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    Osmotic Pressure beyond Concentration Restrictions
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    Dipartimento di Meccanica, Politecnico di Torino, C.so Duca degli Abruzzi, 24, 10129 Torino, Italy
    Brown Foundation Institute of Molecular Medicine, Department of Biomedical Engineering, The University of Texas Health Science Center at Houston, Suite 537, 1825 Pressler Street, Houston, Texas 77030, Department of Experimental Therapeutics, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, and Department of Bioengineering, Rice University , Houston, Texas
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    The Journal of Physical Chemistry B

    Cite this: J. Phys. Chem. B 2007, 111, 40, 11770–11775
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    https://doi.org/10.1021/jp075834j
    Published September 19, 2007
    Copyright © 2007 American Chemical Society
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    Abstract

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    Osmosis is a fundamental physical process that involves the transit of solvent molecules across a membrane separating two liquid solutions. Osmosis plays a role in many biological processes such as fluid exchange in animal cells (Cell Biochem. Biophys.2005, 42, 277−345; 1J. Periodontol.2007, 78, 757−763 2) and water transport in plants. It is also involved in many technological applications such as drug delivery systems (Crit. Rev. Ther. Drug.2004, 21, 477−520; 3J. Micro-Electromech. Syst. 2004, 13, 75−82 4) and water purification. Extensive attention has been dedicated in the past to the modeling of osmosis, starting with the classical theories of van't Hoff and Morse. These are predictive, in the sense that they do not involve adjustable parameters; however, they are directly applicable only to limited regimes of dilute solute concentrations. Extensions beyond the domains of validity of these classical theories have required recourse to fitting parameters, transitioning therefore to semiempirical, or nonpredictive models. A novel approach was presented by Granik et al., which is not a priori restricted in concentration domains, presents no adjustable parameters, and is mechanistic, in the sense that it is based on a coupled diffusion model. In this work, we examine the validity of predictive theories of osmosis, by comparison with our new experimental results, and a meta-analysis of literature data.

    Copyright © 2007 American Chemical Society

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    †

     Current address:  Brown Foundation Institute of Molecular Medicine, Department of Nanomedicine, The University of Texas Health Science Center at Houston, 1825 Pressler St., Houston, TX, 77030. E-mail:  [email protected].

    ‡

     E-mail:  [email protected].

    *

     Corresponding author. Tel:  (713)-500-2444. Fax:  (713)-500-2462. E-mail:  [email protected].

    Supporting Information Available

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    Detailed description of the membrane osmometer and results of the experimental test error analysis. This material is available free of charge via the Internet at http://pubs.acs.org.

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    Cited By

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    This article is cited by 27 publications.

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    The Journal of Physical Chemistry B

    Cite this: J. Phys. Chem. B 2007, 111, 40, 11770–11775
    Click to copy citationCitation copied!
    https://doi.org/10.1021/jp075834j
    Published September 19, 2007
    Copyright © 2007 American Chemical Society
    Request reuse permissions

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