Evidence map›Paper›PMID 42646963›Full record

ReviewToxics2026

Copper-Based Nanopesticides at the Benthic Interface: Transformation, Speciation, Invertebrate Exposure, and Food-Web Risks.

Xin Wu, Yuling Dong, Ao Li, Changjian Xie

Abstract readReview
In one paragraph

Review in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xin WuSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Yuling DongSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Ao LiSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.
Changjian XieSchool of Life Sciences and Medicine, Shandong University of Technology, Zibo 255000, China.ORCID 0000-0002-1573-7924

Funding

National Natural Science Foundation of China 12105163UKRI Horizon Europe Guarantee under the Marie Skłodowska-Curie Actions project EP/Y014936/1Youth Innovation Team Project of Shandong Province 2023KJ142
6 · The paper itself

Abstract

Copper-based nanopesticides are increasingly explored as nano-enabled alternatives to conventional copper pesticides because they may improve deposition, antimicrobial efficacy, and material-use efficiency. Their environmental risk, however, cannot be inferred from total copper concentration or from the toxicity of pristine particles alone. After agricultural application, copper-based nanoforms may be transported to soils, drainage waters, wetlands, and sediments, where aggregation, dissolution, aging, sulfidation, organic complexation, and biological processing reshape their speciation and bioavailability. This review critically examines copper-based nanopesticides at the benthic interface, with emphasis on environmental transformation, synchrotron-resolved speciation, lower-trophic invertebrate exposure, trophic transfer, and food-web risk. We highlight that sediment-associated organisms are not only toxicity endpoints but also biological processors and vectors of transformed copper species. Evidence from stable-isotope tracing, dietary exposure studies, mesocosms, and micro-food-web experiments shows that copper-based nanoforms can enter aquatic, benthic, and terrestrial food chains. However, most studies demonstrate transfer or accumulation rather than consistent biomagnification across trophic levels. We further argue that future risk assessment should move beyond single-material and single-endpoint testing toward transformation-aware, route-specific, and food-web-relevant frameworks. Integrating total copper analysis with particle-specific measurements, synchrotron-based speciation where analytically feasible, realistic lower-trophic exposure models, and ecosystem-level endpoints will be essential for evaluating the long-term risks of copper-based nanopesticides.

Indexed as

benthic interfacebioavailabilitycopper-based nanopesticidesCuO nanoparticlesecological risk assessmentfood-web risklower-trophic invertebratessynchrotron speciationtrophic transfer

Identifiers

PMID42646963
PMCPMC13517274

What OpenQuestion holds

Textmetadata
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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.