics Journal
11 papers in training set
Top 0.1%
7.1%
5
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.1%
4.8%
6
PLOS Computational Biology
1633 papers in training set
Top 7%
4.8%
7
Scientific Reports
3102 papers in training set
Top 38%
3.6%
50% of probability mass above
8
Mathematical Biosciences
42 papers in training set
Top 0.3%
3.6%
9
International Journal for Numerical Methods in Biomedical Engineering
12 papers in training set
Top 0.1%
3.6%
10
Annals of Biomedical Engineering
34 papers in training set
Top 0.4%
2.7%
11
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.6%
12
Bulletin of Mathematical Biology
84 papers in training set
Top 0.8%
2.3%
13
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.4%
1.7%
14
The European Physical Journal E
15 papers in training set
Top 0.1%
1.7%
15
Journal of Biomechanics
57 papers in training set
Top 0.4%
1.7%
16
The European Physical Journal Plus
13 papers in training set
Top 0.5%
1.5%
17
Physics of Fluids
13 papers in training set
Top 0.2%
1.3%
18
F1000Research
79 papers in training set
Top 2%
1.3%
19
Interface Focus
14 papers in training set
Top 0.1%
1.2%
20
Frontiers in Physiology
93 papers in training set
Top 4%
1.2%
21
Plant Physiology
217 papers in training set
Top 2%
0.9%
22
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 7%
0.9%
23
Journal of Theoretical Biology
144 papers in training set
Top 1%
0.9%
24
Frontiers in Molecular Biosciences
100 papers in training set
Top 4%
0.8%
25
Journal of Computational Neuroscience
23 papers in training set
Top 0.4%
0.8%
26
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 43%
0.8%
27
RSC Advances
18 papers in training set
Top 1%
0.7%