@inproceedings{scholars14730,
            note = {cited By 0; Conference of 2021 International Conference on Process Engineering and Advanced Materials, ICPEAM2020 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:185461},
          volume = {287},
            year = {2021},
             doi = {10.1051/e3sconf/202128703007},
         journal = {E3S Web of Conferences},
       publisher = {EDP Sciences},
           title = {Conceptual Framework for the Conservation of Natural Environment from Toxic Ionic Liquids by QSAR Model},
        abstract = {The natural environment has been affected by human activities to fulfil daily life needs. Abundance and hazardousness of the chemicals including ionic liquids is one of the most challenging aspect to be handled by human as well as for the natural environment. Due to ionic structure, ionic liquids are very good choice for a variety of applications. The natural environment might be affected by the ionic liquids which can be toxic. Therefore, there is a need to address this problem by studying the ecotoxicological behaviour of these ionic liquids. The main objective of current research is to model the toxicity ecotoxicological behaviour is studied by quantitative structure activity relationship (QSAR). QSARs predicts the toxicity of ionic liquids. In current research a relationship between polarizability and toxicity for imidazolium ionic liquids with different alky chain length having NTF2 anion has been modelled. The success of current research will be very helpful to protect the nature by minimizing the killing of testing animals as well as ensuring the safety of biotic components of the ecosystem. {\^A}{\copyright} The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145470320&doi=10.1051\%2fe3sconf\%2f202128703007&partnerID=40&md5=d4ee4c16725a67a33aa1e0075e615fd3},
            issn = {25550403},
          author = {Khan, M. I. and Zaini, D. and Shariff, A. M.}
}