Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis
Edible flowers of Hibiscus rosa-sinensis have been identified as a source of antioxidant phenolics. Thus, effective extraction of phenolics is important to efficiently utilize these flowers. The present study aims to make use of a central composite design, to investigate the effects of extraction va...
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Format: | Article |
Language: | English |
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University of Tehran
2022-06-01
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Series: | Journal of Food and Bioprocess Engineering |
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Online Access: | https://jfabe.ut.ac.ir/article_87070.html |
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author | Ganesamoorthy Janarny Kamburawala Kankanamge Don Somathilaka Ranaweera Katugampalage Don Prasanna Priyantha Gunathilake |
author_facet | Ganesamoorthy Janarny Kamburawala Kankanamge Don Somathilaka Ranaweera Katugampalage Don Prasanna Priyantha Gunathilake |
author_sort | Ganesamoorthy Janarny |
collection | DOAJ |
description | Edible flowers of Hibiscus rosa-sinensis have been identified as a source of antioxidant phenolics. Thus, effective extraction of phenolics is important to efficiently utilize these flowers. The present study aims to make use of a central composite design, to investigate the effects of extraction variables on the three response variables; total phenolic content, total anthocyanin content and antioxidant activity. Central composite design with four independent variables including solid: liquid ratio, ethanol concentration, temperature and time were used for the simultaneous optimization of response variables. The optimum process parameters generated were 24.0% ethanol, 1:40 solid: liquid ratio, 44°C temperature and 41 minutes of extraction. The experimental values obtained for the response variables under the generated optimum conditions confirmed the validity of the proposed second-order polynomial model. The results from the simultaneous optimization demonstrated the application of feasible process parameters for the extraction of phenolics from Hibiscus rosa-sinensis flowers and the effective utilization of these flowers in food as well as the pharmaceutical industry.
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first_indexed | 2024-03-12T14:34:42Z |
format | Article |
id | doaj.art-da122224b5454f8bb14a74fb20cd5672 |
institution | Directory Open Access Journal |
issn | 2676-3494 |
language | English |
last_indexed | 2024-03-12T14:34:42Z |
publishDate | 2022-06-01 |
publisher | University of Tehran |
record_format | Article |
series | Journal of Food and Bioprocess Engineering |
spelling | doaj.art-da122224b5454f8bb14a74fb20cd56722023-08-17T10:23:05ZengUniversity of TehranJournal of Food and Bioprocess Engineering2676-34942022-06-0151435110.22059/JFABE.2022.341288.1113Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensisGanesamoorthy Janarny0Kamburawala Kankanamge Don Somathilaka Ranaweera1Katugampalage Don Prasanna Priyantha Gunathilake2Department of Food Science & Technology, Faculty of Applied Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri LankaDepartment of Food Science & Technology, Faculty of Applied Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri LankaDepartment of Food Science & Technology, Faculty of Livestock, Fisheries & Nutrition, Wayamba University of Sri Lanka, Makandura, Gonawila, Sri LankaEdible flowers of Hibiscus rosa-sinensis have been identified as a source of antioxidant phenolics. Thus, effective extraction of phenolics is important to efficiently utilize these flowers. The present study aims to make use of a central composite design, to investigate the effects of extraction variables on the three response variables; total phenolic content, total anthocyanin content and antioxidant activity. Central composite design with four independent variables including solid: liquid ratio, ethanol concentration, temperature and time were used for the simultaneous optimization of response variables. The optimum process parameters generated were 24.0% ethanol, 1:40 solid: liquid ratio, 44°C temperature and 41 minutes of extraction. The experimental values obtained for the response variables under the generated optimum conditions confirmed the validity of the proposed second-order polynomial model. The results from the simultaneous optimization demonstrated the application of feasible process parameters for the extraction of phenolics from Hibiscus rosa-sinensis flowers and the effective utilization of these flowers in food as well as the pharmaceutical industry. https://jfabe.ut.ac.ir/article_87070.htmlhibiscus rosa-sinensisoptimizationphenolicsresponse surface method |
spellingShingle | Ganesamoorthy Janarny Kamburawala Kankanamge Don Somathilaka Ranaweera Katugampalage Don Prasanna Priyantha Gunathilake Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis Journal of Food and Bioprocess Engineering hibiscus rosa-sinensis optimization phenolics response surface method |
title | Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis |
title_full | Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis |
title_fullStr | Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis |
title_full_unstemmed | Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis |
title_short | Response surface optimization of polyphenol extraction from petals of Hibiscus-rosa sinensis |
title_sort | response surface optimization of polyphenol extraction from petals of hibiscus rosa sinensis |
topic | hibiscus rosa-sinensis optimization phenolics response surface method |
url | https://jfabe.ut.ac.ir/article_87070.html |
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