Nida Tabassum Khan1* and Samiullah Khan2
1Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Takatu Campus, Quetta, Balochistan
2Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Takatu Campus, Quetta, Balochistan
*Corresponding Author: Nida Tabassum Khan, Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Takatu Campus, Quetta, Balochistan.
Received: October 24, 2020; Published: November 30, 2020
During this era, applications of nanoparticle has exponentially elevated such as being employed in textiles, pharmaceuticals, cosmetics and medicine. Due to their exclusive properties, nanomaterials are now being considered as an empowering domain that serves as the basis for the development of novel nano-based products in the scientific arena and worth millions in the commercial market. However, this perpetual usage of nanoparticles has intensified numerous environmental and health risks. And therefore, requires attentive evaluation in order to analyze their associated toxicological effects. Thus, investigation of their associated toxicity is a requirement. However, the cumulative diversity of nanomaterials requires to exam a diverse group of nano entities for toxicity prediction subsequently making it a challenging task to gather information regarding their potential exposure and probable risk. Previously employed invitro toxicity testing systems were constrained by principled considerations, time and financial accountabilities Therefore, an alternative unconventional computational approach is needed for the evaluation of nanoparticle associated risk. Such computational approaches for risk assessment are characterized as in silico methods that are cost effective and far less time consuming than customary testing systems and serves to develop a sound infrastructure for nanotoxicology studies.
Keywords: Bioactivity; Hazard assessment; In silico; Nanoinformatics; Physiochemical; Surface Functionality
Citation: Nida Tabassum Khan and Samiullah Khan. “Nanotoxicology - An Emerging Discipline Evolving from Nanoparticle Risk Assessment".Acta Scientific Microbiology 3.12 (2020): 124-127.
Copyright: © 2020 Nida Tabassum Khan and Samiullah Khan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.