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Parameter optimization for thermostable lipase production and performance evaluation as prospective detergent additive

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https://figshare.com/articles/dataset/Parameter_optimization_for_thermostable_lipase_production_and_performance_evaluation_as_prospective_detergent_additive/11794191
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Lipase based formulations has been a rising interest to laundry detergent industry for their eco-friendly property over phosphate-based counterparts and compatibility with chemical detergents ingredients. A thermo-stable Anoxybacillus sp. ARS-1 isolated from Taptapani Hotspring, India was characterized for optimum lipase production employing statistical model central composite design (CCD) under four independent variables (temperature, pH, % moisture and bio-surfactant) by solid substrate fermentation (SSF) using mustard cake. The output was utilized to find the effect of parameters and their interaction employing response surface methodology (RSM). A quadratic regression with R2 = 0.955 established the model to be statically best fitting and a predicted highest lipase production of 29.4 IU/g at an optimum temperature of 57.5 °C, pH 8.31, moisture 50% and 1.2 mg of bio-surfactant. Experimental production of 30.3 IU/g lipase at above conditions validated the fitness of model. Anoxybacillus sp. ARS-1 produced lipase was found to resist almost all chemical detergents as well as common laundry detergent, proving it to be a prospective additive for incorporation.

脂肪酶基洗涤剂制剂因相较磷酸盐基同类产品具备环境友好特性,且可与洗涤剂化学组分兼容,正日益受到洗衣洗涤剂产业的关注。本研究以从印度塔普塔帕尼温泉分离得到的耐热型厌氧芽孢杆菌属(Anoxybacillus)菌株ARS-1为研究对象,采用菜籽饼粕作为固态发酵(SSF)底物,通过中心复合设计(CCD)统计模型,在温度、pH、水分含量及生物表面活性剂四个独立变量条件下,对其最优脂肪酶生产条件进行表征。利用发酵所得结果,通过响应面法(RSM)分析各参数及其交互作用对脂肪酶产量的影响。R²=0.955的二次回归模型证实该模型统计学拟合效果最优,且预测得到最优条件下的脂肪酶最高产量为29.4 IU/g,该最优条件为:温度57.5℃、pH 8.31、水分含量50%、生物表面活性剂添加量1.2 mg。在上述最优条件下进行的实验验证中,实际脂肪酶产量可达30.3 IU/g,证实了该模型的拟合有效性。经检测,该菌株所产脂肪酶可耐受绝大多数化学洗涤剂及市售普通洗衣洗涤剂,证明其具备作为洗衣洗涤剂添加组分的应用潜力。
创建时间:
2020-02-03
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