Environmental Science and Pollution Research

, Volume 24, Issue 10, pp 9026–9035 | Cite as

Fouling analysis of membrane bioreactor treating antibiotic production wastewater at different hydraulic retention times

  • Dawei Yu
  • Yutao Chen
  • Yuansong Wei
  • Jianxing Wang
  • Yawei Wang
  • Kun Li
Eco-aquaculture, sustainable development and public health

Abstract

Membrane fouling, including foulants and factors, was investigated during hydraulic retention time (HRT) optimization of a membrane bioreactor (MBR) that treated wastewater from the production of antibiotics. The results showed that HRT played an important role in membrane fouling. Trans-membrane pressure (TMP), membrane flux, and resistance were stable at −6 kPa, 76 L m−2 h−1 bar−1, and 4.5 × 1012 m−1 when HRT was at 60, 48, and 36 h, respectively. Using Fourier transform infrared spectroscopy, foulants were identified as carbohydrates and proteins, which correlated with effluent organic matter and effluent chemical oxygen demand (COD) compounds. Therefore, membrane fouling trends would benefit from low supernatant COD (378 mg L−1) and a low membrane removal rate (26 %) at a HRT of 36 h. Serious membrane fouling at 72 and 24 h was related to soluble microbial products and extracellular polymeric substances in mixed liquor, respectively. Based on the TMP decrease and flux recovery after physical and chemical cleaning, irremovable fouling aggravation was related to extracellular polymeric substances’ increase and soluble microbial products’ decrease. According to changes in the specific oxygen uptake rate (SOUR) and mixed liquor suspended solids (MLSSs) during HRT optimization in this study, antibiotic production wastewater largely inhibited MLSS growth, which only increased from 4.5 to 5.0 g L−1 when HRT was decreased from 72 to 24 h, but did not limit sludge activity. The results of a principal component analysis highlighted both proteins and carbohydrates in extracellular polymeric substances as the primary foulants. Membrane fouling associated with the first principal component was positively related to extracellular polymeric substances and negatively related to soluble microbial products. Principal component 2 was primarily related to proteins in the influent. Additional membrane fouling factors included biomass characteristics, operational conditions, and feed characteristics.

Keywords

Fouling Foulant HRT Effluent organic matter Extracellular polymeric substances Soluble microbial product Correlation analysis Principal component analysis 

Notes

Acknowledgments

Financial support from the Major Science and Technology Program for Water Pollution Control and Treatment of China (Nos. 2012ZX07203-002 and 2015ZX07203-005) is highly appreciated, as is support from the National High-Technology Research and Development Program (“863” Program) of China (No. 2009AA063901).

Author contributions

Yutao Chen contributes equally with Dawei Yu. All authors contributed to the writing of this manuscript and have approved the final version of this manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

11356_2015_5751_MOESM1_ESM.doc (870 kb)
ESM 1 (DOC 869 kb)

