Evidence map›Paper›PMID 39290274›Full record

ArticleHeliyon2024

Assessment of the impact of cold plasma technology on physicochemical properties of corn starch flour and the associated modified corn starch incorporated into milk dessert.

Hannaneh Bahmanpour, Narmela Asefi, Aynaz Alizadeh, Sajad Pirsa

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hannaneh BahmanpourDepartment of Food Science and Technology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Narmela AsefiDepartment of Food Science and Technology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Aynaz AlizadehDepartment of Food Science and Technology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Sajad PirsaDepartment of Food Science and Technology, Faculty of Agriculture, Urmia University, Urmia, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of cold plasma can be used as an alternative method to modify the properties of starch. This research aimed to examine the use of cold plasma technology to alter the structure of corn starch and investigate how its functionality could be improved using a food model (milk dessert). Modified corn starch by plasma technology under different gas contents (dielectric-barrier discharge (DBD)) (95 % argon+5 % hydrogen (DBD1) and 90 % argon+10 % oxygen (DBD2)) was compared to the control sample of corn starch. The physicochemical characteristics of modified corn starch, DSC, XRD, SEM and FTIR tests were evaluated. The findings demonstrated that corn starch had significantly higher solubility, transparency, ash, oil absorption capacity (OAC), and resistant starch (RS) when exposed to cold plasma under the test circumstances compared to the control sample. SEM analysis confirmed that plasma affected the surface of starch granules, making the surface changes more pronounced when oxygen was added to the treatment. It was concluded that the sample should be treated with plasma containing 90 % argon and 10 % oxygen (as the best sample). The best sample (modified corn starch) was used to prepare a milk dessert as a food model, and considerable differences were found between the modified starch treated sample and control samples in terms of moisture, brix, syneresis, and organoleptic properties (p < 0.05).

Indexed as

Cold plasmaCorn starchEnrichment foodsMilk dessertPhysicochemical properties

Identifiers

PMID39290274
PMCPMC11407043

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.