Evidence map›Paper›PMID 36320352›Full record

ArticleFood technology and biotechnology2022

Novel

Yvonne Maphosa, Victoria Adaora Jideani, Daniel Imwansi Ikhu-Omoregbe

Abstract read
In one paragraph

Article in Food technology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Yvonne MaphosaDepartment of Food Science and Technology, Cape Peninsula University of Technology, P.O. Box 1906, 7535 Bellville, South Africa.ORCID https://orcid.org/0000-0001-9124-338X
Victoria Adaora JideaniDepartment of Food Science and Technology, Cape Peninsula University of Technology, P.O. Box 1906, 7535 Bellville, South Africa.ORCID https://orcid.org/0000-0002-4550-6334
Daniel Imwansi Ikhu-OmoregbeDepartment of Chemical Engineering, Cape Peninsula University of Technology, P.O. Box 1906, 7535 Bellville, South Africa.ORCID https://orcid.org/0000-0002-9308-9221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research background: Bambara groundnut ( Experimental approach: The pasting properties by rapid visco analysis, chemical composition, hydration properties, oil-binding capacity, emulsifying activity index (EAI), emulsion stability index (ESI) and antioxidant properties of Bambara groundnut starch, soluble fibre and nanocomposite were studied. Results and conclusions: The Bambara groundnut soluble dietary fibre and nanocomposite did not exhibit typical pasting properties. The nanocomposite had high mass fraction of carbohydrates (78.7%) and proteins (7.0%), low mass fraction of fat (0.8%) and had a considerable mass fraction of ash (4.9%). The Bambara groundnut starch, soluble dietary fibre and nanocomposite showed significant (p<0.001) differences in solubility. Their EAI values were 23.2, 85.7 and 90.6%, respectively, and the ESI values were 23.3, 87.1 and 87.5%, respectively. The three biopolymers differed significantly (p<0.001) in all colour characteristics: lightness ( Novelty and scientific contribution: Nanocomposites have the potential to revolutionise the food industry but their study as food ingredients is very limited. Furthermore, nothing is known about the physicochemical, functional and antioxidant characteristics of Bambara groundnut nanocomposite, thus investigating these properties will address this knowledge gap.

Indexed as

antioxidant propertiesbambara groundnut nanocomposite and starchdietary fibre sourcepasting properties

Identifiers

PMID36320352
PMCPMC9590262

What OpenQuestion holds

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LicenceCC BY
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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.