María P. Elizalde-González, María R.G. Guevara-Villa, Emanuel Martínez-Peña, Alberto Quecholac-Rosales, Erick Ramírez
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引用次数: 0
Abstract
Imidazole derivatives are a wide group of organic compounds with applications in chemistry, medicine, biology, and material science. The physicochemical properties of these compounds have been reported in databases and literature; however, data of the important hydrophobicity descriptor log P are limited. The water solubility of imidazoles used as ligands is critical in the design of materials for ambient and electronic applications. In this study, the related descriptor log kw,exper was obtained from reverse-phase high performance liquid chromatography (RP-HPLC) for a variety of alkyl and phenyl imidazoles and is supplied with the data article. Comparison with the calculated values of log Ppred and log kw,pred from different sources is presented. Experimental values present a good linear relationship with log Ppred, and differences between isomers are clear in cases where software yields the same value.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.