ArticleScientific reports2024
Optimization of ultrasound-aided extraction of bioactive ingredients from Vitis vinifera seeds using RSM and ANFIS modeling with machine learning algorithm.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 44 citations in OpenAlex.
- Integrating Machine Learning and Microwave-Assisted Green Extraction: Total Colorimetric Response Assay-Based Optimization ofMolecules (Basel, Switzerland) · 2026Article
- Predicting Bioactive Compounds inFoods (Basel, Switzerland) · 2026Article
- Comparative analysis of ANFIS, ANN, and BBD for enhanced prediction of methyl orange adsorption in water treatment.Scientific reports · 2026Article
- Machine learning-driven optimization of extraction process and development of quality standards for traditional Chinese medicine (TCM) formulae in primary liver cancer.RSC advances · 2026Article
- Machine learning-assisted optimization of ultrasound-ohmic processing of hawthorn vinegar: antidiabetic activity, phenolic profiling, and molecular docking insights.Frontiers in nutrition · 2026Article
- Flavonoids: biological activities, nutritional and immunological aspects, therapeutic potential, food applications, and human health benefits-A comprehensive review.Frontiers in nutrition · 2026Review
- Machine learning guided virtual screening of FDA approved drugs targeting GSK-3β in Alzheimer's disease.Scientific reports · 2025Article
- Modeling and Optimization of Ultrasound-Assisted Extraction of Antioxidants from Yerba Mate (Ilex paraguariensis St. Hill) Using Artificial Neural Networks and ANFIS.Applied biochemistry and biotechnology · 2025Article
- Betulinic Acid-EnrichedAntioxidants (Basel, Switzerland) · 2025Article
- Synergistic Effects of Antioxidant Blends: A Comparative Study on Oxidative Stability of Lipids in Feed Matrices.Antioxidants (Basel, Switzerland) · 2025Article
- Sustainable extraction of phytochemicals from Mentha arvensis using supramolecular eutectic solvent via microwave Irradiation: Unveiling insights with CatBoost-Driven feature analysis.Ultrasonics sonochemistry · 2025Article
- The Bioaccessibility of Grape-Derived Phenolic Compounds: An Overview.Foods (Basel, Switzerland) · 2025Review
- The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini).Ultrasonics sonochemistry · 2025Article
- Antimicrobial Polymer Films with Grape Seed and Skin Extracts for Food Packaging.Microorganisms · 2024Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant materials are a rich source of polyphenolic compounds with interesting health-beneficial effects. The present study aimed to determine the optimized condition for maximum extraction of polyphenols from grape seeds through RSM (response surface methodology), ANFIS (adaptive neuro-fuzzy inference system), and machine learning (ML) algorithm models. Effect of five independent variables and their ranges, particle size (X
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Registered trials
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