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Parameter optimization for thermostable lipase production and performance evaluation as prospective detergent additive.
Preparative Biochemistry & Biotechnology ( IF 2.9 ) Pub Date : 2020-02-03 , DOI: 10.1080/10826068.2020.1719513
Rajesh Kumar Sahoo 1 , Aradhana Das 1 , Mahendra Gaur 1 , Anshuman Sahu 1 , Saubhagini Sahoo 1 , Suchanda Dey 1 , Pattanathu K S M Rahman 2 , Enketeswara Subudhi 1
Affiliation  

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.



中文翻译:

用于热稳定脂肪酶生产的参数优化和作为预期洗涤剂添加剂的性能评估。

基于脂肪酶的配方对洗衣洗涤剂行业的兴趣日益浓厚,因为它们具有优于磷酸盐的同类产品的环保特性以及与化学洗涤剂成分的相容性。热稳定的芽孢杆菌属。分离自印度塔帕塔帕尼温泉的ARS-1通过使用芥末饼进行固体底物发酵(SSF),在四个独立变量(温度,pH,%水分和生物表面活性剂)下,采用统计模型中央复合设计(CCD),通过统计模型中央组合设计(CCD)表征了最佳脂肪酶生产。使用响应面方法(RSM)利用输出来查找参数的影响及其相互作用。R 2的二次回归 = 0.955的模型建立了静态最佳拟合模型,并在57.5°C,pH 8.31、50%水分和1.2 mg生物表面活性剂的最佳温度下预测的最高脂肪酶产量为29.4 IU / g。在上述条件下30.3 IU / g脂肪酶的实验生产证明了模型的适用性。嗜氧芽孢杆菌 发现ARS-1产生的脂肪酶几乎可以抵抗所有化学洗涤剂和普通洗衣洗涤剂,证明它是掺入的潜在添加剂。

更新日期:2020-02-03
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