Evidence map›Paper›PMID 42738622›Full record

ReviewMolecules (Basel, Switzerland)2026

Emerging Extraction Technologies and Molecular Implications for Greek Olive Products: A Commentary.

Vassilis Athanasiadis

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Vassilis AthanasiadisDepartment of Food Science and Nutrition, University of Thessaly, Terma N. Temponera Street, 43100 Karditsa, Greece.ORCID 0000-0002-8707-8809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in non-thermal and hybrid extraction technologies-such as pulsed electric field (PEF), ultrasound-assisted extraction (UAE), microwave-assisted extraction (MAE), and enzymatic treatments-have been widely reviewed in the context of general food processing. However, the current literature lacks a critical evaluation of how these modalities reshape the molecular fingerprints, authenticity markers, and cultivar-specific phenolic baselines of olive products, particularly within the Greek production landscape. Existing studies primarily emphasize extraction yield, operational parameters, or sustainability aspects, leaving important gaps regarding molecular consequences, including shifts in secoiridoids, lignans, pigments, oxidation markers, and the composition of by-products such as olive mill wastewater and pomace. This commentary addresses these gaps by integrating emerging extraction technologies with Greece's omics-enabled analytical capacity (FoodOmicsGR_RI), highlighting how processing innovations may influence authenticity claims, phenolic integrity, and circular economy valorization routes. We discuss mechanistic pathways, molecular-level effects, and technology-specific limitations and propose a structured framework for developing national databases of processing-induced molecular markers. By linking technological mechanisms with cultivar-dependent molecular responses, this commentary aims to support coordinated Greek research efforts toward robust authenticity assurance, sustainable processing, and high-value valorization of olive by-products under evolving climatic and industrial pressures.

Indexed as

Food HandlingOleaPlant ExtractsGreecePhenolsPhenolsPlant Extractsantioxidantscircular economyGreek cultivarsolive by-productsolive oil qualityphenolicsprocessing effectspulsed electric fieldquality markerssustainability

Identifiers

PMID42738622
PMCPMC13567333

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.