Evidence map›Paper›PMID 35629536›Full record

ArticleMaterials (Basel, Switzerland)2022

Ecotoxicity of Recycled Aggregates: Application of a Prediction Methodology.

Margarida B Maia, Jorge de Brito, Isabel M Martins, José D Silvestre

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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.

Margarida B MaiaCivil Engineering Research and Innovation for Sustainability (CERIS), Department of Civil Engineering, Architecture and Georresources, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal.
Jorge de BritoCivil Engineering Research and Innovation for Sustainability (CERIS), Department of Civil Engineering, Architecture and Georresources, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal.ORCID 0000-0001-6766-2736
Isabel M MartinsDepartment of Materials, Laboratório Nacional de Engenharia Civil (LNEC), Av. do Brasil 101, 1700-066 Lisbon, Portugal.ORCID 0000-0001-7116-7543
José D SilvestreCivil Engineering Research and Innovation for Sustainability (CERIS), Department of Civil Engineering, Architecture and Georresources, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal.ORCID 0000-0002-3330-2000

Funding

Fundação para a Ciência e Tecnologia PD/BD/135258/2017
6 · The paper itself

Abstract

Due to environmental concerns, the search for sustainable construction solutions has been increasing over the years. This global concern is creating a trend in the use of recycled aggregates resulting from construction and demolition wastes from different sources. In addition to their physical and mechanical properties, it is important to analyse their ecotoxicological risk to determine whether their leachates might be an issue. To assess ecotoxicity, biological tests should be performed for different trophic levels. This type of test is expensive and needs a high level of expertise, which leads to a lack of studies on recycled aggregates including ecotoxicity analysis. This paper presents a set of predictive ecotoxicity results based on the published studies on recycled aggregates. These results are the outcome of applying an innovative methodology previously developed and validated by the authors aiming to foresee the ecotoxicological fate of building materials' constituents and products. The application of this methodology enables the classification of a recycled aggregate product as safe or unsafe in terms of ecotoxicity risk, while keeping biological testing to a minimum.

Indexed as

ecotoxicityprediction methodologyrecycled aggregatessustainable construction

Identifiers

PMID35629536
PMCPMC9145564

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.