The DOI matches its Crossref record.
Hydrogen bonding. 31. Construction of a scale of solute effective or summation hydrogen‐bond basicity
Abstract
The β scale of solute hydrogen‐bond basicity, formulated from 1:1 hydrogen‐bond complexation constants in tetrachloromethane, has been used to set up a scale of effective or summation hydrogen‐bond basicity, appropriate for the situation in which a solute is surrounded by solvent molecules. The method is based on the equation, where SP is, in this work, a set of solute water–solvent partition coefficients in a given system. The explanatory variables are solute parameters as follows: R2 is an excess molar refraction, π is the solute dipolarity/polarizability, Σα and Σβ 2 are the effective solute hydrogen‐bond acidity and basicity and Vx is McGowan's characteristic volume. Various equations are established using β in the equation, and then amended β values are back‐calculated and new Σβ values obtained. It is found that for most solutes, the effective basicity Σβ is invariant over the systems used to within an experimental error of around 0·03 units. About 350 Σβ values obtained from two or more experimental log P values are listed, together with values for homologous series and a number of singly determined values. For some specific solutes, such as sulphoxides, alkylanilines and alkylpyridines, Σβ 2 is not constant, and an additional solute basicity denoted as Σβ is needed in order to deal with partitions from water to solvents that are partially miscible with water, such as isobutanol and octanol. Values of Σβ, and where possible Σβ also, are listed for 80 additional solutes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(00)00129-0 · Cited by 18,139
Determination of sets of solute descriptors from chromatographic measurements
Abraham, M. H., Ibrahim, A., & Zissimos, A. M. (2004) · Journal of Chromatography A · doi:10.1016/j.chroma.2003.12.004 · Cited by 891
Self-citationApplications of Polyparameter Linear Free Energy Relationships in Environmental Chemistry
Endo, S., & Goss, K.-U. (2014) · Environmental Science & Technology · doi:10.1021/es503369t · Cited by 302
Metadata
- Authors
- Abraham, M. H.
- Venue
- Journal of Physical Organic Chemistry
- Publisher
- Wiley
- Published
- 1993-12
- Volume
- 6
- Issue
- 12
- Pages
- 660-684
- ISSN
- 0894-3230 (ISSN-L)
- 1099-1395
- OpenAlex
- W1999000343
- Cited by
- 349
- References
- 0
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.