Production and Characterization of a Halo-, Solvent-, Thermo-tolerant Alkaline Lipase by Staphylococcus arlettae JPBW-1, Isolated from Rock Salt Mine

BioMed Research International

2013

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Lipases are the enzymes of choice for laundry detergent industries owing to their triglyceride removing ability from the soiled fabric which eventually reduces the usage of phosphate-based chemical cleansers in the detergent formulation. In the present study, a partially purified bacterial lipase from Staphylococcus arlettae JPBW-1 isolated from the rock salt mine has been assessed for its triglyceride removing ability by developing a presoak solution so as to use lipase as an additive in laundry detergent formulations. The effects of selected surfactants, commercial detergents, and oxidizing agents on lipase stability were studied in a preliminary evaluation for its further usage in the industrial environment. Partially purified lipase has shown good stability in presence of surfactants, commercial detergents, and oxidizing agents. Washing efficiency has been found to be enhanced while using lipase with 0.5% nonionic detergent than the anioinic detergent. The wash performance using 0.5% wheel with 40 U lipase at 40°C in 45 min results in maximum oil removal (62%) from the soiled cotton fabric. Hence, the present study opens the new era in enzyme-based detergent sector for formulation of chemical-free detergent using alkaline bacterial lipase.

Section: Methodsmentioning

confidence: 99%

Evaluation of a New Lipase fromStaphylococcussp. for Detergent Additive Capability

BioMed Research International

2013

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“…Having a multifold industrial application, a continuous search for extremophilic lipases is underway which can withstand the harsh industrial process conditions. Hence, in the present investigation we have utilized RSM integrated GA based approach for optimization of lipase production by extremophilic [13] S. arlettae through SmF for enhanced lipase yield.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Optimization Studies on a Novel Lipase Production by Staphylococcus arlettae through Submerged Fermentation

2013

Enzyme Research

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Microbial enzymes from extremophilic regions such as hot spring serve as an important source of various stable and valuable industrial enzymes. The present paper encompasses the modeling and optimization approach for production of halophilic, solvent, tolerant, and alkaline lipase from Staphylococcus arlettae through response surface methodology integrated nature inspired genetic algorithm. Response surface model based on central composite design has been developed by considering the individual and interaction effects of fermentation conditions on lipase production through submerged fermentation. The validated input space of response surface model (with R 2 value of 96.6%) has been utilized for optimization through genetic algorithm. An optimum lipase yield of 6.5 U/mL has been obtained using binary coded genetic algorithm predicted conditions of 9.39% inoculum with the oil concentration of 10.285% in 2.99 hrs using pH of 7.32 at 38.8°C. This outcome could contribute to introducing this extremophilic lipase (halophilic, solvent, and tolerant) to industrial biotechnology sector and will be a probable choice for different food, detergent, chemical, and pharmaceutical industries. The present work also demonstrated the feasibility of statistical design tools integration with computational tools for optimization of fermentation conditions for maximum lipase production.

“…23 The culture was centrifuged at 5367g for 15 min at 4°C, and the supernatant was partially purified by ammonium sulfate precipitation (60%).…”

Section: Preparation Of Enzyme Solutionmentioning

confidence: 99%

Modeling Embedded Optimization Strategy for the Formulation of Bacterial Lipase-Based Biodetergent

2013

Ind. Eng. Chem. Res.

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Lipase-based detergent formulations are a viable substitute for chemical detergents that pose health and environmental hazards to customers and society. In this study, the efficacy of Staphylococcus arlettae JPBW-1 lipase as an additive in laundry detergent was assessed for oil removal through modeling and optimization using a response-surface-methodologyintegrated genetic algorithm. A three-level five-factorial central composite design was used to evaluate the interactive effects on oil removal percentage from cotton fabric of process conditions, namely, detergent concentration, lipase concentration, buffer pH, washing temperature, and washing time. The input space of the validated response surface methodology (RSM) model (R 2 value of 97.7%) was utilized for genetic algorithm (GA) optimization. An optimum value of 79.6% oil removal was achieved with the GA-predicted process variables of 0.69% detergent, 47.37 U of lipase, buffer pH of 7.2, and washing temperature of 37.18°C in 26.11 min, which was 27% more than the oil removal without lipase. Hence, lipase from S. arlettae JPBW-1 can be effectively used as an additive in laundry detergent for oil removal from soiled fabric and introduces a new lipase into the biobased detergent industry.