Evidence map›Paper›PMID 42851457›Full record

ArticleFrontiers in nutrition2026

Multi-objective optimization of ultrasound-assisted extraction for enhanced bioactive recovery from bee bread.

Meryem Akhan, Enes Açikgözoğlu, Mehmet Ali Şimşek, Seydi Yıkmış, Remzi Gürfidan, Filiz Aksu, Sema Sandıkçı Altunatmaz, Melikenur Türkol Gündüz, Emad Karrar, Moneera O Aljobair 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.

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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.

Meryem AkhanDepartment of Nutrition and Dietetics, Istanbul Esenyurt University, Istanbul, Türkiye.
Enes AçikgözoğluIsparta Vocational School of Information Technologies, Cloud Computing Operator, Isparta University of Applied Sciences, Isparta, Türkiye.
Mehmet Ali ŞimşekDepartment of Software Engineering, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül University, Bandırma, Balikesir, Türkiye.
Seydi YıkmışDepartment of Food Technology, Tekirdag Namik Kemal University, Tekirdag, Türkiye.
Remzi GürfidanIsparta Vocational School of Information Technologies, Cloud Computing Operator, Isparta University of Applied Sciences, Isparta, Türkiye.
Filiz AksuDepartment of Food Processing, Vocational School of Veterinary Medicine, Istanbul University-Cerrahpasa, Avcilar, Istanbul, Türkiye.
Sema Sandıkçı AltunatmazDepartment of Food Processing, Vocational School of Veterinary Medicine, Istanbul University-Cerrahpasa, Avcilar, Istanbul, Türkiye.
Melikenur Türkol GündüzNutrition and Dietetics, Faculty of Health Sciences, Tekirdag Namik Kemal University, Tekirdag, Türkiye.
Emad KarrarDepartment of Plant Sciences, North Dakota State University, Fargo, ND, United States.
Moneera O AljobairDepartment of Sports Health, College of Sports Sciences and Physical Activity, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Isam A Mohamed AhmedDepartment of Food Sciences and Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to optimize ultrasound-assisted extraction conditions for improving the recovery of phenolic compounds and antiradical activity from bee bread (perga). A three-factor Box-Behnken design comprising ultrasound amplitude (30-70%), extraction time (8-22 min), and ethanol concentration (20-80%, v/v) was combined with Gaussian Process surrogate modeling and a single-cycle GP-based multi-objective Bayesian optimization (GP-MOBO) candidate-selection strategy. Predictive uncertainty and Pareto-based analysis were used to identify a balanced extraction condition, which was subsequently validated experimentally and compared with an NUS and conventional extraction treatments. The selected ultrasound-assisted extraction condition (UAEopt; 56.5% amplitude, 19.0 min, and 56.8% ethanol) yielded a total phenolic content of 17.32 mg GAE/g, compared with 11.76 mg GAE/g in the matched NUS (

Indexed as

bee breadGaussian process modelingmulti-objective Bayesian optimizationphenolic compoundsultrasound-assisted extraction

Identifiers

PMID42851457
PMCPMC13645694

What OpenQuestion holds

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Registered trials

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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.