Evidence map›Paper›PMID 41502621›Full record

ArticleACS omega2025

Thermochemical Evaluation of Banana Peel Biomass for Syngas Production: Thermal and Electrical Energy Production Potential.

Shirlene T O Santos, Deivson C S Sales, Adalberto F Nascimento Júnior, Sergio P R Silva

Abstract read
In one paragraph

Article in ACS omega, 2025. 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.

Shirlene T O SantosDepartamento de Energia Nuclear, Universidade Federal de Pernambuco, Av. Prof. Luiz Freire 1000, Cidade Universitária, Recife, Pernambuco 50740-545, Brazil.
Deivson C S SalesEscola Politécnica de Pernambuco, Universidade de Pernambuco, Rua Benfica 455, Madalena, Recife, Pernambuco 50720-001, Brazil.ORCID https://orcid.org/0000-0001-7879-0370
Adalberto F Nascimento JúniorEscola Politécnica de Pernambuco, Universidade de Pernambuco, Rua Benfica 455, Madalena, Recife, Pernambuco 50720-001, Brazil.
Sergio P R SilvaEscola Politécnica de Pernambuco, Universidade de Pernambuco, Rua Benfica 455, Madalena, Recife, Pernambuco 50720-001, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global use of fossil fuels remains high, leading to significant greenhouse gas emissions. To mitigate this, renewable energy sources must be explored, with biomass being a promising option. Biomass is carbon-rich and has a strong thermoconversion potential. In Brazil, banana peel stands out as an abundant biomass source suitable for this process. This study investigates the gasification of banana peel to produce syngas, which is a key precursor for synthetic fuels. The biomass was first prepared and characterized by analyzing moisture content, bulk density, and calorific value and through elemental, bromatological, and immediate analyses. Gasification was then performed at 600, 700, 800, and 900 °C. The results showed a high carbon content, especially volatile carbon, confirming its thermoconversion potential. Syngas rich in hydrogen was produced, with its concentration increasing with the temperature. The highest calorific values were observed at 900 °C, along with greater thermal and electrical energy potential. However, values at 800 °C were similar, suggesting that it is an optimal temperature for the process due to efficiency and potentially lower energy input requirements. This highlights banana peel's viability as a feedstock for renewable energy through thermochemical conversion.

Identifiers

PMID41502621
PMCPMC12771262

What OpenQuestion holds

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LicenceCC BY
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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.