Applied Chemistry for Engineering (공업화학)

The Korean Society of Industrial and Engineering Chemistry (한국공업화학회)
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Preparation of Cosmeceuticals Containing Abies and Pinus Needle Extract: Optimization of Emulsion Stability and Antibacterial Properties

전나무 잎과 잣나무 잎 추출물이 함유된 cosmeceuticals의 제조: 유화안정성 및 항균특성 최적화

  • Seheum Hong (Department of Polymer Science and Engineering, Dankook University) ;
  • Se Mi Park (Department of Chemical Engineering, Dankook University) ;
  • Young Woo Choi (Department of Chemical Engineering, Dankook University) ;
  • Seung Bum Lee (Department of Chemical Engineering, Dankook University)
  • 홍세흠 (단국대학교 고분자시스템공학부) ;
  • 박세미 (단국대학교 화학공학과) ;
  • 최용우 (단국대학교 화학공학과) ;
  • 이승범 (단국대학교 화학공학과)
  • Received : 2024.11.21
  • Accepted : 2024.12.04
  • Published : 2025.02.10
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Abstract

This study focused on optimizing the manufacturing conditions of cosmeceuticals with emulsion stability and antimicrobial properties by using the extract of fir and pine as natural preservatives. The optimization process was performed using the central composite design-response surface methodology (CCD-RSM). The CCD-RSM analysis yielded a highly reliable regression equation. The optimization results showed that the optimal manufacturing conditions for cosmeceuticals were an emulsifier HLB value of 9.3 and a fir extract ratio of 0.47. Under these conditions, the predicted response values were an ESI of 94.3% and inhibition diameters against E. coli and S. aureus of 8.0 and 8.9 mm, respectively. When cosmeceuticals were manufactured under the optimized conditions and the response values were measured, the average error rate was found to be within ± 0.96%. Thus, by applying the CCD-RSM optimization process, optimal manufacturing conditions for cosmeceuticals with excellent stability and antimicrobial properties were successfully achieved.

본 연구에서는 전나무와 잣나무의 추출물을 천연방부제로 사용하여 유화안정성과 항균특성을 갖는 cosmeceuticals 제조 조건 최적화를 중심합성모델(CCD-RSM)을 사용하여 수행하였다. CCD-RSM에 의한 최적화 결과, cosmeceuticals의 최적 제조 조건으로서 유화제 HLB value는 9.3, 추출물의 혼합비율은 0.47로 산출되었으며 이 조건에서 예측된 반응치인 ESI는 94.3%, 대장균 억제직경은 8.0 mm이고, 황색포도상구균 억제직경은 8.9 mm로 산출되었다. 이 최적 유화 제조 조건으로 cosmeceuticals를 제조하고 반응치를 측정한 결과, 반응치에 대한 평균 오차율은 ± 0.96% 이하로 나타나 CCD-RSM 최적화 과정을 적용하여 우수한 안정성과 항균특성을 갖는 cosmeceuticals의 제조 조건을 얻을 수 있었다.

Keywords

References

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