Statistical optimization of medium components for biosurfactant production by Pseudomonas guguanensis D30

Statistical optimization of medium components for biosurfactant production by Pseudomonas guguanensis D30
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谷关假单胞菌 D30 生产生物表面活性剂培养基成分的统计优化

DOI:
10.1080/10826068.2021.1922919
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发表时间:
2021
影响因子:
2.9
通讯作者:
Kiransinh N. Rajput
Kiransinh N. Rajput
中科院分区:
工程技术4区
文献类型:
--
作者:
Dimple S. Pardhi;R. Panchal;V. Raval;Kiransinh N. Rajput

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摘要报道了Guguanensis D30在浸没条件下使用矿物油生产生物表面活性剂的情况。采用Plackett-Burman试验设计对12种培养基组分进行了2个水平的试验,其中矿物油、酵母膏、蛋白胨、MgSO 4和CaCl 2的乳化指数达到显著水平。通过中心组合设计(CCD)进一步优化这5个显著性组分。实验设计成功地用于回归分析,显著性模型建议10%(v/v)矿物油、3.0 g/L(w/v)酵母膏和0.2 g/L(w/v)蛋白胨的溶液13.14 g/L预测生物表面活性剂的产生。在此条件下,发酵液中生物表面活性剂的产量为13.34 ± 0.08g/L,比传统的单因子发酵(7.126 ± 0.12g/L)提高了近一倍。它将介质的表面张力降低至28 ± 1.2 mN/m。我们发现乙酸乙酯是一个合适的溶剂中提取生物表面活性剂的甲醇,氯仿,甲醇:氯仿。通过傅里叶变换红外光谱(FT-IR)对部分纯化的生物表面活性剂进行了化学表征,确定其为脂肽。图形摘要
Abstract Biosurfactant production by Pseudomonas guguanensis D30 was reported using mineral oil in submerged condition. Twelve medium components were tested at two levels by Plackett–Burman design, among them, mineral oil, yeast extract, peptone, MgSO4, and CaCl2 found significant on the basis of emulsification index. These five significant components were further optimized through central composite design (CCD). The experimental design was successfully used for regression analysis and the significant model suggested the solution of 10% (v/v) mineral oil, 3.0 g/L (w/v) yeast extract and 0.2 g/L (w/v) peptone for 13.14 g/L predicted biosurfactant production. We kept the suggested concentrations of medium components and got 13.34 ± 0.08 g/L biosurfactant production, which is almost double the conventional one-factor-at-a-time production (7.126 ± 0.12 g/L). It reduced the surface tension of the medium up to 28 ± 1.2 mN/m. We found ethyl acetate a suitable solvent for biosurfactant extraction amongst methanol, chloroform, and methanol:chloroform. The partially purified biosurfactant was chemically characterized as lipopeptide by Fourier transform infrared spectroscopy (FT-IR). Graphical Abstract
DOI: 10.1016/j.procbio.2016.04.007
发表时间: 2016-07-01
影响因子: 4.4
作者:
De Rienzo, M. A. Diaz;Kamalanathan, I. D.;Martin, P. J.
通讯作者: Martin, P. J.