Statistical optimization of thermostable alkaline protease from Bacillus cereus KM 05 using response surface methodology

Jayakumar, Devi; Sachith, Sunish Kadayil; Nathan, Vinod Kumar; Rishad, K. S.

doi:10.1007/s10529-021-03172-4

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Optimization Using Rsm1

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2022

2024

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Cited by 6 publications

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“…It was explored that the predicted model has high value of R 2 . 1.5 fold increased in protease production obtained ( Jayakumar et al, 2021). Similarly, Shakir et al (2019) reported the production of alkaline proteases from Bacillus safensis using RSM for optimization under submerged fermentation.…”

Section: Optimization Using Rsmmentioning

confidence: 83%

Statistical Optimization of Alkaline Protease Production by Newly Isolated Bacillus Strain using Industrial Skin Waste as a Novel Substrate

Ullah¹,

Nadeem²,

Rehman³

et al. 2022

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pharmaceutical companies and detergent producing industries (Kumar et al., 2012). These catalysts can be roughly calculated for 60 to 65% of the world enzymes market which easily made them to be the most efficient and widely used in term of their industrial usages (Laxman et al., 2005). Proteases are enzymes which hydrolyses peptide bonds among amino acids groups of proteins. The hydrolytic enzymes are accounted for almost 75% of the global sales for industrial usages which are used in different areas along with proteolytic enzymes that are almost 60% in them (Ningthoujam et al., 2009;Chu, 2007).Alkaline proteases are among the most important groups of commercially used enzymes which are

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Section: Optimization Using Rsmmentioning

confidence: 83%