Optimization of Bioactive Compound Extraction from <i>Prunus spinosa</i> L. Fruits Using Ultrasound-Assisted Extraction with Food-Grade Glycerin: A Combined RSM–ANN Approach

Within the framework of green chemistry and wild fruit valorization, this study optimizes the extraction of bioactive compounds from <i>Prunus spinosa</i> L. fruits using glycerin-based ultrasound-assisted extraction (UAE). Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) were...

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Bibliografische Detailangaben

Hauptverfasser:	Asmaa Berkati, Nadir Ben Hamiche, Amina Kribeche, Louiza Himed, Salah Merniz, Maria D’Elia, Rita Celano, Luca Rastrelli
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-02-01
Schriftenreihe:	Antioxidants
Schlagworte:	blackthorn (<i>Prunus spinosa</i> L.) food-grade glycerin ultrasound-assisted extraction bioactive compounds UHPLC-DAD-HRMS/MS RSM–ANN modeling
Online-Zugang:	https://www.mdpi.com/2076-3921/15/2/202
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