The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimates of Upper Bounds and Trends in Nano-TiO2 Production As a Basis for Exposure Assessment
Open accessAbstract
An upper bound is estimated for the magnitude of potential exposure to nano-TiO2 with the purpose of enabling exposure assessment and, ultimately, risk assessment Knowledge of the existing bulk TiO2 market is combined with available nano-TiO2 production data to estimate current nano-TiO2 sources as a baseline. The evolution of nano-TiO2 production as a percentage of the total TiO2 market is then projected based on material and market information along with a method that combines observations from scientific articles and patents as predictive indicators of the rate of innovative transformation.
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Cites
Brunner, T. J., Wick, P., Manser, P., Spohn, P., Grass, R. N., Limbach, L. K., Bruinink, A., & Stark, W. J. (2006) · Environmental Science & Technology · doi:10.1021/es052069i · Cited by 1,385
Cited by
Industrial production quantities and uses of ten engineered nanomaterials in Europe and the world
Piccinno, F., Gottschalk, F., Seeger, S., & Nowack, B. (2012) · Journal of Nanoparticle Research · doi:10.1007/s11051-012-1109-9 · Cited by 1,280
In vitro influences of TiO2 nanoparticles on Barley (Hordeum vulgare L.) tissue culture
Mandeh, M., Omidi, M., & Rahaie, M. (2012) · Biological Trace Element Research · doi:10.1007/s12011-012-9480-z · Cited by 85
Metadata
- Authors
- Robichaud, C. O., Uyar, A. E., Darby, M. R., Zucker, L. G., & Wiesner, M. R.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-05-15
- Volume
- 43
- Issue
- 12
- Pages
- 4227-4233
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2069195858
- Cited by
- 578
- References
- 1
- Type
- other
- Language
- en
- Open access
- bronze
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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.
