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Danail Hristozov  - - - 
Top co-authors See all
Ulla Vogel

872 shared publications

National Research Centre for the Working Environment, Denmark

Håkan Wallin

607 shared publications

National Research Centre for the Working Environment, 2100 Copenhagen, Denmark

Catherine J. Murphy

298 shared publications

Department of Chemistry, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States

Willie J. G. M. Peijnenburg

259 shared publications

Institute of Environmental Sciences (CML), Leiden University, P.O. Box 9518, 2300 RA Leiden, The Netherlands

Paul Westerhoff

257 shared publications

NSF Nanosystems Engineering Research Center on Nanotechnology-Enabled Water Treatment, School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, Arizona 85287-3005, United States

33
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Publication Record
Distribution of Articles published per year 
(2009 - 2018)
Total number of journals
published in
 
17
 
Publications See all
Article 0 Reads 4 Citations Risk associated with engineered nanomaterials: Different tools for different ways to govern Benjamin D. Trump, Danail Hristozov, Timothy Malloy, Igor Li... Published: 01 August 2018
Nano Today, doi: 10.1016/j.nantod.2018.03.002
DOI See at publisher website
Article 0 Reads 0 Citations An introduction to Environment Systems and Decisions’ Special Issue on Emerging Technologies Benjamin D. Trump, Danail Hristozov, Igor Linkov Published: 15 May 2018
Environment Systems and Decisions, doi: 10.1007/s10669-018-9689-2
DOI See at publisher website
Article 7 Reads 6 Citations Environmental Risk Assessment Strategy for Nanomaterials Janeck J. Scott‐Fordsmand, Willie J. G. M. Peijnenburg, Elen... Published: 19 October 2017
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph14101251
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
An Environmental Risk Assessment (ERA) for nanomaterials (NMs) is outlined in this paper. Contrary to other recent papers on the subject, the main data requirements, models and advancement within each of the four risk assessment domains are described, i.e., in the: (i) materials, (ii) release, fate and exposure, (iii) hazard and (iv) risk characterisation domains. The material, which is obviously the foundation for any risk assessment, should be described according to the legislatively required characterisation data. Characterisation data will also be used at various levels within the ERA, e.g., exposure modelling. The release, fate and exposure data and models cover the input for environmental distribution models in order to identify the potential (PES) and relevant exposure scenarios (RES) and, subsequently, the possible release routes, both with regard to which compartment(s) NMs are distributed in line with the factors determining the fate within environmental compartment. The initial outcome in the risk characterisation will be a generic Predicted Environmental Concentration (PEC), but a refined PEC can be obtained by applying specific exposure models for relevant media. The hazard information covers a variety of representative, relevant and reliable organisms and/or functions, relevant for the RES and enabling a hazard characterisation. The initial outcome will be hazard characterisation in test systems allowing estimating a Predicted No-Effect concentration (PNEC), either based on uncertainty factors or on a NM adapted version of the Species Sensitivity Distributions approach. The risk characterisation will either be based on a deterministic risk ratio approach (i.e., PEC/PNEC) or an overlay of probability distributions, i.e., exposure and hazard distributions, using the nano relevant models.
Article 0 Reads 19 Citations Frameworks and tools for risk assessment of manufactured nanomaterials Danail Hristozov, Stefania Gottardo, Elena Semenzin, Agnes O... Published: 01 October 2016
Environment International, doi: 10.1016/j.envint.2016.07.016
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 14 Citations Predicting Toxic Potencies of Metal Oxide Nanoparticles by Means of Nano-QSARs Yunsong Mu, Fengchang Wu, Qing Zhao, Rong Ji, Yu Qie, Yue Zh... Published: 11 July 2016
Nanotoxicology, doi: 10.1080/17435390.2016.1202352
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 2 Citations Demonstration of a Modelling-based Multi-criteria Decision Analysis Procedure for Prioritization of Occupational Risks f... Danail Hristozov, Alex Zabeo, Keld Alstrup Jensen, Stefania ... Published: 29 June 2016
Nanotoxicology, doi: 10.3109/17435390.2016.1144827
DOI See at publisher website PubMed View at PubMed
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