Evidence map›Paper›PMID 40180975›Full record

ArticleScientific reports2025

Thermal behavior and conversion of agriculture biomass residues by torrefaction and pyrolysis.

Mihai Brebu, Daniela Ioniță, Elena Stoleru

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Mihai Brebu"Petru Poni" Institute of Macromolecular Chemistry, 41 A Gr. Ghica Voda Alley, 700487, Iași, Romania. bmihai@icmpp.ro.
Daniela Ioniță"Petru Poni" Institute of Macromolecular Chemistry, 41 A Gr. Ghica Voda Alley, 700487, Iași, Romania.
Elena Stoleru"Petru Poni" Institute of Macromolecular Chemistry, 41 A Gr. Ghica Voda Alley, 700487, Iași, Romania.

Funding

Ministry of Research, Innovation and Digitization, CNCS/CCCDI-UEFISCDI, Romania project code PN-III-P4-PCE-2021-1141, contract number PCE 65/2022, within PNCDI II
6 · The paper itself

Abstract

Vegetal biomass is an abundant, readily available and easy to collect resource which can be converted into energy and materials. Biomass residues from agriculture and fruit crop activities, grouped in four classes (stalks, hulls, shells, pits), were subjected to thermal analysis and valorization. Thermogravimetry revealed high homogeneity between shells, large heterogeneity of stalks, and presence of thermally sensitive compounds in hulls. The Fisher weight variable selection analysis indicates that the differences in thermal behavior of biomass residues come from the components with specific biological functions (e.g. light volatiles and oils), while the structural components (hemicelluloses, cellulose and lignin) provide the general trend. This allows sample classification prior deciding on further waste management procedures. Torrefaction at 250 °C concentrated most part of the energy content into solids, with energy yield approaching 100%. Pyrolysis at 550 °C produces biochars with calorific values above 30 kJ/g from shells and pits. Most part of the energy input is used to produce oils with various compositions. Shells can be used to obtain phenolic compounds, hulls for production of aromatics and stalks for furans and ketones. Pits, on the other hand, are suitable raw material when fatty acids are targeted as pyrolysis compounds.

Indexed as

AgricultureBiomassPyrolysisCelluloseCharcoalHot TemperatureLigninThermogravimetrybiocharCelluloseCharcoalLigninProduct recoveryPyrolysisSolid waste managementThermal analysisTorrefaction

Identifiers

PMID40180975
PMCPMC11968857

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.