Antioxidant Activity And Optimisation Of Ultra sonic-Assisted Extraction By Response Surface Methodology Of Aronia Melanocarpa Anthocyanins
Shanshan Chen,
Xianjun Meng (),
Yuehua Wang and
Xiyun Sun
Additional contact information
Shanshan Chen: College of Food Science, Shenyang Agricultural University, Shenyang, China
Xianjun Meng: College of Food Science, Shenyang Agricultural University, Shenyang, China
Yuehua Wang: College of Food Science, Shenyang Agricultural University, Shenyang, China
Xiyun Sun: College of Food Science, Shenyang Agricultural University, Shenyang, China
Matrix Science Pharma (MSP), 2018, vol. 2, issue 1, 6-9
Abstract:
The Based on one-factor-at-a-time experiments, response surface methodology was employed to optimize ultrasound-assisted extraction of Aronia melanocarpa berries (chokeberry; AMP). The optimum extraction conditions were determined as follows: ethanol concentration 62%, ultrasonic power 198 W, liquid-solid ratio 19 (mL/g) and ultrasonic time 44 min. Under this condition, AMP anthocyanin yield was 4.31893 mg/g with a 1.67 % error compared with the actual value, which showed that the model and the optimization process was feasible. Additionally, superoxide anion radical (O2-·) radical scavenging activities of AMP extracts and VC was comparatively analyzed and the result revealed that the antioxidant activity of AMP extracts was superior to VC.
Keywords: Aronia melanocarpa; response surface methodology; ultrasound-assisted extraction; anthocyanin; antioxidant activity. (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://matrixscpharma.com/download/682/ (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnmsp:v:2:y:2018:i:1:p:6-9
DOI: 10.26480/msp.01.2018.06.09
Access Statistics for this article
Matrix Science Pharma (MSP) is currently edited by Professor. Dr. Urban John Arnold D’ Souza
More articles in Matrix Science Pharma (MSP) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ( this e-mail address is bad, please contact ).