Journal of Bioprocessing & Biotechniques

Department of Chemical Engineering, National Chung Hsing University, 250 Kuo-Kuang Road, Taichung 40227, Canada

Publications

• Mini Review   
  Optimizing Lipase-catalyzed Synthesis of Retinyl Laurate for Nutraceuticals Using Artificial Neural Networks and Ultrasound Enhancement
  Author(s): Huang Li*
  
  The synthesis of retinyl laurate, a valuable nutraceutical compound, through lipase-catalyzed esterification presents a promising approach. However, traditional methods often face challenges with low efficiency and yield. This article introduces an innovative method that combines Artificial Neural Network (ANN) optimization with ultrasound support to enhance the lipase-catalyzed synthesis of retinyl laurate. Retinyl laurate, derived from vitamin A (retinol) and lauric acid, is known for its beneficial effects in skin care and nutrition. Traditional chemical synthesis methods are not only inefficient but also involve toxic reagents. Lipase-catalyzed esterification offers a more sustainable and effective alternative. By integrating ANN optimization with ultrasound assistance, this novel approach aims to further improve the efficiency and yield of the synthesis proces.. Read More»
  DOI: 10.37421/2155-9821.2024.14.632

  Abstract HTML PDF