Literature DB >> 16584157

Solubility prediction in octanol: a technical note.

Kia Sepassi1, Samuel H Yalkowsky.   

Abstract

The purpose of this work was to derive an equation for the rapid estimation of octanol solubilities of organic compounds. Solubilities ranging over 4 orders of magnitude were predicted with an average absolute error of 0.39 logarithmic units using melting point alone. The greatest error in prediction occurred for strongly bonded compounds.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16584157      PMCID: PMC2750733          DOI: 10.1208/pt070126

Source DB:  PubMed          Journal:  AAPS PharmSciTech        ISSN: 1530-9932            Impact factor:   3.246


  4 in total

1.  Correlating the physical-chemical properties of phthalate esters using the 'three solubility' approach.

Authors:  I Cousins; D Mackay
Journal:  Chemosphere       Date:  2000-11       Impact factor: 7.086

2.  The solubility of gases and vapours in dry octan-1-ol at 298 K.

Authors:  M H Abraham; J Le; W E Acree; P W Carr; A J Dallas
Journal:  Chemosphere       Date:  2001-08       Impact factor: 7.086

3.  Relationships between octanol-water partition coefficient and aqueous solubility.

Authors:  M M Miller; S P Wasik; G L Huang; W Y Shiu; D Mackay
Journal:  Environ Sci Technol       Date:  1985-06-01       Impact factor: 9.028

4.  Solubility and partitioning VI: octanol solubility and octanol-water partition coefficients.

Authors:  S H Yalkowsky; S C Valvani; T J Roseman
Journal:  J Pharm Sci       Date:  1983-08       Impact factor: 3.534

  4 in total
  4 in total

1.  Self-aligning amelogenin nanoribbons in oil-water system.

Authors:  Xiaodong He; Shenping Wu; Olga Martinez-Avila; Yifan Cheng; Stefan Habelitz
Journal:  J Struct Biol       Date:  2010-12-04       Impact factor: 2.867

2.  A smart interface for reliable intradermal injection and infusion of high and low viscosity solutions.

Authors:  Michael Vosseler; Michael Jugl; Roland Zengerle
Journal:  Pharm Res       Date:  2010-11-23       Impact factor: 4.200

3.  Prediction of 1-octanol solubilities using data from the Open Notebook Science Challenge.

Authors:  Michael A Buonaiuto; Andrew S I D Lang
Journal:  Chem Cent J       Date:  2015-09-24       Impact factor: 4.215

4.  Descriptors for the Prediction of Partition Coefficients and Solubilities of Organophosphorus Compounds.

Authors:  Michael H Abraham; William E Acree
Journal:  Sep Sci Technol       Date:  2013-03-14       Impact factor: 2.475

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.