LAPSE:2024.0466
Published Article

LAPSE:2024.0466
Response Surface Methodology: An Optimal Design for Maximising the Efficiency of Microwave-Assisted Extraction of Total Phenolic Compounds from Coriandrum sativum Leaves
June 5, 2024
Abstract
The optimization of total phenolic compounds (TPC) extraction yield and maximization of total antioxidant capacity (TAC) from coriander leaves were investigated using response surface methodology. The extraction of TPC was carried out using microwave-assisted extraction. A Box-Behnken design was used to study the effects of the three independent variables, solvent concentration (ethanol/water 20−80%), microwave power (100−500 watt) and irradiation time (30−150 s) on the response. A second-order polynomial model was used to predict the reaction. The regression analysis showed that about 99% of the variations could be explained by the models. The predicted values were 50.97 GAE/g dw and 5.75 mg GAE/g dw for TPC and TAC, respectively. The reaction surface analysis showed that the optimum extraction parameters that maximized the extraction of antioxidants yield were 52.62% ethanol, 452.12 watt and 150 s. Under optimal conditions, the experimental values for TPC and TAC were 49.63 ± 0.93 mg GAE/g dw and 5.55 ± 0.07 mg GAE/g dw, respectively. The experimental values are in agreement with the predicted values, indicating the suitability of the model used and the success of the response surface methodology in optimizing the extraction conditions.
The optimization of total phenolic compounds (TPC) extraction yield and maximization of total antioxidant capacity (TAC) from coriander leaves were investigated using response surface methodology. The extraction of TPC was carried out using microwave-assisted extraction. A Box-Behnken design was used to study the effects of the three independent variables, solvent concentration (ethanol/water 20−80%), microwave power (100−500 watt) and irradiation time (30−150 s) on the response. A second-order polynomial model was used to predict the reaction. The regression analysis showed that about 99% of the variations could be explained by the models. The predicted values were 50.97 GAE/g dw and 5.75 mg GAE/g dw for TPC and TAC, respectively. The reaction surface analysis showed that the optimum extraction parameters that maximized the extraction of antioxidants yield were 52.62% ethanol, 452.12 watt and 150 s. Under optimal conditions, the experimental values for TPC and TAC were 49.63 ± 0.93 mg GAE/g dw and 5.55 ± 0.07 mg GAE/g dw, respectively. The experimental values are in agreement with the predicted values, indicating the suitability of the model used and the success of the response surface methodology in optimizing the extraction conditions.
Record ID
Keywords
Coriandrum sativum, microwave-assisted extraction, response surface methodology, total antioxidant capacity, total phenolic compounds
Suggested Citation
Hihat S, Touati N, Sellal A, Madani K. Response Surface Methodology: An Optimal Design for Maximising the Efficiency of Microwave-Assisted Extraction of Total Phenolic Compounds from Coriandrum sativum Leaves. (2024). LAPSE:2024.0466
Author Affiliations
Hihat S: Laboratoire de Biomathématiques, Biophysique, Biochimie, et Scientométrie, Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia 06000, Algeria; Département des Sciences Alimentaires, Faculté des Sciences de la Nature et de la [ORCID]
Touati N: Département des Sciences Alimentaires, Faculté des Sciences de la Nature et de la Vie et des Sciences de la Terre et de l’Univers, Université Mohamed el Bachir el Ibrahimi, Bordj Bou Arreridj 34030, Algeria; Laboratoire Santé et Environnement, Facul [ORCID]
Sellal A: Laboratoire Santé et Environnement, Faculté des Sciences de la Nature et de la Vie et des Sciences de la Terre et de l’Univers, Université Mohamed el Bachir el Ibrahimi, Bordj Bou Arreridj 34030, Algeria; Département de Biochimie, Faculté des Scien [ORCID]
Madani K: Laboratoire de Biomathématiques, Biophysique, Biochimie, et Scientométrie, Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia 06000, Algeria; Centre National de Recherche en Technologies Agroalimentaires, Route de Targa-Ouzem [ORCID]
Touati N: Département des Sciences Alimentaires, Faculté des Sciences de la Nature et de la Vie et des Sciences de la Terre et de l’Univers, Université Mohamed el Bachir el Ibrahimi, Bordj Bou Arreridj 34030, Algeria; Laboratoire Santé et Environnement, Facul [ORCID]
Sellal A: Laboratoire Santé et Environnement, Faculté des Sciences de la Nature et de la Vie et des Sciences de la Terre et de l’Univers, Université Mohamed el Bachir el Ibrahimi, Bordj Bou Arreridj 34030, Algeria; Département de Biochimie, Faculté des Scien [ORCID]
Madani K: Laboratoire de Biomathématiques, Biophysique, Biochimie, et Scientométrie, Faculté des Sciences de la Nature et de la Vie, Université de Bejaia, Bejaia 06000, Algeria; Centre National de Recherche en Technologies Agroalimentaires, Route de Targa-Ouzem [ORCID]
Journal Name
Processes
Volume
12
Issue
5
First Page
1031
Year
2024
Publication Date
2024-05-19
ISSN
2227-9717
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Original Submission
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PII: pr12051031, Publication Type: Journal Article
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LAPSE:2024.0466
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https://doi.org/10.3390/pr12051031
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