Evidence map›Paper›PMID 35480919›Full record

ArticleRSC advances2021

Spent coffee waste as a renewable source for the production of sustainable poly(butylene succinate) biocomposites from a circular economy perspective.

Gerda Gaidukova, Oskars Platnieks, Arturs Aunins, Anda Barkane, Carlo Ingrao, Sergejs Gaidukovs

Abstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Gerda GaidukovaLatvian Maritime Academy Flotes3-7 Riga LV-1016 Latvia gerda.gaidukova@rtu.lv.
Oskars PlatnieksFaculty of Materials Science and Applied Chemistry, Institute of Polymer Materials, Riga Technical University P. Valdena 3/7 Riga LV-1048 Latvia.
Arturs AuninsFaculty of Materials Science and Applied Chemistry, Institute of Polymer Materials, Riga Technical University P. Valdena 3/7 Riga LV-1048 Latvia.
Anda BarkaneLatvian Maritime Academy Flotes3-7 Riga LV-1016 Latvia gerda.gaidukova@rtu.lv.
Carlo IngraoDepartment of Economics, University of Foggia Via Romolo Caggese 1 - 71121 Foggia Italy.
Sergejs GaidukovsFaculty of Materials Science and Applied Chemistry, Institute of Polymer Materials, Riga Technical University P. Valdena 3/7 Riga LV-1048 Latvia.ORCID https://orcid.org/0000-0001-8638-5009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Turning waste products into useable resources is a necessity for the sustainable future of our planet. Such is the case with popular beverage coffee that produces solid waste in the form of spent coffee grounds (SCG). There is an opportunity to use SCG material as a cheap, sustainable, and biodegradable polymer filler that is received as waste from espresso machines. There have been relatively many studies that prove the concept of various agricultural and forestry waste, which can be integrated into modern green materials. Building upon this concept, we have selected a promising polyester poly(butylene succinate) (PBS) as a matrix owing to its bio-based and biodegradable nature. High loadings of SCG from 20 to 60 wt% were tested for optimal composition performance. Tensile, dynamic mechanical, thermal, and structural properties of the composites were examined, while their biodegradation in composting conditions was also analyzed. SCG filler showed different performance from various cellulose fiber-based composites, and properties significantly varied depending on loading. Compared to neat PBS, biodegradation occurred twice as fast for composite materials with high SGC loadings.

Identifiers

PMID35480919
PMCPMC9033479

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Registered trials

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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.