Skip to main content
Log in

Population dynamics of methanogens and methane formation associated with different loading rates of organic acids along with ammonia: redundancy analysis

  • Short Communication
  • Published:
Bioprocess and Biosystems Engineering Aims and scope Submit manuscript

Abstract

In anaerobic processes, the population dynamics of methanogens in the methanogenic stage were monitored along with hydraulic retention times (HRTs) shift. Decreasing HRTs increased the loading rates of volatile fatty acids (VFAs) and ammonia. Methanomicrobiales (MMB) began to be dominant at longer than 12.5 days HRT, Methanosarcinales (MSL) were dominant at 8, 10, and 12.5 days HRT, and Methanobacteriales (MBT) were dominant at shorter than 6 days HRT. Increased loading rates of VFAs and ammonia increased MBT, decreased MMB, and had no significant effect on MSL. Maximal daily methane production was observed at 1.57 L/L when MSL copy numbers also reached 3.60 × 107 copy/mL as a peak, which were expressed as positive correlation between DMA and MSL. No sooner had methane yield (MY) increased from 1.15 to 1.32 L/g VSremoved along with HRT reduction from 25 to 22.5 days, then MY gradually decreased from 1.32 to 0.04 L/g VSremoved.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Abbreviations

AD:

Anaerobic digestion

CCA:

Canonical correspondence analysis

COD:

Chemical oxygen demand

CSTRs:

Continuously stirred tank reactors

DMP:

Daily methane production

HRT:

Hydraulic retention time

MBT:

Methanobacteriales

MCC:

Methanococcales

MMB:

Methanomicrobiales

MSL:

Methanosarcinales

MY:

Methane yield

RDA:

Redundancy analysis

TVFAs:

Total volatile fatty acids

VFAs:

Volatile fatty acids

VS:

Volatile solids

References

  1. Demirel B, Yenig O (2002) Two-phase anaerobic digestion processes: a review. J Chem Technol Biotechnol 77:743–755

    Article  CAS  Google Scholar 

  2. Song M, Shin SG, Hwang S (2010) Methanogenic population dynamics assessed by real-time quantitative PCR in sludge granule in upflow anaerobic sludge blanket treating swine wastewater. Bioresource Technol 101:S23–S28

    Article  CAS  Google Scholar 

  3. Lee C, Kim J, Hwang K, O’Flaherty V, Hwang S (2009) Quantitative analysis of methanogenic community dynamics in three anaerobic batch digesters treating different wastewaters. Water Res 43:157–165

    Article  CAS  Google Scholar 

  4. Bialek K, Kim J, Lee C, Collins G, Mahony T, O’Flaherty V (2011) Quantitative and qualitative analyses of methanogenic community development in high-rate anaerobic bioreactors. Water Res 45:1298–1308

    Article  CAS  Google Scholar 

  5. Fernandez AS, Hashsham SA, Dollhopf SL, Raskin L, Glagoleva O, Dazzo FB, Hickey RF, Criddle CS, Tiedje JM (2000) Flexible community structure correlates with stable community function in methanogenic bioreactor communities perturbed by glucose. Appl Environ Microbiol 66:4058–4067

    Article  CAS  Google Scholar 

  6. Shi JC, Liao XD, Wu YB, Liang JB (2011) Effect of antibiotics on methane arising from anaerobic digestion of pig manure. Anim Feed Sci Tech 166:457–463

    Google Scholar 

  7. Kim W, Hwang K, Shin SG, Lee S, Hwang S (2010) Effect of high temperature on bacterial community dynamics in anaerobic acidogenesis using mesophilic sludge inoculum. Bioresour Technol 101:S17–S22

    Article  CAS  Google Scholar 

  8. Kim W, Shin SG, Cho K, Lee C, Hwang S (2012) Performance of methanogenic reactors in temperature phased two-stage anaerobic digestion of swine wastewater. J Biosci Bioeng 114:635–639

    Article  CAS  Google Scholar 

  9. APHA, AWWA, WEF (2005) Standard methods for the examination of water and wastewater. American Public Health Association, American Water Works Association and Water Environment Federation, Washington DC, USA

    Google Scholar 

  10. Yu Y, Lee C, Kim J, Hwang S (2005) Group-specific primer and probe sets to detect methanogenic communities using quantitative real-time polymerase chain reaction. Biotechnol Bioeng 89:670–679

    Article  CAS  Google Scholar 

  11. Boone D, Castenholz R, Garrity G, Staley J, Bergey D (2001) The Archaea and the deeply branching and phototrophic Bacteria. Springer, New York

    Google Scholar 

  12. Leclerc M, Delbes C, Moletta R, Godon JJ (2001) Single strand conformation polymorphism monitoring of 16 S rDNA Archaea during start-up of an anaerobic digester. FEMS Microbiol Ecol 34:213–220

    Article  CAS  Google Scholar 

  13. Demirel B, Scherer P (2008) The roles of acetotrophic and hydrogenotrophic methanogens during anaerobic conversion of biomass to methane: a review. Rev Environ Sci Biotechnol 7:173–190

    Article  CAS  Google Scholar 

  14. Speece RE (1996) Anaerobic biotechnology for industrial wastewaters. Archae Press, Nashville

    Google Scholar 

  15. Karakashev D, Batstone DJ, Angelidaki I (2005) Influence of environmental conditions on methanogenic compositions in anaerobic biogas reactors. Appl Environ Microbiol 71:331–338

    Article  CAS  Google Scholar 

  16. Sa Michaud, Bernet N, Buffière P, Roustan M, Moletta R (2002) Methane yield as a monitoring parameter for the start-up of anaerobic fixed film reactors. Water Res 36:1385–1391

    Article  Google Scholar 

  17. Angelidaki I, Sanders W (2004) Assessment of the anaerobic biodegradability of macropollutants. Rev Environ Sci Biotechnol 3:117–129

    Article  CAS  Google Scholar 

  18. Calli B, Mertoglu B, Inanc B, Yenigun O (2005) Methanogenic diversity in anaerobic bioreactors under extremely high ammonia levels. Enzyme Microb Tech 37:448–455

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by the New & Renewable Energy Technology R&D program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korean Ministry of Knowledge Economy (Grant No. 20103020090050) and also was supported by the Advanced Biomass R&D Center (ABC) of Global Frontier Project funded by the Ministry of Science, ICT and Future Planning (ABC-2010-0029728).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seokhwan Hwang.

Additional information

W. Kim and S. G. Shin contributed equally to this work.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, W., Shin, S.G., Cho, K. et al. Population dynamics of methanogens and methane formation associated with different loading rates of organic acids along with ammonia: redundancy analysis. Bioprocess Biosyst Eng 37, 977–981 (2014). https://doi.org/10.1007/s00449-013-1061-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00449-013-1061-9

Keywords

Navigation