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Optimization of Ultrasound-Assisted Extraction of Polyphenol Content from Zea mays Hairs (Waste)
Joint Authors
Aourabi, Sarra
Sfaira, Mouhcine
Mahjoubi, Fatima
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The aim of this study was to achieve the best extraction efficiency of the hydroethanolic extract of Zea mays hairs.
The impacts of ethanol concentration, extraction time, and solvent /material ratio were studied in relation to the performance of Zea mays extracts by ultrasonic extraction at 50 kHz and room temperature.
All extracts were quantitatively characterized in terms of polyphenol content.
Response surface methodology (RSM) was carried out to optimize the extraction process and increase extraction efficiency.
In the experiments, different concentrations of ethanol:water were used.
The efficiency of the extraction process was determined from an analysis of variance (ANOVA).
The maximum extraction efficiency of the hydroethanolic extraction (31.37%) and the quantitative value of the polyphenol content (257.87 mg EAG/g extract) were obtained using a treatment time of 40 min, an ethanol:water (70 : 30), and a solvent/material ratio (11 mL/g).
The results obtained indicate that ultrasonic-assisted extraction is an effective method for extracting natural compounds from Zea mays, thus allowing the full use of this abundant and inexpensive industrial waste.
American Psychological Association (APA)
Aourabi, Sarra& Sfaira, Mouhcine& Mahjoubi, Fatima. 2020. Optimization of Ultrasound-Assisted Extraction of Polyphenol Content from Zea mays Hairs (Waste). The Scientific World Journal،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1213924
Modern Language Association (MLA)
Aourabi, Sarra…[et al.]. Optimization of Ultrasound-Assisted Extraction of Polyphenol Content from Zea mays Hairs (Waste). The Scientific World Journal No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1213924
American Medical Association (AMA)
Aourabi, Sarra& Sfaira, Mouhcine& Mahjoubi, Fatima. Optimization of Ultrasound-Assisted Extraction of Polyphenol Content from Zea mays Hairs (Waste). The Scientific World Journal. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1213924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213924