Food Engineering Progress
Korean Society for Food Engineering
Article

흑생강 제조 공정 최적화 및 기능성 흑생강 음료 제조

반영주1, 백무열1, 함영태2, 김혜경3, 김병용1,*
Young-Ju Ban1, Moo-Yeol Baik1, Young-Tae Hahm2, Hye-Kyung Kim3, Byung-Yong Kim1,*
1경희대학교 식품공학과 생명자원연구소
2중앙대학교 생명공학과
3한서대학교 식품생물공학과
1Department of Food Science and Biotechnology, Institute of Life Science and Resources, Kyunghee University
2Department of Biotechnology, Chungang University
3Department of Food Science and Biotechnology, Hanseo University
*Corresponding author: Byung-Yong Kim, Department of Food Science and Biotechnology, Kyunghee University, Yongin, Gyeonggi-do 449-701, Korea, Tel: +82-31-201-2627; Fax: +82-31-202-0540, E-mail: bykim@khu.ac.kr

ⓒ Copyright 2010 Korean Society for Food Engineering. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Mar 03, 2010; Revised: Mar 30, 2010; Accepted: Mar 31, 2010

Published Online: May 31, 2010

Abatract

Black ginger, obtained from steaming and drying process, provides the various functional properties. This study was performed to investigate the optimum processing conditions for black ginger with high content of biologically active substance such as anti-oxidations. Optimum processing conditions such as temperature and time for black ginger was determined by response surface methodology (RSM) with manufacturing process and functionality. The optimum steaming condition was determined 6 hours at 93.2°C, and 82.7 mg/L DPPH scavenging activities was obtained at this condition. The black ginger drink was made with black ginger extracts, Japanese apricot, and honey. Interaction effects of these ingredients were investigated by modified distance based on design and analyzed by linear, nonlinear regression model, and RSM. The optimization of mixture ratio was made by statistical modeling using DPPH scavenging activities and sensory properties which are the important target constraints in drink. Total flavonoids showed a linear canonical form, while preference and antiradical activity showed a nonlinear canonical form indicating the higher interaction among mixtures. The response trace plot revealed that antiradical activity, sensory properties and total flavonoids were quite sensitive to the drink blending. The optimum formulation of the drink was set at 14.2% of black ginger extracts, 5% of Japanese apricot, and 10.8% honey.

Keywords: black ginger; response surface methodology; ginger drinks; optimum formulation