Effect of imidazolium-based ionic liquids on bacterial growth inhibition investigated via experimental and QSAR modelling studies

[Display omitted] •Different sets of imidazolium based ILs were synthesised.•EC50 values were reported against four human pathogens bacteria.•σ-profiles have been successfully used as molecular descriptor.•Reliable and high accurate MLR models were developed for toxicity prediction. Tuning the chara...

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Veröffentlicht in:Journal of hazardous materials 2015-10, Vol.297, p.198-206
Hauptverfasser: Ghanem, Ouahid Ben, Mutalib, M.I.Abdul, El-Harbawi, Mohanad, Gonfa, Girma, Kait, Chong Fai, Alitheen, Noorjahan Banu Mohamed, Leveque, Jean-Marc
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Sprache:eng
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Zusammenfassung:[Display omitted] •Different sets of imidazolium based ILs were synthesised.•EC50 values were reported against four human pathogens bacteria.•σ-profiles have been successfully used as molecular descriptor.•Reliable and high accurate MLR models were developed for toxicity prediction. Tuning the characteristics of solvents to fit industrial requirements has currently become a major interest in both academic and industrial communities, notably in the field of room temperature ionic liquids (RTILs), which are considered one of the most promising green alternatives to molecular organic solvents. In this work, several sets of imidazolium-based ionic liquids were synthesized, and their toxicities were assessed towards four human pathogens bacteria to investigate how tunability can affect this characteristic. Additionally, the toxicity of particular RTILs bearing an amino acid anion was introduced in this work. EC50 values (50% effective concentration) were established, and significant variations were observed; although all studied ILs displayed an imidazolium moiety, the toxicity values were found to vary between 0.05mM for the most toxic to 85.57mM for the least toxic. Linear quantitative structure activity relationship models were then developed using the charge density distribution (σ-profiles) as molecular descriptors, which can yield accuracies as high as 95%.
ISSN:0304-3894
1873-3336
DOI:10.1016/j.jhazmat.2015.04.082