Evidence map›Paper›PMID 37323858›Full record

Review3 Biotech2023

`A critical review on current status and environmental sustainability of pre-treatment methods for bioethanol production from lignocellulose feedstocks.

Alice Jasmine David, Sudharsanam Abinandan, Vinoth Kumar Vaidyanathan, Chunbao Charles Xu, Tamilarasan Krishnamurthi

Abstract readReview
In one paragraph

Review in 3 Biotech, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Alice Jasmine DavidDepartment of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203 India.
Sudharsanam AbinandanGlobal Centre for Environmental Remediation, University of Newcastle, Callaghan, NSW 2308 Australia.
Vinoth Kumar VaidyanathanDepartment of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203 India.
Chunbao Charles XuDepartment of Chemical and Biochemical Engineering, Western University, London, ON N6A 5B9 Canada.
Tamilarasan KrishnamurthiDepartment of Chemical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu 603203 India.ORCID 0000-0003-4816-6141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulosic biomass resource has been widely used as a natural resource for the synthesis of biofuels and bio-based products through pre-treatment, saccharification and fermentation processes. In this review, we delve into the environmental implications of bioethanol production from the widely utilized lignocellulosic biomass resource. The focus of our study is the critical stage of pre-treatment in the synthesis process, which also includes saccharification and fermentation. By collecting scientific data from the available literature, we conducted a comprehensive life cycle analysis. Our findings revealed substantial differences in the environmental burdens associated with diverse pre-treatment methods used for lignocellulosic biomass. These results highlight the importance of selecting environmentally benign pre-treatment techniques to promote the sustainability of bioethanol production. Future research directions are suggested, emphasizing the optimization of pre-treatment processes to further mitigate their environmental impact.

Indexed as

Environmental sustainabilityLife cycle assessmentLignocellulose biomass: bioethanolPretreatment methods

Identifiers

PMID37323858
PMCPMC10260725

What OpenQuestion holds

Textmetadata
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.