Centre for Bio-innovation and Product Development, Department of Biotechnology & Microbiology, Kannur University, Dr. Janaki Ammal Campus, Thalassery, Kannur 670661, Kerala, India.
Centre for Bio-innovation and Product Development, Department of Biotechnology & Microbiology, Kannur University, Dr. Janaki Ammal Campus, Thalassery, Kannur 670661, Kerala, India.
Bioresour Technol. 2020 Jul;308:123328. doi: 10.1016/j.biortech.2020.123328. Epub 2020 Apr 6.
Response surface methodology (RSM) was used to optimize the process parameters for maximizing the biomass production of Purpureocillium lilacinum KU8 using wheat bran as substrate under solid-state fermentation (SSF). The experiments of one-factor-at-a-time approach (OFAT) for central composite design (CCD) to analyze the response pattern brought out the parameters for maximum biomass production. Moisture content, yeast extract and incubation time were found to be the three significant, independent variables responsible for maximum biomass production. The biomass production was 107.46 mg/gdfs which was 1.35 times higher than that of OFAT method and 3.01 times higher than the randomly selected conditions. The optimum conditions established by RSM method for the maximum biomass production are 67.98%, 2.29% and 142.2 h respectively for moisture content, yeast extract and incubation time. The biomass thus produced had quantitatively comparable results in bio-nematicide effectiveness.
响应面法(RSM)用于优化固态发酵(SSF)中以麦麸为基质生产紫色毛壳菌 KU8 的生物量的工艺参数,以实现最大产量。单因素实验法(OFAT)用于中心复合设计(CCD)的实验分析得出了最大生物量生产的参数。发现水分含量、酵母提取物和培养时间是三个显著的独立变量,负责最大生物量的产生。生物量的产生为 107.46 mg/gdfs,比 OFAT 方法高 1.35 倍,比随机选择的条件高 3.01 倍。RSM 方法确定的最大生物量生产的最佳条件分别为水分含量 67.98%、酵母提取物 2.29%和培养时间 142.2 h。由此产生的生物量在生物杀线虫剂效果方面具有定量可比的结果。