Evidence map›Paper›PMID 38268909›Full record

ArticleFood science & nutrition2024

Enhancement of nutritional quality and shelf life of fish products (powder & chapatti) via fortifying with orange-fleshed sweet potato.

Habtamu Birhanu Mekonnen, Tewodros Birhanu Aychiluhm

Open access · hybridAbstract read
In one paragraph

Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Habtamu Birhanu MekonnenDepartment of Chemistry (Food and Sugar Technology Stream), College of Natural and Computational Sciences Arba Minch University Arba Minch Ethiopia.
Tewodros Birhanu AychiluhmDepartment of Chemistry (Food and Sugar Technology Stream), College of Natural and Computational Sciences Arba Minch University Arba Minch Ethiopia.ORCID https://orcid.org/0000-0001-5689-4910
Arba Minch University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite its high protein, fat, and mineral contents, fish contains trace amounts of carbohydrates and vitamins, notably vitamin A. The perishable nature of fresh fish makes it challenging to store for a prolonged time, necessitating the use of additives to enhance its shelf life, nutritional, and other quality aspects. Sweet potatoes are the preferred option to blend with fish due to their cost and abundance. This study aims to prepare fortified fish powder and make food products (chapatti) using it. Fish powder and sweet potato powder were prepared by drying them in an oven at 60°C and 45°C, respectively. The two dried samples were then ground and mixed in various ratios, followed by analyzing their nutritional and other parameters using standard methods. Vitamin A and beta-carotene levels were analyzed using HPLC and UV-Vis spectroscopy techniques, respectively. The findings indicated that the outcomes displayed enhanced nutrition and extended storage capacity. The amount of beta-carotene (876.12 ± 14.76 to 3182.4 ± 123.1 μg/100 g) and carbohydrates (4.49 ± 1.02 to 52.31 ± 0.21) increased. The packed fortified flour is safe for human consumption for up to 90 days, as per the International Commission for Microbiological Specifications for Foods. The chapatti made from fortified flour was also deemed acceptable by the panelists.

Indexed as

beta‐carotenechapattifish powderfortificationsweet potato

Identifiers

PMID38268909
PMCPMC10804075
OpenAlexW4387704173

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.