Evidence map›Paper›PMID 37049194›Full record

ArticleMaterials (Basel, Switzerland)2023

Sustainable Innovation: Turning Waste into Soil Additives.

Daria Marczak, Krzysztof Lejcuś, Iwona Lejcuś, Jakub Misiewicz

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Daria MarczakInstitute of Environmental Engineering, Wrocław University of Environmental and Life Sciences, 50-363 Wrocław, Poland.
Krzysztof LejcuśInstitute of Environmental Engineering, Wrocław University of Environmental and Life Sciences, 50-363 Wrocław, Poland.ORCID 0000-0001-5440-9854
Iwona LejcuśInstitute of Meteorology and Water Management-National Research Institute, 01-673 Warszawa, Poland.
Jakub MisiewiczInstitute of Environmental Engineering, Wrocław University of Environmental and Life Sciences, 50-363 Wrocław, Poland.ORCID 0000-0002-5007-6068

Funding

European Regional Development Fund POIR.04.01.04-00-0061/16
6 · The paper itself

Abstract

In recent years, a dynamic increase in environmental pollution with textile waste has been observed. Natural textile waste has great potential for environmental applications. This work identifies potential ways of sustainably managing natural textile waste, which is problematic waste from sheep farming or the cultivation of fibrous plants. On the basis of textile waste, an innovative technology was developed to support water saving and plant vegetation- biodegradable water-absorbing geocomposites (BioWAGs). The major objective of this study was to determine BioWAG effectiveness under field conditions. The paper analyses the effect of BioWAGs on the increments in fresh and dry matter, the development of the root system, and the relative water content (RWC) of selected grass species. The conducted research confirmed the high efficiency of the developed technology. The BioWAGs increased the fresh mass of grass shoots by 230-420% and the root system by 130-200% compared with the control group. The study proved that BioWAGs are a highly effective technology that supports plant vegetation and saves water. Thanks to the reuse of waste materials, the developed technology is compatible with the assumptions of the circular economy and the goals of sustainable development.

Indexed as

biodegradationcircular bioeconomynatural fibressustainable technologywaste management

Identifiers

PMID37049194
PMCPMC10095766

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.