The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Brazilian monitoring programs for pesticide residues in food – Results from 2001 to 2010
Open accessAbstract
A total of 13,556 samples of 22 fruit and vegetable crops, rice, and beans were analyzed within two Brazilian pesticide residue monitoring programs between 2001 and 2010. Pesticide residues were found in 48.3% of the samples, and 13.2% presented some irregularity, mostly non-authorized active ingredient use. Less than 3% of the samples had residue levels above the MRL. Apple, papaya, sweet pepper and strawberry were the crops with the higher percentages of positive samples (about 80%). Dithiocarbamates and organophosphorus compounds were found in 41.6% and 30.8% of the samples, respectively. Carbendazim and chlorpyrifos were the pesticides most found (26.7 and 16.1% of positive samples, respectively). Almost half of the samples analyzed had multiple residues (up to 10 residues), with multiple residues most common in samples of apple, sweet pepper and tomato. About 8% of positive samples contained up to four residues of the same chemical class, mainly organophosphorus compounds (18.6%, mostly in apple) and triazoles (16.1%, mostly in papaya and grape). In general, the scenario of pesticide residues in foods investigated within the Brazilian governmental monitoring programs in the last decade is similar to what has been found in other countries. However, the use of non-authorized active ingredients is a common practice among the farmers in the country, a problem that the government authorities have been trying to solve. A preliminary cumulative acute exposure assessment for organophosphates and carbamates in apple has shown that the intake by individuals � 10 years old accounts for 100% of the acephate ARfD, indicating a need to further investigate the exposure through the consumptions of other crops and group of pesticides, mainly for children.
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
Potential developmental neurotoxicity of pesticides used in Europe
Bjørling-Poulsen, M., Andersen, H. R., & Grandjean, P. (2008) · Environmental Health · doi:10.1186/1476-069x-7-50 · Cited by 407
Cited by
Handford, C. E., Elliott, C. T., & Campbell, K. (2015) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.1635 · Cited by 408
The USA lags behind other agricultural nations in banning harmful pesticides
Donley, N. (2019) · Environmental Health · doi:10.1186/s12940-019-0488-0 · Cited by 323
Pesticide residues in fruits and vegetables from the Aegean region, Turkey
Bakırcı, G. T., Yaman Acay, D. B., Bakırcı, F., & Ötleş, S. (2014) · Food Chemistry · doi:10.1016/j.foodchem.2014.02.051 · Cited by 302
Pesticides, Environmental Pollution, and Health
Özkara, A., Akyil, D., & Konuk, M. (2016) · Environmental Health Risk - Hazardous Factors to Living Species · doi:10.5772/63094 · Cited by 284
Agrochemical pesticide production, trade, and hazard: Narrowing the information gap in Colombia
Valbuena, D., Cely-Santos, M., & Obregón, D. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112141 · Cited by 56
Metadata
- Authors
- Jardim, A. N. O., & Caldas, E. D.
- Venue
- Food Control
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 25
- Issue
- 2
- Pages
- 607-616
- ISSN
- 0956-7135 (ISSN-L)
- OpenAlex
- W2104568335
- Cited by
- 225
- References
- 1
- FWCI
- 13.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Brazilian monitoring programs for pesticide residues in food – Results from 2001 to 2010. https://app.cochat.ai/papers/10.1016/j.foodcont.2011.11.001
- The paper
- Jardim, A. N. O., & Caldas, E. D. (2012). Brazilian monitoring programs for pesticide residues in food – Results from 2001 to 2010. Food Control. https://doi.org/10.1016/j.foodcont.2011.11.001
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.