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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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 |
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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 |
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