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Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology
Autumn olive fruits are a rich source of nutrients and functional compounds, making them functional foods against many diseases and cancers. To increase the consumption, its processing, and its transformation into new products would help spread them to the consumer’s table. In this study, after givi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152059/ https://www.ncbi.nlm.nih.gov/pubmed/34067938 http://dx.doi.org/10.3390/foods10051075 |
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author | Ghellam, Mohamed Zannou, Oscar Pashazadeh, Hojjat Galanakis, Charis M. Aldawoud, Turki M. S. Ibrahim, Salam A. Koca, Ilkay |
author_facet | Ghellam, Mohamed Zannou, Oscar Pashazadeh, Hojjat Galanakis, Charis M. Aldawoud, Turki M. S. Ibrahim, Salam A. Koca, Ilkay |
author_sort | Ghellam, Mohamed |
collection | PubMed |
description | Autumn olive fruits are a rich source of nutrients and functional compounds, making them functional foods against many diseases and cancers. To increase the consumption, its processing, and its transformation into new products would help spread them to the consumer’s table. In this study, after giving an overview of the physicochemical characteristics and the antioxidant activity, the objective was to optimize the osmotic dehydration (OD) of the berries. Response surface methodology was used to investigate the effect of dehydration factors: syrup concentration (30–70%), temperature (20–70 °C), and fruit-to-syrup ratio (1:10–2:10) on the water loss (WL), sugar gain (SG), weight reduction (WR), density (ρ), water activity (a(w)), and total color change (ΔE) of fruits after 10 h of OD. Results obtained by employing Box–Behnken design (three variables, three levels), and significant terms of regression equations indicated that the syrup concentration and temperature variation are the most affecting factors on the previously mentioned independent variables (WL SG, WR, ρ, a(w), and ΔE). Fruits to syrup ratio appeared to have a significant effect only on WL. Under the optimum conditions found (70%, 70 °C, 1.8:10), the predicted values were 59.21%. 19.21%, 32.34%, 1.22 g/cm(3), 0.850, and 3.65 for WL, SG, WR, ρ, a(w), and ΔE, respectively. |
format | Online Article Text |
id | pubmed-8152059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81520592021-05-27 Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology Ghellam, Mohamed Zannou, Oscar Pashazadeh, Hojjat Galanakis, Charis M. Aldawoud, Turki M. S. Ibrahim, Salam A. Koca, Ilkay Foods Article Autumn olive fruits are a rich source of nutrients and functional compounds, making them functional foods against many diseases and cancers. To increase the consumption, its processing, and its transformation into new products would help spread them to the consumer’s table. In this study, after giving an overview of the physicochemical characteristics and the antioxidant activity, the objective was to optimize the osmotic dehydration (OD) of the berries. Response surface methodology was used to investigate the effect of dehydration factors: syrup concentration (30–70%), temperature (20–70 °C), and fruit-to-syrup ratio (1:10–2:10) on the water loss (WL), sugar gain (SG), weight reduction (WR), density (ρ), water activity (a(w)), and total color change (ΔE) of fruits after 10 h of OD. Results obtained by employing Box–Behnken design (three variables, three levels), and significant terms of regression equations indicated that the syrup concentration and temperature variation are the most affecting factors on the previously mentioned independent variables (WL SG, WR, ρ, a(w), and ΔE). Fruits to syrup ratio appeared to have a significant effect only on WL. Under the optimum conditions found (70%, 70 °C, 1.8:10), the predicted values were 59.21%. 19.21%, 32.34%, 1.22 g/cm(3), 0.850, and 3.65 for WL, SG, WR, ρ, a(w), and ΔE, respectively. MDPI 2021-05-13 /pmc/articles/PMC8152059/ /pubmed/34067938 http://dx.doi.org/10.3390/foods10051075 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Ghellam, Mohamed Zannou, Oscar Pashazadeh, Hojjat Galanakis, Charis M. Aldawoud, Turki M. S. Ibrahim, Salam A. Koca, Ilkay Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology |
title | Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology |
title_full | Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology |
title_fullStr | Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology |
title_full_unstemmed | Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology |
title_short | Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology |
title_sort | optimization of osmotic dehydration of autumn olive berries using response surface methodology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152059/ https://www.ncbi.nlm.nih.gov/pubmed/34067938 http://dx.doi.org/10.3390/foods10051075 |
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