Huang Di, Jiang Yan, Zhao Kui, Qin Fang, Yuan Yuan, Xia Bin, Jiang Guangming
Engineering Research Centre for Waste Oil Recovery Technology and Equipment, Ministry Education, Chongqing Technology and Business University, Chongqing, 400067, China.
School of Chemical Safety, North China Institute of Science and Technology, Sanhe, 065201, China.
World J Microbiol Biotechnol. 2025 Jan 9;41(2):27. doi: 10.1007/s11274-024-04247-w.
In recent years, it has become widely acknowledged that heavy metals are often present in oil-contaminated sites. This study utilized three specific types of microorganisms with different functions to construct a composite bacterial consortium for treating lubricant-Cr(VI) composite pollutants. The selected strains were Lysinbacillus fusiformis and Bacillus tropicus. The Back Propagation Neural Network-genetic algorithm was employed to optimize the secondary bacterial addition time to 67 h and the strain ratio to 2:1. The optimized process involved the use of 4.6 g/L glucose and ammonium oxalate as electron donors. After 6 days of treatment with the composite consortium, the removal rates of 1500 mg/L lubricating oil and 50 mg/L chromium reached 90.3% and 84.2%, respectively. Initial analysis using three-dimensional fluorescence to examine the changes in extracellular polymers in the bacteria when exposed to chromium-lubricating oil, showed that 30 mg/L Cr(VI) could induce the secretion of extracellular protein-like substances. These substances may be directly or indirectly involved in the biological detoxification mechanism of chromium. The synergistic removal of complex pollutants has the potential to transform previous "unilateral" removal studies and enhance bioremediation efficiency.
近年来,人们普遍认识到重金属常常存在于受石油污染的场地中。本研究利用三种功能不同的特定类型微生物构建了一个复合菌群,用于处理润滑剂 - 铬(VI)复合污染物。所选菌株为梭形赖氨酸芽孢杆菌和热带芽孢杆菌。采用反向传播神经网络 - 遗传算法将二次投菌时间优化至67小时,菌株比例优化至2:1。优化后的工艺使用4.6 g/L葡萄糖和草酸铵作为电子供体。用复合菌群处理6天后,1500 mg/L润滑油和50 mg/L铬的去除率分别达到90.3%和84.2%。最初利用三维荧光分析细菌在接触铬 - 润滑油时细胞外聚合物的变化,结果表明30 mg/L的铬(VI)可诱导分泌类蛋白质细胞外物质。这些物质可能直接或间接参与铬的生物解毒机制。复合污染物的协同去除有可能改变以往的“单边”去除研究,并提高生物修复效率。