Kalaba Mohamed H, El-Sherbiny Gamal M, Darwesh Osama M, Moghannem Saad A
Botany and Microbiology Department, Faculty of Science (Boys), Al-Azhar University, Cairo 11884, Egypt.
Agricultural Microbiology Department, National Research Centre, Dokki, Cairo, Egypt.
Synth Syst Biotechnol. 2024 Feb 8;9(2):196-208. doi: 10.1016/j.synbio.2024.01.012. eCollection 2024 Jun.
The goal of this study was to use statistical optimization to change the nutritional and environmental conditions so that MH-133 could make more active metabolites. Twelve trials were used to screen for critical variables influencing productivity using the Placket-Burman Design method. MH-133 is significantly influenced by elicitation, yeast extract, inoculum size, and incubation period in terms of antibacterial activity. A total of 27 experimental trials with various combinations of these factors were used to carry out the response surface technique using the Box-Behnken design. The analyses revealed that the model was highly significant (p < 0.001), with a lack-of-fit of 0.212 and a coefficient determination (R2) of 0.9224. Additionally, the model predicted that the response as inhibition zone diameter would reach a value of 27 mm. Under optimal conditions, MH-133 produced 18.0 g of crude extract to each 35L and was purified with column chromatography. The active fraction exhibiting antibacterial activity was characterized using spectroscopic analysis. The MIC and MBC values varied between 37.5 and 300 μg/ml and 75 and 300 μg/ml, respectively. In conclusion, the biostatistical optimization of the active fraction critical variables, including environmental and nutritional conditions, enhances the production of bioactive molecules by species.
本研究的目的是利用统计优化方法改变营养和环境条件，使MH-133能产生更多的活性代谢产物。采用Placket-Burman设计方法进行了12次试验，以筛选影响生产率的关键变量。就抗菌活性而言，诱导、酵母提取物、接种量和培养时间对MH-133有显著影响。利用Box-Behnken设计，对这些因素的各种组合进行了总共27次试验，以开展响应面技术。分析表明，该模型具有高度显著性（p < 0.001），失拟度为0.212，决定系数（R2）为0.9224。此外，该模型预测，作为抑菌圈直径的响应值将达到27毫米。在最佳条件下，每35升MH-133可产生18.0克粗提物，并用柱色谱法进行纯化。利用光谱分析对表现出抗菌活性的活性组分进行了表征。最低抑菌浓度（MIC）和最低杀菌浓度（MBC）值分别在37.5至300微克/毫升和75至300微克/毫升之间变化。总之，对活性组分关键变量（包括环境和营养条件）进行生物统计学优化，可提高该菌种生物活性分子的产量。
