Enhanced lipase recovery through RSM integrated differential evolutionary approach from the fermented biomass

Abstract

ABSTRACT

Realm of Thermoalkaline Lipases in Bioprocess Commodities

“…The standard LM algorithm uses trial-and-error method to estimate the damping factor and is less reliable for large-scale inverse problems [ 107 ]. In recent decades, there has been a growing interest in optimization based on the principle of EAs (survival of the fittest) which includes Genetic Algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Evolutionary Programming (EP), Evolution Strategies (ES), and Genetic Programming (GP) [ 105 , 108 – 111 ]. EAs have turn out to be very popular as function optimizers, because they are easy to implement and show fair performance for a broad range of functions.…”

“…In another study, a maximal lipase activity of 134.13 U/gds was obtained which was higher than using OFAT approach (36.28 U/gds) under DE-optimized values (DMSO, 25%; buffer, 40 mM; soaking time, 128.5 min; temperature, 35°C) and DE-control parameters (number of population, 20; generations, 50; crossover operator, 0.5; scaling factor, 0.25). The use of DE approach has improved the optimization capabilities and decision speed, resulting in an improved extracellular R. oryzae lipase yield (36.28 U/gds) as compared to the OFAT approach [ 108 ]. The developed model and its optimization are generic to biological world, hence, appearing to be practical for the design and scale-up process of the lipase production by R. oryzae via SSF [ 108 ].…”

“…The use of DE approach has improved the optimization capabilities and decision speed, resulting in an improved extracellular R. oryzae lipase yield (36.28 U/gds) as compared to the OFAT approach [ 108 ]. The developed model and its optimization are generic to biological world, hence, appearing to be practical for the design and scale-up process of the lipase production by R. oryzae via SSF [ 108 ].…”

Nghiên Cứu Tối Ưu Điều Kiện Sản Xuất Sinh Khối Nấm Men Saccharomyces Cerevisiae SC2.75

“…Phương pháp đáp ứng bề mặt (RSM) là một công cụ linh hoạt và hiệu quả, cung cấp các thông tin cần thiết trong các ảnh hưởng của các biến số quy trình và tổng quan các sai số thực nghiệm nhỏ nhất. RSM được áp dụng rộng rãi để tối ưu thông số quá trình nuôi cấy để sản xuất lipase và cồn sinh học (Garlapati et al, 2013;Hamouda et al, 2015). Mục đích của nghiên cứu này là tối ưu điều kiện lên men nấm men sử dụng rỉ đường như nguồn carbon cho sinh khối nấm men lớn nhất.…”