Cargando…

Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design

Protein-energy malnutrition is unacceptably high among children in developing countries due to inadequate required nutrients and poor quality of complementary foods characterized by low protein and energy density and often monotonous. Thus, this research was aimed at examining the potential of inclu...

Descripción completa

Detalles Bibliográficos
Autores principales: Tura, Diriba Chewaka, Belachew, Tefera, Tamiru, Dessalegn, Abate, Kalkidan Hassen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469554/
https://www.ncbi.nlm.nih.gov/pubmed/37664734
http://dx.doi.org/10.1016/j.heliyon.2023.e19029
_version_ 1785099467083481088
author Tura, Diriba Chewaka
Belachew, Tefera
Tamiru, Dessalegn
Abate, Kalkidan Hassen
author_facet Tura, Diriba Chewaka
Belachew, Tefera
Tamiru, Dessalegn
Abate, Kalkidan Hassen
author_sort Tura, Diriba Chewaka
collection PubMed
description Protein-energy malnutrition is unacceptably high among children in developing countries due to inadequate required nutrients and poor quality of complementary foods characterized by low protein and energy density and often monotonous. Thus, this research was aimed at examining the potential of including dabi teff, the underutilized/forgotten crop into pre-processed local food crops viz., germinated maize, roasted barley, roasted field pea, dehulled oats and linseed to develop energy and protein-dense optimized novel complementary food with improved sensory acceptability. Nutrisurvey software was employed to define ranges and they were constrained at 20–35% dabi teff, 0–30% field pea and 5–20% maize, while the rest were set constant at 25% barley, 15% oats and 5% linseed. Eleven experimental runs were generated from the six mixture components using D-optimal mixture design, Stat-Ease Design Expert ® software version 11. A 5-point Hedonic scale was used to evaluate the sensory attributes. ‘Scheffe’ regression was used to fit and test model adequacy and numerical multi-response optimization was performed to identify optimal points using the Design expert. Field pea and linseed contained significantly higher (P < 0.05) protein at 20.95% and 20.57%. The newly formulated products contained significantly higher protein (1.4–1.6 times) and protein density (1.31–1.56 times) as compared to the control and fulfilled the recommended standard. The optimal was identified at 34.66% dabi teff, 25% barley, 15% oats, 15.34% field pea, 5% linseed and 5% maize flour ratios with response values at overall optimization to be 5.57% moisture, 15.74% protein, 5.09% fat, 2.26% ash, 2.88% fiber, 73.05% carbohydrate, 380.43 kcal/100 g energy and 4.12 sensory acceptability score and it contained an energy density of 1.27 kcal/g and protein density of 4.14 g/100kacl. These findings showed that optimized dabi teff-field pea based novel complementary food can be used as a sustainable food-based strategy to combat protein-energy malnutrition among children in developing countries.
format Online
Article
Text
id pubmed-10469554
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-104695542023-09-01 Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design Tura, Diriba Chewaka Belachew, Tefera Tamiru, Dessalegn Abate, Kalkidan Hassen Heliyon Research Article Protein-energy malnutrition is unacceptably high among children in developing countries due to inadequate required nutrients and poor quality of complementary foods characterized by low protein and energy density and often monotonous. Thus, this research was aimed at examining the potential of including dabi teff, the underutilized/forgotten crop into pre-processed local food crops viz., germinated maize, roasted barley, roasted field pea, dehulled oats and linseed to develop energy and protein-dense optimized novel complementary food with improved sensory acceptability. Nutrisurvey software was employed to define ranges and they were constrained at 20–35% dabi teff, 0–30% field pea and 5–20% maize, while the rest were set constant at 25% barley, 15% oats and 5% linseed. Eleven experimental runs were generated from the six mixture components using D-optimal mixture design, Stat-Ease Design Expert ® software version 11. A 5-point Hedonic scale was used to evaluate the sensory attributes. ‘Scheffe’ regression was used to fit and test model adequacy and numerical multi-response optimization was performed to identify optimal points using the Design expert. Field pea and linseed contained significantly higher (P < 0.05) protein at 20.95% and 20.57%. The newly formulated products contained significantly higher protein (1.4–1.6 times) and protein density (1.31–1.56 times) as compared to the control and fulfilled the recommended standard. The optimal was identified at 34.66% dabi teff, 25% barley, 15% oats, 15.34% field pea, 5% linseed and 5% maize flour ratios with response values at overall optimization to be 5.57% moisture, 15.74% protein, 5.09% fat, 2.26% ash, 2.88% fiber, 73.05% carbohydrate, 380.43 kcal/100 g energy and 4.12 sensory acceptability score and it contained an energy density of 1.27 kcal/g and protein density of 4.14 g/100kacl. These findings showed that optimized dabi teff-field pea based novel complementary food can be used as a sustainable food-based strategy to combat protein-energy malnutrition among children in developing countries. Elsevier 2023-08-12 /pmc/articles/PMC10469554/ /pubmed/37664734 http://dx.doi.org/10.1016/j.heliyon.2023.e19029 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Tura, Diriba Chewaka
Belachew, Tefera
Tamiru, Dessalegn
Abate, Kalkidan Hassen
Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design
title Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design
title_full Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design
title_fullStr Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design
title_full_unstemmed Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design
title_short Optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using D-optimal mixture design
title_sort optimization of dabi teff-field pea based energy and protein dense novel complementary food with improved sensory acceptability using d-optimal mixture design
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469554/
https://www.ncbi.nlm.nih.gov/pubmed/37664734
http://dx.doi.org/10.1016/j.heliyon.2023.e19029
work_keys_str_mv AT turadiribachewaka optimizationofdabitefffieldpeabasedenergyandproteindensenovelcomplementaryfoodwithimprovedsensoryacceptabilityusingdoptimalmixturedesign
AT belachewtefera optimizationofdabitefffieldpeabasedenergyandproteindensenovelcomplementaryfoodwithimprovedsensoryacceptabilityusingdoptimalmixturedesign
AT tamirudessalegn optimizationofdabitefffieldpeabasedenergyandproteindensenovelcomplementaryfoodwithimprovedsensoryacceptabilityusingdoptimalmixturedesign
AT abatekalkidanhassen optimizationofdabitefffieldpeabasedenergyandproteindensenovelcomplementaryfoodwithimprovedsensoryacceptabilityusingdoptimalmixturedesign