References

  1. Berendonk TU et al (2015) Tackling antibiotic resistance: the environmental framework. Nat Rev Microbiol 13:310–317. doi: 10.1038/nrmicro3439 CrossRefGoogle Scholar
  2. Chae SR, Ahn YT, Kang ST, Shin HS (2006) Mitigated membrane fouling in a vertical submerged membrane bioreactor (VSMBR). J Membr Sci 280:572–581. doi: 10.1016/j.memsci.2006.02.015 CrossRefGoogle Scholar
  3. Chang IS, Lee CH (1998) Membrane filtration characteristics in membrane-coupled activated sludge system—the effect of physiological states of activated sludge on membrane fouling. Desalination 120:221–233. doi: 10.1016/S0011-9164(98)00220-3 CrossRefGoogle Scholar
  4. Cheng YT (2012) Treatment and reclamation of antibiotic wastewater by combined membrane bioreactor and nanofiltration. Master thesis, Research Center for Eco-Environmental Sciences, Chinese Academy of SciencesGoogle Scholar
  5. Cheng YT, Wei YS, Wang JX, Su YF, Li MY (2012) Comparison of membrane module performance in flat-sheet membrane bioreactor for treating spiramycin wastewater. China Water Wastewater 28:20–24 (in Chinese) Google Scholar
  6. Croue JP, Benedetti MF, Violleau D, Leenheer JA (2003) Characterization and copper binding of humic and nonhumic organic matter isolated from the South Platte River: evidence for the presence of nitrogenous binding site. Environ Sci Technol 37:328–336. doi: 10.1021/es020676p CrossRefGoogle Scholar
  7. DuBois M, Gilles KA, Hamilton JK, Rebers PA, Smith F (1956) Colorimetric method for determination of sugars and related substances. Anal Chem 28:350–356. doi: 10.1021/ac60111a017 CrossRefGoogle Scholar
  8. Estrada-Arriaga EB, Mijaylova PN (2011) Influence of operational parameters (sludge retention time and hydraulic residence time) on the removal of estrogens by membrane bioreactor. Environ Sci Pollut Res 18:1121–1128. doi: 10.1007/s11356-011-0461-0 CrossRefGoogle Scholar
  9. Hai FI, Yamamoto K, Nakajima F, Fukushi K (2010) Recalcitrant industrial wastewater treatment by membrane bioreactor (MBR). In: Gorley S (ed) Handbook of membrane research: properties, performance and applications. Nova Science Publishers, New York, pp 67–104. doi: 10.1002/chin.201133280 Google Scholar
  10. Janga N, Ren X, Kim G, Ahn C, Cho J, Kim IS (2007) Characteristics of soluble microbial products and extracellular polymeric substances in the membrane bioreactor for water reuse. Desalination 202:90–98. doi: 10.1016/j.desal.2005.12.043 CrossRefGoogle Scholar
  11. Jubany I, Baeza JA, Carrera J, Lafuente J (2005) Respirometric calibration and validation of a biological nitrite oxidation model including biomass growth and substrate inhibition. Water Res 39:4574–4584. doi: 10.1016/j.watres.2005.08.019 CrossRefGoogle Scholar
  12. Lesjean B, Rosenberger S, Laabs C, Jekel M, Gnirss R, Amy G (2005) Correlation between membrane fouling and soluble/colloidal organic substances in membrane bioreactors for municipal wastewater treatment. Water Sci Technol 51:1–8Google Scholar
  13. Lin HJ, Gao WJ, Meng FG, Liao BQ, Leung KT, Zhao LH, Chen JR, Hong HC (2012) Membrane bioreactors for industrial wastewater treatment: a critical review. Crit Rev Environ Sci Technol 42:677–740CrossRefGoogle Scholar
  14. Lowry OH, Rosebrough NJ, Farr AL, Randall RJ (1951) Protein measurement with the folin phenol reagent. J Biol Chem 193:265–275Google Scholar
  15. Malamis S, Andreadakis A (2009) Fractionation of proteins and carbohydrates of extracellular polymeric substances in a membrane bioreactor system. Bioresour Technol 100:3350–3357. doi: 10.1016/j.biortech.2009.01.053 CrossRefGoogle Scholar
