The DOI matches its Crossref record.
Risk assessment of engineered nanomaterials: a review of available data and approaches from a regulatory perspective
Abstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
New Generation Adsorbents for Water Treatment
Ali, I. (2012) · Chemical Reviews · doi:10.1021/cr300133d · Cited by 1,758
Lignin for Nano‐ and Microscaled Carrier Systems: Applications, Trends, and Challenges
Sipponen, M. H., Lange, H., Crestini, C., Henn, A., & Österberg, M. (2019) · ChemSusChem · doi:10.1002/cssc.201900480 · Cited by 284
Marvin, H. J. P., Bouzembrak, Y., Janssen, E. M., van der Zande, M., Murphy, F., Sheehan, B., Mullins, M., & Bouwmeester, H. (2017) · Nanotoxicology · doi:10.1080/17435390.2016.1278481 · Cited by 82
Gosens, I., Mathijssen, L. E. A. M., Bokkers, B. G. H., Muijser, H., & Cassee, F. R. (2014) · Nanotoxicology · doi:10.3109/17435390.2013.815814 · Cited by 72
Money, E. S., Barton, L. E., Dawson, J., Reckhow, K. H., & Wiesner, M. R. (2014) · Science of The Total Environment · doi:10.1016/j.scitotenv.2013.12.100 · Cited by 30
Metadata
- Authors
- Hristozov, D. R., Gottardo, S., Critto, A., & Marcomini, A.
- Venue
- Nanotoxicology
- Publisher
- Informa UK Limited
- Published
- 2012-01-09
- Volume
- 6
- Issue
- 8
- Pages
- 880-898
- ISSN
- 1743-5390 (ISSN-L)
- 1743-5404
- OpenAlex
- W2145857667
- Cited by
- 167
- References
- 0
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Risk assessment of engineered nanomaterials: a review of available data and approaches from a regulatory perspective. https://app.cochat.ai/papers/10.3109/17435390.2011.626534
- The paper
- Hristozov, D. R., Gottardo, S., Critto, A., & Marcomini, A. (2012). Risk assessment of engineered nanomaterials: a review of available data and approaches from a regulatory perspective. Nanotoxicology. https://doi.org/10.3109/17435390.2011.626534
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
