Contesini Fabiano Jares, da Silva Vania Castriani Fernades, Maciel Rafael Ferreira, de Lima Rosemary Joana, Barros Francisco Fábio Cavalcante, de Oliveira Carvalho Patrícia
Laboratório de Bioquímica de Alimentos, Faculdade de Engenharia de Alimentos, Universidade Estadual de Campinas (UNICAMP), São Paulo, Brazil.
J Microbiol. 2009 Oct;47(5):563-71. doi: 10.1007/s12275-008-0279-8. Epub 2009 Oct 24.
The lipase produced by the Aspergillus niger strain AC-54 has been widely studied due to its enantioselectivity for racemic mixtures. This study aimed to optimize the production of this enzyme using statistical methodology. Initially a Plackett-Burman (PB) design was used to evaluate the effects of the culture medium components and the culture conditions. Twelve factors were screened: water content, glucose, yeast extract, peptone, olive oil, temperature, NaH(2)P0(4), KH(2)P0(4), MgS0(4)-7H(2)0, CaCl(2), NaCI, and MnS0(4). The screening showed that the significant factors were water content, glucose, yeast extract, peptone, NaH(2)P0(4), and KH(2)P0(4), which were optimized using response surface methodology (RSM) and a mathematical model obtained to explain the behavioral process. The best lipase activity was attained using the following conditions: water content (20%), glucose (4.8%), yeast extract (4.0%), and NaH2P04 (4.0%). The predicted lipase activity was 33.03 U/ml and the experimental data confirmed the validity of the model. The enzymatic activity was expressed as micromoles of oleic acid released per minute of reaction (micromol/min).
黑曲霉AC-54菌株产生的脂肪酶因其对外消旋混合物的对映选择性而受到广泛研究。本研究旨在使用统计方法优化该酶的生产。最初使用Plackett-Burman(PB)设计来评估培养基成分和培养条件的影响。筛选了12个因素:含水量、葡萄糖、酵母提取物、蛋白胨、橄榄油、温度、NaH(2)P0(4)、KH(2)P0(4)、MgS0(4)-7H(2)0、CaCl(2)、NaCl和MnS0(4)。筛选结果表明,显著因素为含水量、葡萄糖、酵母提取物、蛋白胨、NaH(2)P0(4)和KH(2)P0(4),使用响应面方法(RSM)对其进行了优化,并获得了一个数学模型来解释行为过程。在以下条件下获得了最佳脂肪酶活性:含水量(20%)、葡萄糖(4.8%)、酵母提取物(4.0%)和NaH2P04(4.0%)。预测的脂肪酶活性为33.03 U/ml,实验数据证实了该模型的有效性。酶活性以每分钟反应释放的油酸微摩尔数(微摩尔/分钟)表示。