Literature DB >> 4009609

Solubility properties in polymers and biological media. 2. The correlation and prediction of the solubilities of nonelectrolytes in biological tissues and fluids.

M H Abraham, M J Kamlet, R W Taft, R M Doherty, P K Weathersby.   

Abstract

Solubilities of a range of nonelectrolyte solutes in biological systems, such as blood, plasma, brain, lung, liver, kidney, muscle tissue, and human fat, are correlated and predicted through an equation that takes the form log Ltissue = c + w log Lwater + o log Loil, where L is the Ostwald solubility coefficient (or gas/liquid partition coefficient). The ratio of the constants o and w gives a measure of the "oiliness" of a given biological tissue or fluid. The strong possibility exists that, for many types of nonelectrolyte solutes, simple measurements of solubilities in water and oil (gas/liquid partition coefficients) will allow accurate predictions of solubilities in the above biological solvents, as well as tissue/blood partition coefficients. The solubility of rare gases and the inorganic gases H2, N2, CO, and O2 may be correlated through the simpler equation log Ltissue = l'RG + d', where l' and d' are constants that characterize the phase, and RG is a known parameter, obtained by normalizing and averaging solubilities over a range of solvent systems, that characterizes the solute. Both of the above equations allow prediction of L in biological solvents to within about 20%, which compares well with the precision of the experimental measurements.

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Year:  1985        PMID: 4009609     DOI: 10.1021/jm00145a004

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  11 in total

1.  Simultaneous magnetic resonance imaging of ventilation distribution and gas uptake in the human lung using hyperpolarized xenon-129.

Authors:  John P Mugler; Talissa A Altes; Iulian C Ruset; Isabel M Dregely; Jaime F Mata; G Wilson Miller; Stephen Ketel; Jeffrey Ketel; F William Hersman; Kai Ruppert
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-22       Impact factor: 11.205

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

3.  Assessment of lung function in asthma and COPD using hyperpolarized 129Xe chemical shift saturation recovery spectroscopy and dissolved-phase MRI.

Authors:  Kun Qing; John P Mugler; Talissa A Altes; Yun Jiang; Jaime F Mata; G Wilson Miller; Iulian C Ruset; F William Hersman; Kai Ruppert
Journal:  NMR Biomed       Date:  2014-08-22       Impact factor: 4.044

4.  Correlation of tissue, blood, and air partition coefficients of volatile organic chemicals.

Authors:  S Paterson; D Mackay
Journal:  Br J Ind Med       Date:  1989-05

5.  A Physiologically Based Pharmacokinetic Model for Naphthalene With Inhalation and Skin Routes of Exposure.

Authors:  Dustin F Kapraun; Paul M Schlosser; Leena A Nylander-French; David Kim; Erin E Yost; Ingrid L Druwe
Journal:  Toxicol Sci       Date:  2020-10-01       Impact factor: 4.849

6.  Using Hyperpolarized Xenon-129 MRI to Quantify Early-Stage Lung Disease in Smokers.

Authors:  Kai Ruppert; Kun Qing; James T Patrie; Talissa A Altes; John P Mugler
Journal:  Acad Radiol       Date:  2018-12-03       Impact factor: 3.173

7.  A preliminary physiologically based pharmacokinetic model for naphthalene and naphthalene oxide in mice and rats.

Authors:  L M Sweeney; M L Shuler; D J Quick; J G Babish
Journal:  Ann Biomed Eng       Date:  1996 Mar-Apr       Impact factor: 3.934

Review 8.  Hyperpolarized 129Xe MRI of the human lung.

Authors:  John P Mugler; Talissa A Altes
Journal:  J Magn Reson Imaging       Date:  2013-02       Impact factor: 4.813

9.  Regional mapping of gas uptake by blood and tissue in the human lung using hyperpolarized xenon-129 MRI.

Authors:  Kun Qing; Kai Ruppert; Yun Jiang; Jaime F Mata; G Wilson Miller; Y Michael Shim; Chengbo Wang; Iulian C Ruset; F William Hersman; Talissa A Altes; John P Mugler
Journal:  J Magn Reson Imaging       Date:  2013-05-16       Impact factor: 4.813

10.  PBTK modeling demonstrates contribution of dermal and inhalation exposure components to end-exhaled breath concentrations of naphthalene.

Authors:  David Kim; Melvin E Andersen; Yi-Chun E Chao; Peter P Egeghy; Stephen M Rappaport; Leena A Nylander-French
Journal:  Environ Health Perspect       Date:  2007-02-14       Impact factor: 9.031

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