Predicting lignin removal efficiency in deep eutectic solvent-based biomass fractionation: an explainable machine learning approach

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Publication Details

Journal
Green Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5gc02370j
Citations
3
Primary Topic
Lignin and Wood Chemistry
Type
article
Field-Weighted Citation Impact
2.02

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article

Predicting lignin removal efficiency in deep eutectic solvent-based biomass fractionation: an explainable machine learning approach

Yue Bai, Babbiker Mohammed Taher Gorish, Wenqian Dang, Daochen Zhu et al.
3 citations
Green Chemistry
Lignin and Wood Chemistry
2.02
article

Predicting lignin removal efficiency in deep eutectic solvent-based biomass fractionation: an explainable machine learning approach

Yue Bai, Babbiker Mohammed Taher Gorish, Wenqian Dang, Daochen Zhu, Waha Ismail Yahia Abdelmula, Zijing Zhong
article en
3 citations

Abstract

No abstract available for this paper.
Green ChemistryVol. 27(36)
Suzhou University of Science and Technology (CN), Synthetic Biologics (United States) (US)
National Key Research and Development Program of China
Responsible consumption and production
Openalex Percentile: Top 13%
Lignin and Wood Chemistry
2.02
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