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Formation of soluble microbial products (SMP) by activated sludge at various salinities

Abstract

Soluble microbial products (SMP) present a significant component of effluent organic matter from biological wastewater treatment reactors, and can affect the membrane fouling and formation of disinfection by-products. Thus, SMP have attracted increasing concerns in wastewater treatment and reclamation. In this work, the formation of SMP by activated sludge at various NaCl concentrations is investigated by using fluorescence excitation–emission matrix (EEM) spectroscopy with parallel factor analysis (PARAFAC) and fluorescence regional integration (FRI). The results show that a high level of salinity decreases substrate removal efficiency and leads to an accumulation of SMP, especially proteins. Three components of SMP, one protein-like and two humic-acid-like components, are identified by PARAFAC, which exhibit different trends with the variation of NaCl concentration. FRI analysis reveals that the majority of protein fluorescence is attributed to tryptophan and tryptophan-like proteins, rather than tyrosine and tyrosine-like proteins. With an increase in NaCl concentration, the normalized volume percentages of tyrosine and tryptophan region increase, while those of humic- and fulvic-acid-like region decrease significantly. This work demonstrates that salinity affects the formation of SMP, and that EEM with PARAFAC in combination with FRI analysis is a useful tool to get insight into the formation of SMP by activated sludge.

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References

  • Andersson CA, Bro R (2000) The N-way toolbox for MATLAB. Chemom Intell Lab Syst 52:1–4

    Article  CAS  Google Scholar 

  • Aquino SF, Stuckey DC (2003) Production of soluble microbial products (SMP) in anaerobic chemostats under nutrient deficiency. J Environ Eng ASCE 129:1007–1014

    Article  CAS  Google Scholar 

  • Aquino SF, Stuckey DC (2004) Soluble microbial products formation in anaerobic chemostats in the presense of toxic compounds. Water Res 38:255–266

    PubMed  Article  CAS  Google Scholar 

  • Baghoth SA, Sharma SK, Amy GL (2011) Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation–emission matrices and PARAFAC. Water Res 45:797–809

    PubMed  Article  CAS  Google Scholar 

  • Baker A (2001) Fluorescence excitation−emission matrix characterization of some sewage-impacted rivers. Environ Sci Technol 35:948–953

    PubMed  Article  CAS  Google Scholar 

  • Barker DJ, Stuckey DC (1999) A review of soluble microbial products (SMP) in wastewater treatment systems. Water Res 33:3063–3082

    Article  CAS  Google Scholar 

  • Boero VJ, Eckenfelder WW, Bowers AR (1991) Soluble microbial product formation in biological-systems. Water Sci Technol 23:1067–1076

    CAS  Google Scholar 

  • Bro R (1998) Multi-way analysis in the food industry. Models, algorithms, and applications. PhD thesis. University of Amsterdam

  • Campos JL, Mosquera-Corral A, Sanchez M, Mendez R, Lema JM (2002) Nitrification in saline wastewater with high ammonia concentration in an activated sludge unit. Water Res 36:2555–2560

    PubMed  Article  CAS  Google Scholar 

  • Chen W, Westerhoff P, Leenheer JA, Booksh K (2003) Fluorescence excitation–emission matrix regional integration to quantify spectra for dissolved organic matter. Environ Sci Technol 37:5701–5710

    PubMed  Article  CAS  Google Scholar 

  • Christensen JH, Tomasi G, Strand J, Andersen O (2009) PARAFAC modeling of fluorescence excitation–emission spectra of fish bile for rapid en route screening of PAC exposure. Environ Sci Technol 43:4439–4445

    PubMed  Article  CAS  Google Scholar 

  • Coble PG (1996) Characterization of marine and terrestrial DOM in seawater using excitation–emission matrix spectroscopy. Mar Chem 51:325–346

    Article  CAS  Google Scholar 

  • Engelen S, Frosch S, Jorgensen BM (2009) A fully robust PARAFAC method for analyzing fluorescence data. J Chemometr 23:124–131

    Article  CAS  Google Scholar 

  • Fang HHP, Xu LC, Chan KY (2002) Effects of toxic metals and chemicals on biofilm and biocorrosion. Water Res 36:4709–4716

    PubMed  Article  CAS  Google Scholar 

  • Fellman JB, Miller MP, Cory RM, D’Amore DV, White D (2009) Characterizing dissolved organic matter using PARAFAC modeling of fluorescence spectroscopy: a comparison of two models. Environ Sci Technol 43:6228–6234

    PubMed  Article  CAS  Google Scholar 

  • Frolund B, Griebe T, Nielsen PH (1995) Enzymatic-activity in the activated-sludge floc matrix. Appl Microbiol Biotechnol 43:755–761

    PubMed  CAS  Google Scholar 

  • Henriques IDS, Aga DS, Mendes P, O’Connor SK, Love NG (2007) Metabolic footprinting: a new approach to identify physiological changes in complex microbial communities upon exposure to toxic chemicals. Environ Sci Technol 41:3945–3951

