Affiliation:
1. Department of Chemistry, Faculty of Wood Technology
2. Department of Horticulture, Faculty of Horticulture and Landscape Architecture , Poznan University of Life Sciences , Dąbrowskiego 159, Poznań , Poland
Abstract
Abstract
White rot fungi (WRF) are known to have the ability to degrade organic pollutants with a structure similar to lignin. Because of this, the degradation of polychlorinated biphenyls (PCBs) congeners no. 28, 52, 101, 138, 153 and 180 by substrate before fruiting (substrate) and/or after fruiting (SMS) from cultivated mushrooms Pleurotus ostreatus, Lentinula edodes and Agaricus bisporus was examined. The experiment was carried out in four replications for each treatment using a mixture of substrate/SMS and sandy soil with PCBs at a concentration of each congener at 50 and 100 μg kg−1 soil DW. The results indicate that degradation was dependent on substrate/SMS addition, the concentration of PCBs and time of incubation. The efficiency of PCB degradation was generally reduced with the number of chlorine atoms in the structure of congeners: 28, 52, 101, 138, 153 or 180. In all combinations, degradation increased with incubation time. Degradation by SMS was lower in comparison to degradation by a substrate of the same mushroom. The degree of degradation of a single PCB after 12 weeks of incubation for A. bisporus ranged from 31.32 ± 1.52 to 83.91 ± 1.07%, while for P. ostreatus it was between 37.88 ± 2.54 and 78.29 ± 1.41%; for L. edodes it ranged from 17.38 ± 1.06 to 75.30 ± 1.46%. The best average degradation was confirmed for 20% SMS of A. bisporus at 50 μg kg−1 PCB.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Investigating PCB degradation by indigenous fungal strains isolated from the transformer oil–contaminated site: degradation kinetics, Bayesian network, artificial neural networks, QSAR with DFT, molecular docking, and molecular dynamics simulation;Environmental Science and Pollution Research;2024-09-06
2. Investigating PCB degradation by Indigenous Fungal Strains Isolated from the Transformer Oil-Contaminated Site: Degradation Kinetics, Bayesian Network, Artificial Neural Networks, QSAR with DFT, Molecular Docking, and Molecular Dynamics Simulation;2024-06-21
3. Fungal-Based Land Remediation;Bio-Inspired Land Remediation;2023
4. Myco- and phyco-remediation of polychlorinated biphenyls in the environment: a review;Environmental Science and Pollution Research;2022-12-23
5. PCB-degradation kinetics of three fungal isolates and their consortium from paint scrape-contaminated site;Environmental Sustainability;2022-07-21