Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66009
Title: Kinetics of Ultrasound-assisted Extraction of Flavonoids and Triterpenes and Structure Characterization of Chinese Northeast Black Bee Propolis
Authors: Qingzhi Ding
Ricardo Antonio Wu-Chen
Qi Wu
Hanfei Jiang
Ting Zhang
Lin Luo
Haile Ma
Shiqiao Ma
Ronghai He
Authors: Qingzhi Ding
Ricardo Antonio Wu-Chen
Qi Wu
Hanfei Jiang
Ting Zhang
Lin Luo
Haile Ma
Shiqiao Ma
Ronghai He
Keywords: propolis;ultrasound-assisted extraction;kinetics;flavonoids;triterpenes
Issue Date: 2019
Publisher: Science Faculty of Chiang Mai University
Citation: Chiang Mai Journal of Science 46, 1 (Jan 2019), 72 - 92
Abstract: Flavonoids and triterpenes from Chinese northeast black bee propolis were extracted using pulsed ultrasound-assisted extraction. The influences of extraction parameters such as ethanol concentration, liquid-solid ratio, temperature, time, and ultrasonic on-time/off-time on the extraction yield were investigated. The kinetics of the extraction process was studied. The second-order kinetic models were applied to fit the experimental data. Effects of ultrasound on microstructure of propolis were studied by Scanning Electron Microscope and Atomic Force Microscope. The results showed the great influence of extraction parameters on the extraction yield. Optimum extraction conditions were determined as: 80% ethanol concentration, 30:1 mL/g ratio, 53 °C, 16 min and 10s/5s on-time/off-time. Under these conditions, 60.34% of flavonoids and triterpenes extraction yield was achieved. Scanning electron microscope and atomic force microscope analysis indicated that the propolis matrix structure changed evidently during ultrasound. GC-MS and LC-MS analyses showed that terpenes and flavonoids content were consistent by both extraction methods, thus UAE resulted to be more efficient compared to conventional extraction by achieving extraction in shorter time. Kinetic predictions for yields distributions of ultrasound-assisted extraction are highly in agreement with the experimental data, which implies that the proposed model can be used to predict the mechanisms of the extraction process.
URI: http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9777
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66009
ISSN: 0125-2526
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.