Volume 13, Issue 47 (4-2009)                   jwss 2009, 13(47): 423-435 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abbasi S, Farzanmehr H. Optimization of Extracting Conditions of Inulin from Iranian Artichoke With/without Ultrasound Using Response Surface Methodology . jwss 2009; 13 (47) :423-435
URL: http://jstnar.iut.ac.ir/article-1-1065-en.html
, sabbasifood@modares.ac.ir
Abstract:   (24351 Views)
Nowadays, Inulin, due to its nutritional properties, is widely being used all over the world. Artichoke tuber is one of its major industrial extraction sources. Therefore, in the present study we initially aimed to determine total carbohydrate, inulin, reducing sugars as well as dry matter contents of an Iranian artichoke. Thereafter, we focused on the optimization of aqueous extraction of inulin in the presence and absence of direct and indirect ultrasonic waves at various combinations of extraction time, temperature and solvent:solid ratio using Box-Behnken design and response surface methodology (RSM). Based on the experiments, the dry matter and total carbohydrate contents of Iranian artichoke were 6.7 and 3.9%, respectively. We also found that an empirical model developed by RSM could satisfactorily describe relationship between independent parameters and the yield of total carbohydrate as well as inulin. Furthermore, our findings revealed that optimal aqueous extraction of inulin could be achieved at 80ºC, for a duration of 5 min at a solvent:solid ratio of 1:5. Moreover, a direct relation was seen between the yield of extraction and the power as well as frequency of ultrasonic waves where with increasing latter variables, duration of extraction process and inulin yield considerably reduced and increased, respectively.
Full-Text [PDF 287 kb]   (3811 Downloads)    
Type of Study: Research | Subject: Ggeneral
Received: 2010/05/11 | Published: 2009/04/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | JWSS - Isfahan University of Technology

Designed & Developed by : Yektaweb