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Elena Semenzin   Dr.  University Lecturer 
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Elena Semenzin published an article in October 2017.
Top co-authors See all
Willie J. G. M. Peijnenburg

257 shared publications

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

Bernd Nowack

193 shared publications

Empa - Swiss Federal Laboratories for Material Science and Technology, Technology and Society Laboratory, St. Gallen, Switzerland

V. Stone

162 shared publications

Institute of Biological Chemistry, Biophysics and Bioengineering School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK

Robert Landsiedel

159 shared publications

BASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany

Wendel Wohlleben

119 shared publications

BASF SE

11
Publications
20
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0
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59
Citations
Publication Record
Distribution of Articles published per year 
(2007 - 2017)
Total number of journals
published in
 
7
 
Publications See all
Article 6 Reads 5 Citations Environmental Risk Assessment Strategy for Nanomaterials Janeck J. Scottā€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 18 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 9 Citations The MARINA Risk Assessment Strategy: A Flexible Strategy for Efficient Information Collection and Risk Assessment of Nan... Peter M. J. Bos, Stefania Gottardo, Janeck J. Scott-Fordsman... Published: 27 November 2015
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph121214961
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
An engineered nanomaterial (ENM) may actually consist of a population of primary particles, aggregates and agglomerates of various sizes. Furthermore, their physico-chemical characteristics may change during the various life-cycle stages. It will probably not be feasible to test all varieties of all ENMs for possible health and environmental risks. There is therefore a need to further develop the approaches for risk assessment of ENMs. Within the EU FP7 project Managing Risks of Nanoparticles (MARINA) a two-phase risk assessment strategy has been developed. In Phase 1 (Problem framing) a base set of information is considered, relevant exposure scenarios (RESs) are identified and the scope for Phase 2 (Risk assessment) is established. The relevance of an RES is indicated by information on exposure, fate/kinetics and/or hazard; these three domains are included as separate pillars that contain specific tools. Phase 2 consists of an iterative process of risk characterization, identification of data needs and integrated collection and evaluation of data on the three domains, until sufficient information is obtained to conclude on possible risks in a RES. Only data are generated that are considered to be needed for the purpose of risk assessment. A fourth pillar, risk characterization, is defined and it contains risk assessment tools. This strategy describes a flexible and efficient approach for data collection and risk assessment which is essential to ensure safety of ENMs. Further developments are needed to provide guidance and make the MARINA Risk Assessment Strategy operational. Case studies will be needed to refine the strategy.
Article 0 Reads 5 Citations Ecological status classification of the Taizi River Basin, China: a comparison of integrated risk assessment approaches Juntao Fan, Elena Semenzin, Wei Meng, Elisa Giubilato, Yuan ... Published: 20 May 2015
Environmental Science and Pollution Research, doi: 10.1007/s11356-015-4629-x
DOI See at publisher website PubMed View at PubMed
CONFERENCE-ARTICLE 8 Reads 0 Citations SUN: Paving Sustainable Nanoinnovation Danail Hristozov, Keld Alstrup Jensen, Vicki Stone, Janeck S... Published: 31 October 2014
The 4th World Sustainability Forum, doi: 10.3390/wsf-4-d003
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Our understanding of the environmental and health risks from nanotechnologies is still limited, which may result in stagnation of nanoinnovation. This emphasizes the need for an integrative assessment and adaptive management of the long-term risks from manufactured nanomaterials (MN) along the entire supply chains of nano-enabled products towards developing more sustainable nanotechnologies. Sustainable nanotechnology is being touted as a holistic and pragmatic concept that can guide incremental nanotechnology development amidst significant data gaps and uncertainty. The new European SUN (Sustainable Nanotechnologies) project is based on the hypothesis that the current knowledge on environmental and health risks from MN, whilst limited, can nevertheless guide more sustainable nanomanufacturing. SUN applies an integrated approach that estimates risks along the complete lifecycles of nano-enabled products. It aims to give clear answers to questions from regulatory authorities, and open new possibilities for innovators to design greener nanotechnologies. This will be achieved through development and application of new methods and tools for prediction of long-term exposure, effects and risks for humans and ecosystems (services), practices for risk prevention and management and tools to streamline effective decision making about safer products and processes. In order to achieve this, SUN will combine Risk Assessment and Lifecycle Assessment to develop a user-friendly software-based Decision Support System (DSS) for practical use by industries and regulators. The industrial partners in SUN will validate the DSS against real case studies in terms of risk/benefit and insurance costs. This validation will culminate in guidelines for safe nanoscale product and process design.
BOOK-CHAPTER 5 Reads 1 Citation Natural Hazard Risk Assessment and Management Methodologies Review: Europe G. T. Cirella, E. Semenzin, A. Critto, A. Marcomini Published: 12 August 2013
Air Pollution Modeling and its Application XXI, doi: 10.1007/978-94-007-7161-1_16
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