Evidence map›Paper›PMID 36429245›Full record

ArticleFoods (Basel, Switzerland)2022

Optimization of Ultrasonic Extraction of Nutraceutical and Pharmaceutical Compounds from Bee Pollen with Deep Eutectic Solvents Using Response Surface Methodology.

Saffet Çelik, Naciye Kutlu, Yusuf Can Gerçek, Sinan Bayram, Ravi Pandiselvam, Nesrin Ecem Bayram

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Saffet ÇelikTechnology Research and Development Application and Research Center, Trakya University, Edirne 22030, Turkey.ORCID 0000-0002-4225-2471
Naciye KutluDepartment of Food Processing, Aydıntepe Vocational College, Bayburt University, Bayburt 69500, Turkey.
Yusuf Can GerçekCentre for Plant and Herbal Products Research-Development, Istanbul 34134, Turkey.ORCID 0000-0001-5372-0229
Sinan BayramDepartment of Medical Services and Techniques, Vocational School of Health Services, Bayburt University, Bayburt 69000, Turkey.ORCID 0000-0002-2156-1566
Ravi PandiselvamPhysiology, Biochemistry and Post-Harvest Technology Division, ICAR-Central Plantation Crops Research Institute (CPCRI), Kasaragod 671124, India.ORCID 0000-0003-0996-8328
Nesrin Ecem BayramDepartment of Food Processing, Aydıntepe Vocational College, Bayburt University, Bayburt 69500, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there has been increasing interest in green extraction methods and green solvents due to their many advantages. In this study, the effects of an ultrasonic extraction method and deep eutectic solvents (DESs) on the extraction of different bioactive substances from bee pollen were investigated. In this regard, the effects of process variables such as the molar ratio of the DES (1, 1.5, and 2), sonication time (15, 30, and 45 min), and ultrasonic power (90, 135 and 180 W) on total individual amino acids, total individual organic acids, and total individual phenolic compounds were investigated by response surface methodology (RSM). The optimal conditions were found to be a molar ratio of 2, sonication time of 45 min, and ultrasonic power of 180 W (R

Indexed as

bee pollengreen extractiongreen solventoptimization

Identifiers

PMID36429245
PMCPMC9689732

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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.