  16. Meng FG, Shi BQ, Yang FL, Zhang HM (2007) Effect of hydraulic retention time on membrane fouling and biomass characteristics in submerged membrane bioreactors. Bioprocess Biosyst Eng 30:359–367. doi: 10.1007/s00449-007-0132-1 CrossRefGoogle Scholar
  17. Meng FG, Chae SR, Drews A, Kraume M, Shin HS, Yang FL (2009) Recent advances in membrane bioreactors (MBRs): membrane fouling and membrane material. Water Res 43:1489–1512. doi: 10.1016/j.watres.2008.12.044 CrossRefGoogle Scholar
  18. Ministry of Environmental Protection of the People’s Republic of China (2009) Pharmaceutical industrial pollution control technology and policy. http://www.mep.gov.cn/gkml/hbb/bgth/ 200911/W020091109526715077565.pdf
  19. Mutamim NSA, Noor ZZ, Hassan MAA, Olsson G (2012) Application of membrane bioreactor technology in treating high strength industrial wastewater: a performance review. Desalination 305:1–11. doi: 10.1016/j.desal.2012.07.033 CrossRefGoogle Scholar
  20. Naessens W, Maere T, Nopens I (2012) Critical review of membrane bioreactor models—part 1: biokinetic and filtration models. Bioresour Technol 122:95–106. doi: 10.1016/j.biortech.2012.05.070 CrossRefGoogle Scholar
  21. Nagaoka H, Yamanishi S, Miya A (1998) Modeling of biofouling by extracellular polymers in a membrane separation activated sludge system. Water Sci Technol 38:497–504. doi: 10.1016/S0273-1223(98)00550-2 CrossRefGoogle Scholar
  22. National Bureau of Statistic China (2014) Industrial wastewater discharge and treatment. National Bureau of Statistic China, Beijing http://www.stats.gov.cn/ztjc/ztsj/hjtjzl/2013/201412/ t20141216_654131.html
  23. Ng HY, Tan TW, Ong SL (2006) Membrane fouling of submerged membrane bioreactors: impact of mean cell residence time and the contributing factors. Environ Sci Technol 40:2706–2713. doi: 10.1021/es0516155 CrossRefGoogle Scholar
  24. Pendashteh AR, Fakhru’l-Razi A, Madaeni SS, Abdullah LC, Abidin ZZ, Biak DRA (2011) Membrane foulants characterization in a membrane bioreactor (MBR) treating hypersaline oily wastewater. Chem Eng J 168:140–150. doi: 10.1016/j.cej.2010.12.053 CrossRefGoogle Scholar
  25. Raj SE, Banu JR, Kaliappan S, Yeom I-T, Adish Kumar S (2013) Effects of side-stream, low temperature phosphorus recovery on the performance of anaerobic/anoxic/oxic systems integrated with sludge pretreatment. Bioresour Technol 140:376–384. doi: 10.1016/j.biortech.2013.04.061 CrossRefGoogle Scholar
  26. Saha NK, Balakrishnan M, Ulbricht M (2007) Sugarcane juice ultrafiltration: FTIR and SEM analysis of polysaccharide fouling. J Membr Sci 306:287–297. doi: 10.1016/j.memsci.2007.09.006 CrossRefGoogle Scholar
  27. Shariati SRP, Bonakdarpour B, Zare N, Ashtiani FZ (2011) The effect of hydraulic retention time on the performance and fouling characteristics of membrane sequencing batch reactors used for the treatment of synthetic petroleum refinery wastewater. Bioresour Technol 102:7692–7699. doi: 10.1016/j.biortech.2011.05.065 CrossRefGoogle Scholar
  28. Shon HK, Vigneswaran S, Snyder SA (2006) Effluent organic matter (EfOM) in wastewater: constituents, effects, and treatment. Crit Rev Env Sci Tec 36:327–374. doi: 10.1080/10643380600580011 CrossRefGoogle Scholar
  29. Sipma J, Osuna B, Collado N, Monclus H, Ferrero G, Comas J, Rodriguez-Roda I (2010) Comparison of removal of pharmaceuticals in MBR and activated sludge systems. Desalination 250:653–659. doi: 10.1016/j.desal.2009.06.073 CrossRefGoogle Scholar
  30. State Council of China (2015) The action plan for water pollution prevention and control. http://www.gov.cn/zhengce/content/2015-04/16/content_9613.htm
