The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Enhancement of Phytoextraction of Zn, Cd, and Cu from Calcareous Soil: The Use of NTA and Sulfur Amendments
Abstract
In a field experiment we investigated the efficiency of two hyperaccumulating species, four agricultural crop plants, and one woody crop, at phytoextraction of Zn, Cd, and Cu from a polluted calcareous soil. In addition, we examined the possibility to enhance the phytoextraction of these metals by application of nitrilotriacetate (NTA) and elemental sulfur (S 8 ) to the soil. Metal uptake by hyperaccumulating species was higher than that by crop species but was generally low in all treatments compared to results reported in the literature, maybe as a result of lower total and available soil metal concentrations. Soil amended with either S 8 or NTA increased the solubility (NaNO 3 -extraction) of Zn, Cd, and Cu ions by factors of 21, 58, and 9, respectively, but plant accumulation of these metals was only increased by a factor of 2−3. As a result, even the highest metal removal rates achieved in this study were still far from what would be required to make this technique practicable for the remediation of the Dornach field site. To extract for example 50% of the total Cu, Zn, or Cd present in this soil within 10 years, plant metal concentrations of 10.000 mg kg - 1 Cu or 10.000 mg kg - 1 Zn or 45 mg kg - 1 Cd would be required at a biomass production of 7.8 t ha - 1, or 10t ha - 1, or 10t ha - 1, respectively, assuming a linear decrease in soil metals.
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
Phytoremediation of soil metals
Chaney, R. L., Malik, M., Li, Y. M., Brown, S. L., Brewer, E. P., Angle, J. S., & Baker, A. J. (1997) · Current Opinion in Biotechnology · doi:10.1016/s0958-1669(97)80004-3 · Cited by 1,254
Cited by
Phytoremediation: A Promising Approach for Revegetation of Heavy Metal-Polluted Land
Yan, A., Wang, Y., Tan, S. N., Mohd Yusof, M. L., Ghosh, S., & Chen, Z. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00359 · Cited by 1,644
Evangelou, M. W. H., Ebel, M., & Schaeffer, A. (2007) · Chemosphere · doi:10.1016/j.chemosphere.2007.01.062 · Cited by 632
Field crops for phytoremediation of metal-contaminated land. A review
Vamerali, T., Bandiera, M., & Mosca, G. (2010) · Environmental Chemistry Letters · doi:10.1007/s10311-009-0268-0 · Cited by 592
Phytoremediation of metals, metalloids, and radionuclides
McGrath, S. P., Zhao, J., & Lombi, E. (2002) · Advances in Agronomy · doi:10.1016/s0065-2113(02)75002-5 · Cited by 506
Mench, M., Lepp, N., Bert, V., Schwitzguébel, J.-P., Gawronski, S. W., Schröder, P., & Vangronsveld, J. (2010) · Journal of Soils and Sediments · doi:10.1007/s11368-010-0190-x · Cited by 413
Trace element behaviour at the root–soil interface: Implications in phytoremediation
Kidd, P., Barceló, J., Bernal, M. P., Navari-Izzo, F., Poschenrieder, C., Shilev, S., Clemente, R., & Monterroso, C. (2009) · Environmental and Experimental Botany · doi:10.1016/j.envexpbot.2009.06.013 · Cited by 395
Schmidt, U. (2003) · Journal of Environmental Quality · doi:10.2134/jeq2003.1939 · Cited by 340
Factors Affecting Phytoextraction: A Review
SHEORAN, V., SHEORAN, A. S., & POONIA, P. (2016) · Pedosphere · doi:10.1016/s1002-0160(15)60032-7 · Cited by 313
Phytoextraction capacity of trees growing on a metal contaminated soil
Rosselli, W., Keller, C., & Boschi, K. (2003) · Plant and Soil · doi:10.1023/a:1026100707797 · Cited by 290
Kauter, D., Lewandowski, I., & Claupein, W. (2003) · Biomass and Bioenergy · doi:10.1016/s0961-9534(02)00177-0 · Cited by 237
Trace element phytoextraction from contaminated soil: a case study under Mediterranean climate
Guidi Nissim, W., Palm, E., Mancuso, S., & Azzarello, E. (2018) · Environmental Science and Pollution Research · doi:10.1007/s11356-018-1197-x · Cited by 72
Are Grasses Really Useful for the Phytoremediation of Potentially Toxic Trace Elements? A Review
Rabêlo, F. H. S., Vangronsveld, J., Baker, A. J. M., van der Ent, A., & Alleoni, L. R. F. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.778275 · Cited by 67
Metadata
- Authors
- Kayser, A., Wenger, K., Keller, A., Attinger, W., Felix, H. R., Gupta, S. K., & Schulin, R.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-03-28
- Volume
- 34
- Issue
- 9
- Pages
- 1778-1783
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2077187792
- Cited by
- 376
- References
- 1
- FWCI
- 12.61
- 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.
