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Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants
The molecular connectivity indices were used to derive the simple model relating the critical micelle concentration of cationic (chloride) gemini surfactants to their structure. One index was selected as the best to describe the effect of the structure of investigated compounds on critical micelle c...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209406/ https://www.ncbi.nlm.nih.gov/pubmed/28111493 http://dx.doi.org/10.1007/s00396-016-3979-3 |
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author | Mozrzymas, Anna |
author_facet | Mozrzymas, Anna |
author_sort | Mozrzymas, Anna |
collection | PubMed |
description | The molecular connectivity indices were used to derive the simple model relating the critical micelle concentration of cationic (chloride) gemini surfactants to their structure. One index was selected as the best to describe the effect of the structure of investigated compounds on critical micelle concentration consistent with the experimental results. This index encodes the information about molecular size, the branches, and also the information about heteroatoms. The selected model can be helpful in designing novel chloride gemini surfactants. |
format | Online Article Text |
id | pubmed-5209406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-52094062017-01-18 Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants Mozrzymas, Anna Colloid Polym Sci Original Contribution The molecular connectivity indices were used to derive the simple model relating the critical micelle concentration of cationic (chloride) gemini surfactants to their structure. One index was selected as the best to describe the effect of the structure of investigated compounds on critical micelle concentration consistent with the experimental results. This index encodes the information about molecular size, the branches, and also the information about heteroatoms. The selected model can be helpful in designing novel chloride gemini surfactants. Springer Berlin Heidelberg 2016-11-17 2017 /pmc/articles/PMC5209406/ /pubmed/28111493 http://dx.doi.org/10.1007/s00396-016-3979-3 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Contribution Mozrzymas, Anna Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants |
title | Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants |
title_full | Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants |
title_fullStr | Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants |
title_full_unstemmed | Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants |
title_short | Molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) Gemini surfactants |
title_sort | molecular connectivity indices for modeling the critical micelle concentration of cationic (chloride) gemini surfactants |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209406/ https://www.ncbi.nlm.nih.gov/pubmed/28111493 http://dx.doi.org/10.1007/s00396-016-3979-3 |
work_keys_str_mv | AT mozrzymasanna molecularconnectivityindicesformodelingthecriticalmicelleconcentrationofcationicchloridegeminisurfactants |