The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Effects of Magnetite Nanoparticles on Soybean Chlorophyll
Open accessAbstract
Nanoparticles (NPs) have emerged as one of the most innovative and promising application in agriculture. Since plants are recognized as essential component of all ecosystems, the effects of NPs on plants may pave a new insight to the ecosystems. Here, uptake and translocation of superparamagnetic iron oxide NPs (SPIONs), with various surface charges, on soybean has been probed; in addition, the effects of SPIONs on variations of chlorophyll, in hydroponic condition, together with their ability for reduction of iron deficiency chlorosis were explored. We find that SPIONs, which were entered and translocated in the soybean, increased chlorophyll levels, with no trace of toxicity. Furthermore, it was found that physicochemical characteristics of the SPIONs had a crucial role on the enhancement of chlorophyll content in subapical leaves of soybean. The equivalent ratio of chlorophyll a to b, in all treatments with conventional growth medium iron chelate and SPIONs (as iron source), indicated no significant difference on the photosynthesis efficiency. Finally, it was observed that the effect of SPIONs on the soybean chlorophyll content may have influence on both biochemical and enzymatic efficiency in different stages of the photosynthesis reactions.
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
Mineral Nutrition of Higher Plants
(1995) · Elsevier eBooks · doi:10.1016/b978-0-12-473542-2.x5000-7 · Cited by 19,181
Determining the Size and Shape Dependence of Gold Nanoparticle Uptake into Mammalian Cells
Chithrani, B. D., Ghazani, A. A., & Chan, W. C. W. (2006) · Nano Letters · doi:10.1021/nl052396o · Cited by 4,879
Lindsay, W. L. (1979) · Medical Entomology and Zoology · Cited by 3,292
Occurrence, behavior and effects of nanoparticles in the environment
Nowack, B., & Bucheli, T. D. (2007) · Environmental Pollution · doi:10.1016/j.envpol.2007.06.006 · Cited by 2,286
Graf, D. L. (1980) · Clays and Clay Minerals · doi:10.1346/ccmn.1980.0280411 · Cited by 1,829
Phytotoxicity of nanoparticles: Inhibition of seed germination and root growth
Lin, D., & Xing, B. (2007) · Environmental Pollution · doi:10.1016/j.envpol.2007.01.016 · Cited by 1,810
Protein−Nanoparticle Interactions: Opportunities and Challenges
Mahmoudi, M., Lynch, I., Ejtehadi, M. R., Monopoli, M. P., Bombelli, F. B., & Laurent, S. (2011) · Chemical Reviews · doi:10.1021/cr100440g · Cited by 1,426
Self-citationCytotoxicity of Carbon Nanomaterials: Single-Wall Nanotube, Multi-Wall Nanotube, and Fullerene
Jia, G., Wang, H., Yan, L., Wang, X., Pei, R., Yan, T., Zhao, Y., & Guo, X. (2005) · Environmental Science & Technology · doi:10.1021/es048729l · Cited by 1,404
Testing the iron hypothesis in ecosystems of the equatorial Pacific Ocean
Martin, J. H., Coale, K. H., Johnson, K. S., Fitzwater, S. E., Gordon, R. M., Tanner, S. J., Hunter, C. N., Elrod, V. A., Nowicki, J. L., Coley, T. L., et al. (1994) · Nature · doi:10.1038/371123a0 · Cited by 1,382
Root Uptake and Phytotoxicity of ZnO Nanoparticles
Lin, D., & Xing, B. (2008) · Environmental Science & Technology · doi:10.1021/es800422x · Cited by 1,169
Cited by
Potentials of engineered nanoparticles as fertilizers for increasing agronomic productions
Liu, R., & Lal, R. (2015) · Science of The Total Environment · doi:10.1016/j.scitotenv.2015.01.104 · Cited by 1,379
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
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
Venkatachalam, P., Priyanka, N., Manikandan, K., Ganeshbabu, I., Indiraarulselvi, P., Geetha, N., Muralikrishna, K., Bhattacharya, R. C., Tiwari, M., Sharma, N., et al. (2017) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2016.09.004 · Cited by 361
Environmental transformations and ecological effects of iron-based nanoparticles
Lei, C., Sun, Y., Tsang, D. C. W., & Lin, D. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2017.09.052 · Cited by 347
Metadata
- Authors
- Ghafariyan, M. H., Malakouti, M. J., Dadpour, M. R., Stroeve, P., & Mahmoudi, M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-09-06
- Volume
- 47
- Issue
- 18
- Pages
- 130906140819003
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2094930983
- Cited by
- 401
- References
- 42
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- Open access
- green
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.
