The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Review of emerging concepts in nanotoxicology: opportunities and challenges for safer nanomaterial design
Open accessAbstract
Nanotoxicology and nanosafety has been a topic of intensive research for about more than 20 years. Nearly 10 000 research papers have been published on the topic, yet there exists a gap in terms of understanding and ways to harmonize nanorisk assessment. In this review, we revisit critically ignored parameters of nanoscale materials (e.g. band gap factor, phase instability and silver leaching problem, defect and instability plasmonic versus inorganic particles) versus their biological counterparts (cell batch-to-batch heterogeneity, biological barrier model design, cellular functional characteristics) which yield variability and nonuniformity in results. We also emphasize system biology approaches to integrate the high throughput screening methods coupled with in vivo and in silico modeling to ensure quality in nanosafety research. We emphasize and highlight the recommendation regarding bridging the mechanistic gaps in fundamental research and predictive biological response in nanotoxicology. The research community has to develop visions to predict the unforeseen problems that do not exist yet in context with nanotoxicity and public health hazards due to the burgeoning use of nanomaterial in consumer's product.
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RICHARDSON, S., PLEWA, M., WAGNER, E., SCHOENY, R., & DEMARINI, D. (2007) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2007.09.001 · Cited by 3,317
Glover, R. D., Miller, J. M., & Hutchison, J. E. (2011) · ACS Nano · doi:10.1021/nn2031319 · Cited by 303
Valsami-Jones, E., & Lynch, I. (2015) · Science · doi:10.1126/science.aad0768 · Cited by 232 · cited 1×
“Reprinted with permission from Harper et al. (2015), Malysheva et al. (2015), and Valsami-Jones and Lynch (2015). last 10 years, the nanotoxicology community has been trying to address further technical questions e.g. dosing issues or new protocols to handle aggregation state of materials as a…”
Rittinghausen, S., Hackbarth, A., Creutzenberg, O., Ernst, H., Heinrich, U., Leonhardt, A., & Schaudien, D. (2014) · Particle and Fibre Toxicology · doi:10.1186/s12989-014-0059-z · Cited by 193
Toxicity Evaluation of TiO2 Nanoparticles on the 3D Skin Model: A Systematic Review
Sanches, P. L., Geaquinto, L. R. D. O., Cruz, R., Schuck, D. C., Lorencini, M., Granjeiro, J. M., & Ribeiro, A. R. L. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00575 · Cited by 70
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Ferdous, Z., & Nemmar, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072375 · Cited by 1,019
Enhancing Clinical Translation of Cancer Using Nanoinformatics
Soltani, M., Moradi Kashkooli, F., Souri, M., Zare Harofte, S., Harati, T., Khadem, A., Haeri Pour, M., & Raahemifar, K. (2021) · Cancers · doi:10.3390/cancers13102481 · Cited by 82
Toxicity Evaluation of TiO2 Nanoparticles on the 3D Skin Model: A Systematic Review
Sanches, P. L., Geaquinto, L. R. D. O., Cruz, R., Schuck, D. C., Lorencini, M., Granjeiro, J. M., & Ribeiro, A. R. L. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00575 · Cited by 70
Metadata
- Authors
- Singh, A. V., Laux, P., Luch, A., Sudrik, C., Wiehr, S., Wild, A.-M., Santomauro, G., Bill, J., & Sitti, M.
- Venue
- Toxicology Mechanisms and Methods
- Publisher
- Informa UK Limited
- Published
- 2019-02-12
- Volume
- 29
- Issue
- 5
- Pages
- 378-387
- ISSN
- 1537-6516 (ISSN-L)
- 1537-6524
- OpenAlex
- W2909685955
- Cited by
- 202
- References
- 5
- FWCI
- 10.77
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Singh, A. V., Laux, P., Luch, A., Sudrik, C., Wiehr, S., Wild, A.-M., Santomauro, G., Bill, J., & Sitti, M. (2019). Review of emerging concepts in nanotoxicology: opportunities and challenges for safer nanomaterial design. Toxicology Mechanisms and Methods. https://doi.org/10.1080/15376516.2019.1566425
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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.
