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Cited by 257

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Choline chloride-based deep eutectic solvents as green extractants for the isolation of phenolic compounds from biomass

Alam, Md. Asraful, Muhammad, Gul, Khan, M. Nuruzzaman, Mofijur, M., Lv, Yongkun, Xiong, Wenlong, Xu, Jingliang·2021·Journal of Cleaner Production

Abstract

Abstract Bioresource valorization to obtain valuable phenolic compounds for medicinal, nutraceutical, food, and cosmetic applications are critical for a current and future sustainable and bio-based economy. Renewable, environmentally friendly, and non-toxic choline chloride-based deep eutectic solvents are the newest and utmost environmentally friendly alternatives to conventional organic solvents for the pretreatment and extraction of phenolic compounds. Recently, numerous studies have focused on phenolic compound extraction using choline chloride-based deep eutectic solvents as solvents or catalysts. Process variable optimization has been reported in terms of kinetic modeling and mechanisms involved in phenolic compounds extraction. This paper describes the cutting-edge methods used to extract phenolic compounds from different bio-based sources using choline chloride-based deep eutectic solvents. In addition, the factors affecting, kinetic models, and mechanisms involved in phenolic compound extraction using choline chloride-based deep eutectic solvents are thoroughly summarized. Moreover, future predictions, challenges, and anticipated growth in this field are addressed and can be used for biomass valorization.

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Crossref · 10.1016/j.jclepro.2021.127445

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Metadata

Authors
Alam, M. A., Muhammad, G., Khan, M. N., Mofijur, M., Lv, Y., Xiong, W., & Xu, J.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2021-08
Volume
309
Pages
127445
ISSN
0959-6526 (ISSN-L)
OpenAlex
W3159985238
Cited by
257
References
19
FWCI
7.37
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.