Evidence map›Paper›PMID 39519714›Full record

ReviewMolecules (Basel, Switzerland)2024

Computational Advances in Ionic Liquid Applications for Green Chemistry: A Critical Review of Lignin Processing and Machine Learning Approaches.

Brian R Taylor, Nikhil Kumar, Dhirendra Kumar Mishra, Blake A Simmons, Hemant Choudhary, Kenneth L Sale

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2024. 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

6 authors.

Brian R TaylorJoint BioEnergy Institute, Emeryville, CA 94608, USA.
Nikhil KumarJoint BioEnergy Institute, Emeryville, CA 94608, USA.ORCID 0000-0002-0490-4600
Dhirendra Kumar MishraJoint BioEnergy Institute, Emeryville, CA 94608, USA.ORCID 0000-0002-5730-7834
Blake A SimmonsJoint BioEnergy Institute, Emeryville, CA 94608, USA.ORCID 0000-0002-1332-1810
Hemant ChoudharyJoint BioEnergy Institute, Emeryville, CA 94608, USA.ORCID 0000-0003-2847-3080
Kenneth L SaleJoint BioEnergy Institute, Emeryville, CA 94608, USA.

Funding

U.S. Department of Energy, Office of Science, Biological and Environmental Research Program DE-AC02-05CH11231
6 · The paper itself

Abstract

The valorization and dissolution of lignin using ionic liquids (ILs) is critical for developing sustainable biorefineries and a circular bioeconomy. This review aims to critically assess the current state of computational and machine learning methods for understanding and optimizing IL-based lignin dissolution and valorization processes reported since 2022. The paper examines various computational approaches, from quantum chemistry to machine learning, highlighting their strengths, limitations, and recent advances in predicting and optimizing lignin-IL interactions. Key themes include the challenges in accurately modeling lignin's complex structure, the development of efficient screening methodologies for ionic liquids to enhance lignin dissolution and valorization processes, and the integration of machine learning with quantum calculations. These computational advances will drive progress in IL-based lignin valorization by providing deeper molecular-level insights and facilitating the rapid screening of novel IL-lignin systems.

Indexed as

biomass processingDensity Functional Theory (DFT)lignin depolymerizationlignocellulosic biorefineriesmultiscale modelingquantum chemistryreactive force fields (ReaxFF)solvent screening

Identifiers

PMID39519714
PMCPMC11547372

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.