RSM and ANN-based optimized ultrasound-assisted extraction of functional components from olive fruit (cv Arbequina): assessment of antioxidant attributes and GC-MS metabolites profiling

• 主要な著者: Ali, Liaqat, Anwar, Farooq, Qadir, Rahman, Batool, Fozia, Mustaqeem, Muhammad, Mohsin Ali, Rana
• フォーマット: 論文
• 出版事項: John Wiley and Sons 2024
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/114889/; https://onlinelibrary.wiley.com/doi/10.1002/cbdv.202400907

The current study devises an optimized ethanolic extraction for efficient recovery of high-value components from Pakistani olives (cv. Arbequina) using response surface methodology (RSM) and artificial neural networking (ANN). Four factors such as time, temperature, solvent concentration, and solute...