Evidence map›Paper›PMID 40626279›Full record

ReviewSmart molecules : open access2024

A review on renewable energy: Conversion and utilization of biomass.

Xinping Yang, Yongjia Zhang, Peiliang Sun, Chong Peng

Abstract readReview
In one paragraph

Review in Smart molecules : open access, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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.

Xinping YangState Key Laboratory of Fine Chemicals School of Chemical Engineering Dalian University of Technology Dalian China.
Yongjia ZhangMechanical Engineering International Institute for Carbon Neutral Energy Research Kyushu University Fukuoka Japan.
Peiliang SunState Key Laboratory of Fine Chemicals School of Chemical Engineering Dalian University of Technology Dalian China.
Chong PengState Key Laboratory of Fine Chemicals School of Chemical Engineering Dalian University of Technology Dalian China.ORCID https://orcid.org/0000-0002-0593-3083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The significant increase in demand for fuels and chemicals driven by global economic expansion has exacerbated concerns over fossil fuel consumption and environmental pollution. To achieve sustainable production of fuels and chemicals, biomass resources provide a rich repository for carbon-neutral, green renewable energy, and organic carbon. This paper reviews the transformation and utilization of lignocellulosic biomass and its derivatives, emphasizing their valorization into high-quality chemicals and biofuels. The advantages and disadvantages of various pretreatment methods are discussed based on the composition of lignocellulose. Furthermore, the methods and pathways for the valorization and conversion of cellulose, hemicellulose, and lignin are detailed according to the unique functional groups of different lignocellulosic platform molecules. However, the complex and resilient structure of biomass presents challenges for the disassembly and utilization of single components, and achieving high yields and selectivity for target products remains difficult. In conclusion, this paper comprehensively reviews the various types and pretreatment technologies of lignocellulose, focusing on the methods and pathways for the valorization of lignocellulosic biomass and its derivatives, thereby providing clear guidance and insights for optimizing lignocellulose utilization in the future.

Indexed as

biomass conversionbiomass value‐addedlignocelluloselignocellulose pretreatmentplatform chemicals

Identifiers

PMID40626279
PMCPMC12118195

What OpenQuestion holds

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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.