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Supramolecular solvent-based extraction (SUPRAS) stands out as a promising approach, particularly due to its environmentally friendly and efficient charact
Anja Vučetić, Lato Pezo, Olja Šovljanski, Jelena Vulić, Vanja Travičić, Gordana Ćetković, Jasna Čanadanović‐Brunet
Processes · 2024 · https://doi.org/10.3390/pr12071451
Supramolecular solvent-based extraction (SUPRAS) stands out as a promising approach, particularly due to its environmentally friendly and efficient characteristics. This research explores the optimization of SUPRAS extraction for sango radish and kale microgreens, focusing on enhancing the extraction efficiency. The Taguchi experimental design and artificial neural network (ANN) modeling were utilized to systematically optimize extraction parameters (ethanol content, SUPRAS: equilibrium ratio, centrifugation rate, centrifugation time, and solid-liquid ratio). The extraction efficiency was evaluated by measuring the antioxidant activity (DPPH assay) and contents of chlorophylls, carotenoids, phenolics, and anthocyanidins. The obtained results demonstrated variability in phytochemical contents and antioxidant activities across microgreen samples, with the possibility of achieving high extraction yields using the prediction of optimized parameters. The optimal result for sango radish can be achieved at an ethanol content of 35.7%; SUPRAS: equilibrium ratio of 1 v/v, centrifugation rate of 4020 rpm, centrifugation time of 19.84 min, and solid-liquid ratio of 30.2 mg/mL. The following parameters are predicted for maximal extraction efficiency for kale: ethanol content of 35.64%; SUPRAS: equilibrium ratio of 1 v/v; centrifugation rate of 3927 rpm; centrifugation time of 19.83 min; and solid-liquid ratio of 30.4 mg/mL. Additionally, laboratory verification of predicted SUPRAS parameters showed very low divergency degrees for both microgreens (–3.09 to 2.36% for sango radish, and −2.57 to 3.58% for kale). This potential of SUPRAS extraction, coupled with statistical and computational optimization techniques, can enhance the recovery of valuable bioactive compounds from microgreens and contribute to green extraction applications.
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Anja Vučetić; Lato Pezo; Olja Šovljanski; Jelena Vulić; Vanja Travičić; Gordana Ćetković; Jasna Čanadanović‐Brunet (2024). Supramolecular Solvent-Based Extraction of Microgreens: Taguchi Design Coupled-ANN Multi-Objective Optimization. Processes. https://doi.org/10.3390/pr12071451 Licensed under Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/). Hosted by EVEC Athens (microgreens.org.gr). No changes were made to this article. Provided as-is, without warranties. EVEC Athens is not affiliated with, and this copy is not endorsed by, the authors or the publisher.
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