ReviewMikrochimica acta2026
Deep eutectic solvent-based extraction and recovery of phenolic compounds: From conventional media to switchable recovery strategies.
Review in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
8 authors.
Funding
Abstract
Phenolic compounds are widely distributed in plant-derived matrices and are important targets in food, pharmaceutical, agricultural, and biomass-utilization fields. Their reliable determination depends strongly on efficient sample preparation, but conventional organic solvent extraction often raises concerns related to solvent consumption, toxicity, selectivity, and sample-cleanup burden. Deep eutectic solvents (DESs) have been widely explored as tunable extraction media for phenolic compounds because their polarity, viscosity, hydrogen-bonding capacity, and solvation behavior can be adjusted by changing the hydrogen-bond acceptor, hydrogen-bond donor, molar ratio, and water content. However, conventional DES systems still face important limitations, including slow mass transfer caused by high viscosity, difficulty in solvent removal due to low volatility, incomplete analyte recovery, and possible interference with chromatographic or mass-spectrometric analysis. This review summarizes conventional DES-based extraction of phenolic compounds as the baseline, and then focuses on responsive switchable DESs (RS-DESs) as recovery-oriented solvent systems. RS-DESs can undergo reversible changes in phase behavior, polarity, miscibility, or solvation ability in response to temperature, pH, CO
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Registered trials
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.