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The Sulfur Conversion Functional Microbial Communities in Biogas Liquid Can Participate in Coal Degradation

Yang Li

Yang Li

State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and TechnologyHuainan, China
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Li, Yang
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Zhong Liang

Zhong Liang

State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and TechnologyHuainan, China
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Liang, Zhong
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Xinyue Yan

Xinyue Yan

State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and TechnologyHuainan, China
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Yan, Xinyue
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Tianqi Qin

Tianqi Qin

State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and TechnologyHuainan, China
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Qin, Tianqi
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Zhaojun Wu

Zhaojun Wu

School of Biological and Environmental Engineering, Chaohu UniversityChaohu, China
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Wu, Zhaojun
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Chunshan Zheng

Chunshan Zheng

School of Safety Science and Engineering, Anhui University of Science and TechnologyHuainan, China
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Zheng, Chunshan
  
26 ago 2024
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Categoria dell'articolo: ORIGINAL PAPER
Pubblicato online: 26 ago 2024
Pagine: 315 - 327
Ricevuto: 02 apr 2024
Accettato: 29 mag 2024
DOI: https://doi.org/10.33073/pjm-2024-027
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© 2024 Yang Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Fig. 1.

Flow chart for experimental studies.
Flow chart for experimental studies.

Fig. 2

Changes in microbial diversity in samples. a) Relative abundance of major bacterial phyla in biogas liquid (relative abundance > 1%). b) heatmap for relative abundance of major microbial genera in samples (relative abundance > 0.05%), and red and green arrows indicated significant differences between Treat and CK groups at 90 days (t-text, p < 0.05); c) ordering of microbial community composition by nonmetric multidimensional scaling (NMDS) using the Bray-Curtis distance; d) Shannon diversity among samples, n.s. indicates no significant difference (ANOVA with Tukey’s post hoc test, p < 0.05) among treatments.
Changes in microbial diversity in samples. a) Relative abundance of major bacterial phyla in biogas liquid (relative abundance > 1%). b) heatmap for relative abundance of major microbial genera in samples (relative abundance > 0.05%), and red and green arrows indicated significant differences between Treat and CK groups at 90 days (t-text, p < 0.05); c) ordering of microbial community composition by nonmetric multidimensional scaling (NMDS) using the Bray-Curtis distance; d) Shannon diversity among samples, n.s. indicates no significant difference (ANOVA with Tukey’s post hoc test, p < 0.05) among treatments.

Fig. 3.

Images of SEM, EDS energy spectra, and count per second (cps) data of coal samples from different treatment groups.
Images of SEM, EDS energy spectra, and count per second (cps) data of coal samples from different treatment groups.

Fig. 4.

XRD, FTIR, and XPS spectra of coal samples. a) XRD spectra. b) FTIR spectra. c) XPS spectra. d) XPS spectra of C, N, O, and S, respectively.
XRD, FTIR, and XPS spectra of coal samples. a) XRD spectra. b) FTIR spectra. c) XPS spectra. d) XPS spectra of C, N, O, and S, respectively.

Fig. 5.

Main sulfur-containing organic compounds in coal samples.
Main sulfur-containing organic compounds in coal samples.

Fig. 6.

a) Bacteria in acclimated biogas liquid and functional classes related to DBT degradation; b) sulfur-related intermediates produced by DBT degradation.
a) Bacteria in acclimated biogas liquid and functional classes related to DBT degradation; b) sulfur-related intermediates produced by DBT degradation.

Fig. 7.

Predicted degradation pathways of dibenzothiophene (DBT).
Predicted degradation pathways of dibenzothiophene (DBT).

The relative abundance of dominant phyla (> 1%) in the samples, different lowercase letters indicate a significant difference (ANOVA with Tukey’s post hoc test, p < 0_05) among samples_

Acclimated biogas liquid CK_30d CK_90d Treat_30d Treat_90d
Firmicutes 99.23 ± 0.18% a 32.75 ± 19.80% b 25.11 ± 3.87% b 98.32 ± 0.31% a 90.65 ± 5.36% a
Proteobacteria 0.61 ± 0.12% b 63.55 ± 20.87% a 67.22 ± 1.41% a 1.47 ± 0.38% b 2.32 ± 0.69% b
Actinobacteriota 0.03 ± 0.02% c 3.14 ± 0.95% b 5.71 ± 1.51% a 0.03 ± 0.02% c 0.12 ± 0.06% c
Chloroflexi 0.00 ± 0.00% b 0.09 ± 0.03% ab 0.92 ± 0.85% ab 0.09 ± 0.10% ab 6.81 ± 5.56% a
Bacteroidota 0.07 ± 0.03% a 0.37 ± 0.36% a 0.42 ± 0.27% a 0.04 ± 0.02% a 0.03 ± 0.01% a
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Inglese
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Scienze biologiche, Microbiologia e virologia
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