The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Long-Term Persistence of Pesticides and TPs in Archived Agricultural Soil Samples and Comparison with Pesticide Application
Open accessAbstract
For polar and more degradable pesticides, not many data on long-term persistence in soil under field conditions and real application practices exist. To assess the persistence of pesticides in soil, a multiple-compound screening method (log K ow 1.7–5.5) was developed based on pressurized liquid extraction, QuEChERS and LC-HRMS. The method was applied to study 80 polar pesticides and >90 transformation products (TPs) in archived topsoil samples from the Swiss Soil Monitoring Network (NABO) from 1995 to 2008 with known pesticide application patterns. The results reveal large variations between crop type and field sites. For the majority of the sites 10–15 pesticides were identified with a detection rate of 45% at concentrations between 1 and 330 μg/kg dw in soil. Furthermore, TPs were detected in 47% of the cases where the “parent-compound” was applied. Overall, residues of about 80% of all applied pesticides could be detected with half of these found as TPs with a persistence of more than a decade.
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
Identifying Small Molecules via High Resolution Mass Spectrometry: Communicating Confidence
Schymanski, E. L., Jeon, J., Gulde, R., Fenner, K., Ruff, M., Singer, H. P., & Hollender, J. (2014) · Environmental Science & Technology · doi:10.1021/es5002105 · Cited by 4,519
Self-citationKrauss, M., Singer, H., & Hollender, J. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3608-9 · Cited by 743
Self-citationSoil monitoring in Europe: a review of existing systems and requirements for harmonisation
Morvan, X., Saby, N. P. A., Arrouays, D., Le Bas, C., Jones, R. J. A., Verheijen, F. G. A., Bellamy, P. H., Stephens, M., & Kibblewhite, M. G. (2008) · Science of The Total Environment · doi:10.1016/j.scitotenv.2007.10.046 · Cited by 246
Cited by
Pesticide residues in European agricultural soils – a hidden reality unfolded
Silva, V., Mol, H. G. J., Zomer, P., Tienstra, M., Ritsema, C. J., & Geissen, V. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.10.441 · Cited by 1,153
Currently and recently used pesticides in Central European arable soils
Hvězdová, M., Kosubová, P., Košíková, M., Scherr, K. E., Šimek, Z., Brodský, L., Šudoma, M., Škulcová, L., Sáňka, M., Svobodová, M., et al. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.09.049 · Cited by 293
Slaby, S., Catteau, A., Le Cor, F., Cant, A., Dufour, V., Iurétig, A., Turiès, C., Palluel, O., Bado-Nilles, A., Bonnard, M., et al. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.166326 · Cited by 12
Metadata
- Authors
- Chiaia-Hernandez, A. C., Keller, A., Wächter, D., Steinlin, C., Camenzuli, L., Hollender, J., & Krauss, M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-09-06
- Volume
- 51
- Issue
- 18
- Pages
- 10642-10651
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2747896873
- Cited by
- 206
- References
- 3
- FWCI
- 4.35
- 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.
