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Cited by 644

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Green extraction of natural products. Origins, current status, and future challenges

Open access
Chemat, Farid, Abert-Vian, Maryline, Fabiano-Tixier, Anne Sylvie, Strube, Jochen, Uhlenbrock, Lukas, Gunjevic, Veronika, Cravotto, Giancarlo·2019·TrAC Trends in Analytical Chemistry

Abstract

Abstract Green extraction of natural products is based on design of extraction processes which will reduce or eliminate energy consumption and petroleum solvents, while ensuring a safe extract and quality. It is a concept to meet the challenges of the 21st century protecting both our environment and consumers, and in the meantime, enhance competition of academia and industries to be more ecologic, economic and innovative. This review will present definition, principles and current status of green extraction. We will discuss future challenges with applications in the agro-food sectors, cosmetics and perfumery, biofuels and fine chemicals.

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Registry

Crossref · 10.1016/j.trac.2019.05.037

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Metadata

Authors
Chemat, F., Abert-Vian, M., Fabiano-Tixier, A. S., Strube, J., Uhlenbrock, L., Gunjevic, V., & Cravotto, G.
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2019-09
Volume
118
Pages
248-263
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2946913469
Cited by
644
References
11
FWCI
22.47
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Green extraction of natural products. Origins, current status, and future challenges. https://app.cochat.ai/papers/10.1016/j.trac.2019.05.037
The paper
Chemat, F., Abert-Vian, M., Fabiano-Tixier, A. S., Strube, J., Uhlenbrock, L., Gunjevic, V., & Cravotto, G. (2019). Green extraction of natural products. Origins, current status, and future challenges. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2019.05.037

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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.