Abstract
As the use of engineered nanoparticles (ENMs) in the manufacturing environment and consumer products increases, the concern over human exposure to ENMs is also increased. Due to varying physical and chemical characteristics of ENMs, the level of toxicity varies based on the shape, size, solubility, surface area, and surface charges of the ENM that is synthesized. However, with the lack of reference materials and inconsistent protocols, the validation of novel methods in order to determine toxicity has been deemed challenging; thus, there is an inability for an accurate assessment based on the human health risk assessment (HHRA) of environmental chemicals when exposure has occurred [1]. Also, current methods for chemical risk assessments are not without additional limitations as their high costs and the reliance on observing the effects of toxicity in animals lead to very few assessments done on chemicals that are in use in manufacturing [2]. With the use of toxicogenomics, there is the ability to determine the level of toxicity that is associated with certain properties of ENMs as well as assist in the identification of potential health hazards [2, 3]. DNA microarray, large-scale real-time quantitative polymerase chain reaction, and RNA sequencing are among the most commonly used technology within toxicogenomics [2].
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Salhab, R., Pathak, Y. (2018). Recent Trends in -Omics-Based Methods and Techniques for Lung Disease Prevention. In: Pathak, Y. (eds) Genomics-Driven Healthcare. Adis, Singapore. https://doi.org/10.1007/978-981-10-7506-3_16
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DOI: https://doi.org/10.1007/978-981-10-7506-3_16
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