Evidence map›Paper›PMID 37324861›Full record

ArticleFood science & nutrition2023

Characteristics of reduced-fat mayonnaise prepared by oleaster as a fat replacer and natural antioxidant.

Zahra Roshandel, Rezvan Zibaei, Khadije Abdolmaleki

Open access · hybridAbstract read
In one paragraph

Article in Food science & nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Zahra RoshandelStudent Research Committee, Department of Food Science and Technology, School of Nutrition Sciences and Food Technology Kermanshah University of Medical Sciences Kermanshah Iran.
Rezvan ZibaeiStudent Research Committee, Department of Food Science and Technology, School of Nutrition Sciences and Food Technology Kermanshah University of Medical Sciences Kermanshah Iran.
Khadije AbdolmalekiResearch Center of Oils and Fats Kermanshah University of Medical Sciences Kermanshah Iran.ORCID https://orcid.org/0000-0002-8329-9591
Kermanshah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the disadvantages of consuming fat and synthetic preservatives, the demand to reduce them in lipid-based products like mayonnaise is increasing. In the current research, there were two goals, the first one was studying the effect of using oleaster flour in different concentrations (4%, 6%, and 8%) as a natural preservative, whereas the second one was studying the effect of oleaster as different fat replacement (FR) levels (10%, 20%, 30%, and 40%) on the physicochemical, antioxidant, and the rheological properties and stability of reduced-fat mayonnaise samples. Given results showed that with increasing the oleaster concentration, the antioxidant property increased significantly. The peroxide value after 60 days of storage for the 30% FR 8 was 2.01%, compared to the control sample without antioxidant and with TBHQ, which were 10% and 2.68%, respectively. The highest stability index (100%) was observed in the 30% FR and 40% FR samples. In terms of rheological characteristics, the 30% FR 8 oleaster showed the highest viscosity and the lowest frequency dependency. It can be concluded that oleaster has a high potential to be used in the formulation of low-fat mayonnaise as a fat replacer.

Indexed as

fat substitutelow‐fat mayonnaisenatural preservativerheological propertiesstability

Identifiers

PMID37324861
PMCPMC10261786
OpenAlexW4380870633

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.