Mukherjee Suprabhat, Mukherjee Niladri, Roy Priya, Saini Prasanta, Sinha Babu Santi P
a Parasitology Laboratory, Department of Zoology (Centre for Advanced Studies) , Visva-Bharati University , Santiniketan , West Bengal , India.
Prep Biochem Biotechnol. 2016 Jul 3;46(5):440-5. doi: 10.1080/10826068.2015.1045614.
The present study reports statistical optimization of growth conditions of an opportunistic fungal strain Pichia guilliermondii, isolated from the blood of patients suffering from bancroftian filariasis. Seven key determinants, namely, primary inoculums size (%), volume (mL) and pH of media, serum proportion, temperature (°C), incubation time (hr), and agitation speed (rpm) that influence in vitro growth of the pathogen were optimized statistically using response surface methodology (RSM). RSM with seven factors and two-level Box-Behnken design was employed for designing experimental run, prediction of case statistics, suitable exploration of quadratic response surfaces, and constructing a second-order polynomial equation. Analysis of variance (ANOVA) showed that primary inoculums size, volume of culture media, temperature, incubation time, and agitation speed exert most significant influence over fungal growth. The RSM study predicted that optimum fungal growth can be obtained using 10% primary inoculums size in 100 mL culture media with pH 6.0, 6.28% serum, 32.5°C temperature, and 24 hr of incubation, alongside agitation speed at 400 rpm. The desirability of the optimized growth model for P. guilliermondii is 99.123%, which indicated its accuracy and acceptability. Finally, the optimized growth module illustrated in the study could be useful in improving in vitro growth of clinically important P. guilliermondii.
本研究报告了从班氏丝虫病患者血液中分离出的机会性真菌菌株季也蒙毕赤酵母生长条件的统计优化。使用响应面法(RSM)对影响该病原体体外生长的七个关键决定因素进行了统计优化,这七个因素分别是初始接种量(%)、培养基体积(mL)和pH值、血清比例、温度(°C)、培养时间(小时)和搅拌速度(转/分钟)。采用具有七个因素和二级Box-Behnken设计的RSM来设计实验运行、预测案例统计数据、适当地探索二次响应面并构建二阶多项式方程。方差分析(ANOVA)表明,初始接种量、培养基体积、温度、培养时间和搅拌速度对真菌生长的影响最为显著。RSM研究预测,在100 mL培养基中使用10%的初始接种量、pH值为6.0、血清含量为6.28%、温度为32.5°C、培养24小时并以400转/分钟的搅拌速度,可以获得最佳的真菌生长。季也蒙毕赤酵母优化生长模型的可取性为99.123%,这表明了其准确性和可接受性。最后,本研究中所示的优化生长模型可能有助于改善临床上重要的季也蒙毕赤酵母的体外生长。