Journal of the Korean Applied Science and Technology (한국응용과학기술학회지)

The Korean Society of Applied Science and Technology (한국응용과학기술학회)
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Design Optimization of Hydrated Liquid Crystalline Vesicles Containing a High Content of Ceramide Using DOE

실험 계획법을 적용한 세라마이드 고함량의 수화 액정형 베시클의 최적설계

  • Shin, Juyeong (Division of Chemistry & Cosmetics, Dongduk Women's University) ;
  • Jin, Byung-Suk (Division of Chemistry & Cosmetics, Dongduk Women's University)
  • 신주영 (동덕여자 대학교 화학 화장품학부) ;
  • 진병석 (동덕여자 대학교 화학 화장품학부)
  • Received : 2022.09.07
  • Accepted : 2022.10.24
  • Published : 2022.10.30
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Abstract

Using the design of experiment (DOE), factors affecting the particle size of hydrated liquid crystalline vesicles containing a high content of ceramide were analyzed and the mixture composition was optimized. Manufacturing temperature, amount of ethanol, and ultrasonic time were selected as the main variables affecting the droplet size of the vesicles, and the effect of these variables on the droplet size was examined through the signal to noise (S/N) ratios of Taguchi method and ANOVA analysis. In addition, mixture composition experiments of three lipid components constituting the vesicle membrane, hydrogenated phosphatidyl choline (HPC), cholesterol (Chol), and ceramide (Cer), were performed according to the simplex central design matrix of the mixture. Regression analysis was conducted with the experimental data to obtain a model equation, and the optimal mixing composition of the three lipid components to minimize the vesicle droplet size was determined as HPC (0.6), Chol (0.1), and Cer (0.3).

실험 계획법을 활용하여 세라마이드가 고함량으로 함유된 수화 액정형 베시클의 입자 사이즈에 영향을 미치는 인자를 분석하고 혼합물 조성의 최적화를 시도하였다. 베시클 입자 사이즈에 영향을 주는 주요 변수로 제조 온도, 에탄올 양, 초음파 시간을 각각 정하고, 다구찌 방법의 S/N비 산출과 ANOVA 분석을 통해, 이들 변수들이 입자 사이즈에 미치는 영향을 살펴보았다. 또한 혼합물 실험 계획법의 심플렉스 중심 설계에 따라, 베시클 막을 구성하는 세 지질 성분, 인지질(HPC), 콜레스테롤(Chol), 세라마이드(Cer)의 혼합 조성 실험을 수행하였다. 실험에서 얻어진 데이터로부터 회귀분석을 실시하여 모델식을 구하고, 베시클 입자 사이즈를 최소로 만들기 위한 세 지질 성분의 최적 혼합 조성은 HPC(0.6), Chol(0.1), Cer(0.3)으로 구해졌다.

Keywords

Acknowledgement

본 연구는 2021년 동덕여자 대학교 학술연구비 지원에 의해 이루어 졌으며 이에 감사드립니다.

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