Extension of human health risk assessment procedure to nanomaterial contaminations in aquifer systems

The large use of nanomaterials in several industrial processes drove the attention toward the potential health issues associated to their diffusion in the environment. However, since nanomaterials are characterized by a polidisperse particle size distribution, the human health risk induced by a nanoparticle (NP) contamination cannot be assessed through the ASTM procedure commonly used for chemicals. Toxicity and environmental mobility of NP are in fact typically strongly influenced by their size. In this study, a general approach to adapt the ASTM procedure to NP contaminated aquifers is proposed. The analytical solutions used for Tier 2 risk analysis of dissolved compounds have been adapted and extended to account for NP transport mechanisms. Two applications of the proposed procedure, one theoretical and one based on experimental-modelling results, are presented, highlighting the role of particle size heterogeneity on the assessment of human health risk.

The large use of nanomaterials in several industrial processes drove the attention toward the potential health issues associated to their diffusion in the environment. However, since nanomaterials are characterized by a polidisperse particle size distribution, the human health risk induced by a nanoparticle (NP) contamination cannot be assessed through the ASTM procedure commonly used for chemicals. Toxicity and environmental mobility of NP are in fact typically strongly influenced by their size. In this study, a general approach to adapt the ASTM procedure to NP contaminated aquifers is proposed. The analytical solutions used for Tier 2 risk analysis of dissolved compounds have been adapted and extended to account for NP transport mechanisms. Two applications of the proposed procedure, one theoretical and one based on experimental-modelling results, are presented, highlighting the role of particle size heterogeneity on the assessment of human health risk.


ISSN 1121-9041

CiteScore:
2020: 3.8
CiteScore measures the average citations received per peer-reviewed document published in this title.
CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 —19).
Source Normalized Impact per Paper (SNIP):
2019: 1.307
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR)
2019: o.657
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal's impact.
Journal Metrics: CiteScore: 1.0 , Source Normalized Impact per Paper (SNIP): 0.381 SCImago Journal Rank (SJR): 0.163

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