2022
DOI: 10.1186/s43141-021-00284-2
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Response surface methodology mediated optimization of Lignin peroxidase from Bacillus mycoides isolated from Simlipal Biosphere Reserve, Odisha, India

Abstract: Background Lignin is a complex polymer of phenyl propanoid units found in the vascular tissues of the plants as one of lignocellulose materials. Many bacteria secrete enzymes to lyse lignin, which can be essential to ease the production of bioethanol. Current research focused on the study of ligninolytic bacteria capable of producing lignin peroxidase (LiP) which can help in lignin biodegradation and bioethanol production. Ligninolytic bacterial strains were isolated and screened from the soil … Show more

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Cited by 10 publications
(2 citation statements)
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“…Optimization with respect to conditions that affect enzyme (in this case, amylase) production, including culture ingredients and conditions, is critical for increasing enzyme yields while decreasing production costs, but can be a time-consuming and costly process [37,38]. Response surface methodology (RSM) is a well-known tool that can be used to rapidly optimize medium components and other vital parameters responsible for enzyme production based on a set of mathematical and statistical algorithms [25]. In the present study, RSM was used with PBD to assess the relative importance of different medium ingredients for amylase production using a submerged culture of A. apis, and the crucial factors were determined as maltose, CaCl 2 , and pH value.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Optimization with respect to conditions that affect enzyme (in this case, amylase) production, including culture ingredients and conditions, is critical for increasing enzyme yields while decreasing production costs, but can be a time-consuming and costly process [37,38]. Response surface methodology (RSM) is a well-known tool that can be used to rapidly optimize medium components and other vital parameters responsible for enzyme production based on a set of mathematical and statistical algorithms [25]. In the present study, RSM was used with PBD to assess the relative importance of different medium ingredients for amylase production using a submerged culture of A. apis, and the crucial factors were determined as maltose, CaCl 2 , and pH value.…”
Section: Discussionmentioning
confidence: 99%
“…RSM merges experimental strategies with mathematical methods and statistical inference to determine and select specific experimental designs, build models, and explore relationships between response variable(s) and a set of design variables [22,23]. This method is increasingly being used to optimize various processes in food chemistry, material science, chemical engineering, enzyme applications, and microbiology [24][25][26]. The enzyme was purified from culture supernatants, and its activity was characterized.…”
Section: Introductionmentioning
confidence: 99%