An approach toward optimization of the influential growth determinants of opportunistic yeast isolate Pichia guilliermondii

作者：Mukherjee Suprabhat; Mukherjee Niladri; Roy Priya; Saini Prasanta; Babu Santi P Sinha^*

来源：Preparative Biochemistry & Biotechnology, 2016, 46(5): 440-445.

DOI：10.1080/10826068.2015.1045614

• ANOVA
• Box-Behnken design
• Pichia guilliermondii
• response surface methodology

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 (degrees 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 100mL culture media with pH 6.0, 6.28% serum, 32.5 degrees C temperature, and 24hr of incubation, alongside agitation speed at 400rpm. 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.

• 出版日期2016