Study of the antimicrobial activity of cyclic cation-based ionic liquids via experimental and group contribution QSAR model

• Main Authors: Ghanem, O.B., Shah, S.N., Lévêque, J.-M., Mutalib, M.I.A., El-Harbawi, M., Khan, A.S., Alnarabiji, M.S., Al-Absi, H.R.H., Ullah, Z.
• Format: Article
• Published: Elsevier Ltd 2018
• Online Access: http://scholars.utp.edu.my/id/eprint/21751/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038007113&doi=10.1016%2fj.chemosphere.2017.12.018&partnerID=40&md5=e033dd4b48910b350ebaa5545fa2b4db

Over the past decades, Ionic liquids (ILs) have gained considerable attention from the scientific community in reason of their versatility and performance in many fields. However, they nowadays remain mainly for laboratory scale use. The main barrier hampering their use in a larger scale is their questionable ecological toxicity. This study investigated the effect of hydrophobic and hydrophilic cyclic cation-based ILs against four pathogenic bacteria that infect humans. For that, cations, either of aromatic character (imidazolium or pyridinium) or of non-aromatic nature, (pyrrolidinium or piperidinium), were selected with different alkyl chain lengths and combined with both hydrophilic and hydrophobic anionic moieties. The results clearly demonstrated that introducing of hydrophobic anion namely bis((trifluoromethyl)sulfonyl)amide, NTF2 and the elongation of the cations substitutions dramatically affect ILs toxicity behaviour. The established toxicity data 50% effective concentration (EC50) along with similar endpoint collected from previous work against Aeromonas hydrophila were combined to developed quantitative structure-activity relationship (QSAR) model for toxicity prediction. The model was developed and validated in the light of Organization for Economic Co-operation and Development (OECD) guidelines strategy, producing good correlation coefficient R2 of 0.904 and small mean square error (MSE) of 0.095. The reliability of the QSAR model was further determined using k-fold cross validation. © 2017 Elsevier Ltd