首页|基于层次决策分析法构建多环芳烃高效降解菌群的研究

基于层次决策分析法构建多环芳烃高效降解菌群的研究

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以潮间带沉积物为菌源分离出5株多环芳烃高效降解菌,基于层次决策分析法(Analytic Hierarchy Process,AHP)构建了多环芳烃高效降解菌群.利用层次决策分析法,对细菌的降解率及代谢活性进行比较,并通过不同的赋值方式,构建了3组多环芳烃降解菌群:AHP-1(主观温和赋值组)、AHP-2(主观极端赋值组)、AHP-3(客观赋值组).实验结果表明,菌群的降解速率显著高于单菌的降解速率.在此基础上,以等比例方式混合细菌作为对照组,研究了以上4组菌群的降解率和代谢活性.结果表明,1 d内,AHP-3取得了较高的PAHs降解率(64.02%),高于AHP-1(58.75%)、AHP-2(55.17%)及对照组(54.98%).利用层次决策分析法这种尚未报道过的新型构建菌群的手段,可以提高PAHs的降解速率,因此,可以作为一种方法,为菌群的构建提供理论基础.
Microbial mixed culture for efficient degradation of polycyclic aromatic hydrocarbons using analytical hierarchy process
Five strains of efficient polycyclic aromatic hydrocarbons(PAHs)degrading bacte-ria were isolated from intertidal zone sediments,and the efficient PAHs degrading bacteria group was constructed based on the analytical hierarchy process(AHP).The AHP was used to compare the degradation rate and metabolic activity of bacteria in pairs,and three groups of PAHs degrading bacteria were constructed through different evaluation methods,namely AHP-1(subjective mild evaluation group),AHP-2(subjective extreme evaluation group)and AHP-3(objective evaluation group).The experimental results indicate that the degrada-tion rate of the microbial community is significantly higher than that of a single bacterium.On this basis,a control group was constructed by mixing bacteria in an equal proportion,and the degradation performance and metabolic characteristics of the above four bacterial groups were studied.The results showed that within one day,AHP-3 achieved a high degra-dation rate of PAHs(64.02%),which was higher than that of AHP-1(58.75%),AHP-2(55.17%)and the control group(54.98%).The AHP,a new method of constructing flora that has not yet been reported,can improve the degradation rate of PAHs.Therefore,it can be used as a model method to provide a theoretical basis for the construction of flora.

polycyclic aromatic hydrocarbons(PAHs)Biolog-ECO plate analysisanalytic hierarchy process(AHP)construction of strain

李瑞凤、陈茜蓓、林苏丹、麻微微、施雪卿

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青岛理工大学 环境与市政工程学院,青岛 266525

多环芳烃 Biolog生态板 层次决策分析法 菌群构建

2024

青岛理工大学学报
青岛理工大学

青岛理工大学学报

影响因子:0.514
ISSN:1673-4602
年,卷(期):2024.45(5)