Evidence map›Paper›PMID 41293291›Full record

ReviewRSC advances2025

Recent advances in biomass valorization through thermochemical processes, bio-oil production and AI strategies: a concise review.

Yasmeen Saleh, Labeeb Ali, Mohammednoor Altarawneh

Abstract readReview
In one paragraph

Review in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Yasmeen SalehUnited Arab Emirates University, Department of Chemical and Petroleum Engineering Sheikh Khalifa bin Zayed Street Al-Ain 15551 United Arab Emirates labeeb_ali@uaeu.ac.ae.
Labeeb AliUnited Arab Emirates University, Department of Chemical and Petroleum Engineering Sheikh Khalifa bin Zayed Street Al-Ain 15551 United Arab Emirates labeeb_ali@uaeu.ac.ae.ORCID https://orcid.org/0000-0002-4877-4801
Mohammednoor AltarawnehUnited Arab Emirates University, Department of Chemical and Petroleum Engineering Sheikh Khalifa bin Zayed Street Al-Ain 15551 United Arab Emirates labeeb_ali@uaeu.ac.ae.ORCID https://orcid.org/0000-0002-2832-3886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomass valorization through thermochemical pathways is an appropriate option to generate bioenergy, reducing the reliance on petroleum-based fuels and minimizing their adverse environmental impacts. Biomass waste accumulates abundantly worldwide and is typically managed through landfilling and incineration, posing threats to the environment. Alternatively, biomass waste can be converted into valuable products through thermochemical techniques. This review provides an overview on the categories of biomass and the most widely utilized thermochemical pathways for its conversion, including pyrolysis, gasification, liquefaction, and combustion. Additionally, the characteristics and conditions of the processes, configuration of the utilized reactors, the main products, bio-oil catalytic upgrading, advanced upgrading techniques, and commercial-scale thermochemical plants are discussed. Moreover, it summarizes the main findings of the notable studies that investigated the thermal degradation of various biomass types. Furthermore, it highlights the role of artificial intelligence (AI) in forecasting bioenergy production from lignocellulosic biomass. Finally, the main challenges in the thermochemical valorization of biomass, which necessitate further research, are identified.

Identifiers

PMID41293291
PMCPMC12642992

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.