Evidence map›Paper›PMID 29761237›Full record

ArticlePharmaceutical research2018

Determining the Effect of pH on the Partitioning of Neutral, Cationic and Anionic Chemicals to Artificial Sebum: New Physicochemical Insight and QSPR Model.

Senpei Yang, Lingyi Li, Tao Chen, Lujia Han, Guoping Lian

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 50% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Senpei YangChina Agricultural University, P.O. Box 191, 17 Qing-Hua-Dong-Lu, Beijing, 100083, China.
Lingyi LiChina Agricultural University, P.O. Box 191, 17 Qing-Hua-Dong-Lu, Beijing, 100083, China.
Tao ChenUniversity of Surrey, Guildford, GU27XH, UK.
Lujia HanChina Agricultural University, P.O. Box 191, 17 Qing-Hua-Dong-Lu, Beijing, 100083, China. hanlj@cau.edu.cn.ORCID http://orcid.org/0000-0002-2955-6307
Guoping LianUniversity of Surrey, Guildford, GU27XH, UK. guoping.lian@unilever.com.
China Agricultural University · CNUnilever (United Kingdom) · GBUniversity of Surrey · GB

Funding

Engineering and Physical Sciences Research Council EP/P511067/1Unilever MA201400132
6 · The paper itself

Abstract

purposeSebum is an important shunt pathway for transdermal permeation and targeted delivery, but there have been limited studies on its permeation properties. Here we report a measurement and modelling study of solute partition to artificial sebum.

methodsEquilibrium experiments were carried out for the sebum-water partition coefficients of 23 neutral, cationic and anionic compounds at different pH.

resultsSebum-water partition coefficients not only depend on the hydrophobicity of the chemical but also on pH. As pH increases from 4.2 to 7.4, the partition of cationic chemicals to sebum increased rapidly. This appears to be due to increased electrostatic attraction between the cationic chemical and the fatty acids in sebum. Whereas for anionic chemicals, their sebum partition coefficients are negligibly small, which might result from their electrostatic repulsion to fatty acids. Increase in pH also resulted in a slight decrease of sebum partition of neutral chemicals.

conclusionsBased on the observed pH impact on the sebum-water partition of neutral, cationic and anionic compounds, a new quantitative structure-property relationship (QSPR) model has been proposed. This mathematical model considers the hydrophobic interaction and electrostatic interaction as the main mechanisms for the partition of neutral, cationic and anionic chemicals to sebum.

Indexed as

Chemical PhenomenaQuantitative Structure-Activity RelationshipAnionsCationsHydrogen-Ion ConcentrationSebumAnionsCationsmathematical modelpartition coefficientpHphysicochemicalQSPR

Identifiers

PMID29761237
OpenAlexW2799513479

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.