Evidence map›Paper›PMID 32939159›Full record

ArticleScience and technology of advanced materials2020

Quantitative prediction of mixture toxicity of AgNO

Min Jeong Baek, Jino Son, Jayoung Park, Yohan Seol, Baeckkyoung Sung, Young Jun Kim

Open access · goldAbstract read
In one paragraph

Article in Science and technology of advanced materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Insights into the molecular response ofScience and technology of advanced materials · 2024
    Article
  3. Review
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 at 2 institutions in 2 countries.

Min Jeong BaekKIST Europe Forschungsgesellschaft mbH, Saarbrücken, Germany.ORCID https://orcid.org/0000-0003-0101-2065
Jino SonOjeong Ecoresilience Institute, Korea University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1752-142X
Jayoung ParkKIST Europe Forschungsgesellschaft mbH, Saarbrücken, Germany.ORCID https://orcid.org/0000-0003-2582-923X
Yohan SeolKIST Europe Forschungsgesellschaft mbH, Saarbrücken, Germany.
Baeckkyoung SungKIST Europe Forschungsgesellschaft mbH, Saarbrücken, Germany.ORCID https://orcid.org/0000-0003-3130-0615
Young Jun KimKIST Europe Forschungsgesellschaft mbH, Saarbrücken, Germany.ORCID https://orcid.org/0000-0003-2605-0922
KIST Europe · DEKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Once metal-based engineered nanoparticles (NPs) are released into the aquatic environment, they are expected to interact with other existing co-contaminants. A knowledge gap exists as to how the interaction of NPs with other co-contaminants occurs. Here we selected ZnO NPs among various NPs, with Ag ion existing as a contaminant in the aquatic environment by Ag NPs widely used. A novel modeling strategy was demonstrated enabling quantitative and predictive evaluation of the aqueous mixture nanotoxicity. Individual and binary mixture toxicity tests of ZnO NPs and silver (as AgNO3) on Daphnia magna were conducted and compared to determine whether the presence of Ag ions affects the toxicity of ZnO NPs. Binary mixture toxicity was evaluated based on the concentration addition (CA) and independent action models. The CA dose-ratio dependent model was found to be the model of best fit for describing the pattern of mixture toxicity. The MIX I and MIX III suspensions (higher ratios of ZnO NPs to AgNO3) showed a synergism, whereas the MIX II suspension (lower ratio of ZnO NPs to AgNO3) showed an antagonism. The synergistic mixture toxicity at higher ratios of ZnO NPs to AgNO3 was caused by either the physiological or metabolic disturbance induced by the excessive ionic Zn or increased transport and accumulation in D. magna via the formation of complex of ionic Ag with ZnO NPs. Therefore, the toxicity level contributed via their aggregation and physicochemical properties and the dissolved ions played a crucial role in the mixture toxicities of the NPs.

Indexed as

106 Metallic materials404 Materials informatics / Genomics503 TEM600 Othersconcentration additionDaphnia magnaindependent actionmixture toxicityPredictive nanotoxicologysilver ionSTEMzinc oxide nanomaterial

Identifiers

PMID32939159
PMCPMC7476544
OpenAlexW3024158636

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.