ArticleFoods (Basel, Switzerland)2024
Comparison of an Ultrasound-Assisted Aqueous Two-Phase System Extraction of Anthocyanins from Pomegranate Pomaces by Utilizing the Artificial Neural Network-Genetic Algorithm and Response Surface Methodology Models.
Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Ultrasound-assisted deep eutectic solvent extraction of ginseng folium polysaccharides: Extraction mechanism, process optimization, structural characterization, and in vitro biological activity.Ultrasonics sonochemistry · 2026Article
- Ultrasound-assisted extraction of bioactive compounds from pomegranate peel and seed: A comprehensive review of key parameters and optimization strategies.Ultrasonics sonochemistry · 2026Review
- Extraction and Processing of Bioactive Phytoconstituents from Widely Used South African Medicinal Plants for the Preparation of Effective Traditional Herbal Medicine Products: A Narrative Review.Plants (Basel, Switzerland) · 2025Review
- Comparison of different green extraction methods used for the extraction of anthocyanin from red onion skin.Food science & nutrition · 2024Article
- Article
- A Review of Quantitative and Topical Analysis of Anthocyanins in Food.Molecules (Basel, Switzerland) · 2024Review
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4 authors.
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Abstract
As a by-product of pomegranate processing, the recycling and reuse of pomegranate pomaces (PPs) were crucial to environmentally sustainable development. Ultrasound-assisted aqueous two-phase extraction (UA-ATPE) was applied to extract the anthocyanins (ACNs) from PPs in this study, and the central composite design response surface methodology (CCD-RSM) and artificial neural network-genetic algorithm (ANN-GA) models were utilized to optimize the extraction parameters and achieve the best yield. The results indicated that the ANN-GA model built for the ACN yield had a greater degree of fit and accuracy than the RSM model. The ideal model process parameters were optimized to have a liquid-solid ratio of 49.0 mL/g, an ethanol concentration of 28 g/100 g, an ultrasonic time of 27 min, and an ultrasonic power of 330 W, with a maximum value of 86.98% for the anticipated ACN yield. The experimental maximum value was 87.82%, which was within the 95% confidence interval. A total of six ACNs from PPs were identified by utilizing UHPLC-ESI-HRMS/MS, with the maximum content of cyanidin-3-O-glucoside being 57.01 ± 1.36 mg/g DW. Therefore, this study has positive significance for exploring the potential value of more by-products and obtaining good ecological and economic benefits in the future.
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