摘要
本研究针对多环芳烃(polycyclic aromatic hydrocarbons, PAHs)污染问题,从东北大庆石油污染土筛选并鉴定了一株高效降解萘的细菌。通过形态观察、生理生化特性分析及16S rDNA基因序列同源性比较,确定该菌株为Bacillus cereus XC-6。实验结果表明,该菌株对多种苯系物具有较好的降解效果,菌株XC-6在30℃条件下120 h完全降解1 000 mg/L萘、50 mg/L苊、50 mg/L二苯并呋喃、80%芴、30%二苯并噻吩以及40%菲,同时采用XC-6在有氧条件下合成并负载纳米金颗粒进行萘的协同降解,使其较单菌降解速率提升20%,96 h实现完全降解。通过优化培养条件,发现该菌株在适宜的温度、pH和接种量条件下,降解效率进一步提高。本研究为多环芳烃污染土壤的生物修复提供了理论依据和菌种资源,具有一定的应用前景。同时,为进一步研究该菌株负载纳米材料的降解机制和扩大其在环境治理中的应用奠定了基础。
To address polycyclic aromatic hydrocarbons(PAHs)pollution,a naphthalene-degrading bacteria was screened and identified from oil-contaminated soil in Daqing,northern China.Through morphological observation,physiological/biochemical characterization,and 16S rDNA sequence analysis,the strain was identified as Bacillus cereus XC-6.The results showed that the strain XC-6 could degrade 1000 mg/L naphthalene,50 mg/L acenaphthene,50 mg/L dibenzofuran,80%fluorene,30%dibenzothiophene,and 50%phenanthrene within 120 h at 30℃.When XC-6 was combined with gold nanoparticles synthesized under aerobic conditions,the naphthalene degradation rate increased by 20%compared to that of bacterial treatment alone,reaching complete degradation within 96 h.By optimizing the culture conditions,it was found that the degradation efficiency of the strain was further improved under suitable temperature,pH and oxygen conditions.This study provided theoretical basis and bacterial resources for the bioremediation of PAH contaminated soil,demonstrating promising application potential.Meanwhile,it established a foundation for investigating nanomaterial-assisted degradation mechanisms and expanding its applications in environmental applications.
作者
曾现程
王梓丞
杜国标
沈莺
龚玉华
武超
邓国志
ZENG Xiancheng;WANG Zicheng;DU Guobiao;SHEN Ying;GONG Yuhua;WU Chao;DENG Guozhi(College of Resources and Environmental Engineering,Anhui University,Hefei 230000,China;Anhui Province Engineering Laboratory for Mine Ecological Remediation,Hefei 230000,China;School of Life Sciences,Anhui University,Hefei 230000,China)
出处
《生物学杂志》
北大核心
2026年第1期32-38,共7页
Journal of Biology
基金
安徽高校自然科学重点研究项目(2023AH050107)。
