Evidence map›Paper›PMID 34816114›Full record

ArticleWater research X2021

Continuous high-frequency pesticide monitoring to observe the unexpected and the overlooked.

D la Cecilia, A Dax, H Ehmann, M Koster, H Singer, C Stamm

Abstract read
In one paragraph

Article in Water research X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Fingerprints of micropollutants under baseflow and event discharge conditions: analysing gradients along two urban streams.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

D la CeciliaEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
A DaxEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
H EhmannCantonal Office for the Environment, Thurgau 8510, Frauenfeld, Switzerland.
M KosterCantonal Office for the Environment, Thurgau 8510, Frauenfeld, Switzerland.
H SingerEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
C StammEawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic Plant Protection Products (PPPs) are a key element for a large part of today's global food systems. However, the transport of PPPs and their transformation products (TPs) to water bodies has serious negative effects on aquatic ecosystems. Small streams in agricultural catchments may experience pronounced concentration peaks given the proximity to fields and poor dilution capacity. Traditional sampling approaches often prevent a comprehensive understanding of PPPs and TPs concentration patterns being limited by trade-offs between temporal resolution and duration of the observation period. These limitations result in a knowledge gap for accurate ecotoxicological risk assessment and the achievement of optimal monitoring strategies for risk mitigation. We present here high-frequency PPPs and TPs concentration time-series measured with the autonomous

Indexed as

High-frequency monitoringHigh resolution mass spectrometryLegacy contaminantsPlant protection productsWater quality

Identifiers

PMID34816114
PMCPMC8593654

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.