  31. Sun DD, Hay CT, Khor SL (2006) Effects of hydraulic retention time on behavior of start-up submerged membrane bioreactor with prolonged sludge retention time. Desalination 195:209–225. doi: 10.1016/j.desal.2005.12.002 CrossRefGoogle Scholar
  32. Sundararaman S, Saravanane R (2010) Effect of loading rate and HRT on the removal of cephalosporin and their intermediates during the operation of a membrane bioreactor treating pharmaceutical wastewater. Water Sci Technol 61:1907–1914. doi: 10.2166/wst.2010.881 CrossRefGoogle Scholar
  33. Tay JH, Zeng JL, Sun DD (2003) Effects of hydraulic retention time on system performance of a submerged membrane bioreactor. Sep Sci Technol 38:851–868. doi: 10.1081/Ss-120017630 CrossRefGoogle Scholar
  34. Trussell RS, Merlo RP, Hermanowicz SW, Jenkins D (2006) The effect of organic loading on process performance and membrane fouling in a submerged membrane bioreactor treating municipal wastewater. Water Res 40:2675–2683. doi: 10.1016/j.watres.2006.04.020 CrossRefGoogle Scholar
  35. Viero AF, Sant’Anna GL (2008) Is hydraulic retention time an essential parameter for MBR performance? J Hazard Mater 150:185–186. doi: 10.1016/j.jhazmat.2007.09.090 CrossRefGoogle Scholar
  36. Wang JX, Wei YS, Cheng YT (2014a) Advanced treatment of antibiotic wastewater by nanofiltration: membrane selection and operation optimization. Desalin Water Treat 52:7575–7585. doi: 10.1080/19443994.2013.833868 CrossRefGoogle Scholar
  37. Wang JX, Wei YS, Li K, Cheng YT, Li MY, Xu J (2014b) Fate of organic pollutants in a pilot-scale membrane bioreactor-nanofiltration membrane system at high water yield in antibiotic wastewater treatment. Water Sci Technol 69:876–881. doi: 10.2166/wst.2013.789 CrossRefGoogle Scholar
  38. Wang JX, Li K, Wei YS, Cheng YT, Wei D, Li MY (2015) Performance and fate of organics in a pilot MBR-NF for treating antibiotic production wastewater with recycling NF concentrate. Chemosphere 121:92–100. doi: 10.1016/j.chemosphere.2014.11.034 CrossRefGoogle Scholar
  39. Water and Wastewater Monitoring Method Editorial Committee (2002) Water and wastewater monitoring method. China Environmental Science Press, BeijingGoogle Scholar
  40. Xing ZP, Sun DZ (2009) Treatment of antibiotic fermentation wastewater by combined polyferric sulfate coagulation, Fenton and sedimentation process. J Hazard Mater 168:1264–1268. doi: 10.1016/j.jhazmat.2009.03.008 CrossRefGoogle Scholar
  41. Zhou Y, Xu ZL, Munib S, Chen GE, Lu Q (2009) Sustainable membrane operation design for the treatment of the synthetic coke wastewater in SMBR. Water Sci Technol 60:2115–2124. doi: 10.2166/wst.2009.540 CrossRefGoogle Scholar
  42. Zuriaga-Agustí E, Alventosa-deLara E, Barredo-Damas S, Alcaina-Miranda MI, Iborra-Clar MI, Mendoza-Roca JA (2014) Performance of ceramic ultrafiltration membranes and fouling behavior of a dye-polysaccharide binary system. Water Res 54:199–210. doi: 10.1016/j.watres.2014.01.064 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Dawei Yu
    • 1
    • 2
  • Yutao Chen
    • 1
    • 2
  • Yuansong Wei
    • 1
    • 2
    • 3
  • Jianxing Wang
    • 1
    • 2
  • Yawei Wang
    • 1
    • 2
  • Kun Li
    • 1
    • 2
  1. 1.State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina
  2. 2.Department of Water Pollution Control Technology, Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina
  3. 3.Beijing Key Laboratory of Industrial Wastewater Treatment and Reuse, Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina

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