The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
A theoretical framework for predicting the oxidative stress potential of oxide nanoparticles
Abstract
In this paper we propose a theoretical model that predicts the oxidative stress potential of oxide nanoparticles by looking at the ability of these materials to perturb the intracellular redox state. The model uses reactivity descriptors to build the energy band structure of oxide nanoparticles, assuming a particle diameter larger than 20-30 nm and no surface states in the band gap, and predicts their ability to induce an oxidative stress by comparing the redox potentials of relevant intracellular reactions with the oxides' energy structure. Nanoparticles displaying band energy values comparable with redox potentials of antioxidants or radical formation reactions have the ability to cause an oxidative stress and a cytotoxic response in vitro. We discuss the model's predictions for six relevant oxide nanoparticles (TiO(2), CuO, ZnO, FeO, Fe(2)O(3), Fe(3)O(4)) with literature in vitro studies and calculate the energy structure for 64 additional oxide nanomaterials. Such a framework would guide the development of more rational and efficient screening strategies avoiding random or exhaustive testing of new nanomaterials.
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
Cites
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
Daniel, M.-C., & Astruc, D. (2004) · Chemical Reviews · doi:10.1021/cr030698+ · Cited by 12,446
Toxic potential of materials at the nanolevel
Nel, A., Xia, T., Mädler, L., & Li, N. (2006) · Science · doi:10.1126/science.1114397 · Cited by 9,324
The absolute energy positions of conduction and valence bands of selected semiconducting minerals
Xu, Y., & Schoonen, M. A. A. (2000) · American Mineralogist · doi:10.2138/am-2000-0416 · Cited by 3,864
Density Functional Theory of Electronic Structure
Kohn, W., Becke, A. D., & Parr, R. G. (1996) · The Journal of Physical Chemistry · doi:10.1021/jp960669l · Cited by 3,461
Cedervall, T., Lynch, I., Lindman, S., Berggård, T., Thulin, E., Nilsson, H., Dawson, K. A., & Linse, S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608582104 · Cited by 3,281
Xia, T., Kovochich, M., Liong, M., Mädler, L., Gilbert, B., Shi, H., Yeh, J. I., Zink, J. I., & Nel, A. E. (2008) · ACS Nano · doi:10.1021/nn800511k · Cited by 2,469
Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective
Auffan, M., Rose, J., Bottero, J.-Y., Lowry, G. V., Jolivet, J.-P., & Wiesner, M. R. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.242 · Cited by 1,950
Karlsson, H. L., Cronholm, P., Gustafsson, J., & Möller, L. (2008) · Chemical Research in Toxicology · doi:10.1021/tx800064j · Cited by 1,480
Electrochemical and Photoelectrochemical Investigation of Single-Crystal Anatase
Kavan, L., Grätzel, M., Gilbert, S. E., Klemenz, C., & Scheel, H. J. (1996) · Journal of the American Chemical Society · doi:10.1021/ja954172l · Cited by 1,422
Cited by
Micro- and Nano-plastics and Human Health
Galloway, T. S. (2015) · Marine Anthropogenic Litter · doi:10.1007/978-3-319-16510-3_13 · Cited by 527
Nanotechnology and artificial intelligence to enable sustainable and precision agriculture
Zhang, P., Guo, Z., Ullah, S., Melagraki, G., Afantitis, A., & Lynch, I. (2021) · Nature Plants · doi:10.1038/s41477-021-00946-6 · Cited by 478
Wang, Y., Cai, R., & Chen, C. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.9b00126 · Cited by 303
Characteristics of nano-plastics in bottled drinking water
Huang, Y., Wong, K. K., Li, W., Zhao, H., Wang, T., Stanescu, S., Boult, S., van Dongen, B., Mativenga, P., & Li, L. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.127404 · Cited by 84
From Dose to Response: In Vivo Nanoparticle Processing and Potential Toxicity
Graham, U. M., Jacobs, G., Yokel, R. A., Davis, B. H., Dozier, A. K., Birch, M. E., Tseng, M. T., Oberdörster, G., Elder, A., & DeLouise, L. (2017) · Advances in Experimental Medicine and Biology · doi:10.1007/978-3-319-47754-1_4 · Cited by 59
Metadata
- Authors
- Burello, E., & Worth, A. P.
- Venue
- Nanotoxicology
- Publisher
- Informa UK Limited
- Published
- 2010-07-15
- Volume
- 5
- Issue
- 2
- Pages
- 228-235
- ISSN
- 1743-5390 (ISSN-L)
- 1743-5404
- OpenAlex
- W2098811469
- Cited by
- 334
- References
- 26
- FWCI
- 5.71
- 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: A theoretical framework for predicting the oxidative stress potential of oxide nanoparticles. https://app.cochat.ai/papers/10.3109/17435390.2010.502980
- The paper
- Burello, E., & Worth, A. P. (2011). A theoretical framework for predicting the oxidative stress potential of oxide nanoparticles. Nanotoxicology. https://doi.org/10.3109/17435390.2010.502980
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.
