NADES-based extraction of olive leaf phenolics using RSM, ANFIS and machine learning techniques

Key Points

• The goal is to develop an efficient technique for extracting total phenolics from olive leaves using a green solvent.
• Developed an extraction method using natural deep eutectic solvents (NADES)
• Validated the technique with response surface methodology (RSM)
• Applied adaptive neuro-fuzzy inference system (ANFIS) and random forest regressor for analysis
• Successfully extracted total phenolics from olive leaves using NADES
• Validated extraction efficiency through machine learning algorithms
• Indicated potential for eco-friendly extraction methods in phenolic compounds research