What question did this study set out to answer?

The goal is to develop an efficient technique for extracting total phenolics from olive leaves using a green solvent.

January 17, 2026Sustainable Food Technology0 citationsOpen Access

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

FBFatiha BrahmiUniversity of Béjaïa LRLokesh Kumar RamasamyVellore Institute of Technology University SKSelvaraj KunjiappanAlliance University

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

Abstract

An environmentally friendly technique was developed for recovering total phenolics (TPC) from olive leaves using NADES, and validated through adaptive neuro-fuzzy inference system (ANFIS) and random forest regressor machine learning (ML) algorithms.

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