ReviewACS omega2025
Advancing Green GasificationA Review on Biological Pretreatment, Syngas Purification, Machine Learning Technology, and Techno-economic Insights for Biofuel Production.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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
What OpenQuestion holds
Registered trials
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.