| Literature DB >> 36232531 |
Irina Lascu1, Claudiu Locovei2,3, Corina Bradu1, Cristina Gheorghiu4, Ana Maria Tanase1, Anca Dumitru2.
Abstract
Anode modification with carbon nanomaterials is an important strategy for the improvement of microbial fuel cell (MFC) performance. The presence of nitrogen in the carbon network, introduced as active nitrogen functional groups, is considered beneficial for anode modification. In this aim, nitrogen-containing carbon nanostructures (NCNs) with different morphologies were obtained via carbonization of polyaniline and were further investigated as anode modifiers in MFCs. The present study investigates the influence of NCN morphology on the changes in the anodic microbial community and MFC performance. Results show that the nanofibrillar morphology of NCNs is beneficial for the improvement of MFC performance, with a maximum power density of 40.4 mW/m2, 1.25 times higher than the anode modified with carbonized polyaniline with granular morphology and 2.15 times higher than MFC using the carbon cloth-anode. The nanofibrillar morphology, due to the well-defined individual nanofibers separated by microgaps and micropores and a better organization of the carbon network, leads to a larger specific surface area and higher conductivity, which can allow more efficient substrate transport and better bacterial colonization with greater relative abundances of Geobacter and Thermoanaerobacter, justifying the improvement of MFC performance.Entities:
Keywords: anode modification; biofilm; carbonization; extracellular electron transfer; microbial diversity; microbial fuel cell; nitrogen-containing carbon nanostructures; polyaniline
Mesh:
Substances:
Year: 2022 PMID: 36232531 PMCID: PMC9569864 DOI: 10.3390/ijms231911230
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1SEM images of (a) PANI-R (scale bar 3 μm), (b) PANI-R-900 (scale bar 3 μm), (c) PANI-T (scale bar 3 μm), and (d) PANI-T-900 (scale bar 3 μm). The insets present SEM images acquired at higher magnification with a scale bar of 800 nm.
Elemental composition of the materials from EDX.
| Sample | C (at %) | N (at %) | O (at %) | S (at %) |
|---|---|---|---|---|
| PANI-R | 73.34 | 10.99 | 12.92 | 2.74 |
| PANI-T | 82.08 | 8.08 | 6.20 | 3.64 |
| PANI-R-900 | 89.95 | 6.49 | 3.56 | NA |
| PANI-T-900 | 92.42 | 5.02 | 2.56 | NA |
NA—not available.
Figure 2FTIR spectra of (a) PANI-R and PANI-R-900 and (b) PANI-T and PANI-T-900 samples.
Figure 3(a) XRD patterns of PANI-R and PANI-T; XRD experimental data and Rietveld refinement with residuals at the graphs bottom of (b) PANI-R-900 and (c) PANI-T-900.
Figure 4Polarization and power density curves of MFC with CC and PANI-R-900- and PANI-T-900-modified anodes.
Average values of open circuit potential (OCP), power and current density and internal resistance of MFC modified with PANI-R-900 and PANI-T-900 and MFC with CC anode.
| MFC Index | OCP (mV) | P (mW/m2) | Rint (Ω) |
|---|---|---|---|
| MFC-CC | 702.5 ± 24.5 | 15.2 ± 2.6 | 1437.6 ± 122.6 |
| MFC-PANI-R-900 | 761.2 ± 28.7 | 30.6 ± 1.9 | 875.2 ± 52.9 |
| MFC-PANI-T-900 | 789.7 ± 31.3 | 38.5 ± 1.9 | 808.7 ± 48.6 |
Alpha diversity across sample types. Shannon entropy, Pielou’s evenness, and Faith’s phylogenetic distance were calculated using qiime2 core metrics phylogenetic.
| Sample Type | Shannon | Faith’s Phylogenetic Distance | Pielou’s Evenness |
|---|---|---|---|
| Initial Wastewater | 11.33 ± 0.28 | 322.26 ± 176.34 | 0.9407 ± 0.0027 |
| PANI-R-900 | 12.16 ± 0.13 | 835.92 ± 86.04 | 0.9408 ± 0.0042 |
| PANI-T-900 | 11.92 ± 0.12 | 811.30 ± 24.31 | 0.9294 ± 0.0049 |
Figure 5Barplot representation of most abundant classes across the three sample types. Relative frequencies represent the mean-ceiling of triplicate datasets.
Figure 6Heatmap representation of genera of at least 1% relative abundance, log normalized. Samples and features were clustered based on Bray-Curtis distances. Relative frequencies represent the mean-ceiling of triplicate datasets.