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Xian-Zheng Yuan
Shandong University School of Environmental Science and Engineering Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7893-0692
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This work is licensed under a CC BY 4.0 License. Read Full License
Background: Foaming in anaerobic digesters is considered a global concern due to significant impacts on process efficiency and operational costs. Although the importance of the organic loading rate on anaerobic foaming is now widely recognized, little is known about the key bacteria among the hundreds of species inducing foaming, especially the metabolite-microbiota correlation that influences foaming in anaerobic digesters.
Results: Here, we show that the organic loading rate promotes foaming and decreases the performances of bench-scale batch digesters. Metabolomics analysis revealed distinct changes in the metabolic phenotype, including mainly short-chain fatty acids and amino acids, decreasing the surface tension and inducing foaming. Furthermore, the correlation analysis revealed that Clostridium clusters were the main microbes contributing to these metabolite foaming incidents.
Conclusions: We provide the foaming microbes and metabolites in anaerobic digestion. Our findings elucidate the complex formation of foaming in anaerobic digestion and provide an effective early-warning for the control of foaming in full-scale digesters.
Keywords
Anaerobic digestion, Foaming, Organic loading rate, Metabolomics analysis, Correlation analysis
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This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.docx
Additional file 1: Text S1. The Supporting Information includes the details for metabolic profiling analysis. Figure S1. Scheme of foaming apparatus. Figure S2. Observation of reactor foaming performance. Figure S3. Time-dependent surface tension values of solutions in AGS and FS system. Figure S4. Specific methane production, hydrogen production and pH values in AGS and FS system. Figure S5. Analysis of the composition of microbiota and correlation between the reactor performance and the genera. Figure S6. PCA and OPLS-DA of metabolites in AGS. Figure S7. The relative abundance of metabolites confirmed by secondary ion mass spectrometry. Figure S8. Metabolite and genus joint loadings plot. Figure S9. Co-occurrence network of metabolite and genus. Table S1. Characteristics of digesters. Table S2. Mobile phase condition parameter. Table S3. The parameters of mass spectrum. Table S4. Matched information of metabolites detected in SMPs.
- Additionalfile1.docx
Additional file 1: Text S1. The Supporting Information includes the details for metabolic profiling analysis. Figure S1. Scheme of foaming apparatus. Figure S2. Observation of reactor foaming performance. Figure S3. Time-dependent surface tension values of solutions in AGS and FS system. Figure S4. Specific methane production, hydrogen production and pH values in AGS and FS system. Figure S5. Analysis of the composition of microbiota and correlation between the reactor performance and the genera. Figure S6. PCA and OPLS-DA of metabolites in AGS. Figure S7. The relative abundance of metabolites confirmed by secondary ion mass spectrometry. Figure S8. Metabolite and genus joint loadings plot. Figure S9. Co-occurrence network of metabolite and genus. Table S1. Characteristics of digesters. Table S2. Mobile phase condition parameter. Table S3. The parameters of mass spectrum. Table S4. Matched information of metabolites detected in SMPs.
- Additionalfile2.avi
Additional file 2: Movie S1. The testing process for foaming tendency and foam stability.
- Additionalfile2.avi
Additional file 2: Movie S1. The testing process for foaming tendency and foam stability.
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research
Xian-Zheng Yuan
Shandong University School of Environmental Science and Engineering Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-7893-0692
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 24 Nov, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Foaming in anaerobic digesters is considered a global concern due to significant impacts on process efficiency and operational costs. Although the importance of the organic loading rate on anaerobic foaming is now widely recognized, little is known about the key bacteria among the hundreds of species inducing foaming, especially the metabolite-microbiota correlation that influences foaming in anaerobic digesters.
Results: Here, we show that the organic loading rate promotes foaming and decreases the performances of bench-scale batch digesters. Metabolomics analysis revealed distinct changes in the metabolic phenotype, including mainly short-chain fatty acids and amino acids, decreasing the surface tension and inducing foaming. Furthermore, the correlation analysis revealed that Clostridium clusters were the main microbes contributing to these metabolite foaming incidents.
Conclusions: We provide the foaming microbes and metabolites in anaerobic digestion. Our findings elucidate the complex formation of foaming in anaerobic digestion and provide an effective early-warning for the control of foaming in full-scale digesters.
Figure 1
Figure 1
Figure 2
Figure 2
Figure 3
Figure 3
Figure 4
Figure 4
Figure 5
Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
- Additionalfile1.docx
Additional file 1: Text S1. The Supporting Information includes the details for metabolic profiling analysis. Figure S1. Scheme of foaming apparatus. Figure S2. Observation of reactor foaming performance. Figure S3. Time-dependent surface tension values of solutions in AGS and FS system. Figure S4. Specific methane production, hydrogen production and pH values in AGS and FS system. Figure S5. Analysis of the composition of microbiota and correlation between the reactor performance and the genera. Figure S6. PCA and OPLS-DA of metabolites in AGS. Figure S7. The relative abundance of metabolites confirmed by secondary ion mass spectrometry. Figure S8. Metabolite and genus joint loadings plot. Figure S9. Co-occurrence network of metabolite and genus. Table S1. Characteristics of digesters. Table S2. Mobile phase condition parameter. Table S3. The parameters of mass spectrum. Table S4. Matched information of metabolites detected in SMPs.
- Additionalfile1.docx
Additional file 1: Text S1. The Supporting Information includes the details for metabolic profiling analysis. Figure S1. Scheme of foaming apparatus. Figure S2. Observation of reactor foaming performance. Figure S3. Time-dependent surface tension values of solutions in AGS and FS system. Figure S4. Specific methane production, hydrogen production and pH values in AGS and FS system. Figure S5. Analysis of the composition of microbiota and correlation between the reactor performance and the genera. Figure S6. PCA and OPLS-DA of metabolites in AGS. Figure S7. The relative abundance of metabolites confirmed by secondary ion mass spectrometry. Figure S8. Metabolite and genus joint loadings plot. Figure S9. Co-occurrence network of metabolite and genus. Table S1. Characteristics of digesters. Table S2. Mobile phase condition parameter. Table S3. The parameters of mass spectrum. Table S4. Matched information of metabolites detected in SMPs.
- Additionalfile2.avi
Additional file 2: Movie S1. The testing process for foaming tendency and foam stability.
- Additionalfile2.avi
Additional file 2: Movie S1. The testing process for foaming tendency and foam stability.
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