Evidence map›Paper›PMID 34441481›Full record

ArticleFoods (Basel, Switzerland)2021

Ultrasound Processing of Vinegar: Modelling the Impact on Bioactives and Other Quality Factors.

Seydi Yıkmış, Filiz Aksu, Sema Sandıkçı Altunatmaz, Başak Gökçe Çöl

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Seydi YıkmışDepartment of Food Technology, Tekirdag Namık Kemal University, 59830 Tekirdag, Turkey.ORCID 0000-0001-8694-0658
Filiz AksuFood Processing Department, Faculty of Veterinary Medicine Vocational High School, Istanbul University-Cerrahpaşa, 34000 Istanbul, Turkey.
Sema Sandıkçı AltunatmazFood Processing Department, Faculty of Veterinary Medicine Vocational High School, Istanbul University-Cerrahpaşa, 34000 Istanbul, Turkey.
Başak Gökçe ÇölDepartment of Nutrition and Dietetics, İstanbul Gelisim University, Avcılar, 34000 Itanbul, Turkey.ORCID 0000-0002-7627-9867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, non-thermal technology has been used for the enrichment of ultrasound bioactive components. For this purpose, it was applied to tomato vinegar and modeled with response surface methodology (RSM) and artificial neural network (ANN). At the end of the RSM, cupric reducing antioxidant capacity (68.64%), 1,1-diphenyl-2-picrylhydrazyl (62.47%), total flavonoid content (2.44 mg CE/mL), total phenolic content (12.22 mg GAE/mL), total ascorbic acid content (2.53 mg/100 mL) and total lycopene (5.44 μg/mL) were determined. The ANN model has higher prediction accuracy than RSM. The microstructure, microbiological properties, sensory analysis, ACE (angiotensin-converting-enzyme) inhibitor and antidiabetic effects of the ultrasound-treated tomato vinegar (UTV) (8.9 min and 74.5 amplitude), traditional tomato vinegar (TTV) and pasteurized tomato vinegar (PTV) samples were then evaluated. UTV was generally appreciated by the panelists. It was determined that the microbiological properties were affected by the ultrasound treatment. UTV was found to have more effective ACE inhibitor and antidiabetic properties than other vinegar samples. As a result, the bioactive components of tomato vinegar were enriched with ultrasound treatment and positive effects on health were determined.

Indexed as

ACE inhibitorantidiabeticartificial neural networkresponse surface methodologyultrasoundvinegar

Identifiers

PMID34441481
PMCPMC8393824

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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.