Danail Hristozov

Dr. Danail Hristozov

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 May 2016 in Environmental Science & Technology
Verified
Journal Article
Closed access
PHPatricia Holden
Patricia Holden
JGJorge L. Gardea-Torresdey
Jorge L. Gardea-Torresdey
FKFred Klaessig
Fred Klaessig
RTRonald F. Turco
Ronald F. Turco
MMMonika Mortimer
Monika Mortimer
ANAndre Nel
Andre Nel

29 September 2014 in ACS Nano
Verified
Journal Article
Open access
Ilaria CorsiIlaria Corsi
Ilaria Corsi
GCGary N. Cherr
Gary N. Cherr
HLHunter S. Lenihan
Hunter S. Lenihan
JLJérôme Labille
Jérôme Labille
MHMartin Hassellov
Martin Hassellov
VMValeria Matranga
Valeria Matranga
The widespread use of engineered nanomaterials (ENMs) in a variety of technologies and consumer products inevitably causes their release into aquatic environments and final deposition into the oceans. In addition, a growing number of ENM products are being developed specifically for marine applications, such as antifouling coatings and environmental remediation systems, thus increasing the need to address any potential risks for marine organisms and ecosystems. To safeguard the marine environment, major scientific gaps related to assessing and designing ecosafe ENMs need to be filled. In this Nano Focus, we examine key issues related to the state-of-the-art models and analytical tools being developed to understand ecological risks and to design safeguards for marine organisms.

18 October 2011 in Nanotoxicology
Verified
Journal Article
Closed access
DHDanail Hristozov
Danail Hristozov
SGStefania Gottardo
Stefania Gottardo
ACAndrea Critto
Andrea Critto
Antonio MarcominiAntonio Marcomini
Antonio Marcomini
It has been largely recognised that substantial limitations and uncertainties make the conventional risk assessment (RA) of chemicals unfeasible to apply to engineered nanomaterials (ENMs) today, which leaves the regulators with little support in the near term. The aim of this paper is to discuss the state of the art in the area of the RA of nanomaterials, focusing on the available data and approaches. There is a paucity of reliable information in the online safety databases and the literature is dominated by (eco)toxicity studies, while the nano-exposure research lags behind. Most of the reviewed nano-RA approaches are designed to serve as preliminary risk screening and/or research prioritisation tools and are not intended to support regulatory decision making. In this context, we recommend to further study the possibilities to apply complementary/alternative tools for near-term RA of ENMs in order to facilitate their timely regulation, using the data that are currently available in the literature.

Agnes OomenAgnes Oomen
Agnes Oomen
EBEric A. J. Bleeker
Eric A. J. Bleeker
PBPeter Bos
Peter Bos
FBFleur Van Broekhuizen
Fleur Van Broekhuizen
SGStefania Gottardo
Stefania Gottardo
RLRobert Landsiedel
Robert Landsiedel
Physicochemical properties of chemicals affect their exposure, toxicokinetics/fate and hazard, and for nanomaterials, the variation of these properties results in a wide variety of materials with potentially different risks. To limit the amount of testing for risk assessment, the information gathering process for nanomaterials needs to be efficient. At the same time, sufficient information to assess the safety of human health and the environment should be available for each nanomaterial. Grouping and read-across approaches can be utilised to meet these goals. This article presents different possible applications of grouping and read-across for nanomaterials within the broader perspective of the MARINA Risk Assessment Strategy (RAS), as developed in the EU FP7 project MARINA. Firstly, nanomaterials can be grouped based on limited variation in physicochemical properties to subsequently design an efficient testing strategy that covers the entire group. Secondly, knowledge about exposure, toxicokinetics/fate or hazard, for example via properties such as dissolution rate, aspect ratio, chemical (non-)activity, can be used to organise similar materials in generic groups to frame issues that need further attention, or potentially to read-across. Thirdly, when data related to specific endpoints is required, read-across can be considered, using data from a source material for the target nanomaterial. Read-across could be based on a scientifically sound justification that exposure, distribution to the target (fate/toxicokinetics) and hazard of the target material are similar to, or less than, the source material. These grouping and read-across approaches pave the way for better use of available information on nanomaterials and are flexible enough to allow future adaptations related to scientific developments.

30 November 2009 in Sustainability
Verified
Journal Article
Open access
PDF file
DHDanail Hristozov
Danail Hristozov
IMIneke Malsch
Ineke Malsch
The objectives of this article are to: (1) investigate the current state of knowledge of the risks of engineered nanoparticles for the environment and human health, (2) estimate whether this knowledge is sufficient to facilitate their comprehensive and effective risk assessment and (3) provide recommendations on future research in the field of risk assessment of nanomaterials. In order to meet the objectives, the relevance of each of the four steps of the risk assessment methodology (i.e., hazard identification, dose-response assessment, exposure assessment and risk characterization) was evaluated in the context of the current state of knowledge of the risks of nanomaterials, limitations were identified and recommendations were given on how to overcome them.

1 January 2014 in Particle and Fibre Toxicology
Verified
Journal Article
Open access
PDF file
VSVicki Stone
Vicki Stone
SPStefano Pozzi-Mucelli
Stefano Pozzi-Mucelli
LTLang Tran
Lang Tran
KAKarin Aschberger
Karin Aschberger
SSStefania Sabella
Stefania Sabella
JSJaneck J. Scott-Fordsmand
Janeck J. Scott-Fordsmand
To assess the risk of all nanomaterials (NMs) on a case-by-case basis is challenging in terms of financial, ethical and time resources. Instead a more intelligent approach to knowledge gain and risk assessment is required.