    PubMed  Article  CAS  Google Scholar 

  • Jarusutthirak C, Amy G (2006) Role of soluble microbial products (SMP) in membrane fouling and flux decline. Environ Sci Technol 40:969–974

    PubMed  Article  CAS  Google Scholar 

  • Jarusutthirak C, Amy G (2007) Understanding soluble microbial products (SMP) as a component of effluent organic matter (EfOM). Water Res 41:2787–2793

    PubMed  Article  CAS  Google Scholar 

  • Kincannon DF, Gaudy AF (1968) Response of biological waste treatment systems to changes in salt concentrations. Biotechnol Bioeng 10:483–496

    Article  CAS  Google Scholar 

  • Kuo WC, Parkin GF (1996) Characterization of soluble microbial products from anaerobic treatment by molecular weight distribution and nickel-chelating properties. Water Res 30:915–922

    Article  CAS  Google Scholar 

  • Lowry OH, Rosebrough NJ, Farr AL, Randall RJ (1951) Protein measurement with the folin phenol reagent. J Biol Chem 193:265–275

    PubMed  CAS  Google Scholar 

  • Ni BJ, Zeng RJ, Fang F, Xie WM, Sheng GP, Yu HQ (2010) Fractionating soluble microbial products in the activated sludge process. Water Res 44:2292–2302

    PubMed  Article  CAS  Google Scholar 

  • Panswad T, Anan C (1999) Specific oxygen, ammonia, and nitrate uptake rates of a biological nutrient removal process treating elevated salinity wastewater. Bioresour Technol 70:237–243

    Article  CAS  Google Scholar 

  • Rittmann BE, Bae W, Namkung E, Lu CJ (1987) A critical-evaluation of microbial product formation in biological processes. Water Sci Technol 19:517–528

    CAS  Google Scholar 

  • Sheng GP, Yu HQ (2006) Characterization of extracellular polymeric substances of aerobic and anaerobic sludge using three-dimensional excitation and emission matrix fluorescence spectroscopy. Water Res 40:1233–1239

    PubMed  Article  CAS  Google Scholar 

  • Sheng GP, Yu HQ, Yue ZB (2005) Production of extracellular polymeric substances from Rhodopseudomonas acidophila in the presence of toxic substances. Appl Microbiol Biotechnol 69:216–222

    PubMed  Article  CAS  Google Scholar 

  • Thygesen LG, Rinnan A, Barsberg S, Moller JKS (2004) Stabilizing the PARAFAC decomposition of fluorescence spectra by insertion of zeros outside the data area. Chemom Intell Lab Syst 71:97–106

    Article  CAS  Google Scholar 

  • Wang ZP, Zhang T (2010) Characterization of soluble microbial products (SMP) under stressful conditions. Water Res 44:5499–5509

    PubMed  Article  CAS  Google Scholar 

  • Wang JL, Zhan XM, Feng YC, Qian Y (2005) Effect of salinity variations on the performance of activated sludge system. Biomed Environ Sci 18:5–8

    PubMed  Google Scholar 

  • Wingender J, Neu TR, Flemming HC (1999) Microbial extracellular polymeric substances: characterization, structures and function. Springer, Berlin

    Book  Google Scholar 

  • Woolard CR, Irvine RL (1995) Treatment of hypersaline wastewater in the sequencing batch reactor. Water Res 29:1159–1168

    Article  CAS  Google Scholar 

  • Xie ZM, Li XY, Chan KY (2006) Nitrogen removal from the saline sludge liquor by electrochemical denitrification. Water Sci Technol 54:171–179

    PubMed  CAS  Google Scholar 

  • Yamashita Y, Jaffe R (2008) Characterizing the interactions between trace metals and dissolved organic matter using excitation–emission matrix and parallel factor analysis. Environ Sci Technol 42:7374–7379

    PubMed  Article  CAS  Google Scholar 

  • Yamashita Y, Tanoue E (2003) Chemical characterization of protein-like fluorophores in DOM in relation to aromatic amino acids. Mar Chem 82:255–271

    Article  CAS  Google Scholar 

  • Yogalakshmi KN, Joseph K (2010) Effect of transient sodium chloride shock loads on the performance of submerged membrane bioreactor. Bioresour Technol 101:7054–7061

    Article  CAS  Google Scholar 

  • Zhang H, Qu JH, Liu HJ, Zhao X (2009) Characterization of isolated fractions of dissolved organic matter from sewage treatment plant and the related disinfection by-products formation potential. J Hazard Mater 164:1433–1438

    PubMed  Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors would like to gratefully thank the support from the National Natural Science Foundation (51178215 and 50825802) and Jiansu Provincial Natural Science Foundation (BK2011032), China.

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Correspondence to Ai-Min Li.

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Li, Y., Li, AM., Xu, J. et al. Formation of soluble microbial products (SMP) by activated sludge at various salinities. Biodegradation 24, 69–78 (2013). https://doi.org/10.1007/s10532-012-9558-5

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  • DOI: https://doi.org/10.1007/s10532-012-9558-5

Keywords

  • Fluorescence excitation−emission matrix
  • Parallel factor analysis
  • Fluorescence regional integration
  • Salinity
  • Soluble microbial products