Response surface methodology for optimization of media components for production of lipase from Bacillus Subtilis KUBT4

枯草芽孢杆菌 脂肪酶 响应面法 生产(经济) 食品科学 化学 生物 色谱法 生物化学 细菌 经济 遗传学 宏观经济学
作者
Rubeen Dadakalandar Nadaf,Peerambi Nadaf,MakhadumsabM Toragall,Sisli Ct
出处
期刊:archives of razi institute 卷期号:: 659-668
标识
DOI:10.32592/ari.2024.79.3.659
摘要

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.

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