{"title":"Optimizing α-amylase production by an extremely halophilic archaeon Haloferax mucosum MS1.4, using response surface methodology","authors":"Kannapally Punjumpiduka Neethu , Kizhakkecheruvil Sivadas Sobhana , Rajendra Babu Keerthi , Eldho Varghese , Lakshmanan Ranjith , Salma Jasmine , Kunnummel Krishnan Joshi , Grinson George","doi":"10.1016/j.mimet.2025.107136","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigated α-amylase production potential of the haloarchaeal strain <em>Haloferax mucosum</em> MS1.4 (NCBI GenBank Acc. No. OL780830), isolated from a solar saltpan located in Tamil Nadu, southern India. The enzyme was partially purified and characterized, employing SDS-PAGE analysis indicating a molecular mass of approximately 67 kDa. In order to optimize the conditions for maximizing α-amylase production, a two-step statistical approach was adopted. The initial phase involved using a Plackett-Burman Design (PBD) to determine the primary factors affecting enzyme production. PBD identified incubation time, starch concentration and NaCl concentration as the most significant variables influencing enzyme yield. These factors were further optimized using Box-Behnken Design (BBD) under Response Surface Methodology (RSM). Maximum α-amylase production of 955.97 units min<sup>−1</sup> was obtained under the optimized conditions of 1.62 % starch; 29.88 % NaCl and an incubation period of 144 h (6 days). The findings highlight the potential of <em>H. mucosum</em> MS1.4 as a promising candidate for industrial enzyme production under high-saline conditions.</div></div>","PeriodicalId":16409,"journal":{"name":"Journal of microbiological methods","volume":"232 ","pages":"Article 107136"},"PeriodicalIF":1.7000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of microbiological methods","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167701225000521","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigated α-amylase production potential of the haloarchaeal strain Haloferax mucosum MS1.4 (NCBI GenBank Acc. No. OL780830), isolated from a solar saltpan located in Tamil Nadu, southern India. The enzyme was partially purified and characterized, employing SDS-PAGE analysis indicating a molecular mass of approximately 67 kDa. In order to optimize the conditions for maximizing α-amylase production, a two-step statistical approach was adopted. The initial phase involved using a Plackett-Burman Design (PBD) to determine the primary factors affecting enzyme production. PBD identified incubation time, starch concentration and NaCl concentration as the most significant variables influencing enzyme yield. These factors were further optimized using Box-Behnken Design (BBD) under Response Surface Methodology (RSM). Maximum α-amylase production of 955.97 units min−1 was obtained under the optimized conditions of 1.62 % starch; 29.88 % NaCl and an incubation period of 144 h (6 days). The findings highlight the potential of H. mucosum MS1.4 as a promising candidate for industrial enzyme production under high-saline conditions.
期刊介绍:
The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach.
All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.