Evidence map›Paper›PMID 41141756›Full record

ReviewACS omega2025

Advancing Green GasificationA Review on Biological Pretreatment, Syngas Purification, Machine Learning Technology, and Techno-economic Insights for Biofuel Production.

Sankar Sudharsan Rameshwar, Santhosh Paramasivam, Natarajan Rajamohan, Brindha Sakthivel, Dhivya Dharshika Kannan, Baskaran Sivaprakash, Gianluca Gatto

Abstract readReview
In one paragraph

Review 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

7 authors.

Sankar Sudharsan RameshwarDepartment of Chemical Engineering, Annamalai University, Annamalai Nagar 608002, India.ORCID https://orcid.org/0009-0008-5086-8883
Santhosh ParamasivamDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari 09123, Italy.ORCID https://orcid.org/0000-0003-3902-8556
Natarajan RajamohanChemical Engineering Section, Faculty of Engineering, Sohar University, Sohar 311, Oman.
Brindha SakthivelDepartment of Biotechnology, Karpagam Academy of Higher Education, Coimbatore 641021, India.
Dhivya Dharshika KannanDepartment of Biotechnology, Karpagam Academy of Higher Education, Coimbatore 641021, India.
Baskaran SivaprakashTamilnadu Government Polytechnic College, Madurai 625002, India.
Gianluca GattoDepartment of Electrical and Electronic Engineering, University of Cagliari, Cagliari 09123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dependence on conventional fossils for energy and the ongoing utilization of carbonaceous resources significantly burden the environment. Consequently, researchers have strived to establish sustainable energy-generating methods that employ renewable resources to minimize environmental stress. Gasification of biomass is a potential route to harness the potential of biological reserves. This process strategically employs various agents to catalyze the desired reactions, facilitating the transformation of biomass feedstocks into fuels or alternative products. This article explores various gasification technologies, including catalytic gasification, steam gasification, and supercritical and subcritical water gasification, as a sustainable approach for converting lignocellulosic agricultural residues into biohydrogen. Additionally, comprehensive insights into syngas purification methodologies and carbon sequestration from the produced syngas are presented. One of the key highlights of this review is the utilization of machine learning models for enhancing the efficiency of gasification systems, showcasing the interdisciplinary nature of the research and its potential for future advancements. An economic evaluation is also presented. Implementing supercritical water gasification on lignocellulosic biomass has significantly increased the syngas production rate while decreasing the reaction time. Similarly, in catalytic gasification techniques that employ a variety of metallic and ceramic catalysts, a substantial increase in syngas output has been observed, featuring increased proportions of hydrogen and carbon oxides as well as a complete reduction in tar formation.

Identifiers

PMID41141756
PMCPMC12547527

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.