Optimization of protein yields in water extracts of Jackiopsis ornata roots by response surface methodology using microwave assisted extraction (MAE)

Elhag, Husam Eldin Elhag Abugabr and Nailaa, Aishath and Azilah, Ajit and W. F. W., Ishak and A. Z., Sulaiman and Badhrulhisham, Abdul Aziz and Prasad, D. M. Reddy (2019) Optimization of protein yields in water extracts of Jackiopsis ornata roots by response surface methodology using microwave assisted extraction (MAE). In: AIP Conference Proceedings: Materials Characterization Using X-Rays and Related Techniques , 18-19 August 2018 , Kota Bharu, Kelantan, Malaysia. pp. 1-10., 2068 (020055). ISBN 978-0-7354-1796-0

[img]
Preview
Pdf
Optimization of protein yields in water extracts1.pdf

Download (126kB) | Preview

Abstract

Optimization of protein yields in water extracts that were obtained from Jackiopsis ornataroots by Microwave assisted extraction (MAE) was established by a Circumscribed Central Composite Design (CCCD). MAE proved to be an optimum choice for the protein extraction. The highest yield (20.425±108) was obtained with the parameters liquid to solid ratio (S= 30:1), particle size (P=0.022±0.002mm (radius), temperature (T= 65°C); microwave power (W= 300W) and extraction time (t= 20 minutes). Statistical analysis illustrated the adequacy of the generated full quadratic equation with ad high values of the coefficient of determination (R2), adjusted coefficient of determination R2adj and predicted coefficient p of determination R2pred The p value of the Lack of Fit test illustrated the adequacy of the model. The optimization conditions of extracting the protein was predicted to be with the parameters S: 26, P: 0.0284; T: 65 °C; P: 303 W and t: 20 min. The high efficiency of MAE to obtain J. ornataprotein extract encouraged further application on pilot and industrial scale.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Protein yields; Water extracts; Jackiopsis ornata roots
Subjects: T Technology > TP Chemical technology
Faculty/Division: Faculty of Chemical & Natural Resources Engineering
Institute of Postgraduate Studies
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 16 Oct 2019 02:05
Last Modified: 26 Jun 2020 03:19
URI: http://umpir.ump.edu.my/id/eprint/24315
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item