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Journal of Bioprocessing & Biotechniques

ISSN: 2155-9821

Open Access

Huang Li

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

Publications
  • Mini Review   
    An Effective Method for Lipase-Catalyzed Nutraceutical Synthesis of Retinyl Laurate by Integrating Artificial Neural Network Optimization with Ultrasound Support
    Author(s): Huang Li*

    The synthesis of retinyl laurate, a valuable nutraceutical compound, using lipase-catalyzed esterification is a promising approach. However, traditional methods suffer from low efficiency and yield. In this article, we propose a novel method that integrates artificial neural network (ANN) optimization with ultrasound support to enhance the lipase-catalyzed synthesis of retinyl laurate. We discuss the advantages of this approach, its potential applications in the food and pharmaceutical industries, and future research directions. Retinyl laurate is a compound derived from vitamin A (retinol) and lauric acid, known for its potential health benefits in skin care and nutrition. Traditional chemical synthesis of retinyl laurate is inefficient and involves the use of toxic reagents. Lipase-catalyzed esterification offers a more sustainable and efficient approach for .. Read More»
    DOI: 10.37421/2155-9821.2024.14.617

    Abstract HTML PDF

Google Scholar citation report
Citations: 3351

Journal of Bioprocessing & Biotechniques received 3351 citations as per Google Scholar report

Journal of Bioprocessing & Biotechniques peer review process verified at publons

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