Statistical Based Bioprocess Design for Improved Production of Amylase from Halophilic Bacillus sp. H7 Isolated from Marine Water

Amylase (EC 3.2.1.1) enzyme has gained tremendous demand in various industries, including wastewater treatment, bioremediation and nano-biotechnology. This compels the availability of greater yields that can be achieved by employing potential amylase-producing cultures statistical optimization. The use Plackett–Burman design (PBD) evaluates medium components having two-level factorial designs help to determine factor its level increase yield product. In present work, we are reporting screening marine bacterial strain identified as Bacillus sp. H7 16S rRNA. two-stage optimization, i.e., PBD response surface methodology (RSM), using central composite (CCD) further improved production amylase. A 1.31-fold amylase was evident a 5.0 L laboratory-scale bioreactor. Statistical optimization gives exact idea variables influence enzymes, hence, approach offers best way optimize bioprocess. high catalytic efficiency (kcat/Km) from on soluble starch estimated 13.73 mL/s/mg.