Biotechnological Stratagems for the Production of Microbial Bioplastics and Its Commercial Applications
TL;DR
The response surface methodology functions as a robust approach to investigate and explore the independent and interactive effects of variables on PHA production, and is a highly effective and dependable statistical tool for evaluating the factors influencing PHA production.
Abstract
Different bacteria, fungi, and algae have been reported to synthesize the biopolymer PHA; nonetheless, it is still possible to isolate effective wild-type bacteria that produce PHA. The many harsh settings may serve as possible habitats for bacteria that synthesize PHA. PHA is used in many different sectors, although its production costs are often extremely high. Process parameter optimization has long been recognized as a means of increasing PHA yield and manufacturing in large quantities. The traditional optimization approach focuses primarily on studying one element at a time and obscures the interactions between two or more factors that have an impact on output. Optimizing the carbon and nitrogen sources is necessary to increase PHA synthesis because medium components, pH, temperature, and agitation speed all have an impact on PHA production. When several parameters are taken into consideration, Plackett-Burman statistical modeling offers a novel method of sorting through the components and determining which ones are relevant. The response surface methodology functions as a robust approach to investigate and explore the independent and interactive effects of variables on PHA production. It is a highly effective and dependable statistical tool for evaluating the factors influencing PHA production.