食品科学 ›› 2008, Vol. 29 ›› Issue (7): 251-255.

• 生物工程 • 上一篇    下一篇

八角中抑制香肠腐败菌物质提取条件的优化

钱昆, 周涛   

  1. 南京师范大学金陵女子学院食品系; 南京师范大学金陵女子学院食品系 江苏南京210097; 江苏南京210097
  • 出版日期:2008-07-15 发布日期:2011-07-28

Optimization of Extraction Process of Antimicrobial Substance from Star Anise

 QIAN  Kun, ZHOU  Tao   

  1. Depertment of Food Science, Ginling College, Nanjing Normal University, Nanjing 210097, China
  • Online:2008-07-15 Published:2011-07-28

摘要: 针对低温肉制品分离出的腐败菌,实验研究了不同提取条件对八角95%乙醇提取液抑菌作用的影响,采用单因素试验和二次回归正交旋转组合试验设计优化得到提取最佳条件:料液比为12,提取时间为3h,提取温度为60℃。同时利用神经网络独特的自学习能力,建立了提取条件对低温火腿肠腐败菌抑制作用影响的模型。并且通过神经网络的训练和仿真得到较二次回归函数更为准确的预测模型。

关键词: 八角, 抑菌试验, BP人工神经网络

Abstract: Effects of different extraction conditions for 95% ethanol extract of star anise were investigated on bacteriostasis of the extract against putrefying bacteria, which were isolated form low-temperature meat product. The optimal extraction conditions for antimicrobial substance from star anise are as follows: extracting for 3 h at 60 ℃ with raw material to 95% ethanol ratio 1:12 (m/V), which were obtained by single factor test and orthogonal rotational regression design. In virtue of artificial neural networks, the model describing the effects of extraction conditions on antimicrobial capacity against the putrefying bacteria was established. The results showed that the artificial neural networks method is more reliable than regressive analysis method.

Key words: star anise, antimicrobial test, BP artificial neural network