Evidence map›Paper›PMID 42168459›Full record

ArticleScientific reports2026

Thermochemical properties and life cycle assessment of waste spent coffee grounds.

Theoklitos Klitou, Kyriaki Koumenidou, Michalis Menicou, Paris A Fokaides

Abstract read
In one paragraph

Article in Scientific reports, 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.

Theoklitos KlitouSchool of Engineering, Frederick University, Nicosia, Cyprus.
Kyriaki KoumenidouSchool of Engineering, Frederick University, Nicosia, Cyprus.
Michalis MenicouSchool of Engineering, Frederick University, Nicosia, Cyprus.
Paris A FokaidesSchool of Engineering, Frederick University, Nicosia, Cyprus. eng.fp@frederick.ac.cy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spent coffee grounds (SCGs) represent a widely available organic residue with significant potential for energy valorization. This study evaluates the feasibility of converting SCGs into fuel pellets. Thermochemical characterization indicated promising properties for energy recovery and informed the development of a subsequent life cycle assessment (LCA). A cradle-to-gate LCA, performed using the ILCD methodology, assesses four pelletization scenarios: a baseline grid-powered process, sun drying, photovoltaic electricity supply, and their combination.The results identify drying and transportation as the dominant contributors to environmental impacts. The combined sun drying and photovoltaic scenario achieves the lowest impacts across all assessed categories, reducing greenhouse gas emissions and fossil resource depletion by more than 50% compared to the baseline.A sensitivity analysis was conducted on key parameters, including moisture content (25%, 50%-baseline scenario, and 75%), electricity supply based on alternative European grid mixes, and transportation distance for both the collection of SCGs and the distribution of pellets. The analysis highlights the importance of balanced moisture content, the influence of electricity generation profiles, and the benefits of reduced transportation distances on overall environmental performance.A preliminary cost-benefit perspective is also presented to outline key economic considerations, forming the basis for a more detailed techno-economic assessment in future work.

Indexed as

Biomass combustionLCAPelletizationSpent coffee groundsWaste management

Identifiers

PMID42168459
PMCPMC13402803

What OpenQuestion holds

Textmetadata
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.