Ultrasound enhanced butyric acid-lauric acid designer lipid synthesis: Based on artificial neural network and changes in enzymatic structure.

Journal: Ultrasonics sonochemistry
PMID:

Abstract

Ultrasound is a green technology for intensifying enzymatic reactions. In this study, an ultrasonic water bath with equipment parameters of 28 kHz, 1750.1 W/m, 60% duty cycle was used to assist the synthesis of butyric acid-lauric acid designer lipid (BLDL), which was catalyzed by Lipozyme 435. A convincing three-layer feed-forward artificial neural network (ANN) model was established (R = 0.949, RMSE = 4.759, ADD = 7.329) to accurately predict the optimal parameters combination, which was described as 13.72 mL reaction volume, 15.49% enzyme loading, 0.253 substrate molar ratio (tributyrin/lauric acid), 56.58 °C reaction temperature and 120 min reaction time. The ultrasonic assistance increased actual butyric acid conversion rate by 11.38%, and also enhanced the consumption rate of tributyrin and lauric acid during the reaction. Meanwhile, the esterification activity of Lipozyme 435 was enhanced and its effectiveness up to 6 cycles. Structurally, ultrasound assistance significantly disrupted the secondary structure of the Lipozyme 435: reduced the content of α-helices, increased the content of β-sheet and β-turn. In addition, sonication caused an increase in crevice and micro-damage on the surface of the immobilized enzyme. In conclusion, low-intensity ultrasound at 28 kHz improved the synthesis efficiency of BLDL, which was scientifically predicted by ANN model, and the change of enzyme structure may be the vital reason for ultrasound enhanced reaction. However, the effect of ultrasound on immobilized enzymes' activity needs to be further explored.

Authors

  • Wangxin Liu
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Xianliang Luo
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Yang Tao
    Bio-Imaging and Machine Vision Lab, Fischell Department of Bioengineering, University of Maryland, College Park 20740, USA. Electronic address: ytao@umd.edu.
  • Ying Huang
    Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, China.
  • Minjie Zhao
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
  • Jiahui Yu
    The Center of Gastrointestinal and Minimally Invasive Surgery, Chengdu Third People's Hospital, Southwest Jiaotong University, Chengdu, China.
  • Fengqin Feng
    College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China; ZhongYuan Institute, Zhejiang University, Hangzhou 310058, China. Electronic address: fengfq@zju.edu.cn.
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.