Identification and characterisation of phenolic compound extracted from tunisian olive mill wastewater (OMWW) among different varieties, regions and industrial model extraction process

The study explores the influence of industrial extraction methods and olive varieties on the phenolic content and composition of Tunisian olive mill wastewater (OMWW). Two extraction techniques, maceration and liquid-liquid extraction, were employed along with various industrial procedures, including mechanical extraction and modern techniques such as two-phase and three-phase decanter systems. Notably, the industrial three-phase methods (e.g. Pieralisi, Alphalaval, Amenduni) yielded significantly higher phenolic concentrations, ranging from 0.15 to 2.80 g/L, in comparison to traditional processes, which produced lower levels of phenolics (0.06-0.77 g/L). The choice of olive variety was another determining factor, with the Pitchoulini variety displaying the highest phenolic concentration at 2.80 g/L. Through GC-MS analysis, key bioactive compounds were identified, including hydroxytyrosol, ferulic acid, tyrosol, and syringic acid. Overall, hydroxytyrosol and tyrosol were the most prominent phenolic compounds, with higher concentrations found in Pitchoulini and Koroneiki varieties.

Authors

Institutions

Publication Details

Journal
Natural Product Research
Published
2025-10-23
DOI
https://doi.org/10.1080/14786419.2025.2574553
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and characterisation of phenolic compound extracted from tunisian olive mill wastewater (OMWW) among different varieties, regions and industrial model extraction process

Mhamed Ben Messaouda, Sameh Trabelsi, Hanna Fattoum, Aïcha O. Cherif
Natural Product Research
Edible Oils Quality and Analysis
article

Identification and characterisation of phenolic compound extracted from tunisian olive mill wastewater (OMWW) among different varieties, regions and industrial model extraction process

Mhamed Ben Messaouda, Sameh Trabelsi, Hanna Fattoum, Aïcha O. Cherif
article en

Abstract

The study explores the influence of industrial extraction methods and olive varieties on the phenolic content and composition of Tunisian olive mill wastewater (OMWW). Two extraction techniques, maceration and liquid-liquid extraction, were employed along with various industrial procedures, including mechanical extraction and modern techniques such as two-phase and three-phase decanter systems. Notably, the industrial three-phase methods (e.g. Pieralisi, Alphalaval, Amenduni) yielded significantly higher phenolic concentrations, ranging from 0.15 to 2.80 g/L, in comparison to traditional processes, which produced lower levels of phenolics (0.06-0.77 g/L). The choice of olive variety was another determining factor, with the Pitchoulini variety displaying the highest phenolic concentration at 2.80 g/L. Through GC-MS analysis, key bioactive compounds were identified, including hydroxytyrosol, ferulic acid, tyrosol, and syringic acid. Overall, hydroxytyrosol and tyrosol were the most prominent phenolic compounds, with higher concentrations found in Pitchoulini and Koroneiki varieties.

Natural Product Research
University of Carthage (TN), University of Gafsa (TN)
Openalex Percentile: Top 77%
Edible Oils Quality and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identification and characterisation of phenolic compound extracted from tunisian olive mill wastewater (OMWW) among different varieties, regions and industrial model extraction process — Mhamed Ben Messaouda, Sameh Trabelsi, et al. · Natural Product Research (2025) | TGRS Research Map | TGRS