The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Novel Method for the Direct Visualization of in Vivo Nanomaterials and Chemical Interactions in Plants
Abstract
The increasing use of nanomaterials in almost all sectors of society (e.g., health or energy to agriculture and transport) has generated a need for innovative detection methods for nanomaterials, to enable their continued development, environmental and toxicological monitoring, and risk assessment. In vivo nanoparticle visualization is needed to support applications in drug delivery to plant biology where real-time monitoring is essential. Techniques are sought that do not require the addition of molecular tags or nanotags to enhance detection, because these may modify the surface properties or behavior of the nanomaterials. Here two-photon excitation microscopy coupled with plant nanomaterial, or chemical autofluorescence is used to detect and visualize multiwalled carbon nanotubes (MWCNTs), titanium dioxide, and cerium dioxide in living wheat tissues. The potential of the technique to track chemical-nanomaterial interactions in living tissues is then demonstrated, using phenanthrene as a model compound. MWCNTs were observed to pierce wheat root cell walls and enhance the transport of phenanthrene into the living cells. The ability of this technique to monitor real-time in vivo nanomaterial behavior and its potential applications and limitations for use in various disciplines is highlighted.
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
Direct imaging of single-walled carbon nanotubes in cells
Porter, A. E., Gass, M., Muller, K., Skepper, J. N., Midgley, P. A., & Welland, M. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.347 · Cited by 564
Cited by
Schwab, F., Zhai, G., Kern, M., Turner, A., Schnoor, J. L., & Wiesner, M. R. (2016) · Nanotoxicology · doi:10.3109/17435390.2015.1048326 · Cited by 872
Nanoparticle-Based Sustainable Agriculture and Food Science: Recent Advances and Future Outlook
Mittal, D., Kaur, G., Singh, P., Yadav, K., & Ali, S. A. (2020) · Frontiers in Nanotechnology · doi:10.3389/fnano.2020.579954 · Cited by 788
Nanomaterials and the environment: A review for the biennium 2008–2010
Peralta-Videa, J. R., Zhao, L., Lopez-Moreno, M. L., de la Rosa, G., Hong, J., & Gardea-Torresdey, J. L. (2011) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2010.11.020 · Cited by 592
Toxicity, Uptake, and Translocation of Engineered Nanomaterials in Vascular plants
Miralles, P., Church, T. L., & Harris, A. T. (2012) · Environmental Science & Technology · doi:10.1021/es202995d · Cited by 549
Phytosynthesis of nanoparticles: concept, controversy and application
Husen, A., & Siddiqi, K. S. (2014) · Nanoscale Research Letters · doi:10.1186/1556-276x-9-229 · Cited by 435
Metadata
- Authors
- Wild, E., & Jones, K. C.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-06-04
- Volume
- 43
- Issue
- 14
- Pages
- 5290-5294
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W1964722819
- Cited by
- 254
- References
- 1
- FWCI
- 6.38
- 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
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.