ArticleNAM journal2025
A miniaturised method for feeding rate in daphnids-A physiology endpoint for risk assessment.
Article in NAM journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- A Miniaturised Protocol for Feeding Measurements in Daphnids.Methods and protocols · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pollution is monitored in the ecosystem with methods that aim to capture the presence of pollutants. However, risk assessment is more oriented to develop sensitive metrics that rely on Novel Approach Methodologies (NAMs) which can support existing methods and offer mechanistic insight to the action of pollutants. Feeding is a phenotypic endpoint assessed in many organisms to describe changes in their physiology. For daphnids, feeding is usually quantified with assays employing large volumes and long incubation periods or even cumbersome techniques. In this paper we present a more robust and a faster method to assess feeding with simple fluorescence measurements based on the consumption of algae. The optimized protocol has been tested in a range of pollutants and feeding has proved to be a sensitive indicator for non-lethal exposures.
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Registered trials
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.