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Preparation of Binary and Ternary Deep Eutectic Systems
Published on: October 31, 2019
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Deep Eutectic Solvent Systems as Media for the Selective Extraction of Anti-Inflammatory Bioactive Agents.
Beatriz Giner1, Estela Sangüesa1, Estefania Zuriaga1
1Facultad de Ciencias de la Salud, Universidad San Jorge, Campus Universitario, Autov. A23 km 299, Villanueva de Gállego, 50830 Zaragoza, Spain.
Molecules (Basel, Switzerland)
|August 28, 2025
Summary
Deep eutectic systems (DESs) offer efficient and sustainable methods for extracting anti-inflammatory bioactive compounds. This review details DES applications, highlighting choline chloride-based and natural product-based systems for enhanced compound recovery.
Area of Science:
- Green Chemistry
- Natural Product Chemistry
- Biotechnology
Background:
- Bioactive compounds (BCs) offer health benefits beyond nutrition but require efficient extraction.
- Extraction of anti-inflammatory BCs is crucial for their therapeutic application.
- Deep eutectic systems (DESs) are emerging as promising extraction media.
Purpose of the Study:
- To review the extraction of anti-inflammatory bioactive compounds using deep eutectic systems (DESs).
- To categorize DES extraction media and analyze factors influencing extraction yields.
- To highlight the advantages and limitations of DESs for sustainable bioactive compound extraction.
Main Methods:
- Literature review of studies employing DESs for anti-inflammatory bioactive compound extraction.
- Categorization of DESs into choline chloride-based and natural product-based systems.
- Analysis of extraction yields based on DES composition and extraction methods.
Main Results:
- DES extraction media are primarily choline chloride-based or natural product-based.
- Extraction yields vary significantly (0.02–200 mg/g) depending on DES composition and method.
- Specific examples include curcumin (23.1 mg/g) and rutin (200 mg/g) extraction.
Conclusions:
- DESs demonstrate significant advantages in extraction efficiency and environmental sustainability.
- Optimal DES selection requires consideration of factors like composition and method.
- Further research is needed to overcome existing limitations in DES applications.
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