| Literature DB >> 29158944 |
Irina V Khilyas1, Anatoly A Sorokin2,3, Larisa Kiseleva4, David J W Simpson4, V Fedorovich4, Margarita R Sharipova1, Mami Kainuma4, Michael F Cohen4,5, Igor Goryanin4,6,7.
Abstract
Bioelectrochemical systems such as microbial fuel cells (MFCs) are promising new technologies for efficient removal of organic compounds from industrial wastewaters, including that generated from swine farming. We inoculated two pairs of laboratory-scale MFCs with sludge granules from a beer wastewater-treating anaerobic digester (IGBS) or from sludge taken from the bottom of a tank receiving swine wastewater (SS). The SS-inoculated MFC outperformed the IGBS-inoculated MFC with regard to COD and VFA removal and electricity production. Using a metagenomic approach, we describe the microbial diversity of the MFC planktonic and anodic communities derived from the different inocula. Proteobacteria (mostly Deltaproteobacteria) became the predominant phylum in both MFC anodic communities with amplification of the electrogenic genus Geobacter being the most pronounced. Eight dominant and three minor species of Geobacter were found in both MFC anodic communities. The anodic communities of the SS-inoculated MFCs had a higher proportion of Clostridium and Bacteroides relative to those of the IGBS-inoculated MFCs, which were enriched with Pelobacter. The archaeal populations of the SS- and IGBS-inoculated MFCs were dominated by Methanosarcina barkeri and Methanothermobacter thermautotrophicus, respectively. Our results show a long-term influence of inoculum type on the performance and microbial community composition of swine wastewater-treating MFCs.Entities:
Year: 2017 PMID: 29158944 PMCID: PMC5660801 DOI: 10.1155/2017/7616359
Source DB: PubMed Journal: Scientifica (Cairo) ISSN: 2090-908X
Treatment-related characteristics of swine wastewater-fed microbial fuel cells.
| Source | COD (mg L−1)[a,b] | VFA (mg L−1)[a,b] | NH4+-N (mg L−1)[a,b] | PO43−-P (mg L−1)[a,b] |
|---|---|---|---|---|
| SW inflow | 6824 | 1452 | 365 | 374 |
| SS-inoculated MFC | 1684 | 222 | 286 | 365 |
| IGBS-inoculated MFC | 2219 | 314 | 327 | 370 |
[a]Results are means of measurements taken of two independently operating MFCs for both MFC types, both operating with 100 Ω external resistance sampled at 67 days following initiation of operations. [b]Percent change in parentheses.
Removal of selected volatile fatty acids by swine wastewater-fed microbial fuel cells.
| Source | Concentration (mg L−1) | ||||||
|---|---|---|---|---|---|---|---|
| Acetate | Propionate | Isobutyrate | Butyrate | Isovalerate | Valerate | Hexanoate | |
| SW inflow | 114.95 | 425.26 | 10.40 | 198.07 | 81.48 | 127.26 | 96.56 |
| SS-inoculated MFC effluent | 7.06 ± 3.65 | 59.98 ± 51.37 | 0.90 ± 0.78 | 0.80 ± 0.46 | 5.62 ± 4.79 | 0.98 ± 0.88 | 0.51 ± 0.29 |
| IGBS- inoculated MFC effluent | 8.78 ± 3.72 | 108.65 ± 25.54 | 6.24 ± 1.60 | 4.50 ± 1.12 | 40.89 ± 7.41 | 12.26 ± 3.90 | 4.87 ± 0.83 |
±Range of variation between the two MFCs of each type.
Figure 1Summary of the microbial community profiles in the multilevel Krona diagrams. Krona plots visualizing taxonomic hierarchies of the microbial communities of (a) swine sludge (SS), (b) industrial granular brewery sludge (IGBS), and (c) swine wastewater.
Figure 2Summary of the anodic and planktonic microbial community profiles in multilevel Krona diagrams. Krona plots visualizing taxonomic hierarchies of the microbial communities of (a) swine sludge-inoculated MFC anode, (b) industrial granular brewery sludge-inoculated MFC anode, and (c) swine sludge-inoculated MFC planktonic contents, and (d) industrial granular brewery sludge-inoculated MFC planktonic contents.
Figure 3Ordination plots of a nonmetric multidimensional scaling (NMDS) for the microbial communities from SW (inflow) and SS- and IGBS-inoculated MFCs. Blue color indicates microbial communities derived from SS, green color indicates microbial communities derived from IGBS, and red color indicates microbial communities derived from SW (circles, anodic microbial communities; crosses, planktonic microbial communities; squares, microbial communities of inoculums; triangles, SW microbial community). NMDS was based on Bray-Curtis distances of prokaryotic species abundance.
Figure 4Heat map diagram visualizes the dominant bacterial and archaeal genera in the microbial community profiles. Bottom represents the different samples.