Evidence map›Paper›PMID 42079012›Full record

ArticleFood science & nutrition2026

Valorization of Spent Millet Flour in Composite Bread: Characterization, Predictive Modeling, and Multi-Objective Optimization for Nutritional Enhancement.

Afia Sakyiwaa Amponsah, Gladys Kyere, Kwadwo Boateng Prempeh, Kwadwo Adinkrah-Appiah

Abstract read
In one paragraph

Article in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Afia Sakyiwaa AmponsahFaculty of Applied Science and Technology Sunyani Technical University Sunyani Ghana.ORCID https://orcid.org/0009-0009-0511-4860
Gladys KyereDepartment of Food and Nutrition Education University of Education Winneba Ghana.ORCID https://orcid.org/0000-0001-7132-2048
Kwadwo Boateng PrempehFaculty of Business and Management Studies Sunyani Technical University Sunyani Ghana.ORCID https://orcid.org/0000-0001-8193-6676
Kwadwo Adinkrah-AppiahFaculty of Engineering Sunyani Technical University Sunyani Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study valorized spent millet flour (SMF) from traditional pito beverage processing by incorporating it into composite bread formulations. SMF was prepared by oven-drying the pito residue at 60°C, dry-milling, and sieving through a 250 μm mesh to achieve a standardized particle size suitable for bread applications. Response surface methodology (RSM) was employed to develop predictive models and identify optimal substitution levels. SMF exhibited superior nutritional composition compared to wheat flour, with higher crude protein (12.8% vs. 11.5%), crude fiber (8.7% vs. 2.1%), and ash content (2.8% vs. 0.6%), alongside a 33% greater water absorption capacity attributed to fermentation-induced protein modification and fiber concentration. Composite bread was prepared at 10%, 20%, and 30% SMF substitution levels and compared against a 100% wheat flour control bread. Second-order polynomial models developed for twelve quality responses achieved high predictive accuracy (

Indexed as

composite breaddesirability functionfood waste valorizationmulti‐objective optimizationmultivariate analysispredictive modelingresponse surface methodology

Identifiers

PMID42079012
PMCPMC13128320

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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.