Abstract

This study highlighted the exploitation of mathematical models for optimizing the growth conditions that give the highest phosphatase productivity from a newfound Lysinibacillus sp. strain APSO isolated from a slime sample. Mathematical models facilitate data interpretation and provide a strategy to solve fermentation problems. Alkaline phosphatase (ALP) throughput was enhanced by 16.5-fold compared to basal medium based on a sequential optimization strategy that depended on two-level Plackett–Burman design and central composite design. The additional improvement for volumetric productivity and specific production yield was followed in a 7 L bench-top bioreactor to evaluate microbial growth kinetics under controlled and uncontrolled pH conditions. The pH-controlled batch cultivation condition neither supported cell growth nor enhanced ALP productivity. In contrast, the uncontrolled pH batch cultivation condition provided the highest ALP output (7119.4 U L−1) and specific growth rate (µ = 0.188 h−1) at 15 h from incubation time, which was augmented > 20.75-fold compared to the basal medium. To the authors’ knowledge, this study is the second report that deals with how to reduce the production cost of the ALP production process via utilization of agro-industrial waste, such as molasses and food waste (eggshell), as a nutrimental source for the improvement of the newfound Lysinibacillus sp. strain APSO ALP throughput.

Highlights

  • This study highlighted the exploitation of mathematical models for optimizing the growth conditions that give the highest phosphatase productivity from a newfound Lysinibacillus sp. strain APSO isolated from a slime sample

  • The pure isolates were screened to produce extracellular Alkaline phosphatase (ALP) using chromogenic agar medium, such as methyl green (MG)-phenolphthalein diphosphate (PDP) agar and rich medium supplemented with ρ-nitrophenyl phosphate

  • A > 9.5-fold improvement in the efficiency of ALP yield was achieved by Plackett–Burman design (PBD) compared to the initial basal medium

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Summary

Introduction

This study highlighted the exploitation of mathematical models for optimizing the growth conditions that give the highest phosphatase productivity from a newfound Lysinibacillus sp. strain APSO isolated from a slime sample. This study highlighted the exploitation of mathematical models for optimizing the growth conditions that give the highest phosphatase productivity from a newfound Lysinibacillus sp. The uncontrolled pH batch cultivation condition provided the highest ALP output (7119.4 U ­L−1) and specific growth rate (μ = 0.188 h­ −1) at 15 h from incubation time, which was augmented > 20.75-fold compared to the basal medium. Owing to the multiple vital roles of bacterial phosphatases in molecular regulatory activities, cell signaling regulation, and phosphate homeostasis, bacterial phosphatases have gained attention in recent decades, as they appear to have great potential in the fields of molecular biology and immunodetection and are being exploited in environmental and agricultural biotechnology and animal f­eeding[4]

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