| Literature DB >> 35564766 |
Huiting Li1, Fang Chang1, Zhendong Li1, Fuyi Cui2.
Abstract
Wastewater treatment plants (WWTP) are regarded as the last barriers for the release of incompletely separated and recycled nanoparticles (NPs) into the environment. Despite the importance and ubiquity of microbial extracellular polymeric substances (EPSs) in the complex wastewater matrix, the interaction between NPs and EPSs of anaerobic microflora involved in wastewater treatment and the resultant impact on the biomass metabolomics are unclear. Thus, the impacts of different metal oxide (TiO2, ZnO, and CuO) NPs on functional bacteria in anaerobic granular sludge (AGS) and the possible toxicity mechanisms were investigated. In particular, the binding quality, enhanced resistance mechanism, and chemical fractional contribution of EPSs from AGS against the nanotoxicity of different NPs was assessed. The results showed that CuO NPs caused the most severe inhibition towards acetoclastic and hydrogenotrophic methanogens, followed by ZnO NPs, whereas TiO2 NPs caused no inhibition to methanogenesis. Excessive EPS production, especially the protein-like substances, was an effective strategy for reducing certain NPs' toxicity by immobilizing NPs away from AGS cells, whereas the metabolism restriction on inner microorganisms of AGS induced by CuO NPs can deteriorate the protective role of EPS, indicating that the roles of EPS may not be amenable to generalizations. Further investigations with lactate dehydrogenase (LDH) and reactive oxygen species (ROS) assays indicated that there are greatly essential differences between the toxicity mechanisms of metal NPs to AGS, which varied depending on the NPs' type and dosage. In addition, dynamic changes in the responses of EPS content to different NPs can result in a significant shift in methanogenic and acidogenic microbial communities. Thus, the production and composition of EPSs will be a key factor in determining the fate and potential effect of NPs in the complex biological matrix. In conclusion, this study broadens the understanding of the inhibition mechanisms of metal oxide NPs on the AGS process, and the influence of EPSs on the fate, behavior, and toxicity of NPs.Entities:
Keywords: anaerobic digestion; anaerobic granular sludge (AGS); extracellular polymeric substances (EPSs); interactions; metal oxide nanoparticles (NPs); population dynamics; toxicity mechanisms
Mesh:
Substances:
Year: 2022 PMID: 35564766 PMCID: PMC9100327 DOI: 10.3390/ijerph19095371
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1NMA determined in batch toxicity assays as a function of the initial concentration of TiO2 NPs (a), ZnO NPs (b), or CuO NPs (c) using acetate or hydrogen as substrates; NMA is presented as a function of the final concentration of their corresponding dissolved Zn2+ or Cu2+, which was calculated from Equation (1). Error bars represent standard deviations of triplicate tests.
Figure 2Effects of NPs’ exposure on the production of LB-EPS (a) and TB-EPS (b). Asterisks indicate statistical differences (p < 0.05) from the control. * Error bars represent standard deviations determined from triplicate measurements.
The fate of different dosages of NPs in supernatant and AGS a.
| NPs | Supernatant | EPS | Immobilized AGS | ||
|---|---|---|---|---|---|
| Type | Concentration | LB | TB | ||
| TiO2 | 10 | 0.73 ± 0.05 | 7.34 ± 0.25 | 0.62 ± 0.11 | 1.32 ± 0.06 |
| 50 | 3.35 ± 0.15 | 28.53 ± 1.35 | 5.29 ± 0.24 | 12.84 ± 0.58 | |
| 200 | 16.60 ± 0.69 | 85.66 ± 3.66 | 31.06±1.32 | 66.68 ± 3.13 | |
| ZnO | 10 | 1.14 ± 0.04 | 6.22 ± 0.28 | 1.18 ± 0.45 | 1.46 ± 0.06 |
| 50 | 6.35 ± 0.29 | 21.88 ± 0.97 | 11.51 ± 0.52 | 10.27 ± 0.49 | |
| 200 | 16.60 ± 0.72 | 67.69 ± 3.28 | 32.83 ± 1.56 | 82.88 ± 3.72 | |
| CuO | 10 | 0.37 ± 0.02 | 7.12 ± 0.33 | 0.95 ± 0.05 | 1.56 ± 0.06 |
| 50 | 1.36 ± 0.06 | 16.74 ± 0.79 | 9.28 ± 0.46 | 22.64 ± 1.12 | |
| 200 | 10.08 ± 0.44 | 51.83 ± 2.33 | 20.12 ± 0.97 | 117.98 ± 5.57 | |
a The data reported are the averages and their standard deviations determined from triplicate measurements, and the unit is mg/gVSS.
Figure 3Relative ROS production and LDH release in AGS exposed to different concentrations of NPs. Asterisks indicate statistically significant differences (p < 0.05) from the control. * Error bars represent standard deviations of triplicate measurements.
Figure 4Comparisons of the microbial community structure and EPS compositions in AGS after TiO2 (a), ZnO (b), and CuO (c) NPs’ exposure. * Error bars of the relative abundance and EPS content represent standard deviations of the triplicate slot blot hybridizations and triplicate measurements, respectively. Asterisks indicate statistically significant differences (p < 0.05) from the control.