The DOI matches its Crossref record.
Hydrophobicity of Long Chain n -Alkyl Carboxylic Acids, as Measured by Their Distribution Between Heptane and Aqueous Solutions
Open accessAbstract
Previous data for the distribution of the n -alkyl carboxylic acids between aqueous buffers and heptane have suggested that the free energy of transfer between the two solvents does not increase with the length of the alkyl chain beyond palmitic acid, indicating a limit to the hydrophobicity of the alkyl chain at a length of about 15 carbon atoms. It is shown in this paper that previous measurements were influenced by unexpectedly strong pH-dependent association of the long-chain acids in the aqueous phase. Under conditions where such association becomes negligible, the free energy of transfer becomes a strictly linear function of alkyl chain length for all acids up to behenic acid (C 21 H 43 COOH).
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
g_mmpbsa—A GROMACS Tool for High-Throughput MM-PBSA Calculations
Kumari, R., Kumar, R., Open Source Drug Discovery Consortium, & Lynn, A. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500020m · Cited by 4,882
The Hydrophobic Effect and the Organization of Living Matter
Tanford, C. (1978) · Science · doi:10.1126/science.653353 · Cited by 985
Self-citationFlorindo, C., Oliveira, F. S., Rebelo, L. P. N., Fernandes, A. M., & Marrucho, I. M. (2014) · ACS Sustainable Chemistry & Engineering · doi:10.1021/sc500439w · Cited by 977
Experimental Models of Primitive Cellular Compartments: Encapsulation, Growth, and Division
Hanczyc, M. M., Fujikawa, S. M., & Szostak, J. W. (2003) · Science · doi:10.1126/science.1089904 · Cited by 848
Park, M., Wu, S., Lopez, I. J., Chang, J. Y., Karanfil, T., & Snyder, S. A. (2020) · Water Research · doi:10.1016/j.watres.2019.115364 · Cited by 549
Metadata
- Authors
- Smith, R., & Tanford, C.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1973-02
- Volume
- 70
- Issue
- 2
- Pages
- 289-293
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2078637473
- Cited by
- 163
- References
- 0
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hydrophobicity of Long Chain n -Alkyl Carboxylic Acids, as Measured by Their Distribution Between Heptane and Aqueous Solutions. https://app.cochat.ai/papers/10.1073/pnas.70.2.289
- The paper
- Smith, R., & Tanford, C. (1973). Hydrophobicity of Long Chain n -Alkyl Carboxylic Acids, as Measured by Their Distribution Between Heptane and Aqueous Solutions. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.70.2.289
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.
