RSM approach for modeling and optimization of microwave-assisted extraction of chokeberry
| Autor: | L Miodrag Lazic, T Ivana Karabegović, T Dragan Velickovic, Č Nada Nikolić, S Sasa Stojicevic, M Valentina Simić |
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| Rok vydání: | 2018 |
| Předmět: |
010401 analytical chemistry
Microwave power Extraction (chemistry) Analytical chemistry 04 agricultural and veterinary sciences General Medicine General Chemistry Process variable 040401 food science 01 natural sciences Microwave assisted 0104 chemical sciences 0404 agricultural biotechnology Yield (chemistry) Response surface methodology Mathematics |
| Zdroj: | Advanced Technologies. 7:11-19 |
| ISSN: | 2406-3037 2406-2979 |
| DOI: | 10.5937/savteh1801011s |
| Popis: | Optimization of chokeberry (Aronia melanocarpa) microwave-assisted extraction (MAE) with different microwave power (300, 450, 600 W), ethanol concentration (25, 50, 75 %) and extraction time (5, 10, 15 min) were analyzed using response surface methodology (RSM). The predicted maximum extractive substances yield (ESY) of 19.2 g/100 g of the fresh plant material was obtained at the optimal condition (525 W, 62.5%, 15 min), while 20.1 g /100 g of the fresh plant material was obtained from laboratory experiments. The most effective process parameter was extraction time. In order to rationalize the production and minimize costs, optimal economic conditions have been proposed, so the extraction parameters were set as follows: 417.5 W, 43.03%, 11.2 min. Under these conditions, the model predicts the ESY of 16.95 g/100 g of the fresh plant material which means that it is possible to obtain 88% of the maximum predicted ESY, but with a significantly reduced price per unit of the final product. The experimental values under optimal conditions agreed with those predicted within a 95% confidence interval, thus indicating the suitability of RSM in optimizing MAE of chokeberry. |
| Databáze: | OpenAIRE |
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