Evidence map›Paper›PMID 42683340›Full record

ArticleFrontiers in nutrition2026

Machine learning-guided green ultrasound processing enhances polyphenols, antioxidant capacity, and

Burcu Çakmak Sancar, Deniz Aktaran Bala, Selinay Demirel, Remzi Gürfidan, Seydi Yıkmış, Oğuzhan Kilim, Enes Açıkgözoğlu, Mehmet Ali Şimşek, Nazan Tokatlı Demirok, Marwa Ezz El-Din Ibrahim and 1 more

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Article in Frontiers in nutrition, 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
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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

11 authors.

Burcu Çakmak SancarDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Esenyurt University, Istanbul, Türkiye.
Deniz Aktaran BalaDepartment of Food Processing, Vocational School of Veterinary Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Selinay DemirelDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Tekirdağ Namık Kemal University, Tekirdağ, Türkiye.
Remzi GürfidanIsparta Vocational School of Information Technologies, Isparta University of Applied Sciences, Isparta, Türkiye.
Seydi YıkmışDepartment of Food Technology, Tekirdağ Namık Kemal University, Tekirdağ, Türkiye.
Oğuzhan KilimDepartment of Software Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül University, Bandırma, Türkiye.
Enes AçıkgözoğluIsparta Vocational School of Information Technologies, Isparta University of Applied Sciences, Isparta, Türkiye.
Mehmet Ali ŞimşekDepartment of Software Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül University, Bandırma, Türkiye.
Nazan Tokatlı DemirokDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Tekirdağ Namık Kemal University, Tekirdağ, Türkiye.
Marwa Ezz El-Din IbrahimDepartment of Food and Nutrition Sciences, College of Agricultural and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia.
Nazlı TokatlıDepartment of Computer Engineering, Faculty of Engineering and Natural Sciences, Istanbul Health and Technology University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Black fig vinegar is a functional fermented product rich in phenolic compounds and antioxidants; however, conventional thermal pasteurization may reduce its bioactive composition and functional quality. Although ultrasound processing has emerged as a promising non-thermal alternative, its optimization, predictive modeling, and influence on the

Indexed as

bioaccessibilityblack fig vinegarfunctional foodsgreen processingmachine learningpolyphenolsultrasound processing

Identifiers

PMID42683340
PMCPMC13532048

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.