Nadaf R D, Nadaf P D, Toragall M M, Ct S
Department of Biotechnology, KAHER's Dr. Prabhakar Kore Basic Science Research Centre, JNMC Campus, Belagavi (Karnataka, India).
Department of Biotechnology and Microbiology, Karnatak University, Dharwad (Karnataka, India).
Arch Razi Inst. 2024 Jun 30;79(3):659-668. doi: 10.32592/ARI.2024.79.3.659. eCollection 2024 Jun.
Lipases are triacylglycerol hydrolases with various potential applications because of their different physical properties. Most lipase producers are extracellular in nature and are created using solid-state fermentation and submerged fermentation methods. The fungal, mycelial, and yeast lipases are produced using various solid substrates through the solid-state fermentation method. This method is cost-effective and widely used in industries to produce lipase using fungi. However, lipases from bacteria are produced using submerged fermentation. The optimization of media is a main requirement for increasing the quantitative yield by the overproduction of enzymes. The optimization of media is a main requirement for increasing the quantitative yield by overproduction of enzymes. Different parameters, such as pH, temperature, agitation speed, inoculum size, incubation time, and carbon and nitrogen sources, have been of great importance for researchers in designing economical media. The optimization by one factor at a time (OFAT) is a one-dimensional approach that is laborious and time-consuming and does not consider interactions between the factors. The limitations of OFAT method can be alleviated by employing some techniques, such as Plackett-Burman design (PBD) and response surface methodology (RSM). The PBD is a method to screen the variables that influence production and remove the non-significant factors to attain a smaller and manageable set of factors. Subsequently, the chosen significant factors are optimized by RSM that assists to study the interactions of different factors. The RSM comprises of central composite design (CCD) to fit a second-order polynomial equation. In this study, the effect of temperature, tryptone, inoculum size, and incubation time on the lipase production were analysed by PBD screening experiments. The experiments were designed using a CCD with four variables as part of RSM, utilizing the Design Expert software. This model predicted optimal activity of lipase at 58.53 U/mL when using 1.5% tryptone, a 10 mL inoculum size, and an incubation period of 48 h at 34°C. This experiment was further validated and optimal activity of lipase of 57.85 U/mL was observed. Thus, RSM model enhanced the production of lipase and can be applied for the maximum yield of lipase.
脂肪酶是三酰甘油水解酶,由于其不同的物理性质而具有各种潜在应用。大多数脂肪酶产生菌本质上是胞外的,通过固态发酵和深层发酵方法产生。真菌、丝状菌和酵母脂肪酶通过固态发酵方法使用各种固体底物产生。这种方法具有成本效益,在工业上广泛用于利用真菌生产脂肪酶。然而,细菌脂肪酶是通过深层发酵产生的。培养基的优化是通过过量生产酶来提高定量产量的主要要求。培养基的优化是通过过量生产酶来提高定量产量的主要要求。不同的参数,如pH值、温度、搅拌速度、接种量、培养时间以及碳源和氮源,对研究人员设计经济的培养基非常重要。一次一个因素的优化(OFAT)是一种一维方法,既费力又耗时,并且不考虑因素之间的相互作用。通过采用一些技术,如Plackett-Burman设计(PBD)和响应面方法(RSM),可以缓解OFAT方法的局限性。PBD是一种筛选影响产量的变量并去除非显著因素以获得更小且易于管理的因素集的方法。随后,通过RSM对所选的显著因素进行优化,RSM有助于研究不同因素之间的相互作用。RSM包括中心复合设计(CCD)以拟合二阶多项式方程。在本研究中,通过PBD筛选实验分析了温度、胰蛋白胨、接种量和培养时间对脂肪酶产生的影响。利用Design Expert软件,使用具有四个变量的CCD作为RSM的一部分设计实验。该模型预测,当使用1.5%胰蛋白胨、10 mL接种量并在34°C下培养48 h时,脂肪酶的最佳活性为58.53 U/mL。该实验进一步得到验证,观察到脂肪酶的最佳活性为57.85 U/mL。因此,RSM模型提高了脂肪酶的产量,可用于实现脂肪酶的最大产量。