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Textile dye biodecolourization and ammonium removal over nitrite in aerobic granular sludge sequencing batch reactors

Sarvajith, M., Reddy, G. Kiran Kumar, Nancharaiah, Y.V.·2018·Journal of Hazardous Materials

Abstract

Biodecolourization of azo dye and removal of ammonium by aerobic granular sludge (AGS) was investigated under different growth conditions. AGS not previously exposed to azo dye was able to effectively decolourize azo dye under anaerobic and microaerophilic conditions. Azo dye, total organic carbon and ammoniacal nitrogen removal efficiencies of 89-100%, 79-95% and 92-100%, respectively, were achieved in the AGS reactor operated for 80days under microaerophilic conditions. Removal of carbon, nitrogen and phosphorus was not impacted by azo dye loading. Azo dye, organic carbon and ammonium were majorly removed in the anoxic period wherein bulk dissolved oxygen was ranged from 0.5 and -1 . Removal of 60mgL -1 NH 4 + -N was associated only with smaller amounts of nitrite build-up (∼5mgL -1 NO 2 - -N) and negligible nitrate concentrations. Profiles of nitrogen compounds in individual sequencing batch reactor cycles supported the occurrence of ammonium removal over nitrite pathway. Bacterial community analysis showed enrichment of specific microorganisms capable of decolourizing azo dyes in the dye-decolourizing AGS. Dye decolourization and nutrient removal by AGS under microaerophilic conditions is a novel finding and can be further developed for treating textile wastewaters onsite or after dilution with sewage.

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  • The role of bacteria in bioremediation can be based on adsorption of contaminants from aqueous media through different mechanisms using dead biomasses.

    “The role of bacteria in bioremediation applications can be based on the adsorption of contaminants from aqueous media (Sarvajith et al., 2018) through different mechanisms using dead biomasses (Roy et al., 2018).”

    From Biomass-Based Adsorbents for Removal of Dyes From Wastewater: A Review (2021) · cites this paper as Sarvajith et al., 2018

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Research works printed but not linked: 38

  1. Korbathi, 2008, Electrochemical treatment of simulated textile wastewater with industrial components and Levafix Blue CA reactive dye: optimization through response surface methodology, J. Hazard. Mater., 151, 422, 10.1016/j.jhazmat.2007.06.010 · DOI
  2. Lotito, 2012, Effective aerobic granular sludge treatment of a real dyeing textile wastewater, Int. Biodeterior. Biodegrad., 69, 62, 10.1016/j.ibiod.2012.01.004 · DOI
  3. Pearce, 2003, The removal of colour from textile wastewater using whole bacterial cells: a review, Dyes Pigm., 58, 179, 10.1016/S0143-7208(03)00064-0 · DOI · Paper page
  4. Saratale, 2011, Bacterial decolorization and degradation of azo dyes: a review, J. Taiwan Inst. Chem. Eng., 42, 138, 10.1016/j.jtice.2010.06.006 · DOI · Paper page
  5. Hong, 2010, Physiology and biochemistry of reduction of azo compounds by Shewanella strains relevant to electron transport chain, Appl. Microbiol. Biotechnol., 88, 637, 10.1007/s00253-010-2820-z · DOI
  6. Tomei, 2016, Analysing performance of real textile wastewater bio-decolourization under different reaction environments, J. Clean. Prod., 129, 468, 10.1016/j.jclepro.2016.04.028 · DOI
  7. Ong, 2005, Treatment of azo dye Orange II in aerobic and anaerobic-SBR systems, Proc. Biochem., 40, 2907, 10.1016/j.procbio.2005.01.009 · DOI
  8. Venkata Mohan, 2012, Acid azo dye remediation in anoxic-aerobic-anoxic microenvironment under periodic discontinuous batch operation: bio-electro kinetics and microbial inventory, Bioresour. Technol., 119, 362, 10.1016/j.biortech.2012.05.125 · DOI
  9. Muda, 2010, Development of granular sludge for textile wastewater treatment, Water Res., 44, 4341, 10.1016/j.watres.2010.05.023 · DOI
  10. Ahn, 1999, Dyestuff wastewater treatment using chemical oxidation, physical adsorption and fixed bed biofilm process, Process Biochem., 34, 429, 10.1016/S0032-9592(98)00111-3 · DOI
  11. Lourenço, 2015, Comparing aerobic granular sludge and flocculent sequencing batch reactor technologies for textile wastewater treatment, Biochem. Eng. J., 104, 57, 10.1016/j.bej.2015.04.025 · DOI
  12. Li, 2014, Aerobic sludge granulation in a full-scale sequencing batch reactor, BioMed Res. Int., 12
  13. Pronk, 2015, Full scale performance of the aerobic granular sludge process for sewage treatment, Water Res., 84, 207, 10.1016/j.watres.2015.07.011 · DOI
  14. Sarma, 2016, Finding gaps in aerobic granulation technology, Trends Biotechnol., 35, 66, 10.1016/j.tibtech.2016.07.003 · DOI
  15. Kiran Kumar Reddy, 2017, 2,4-Dinitrotoluene removal in aerobic granular biomass sequencing batch reactors, Int. Biodeterior. Biodegrad., 119, 56, 10.1016/j.ibiod.2016.10.045 · DOI
  16. Nancharaiah, 2015, Biodegradation of tributyl phosphate, an organophosphate triester, by aerobic granular biofilms, J. Hazard. Mater., 283, 705, 10.1016/j.jhazmat.2014.09.065 · DOI
  17. Derlon, 2016, Formation of aerobic granules for the treatment of real and low-strength municipal wastewater using sequencing batch reactor operated at constat volume, Water Res., 105, 341, 10.1016/j.watres.2016.09.007 · DOI
  18. Lotito, 2014, Textile wastewater treatment: aerobic granular sludge vs activated sludge systems, Water Res., 54, 337, 10.1016/j.watres.2014.01.055 · DOI
  19. Moghaddam, 2016, Aerobic granular sludge for dye biodegradation in a sequencing batch reactor with anaerobic/aerobic cycles, Clean Soil Air Water, 44, 438, 10.1002/clen.201400855 · DOI
  20. Franciscon, 2009, Microaerophilic–aerobic sequential decolourization/biodegradation of textile azo dyes by a facultative Klebsiella sp. strain VN-31, Process Biochem., 44, 446, 10.1016/j.procbio.2008.12.009 · DOI
  21. Nancharaiah, 2008, Bioaugmentation of aerobic microbial granules with Pseudomonas putida carrying TOL plasmid, Chemosphere, 71, 30, 10.1016/j.chemosphere.2007.10.062 · DOI
  22. Nancharaiah, 2006, Biodegradation of nitrilotriacetic acid (NTA) and ferric-NTA complex by aerobic microbial granules, Water Res., 40, 1539, 10.1016/j.watres.2006.02.006 · DOI
  23. Suja, 2012, P-Nitrophenol biodegradation by aerobic microbial granules, Appl. Biochem. Biotechnol., 167, 1569, 10.1007/s12010-012-9594-y · DOI
  24. Jadhav, 2008, Biodegradation of methyl red by Galactomyces geotrichum MTCC 1360, Int. Biodeterior. Biodegrad., 62, 135, 10.1016/j.ibiod.2007.12.010 · DOI
  25. Nancharaiah, 2011, Denitrification of synthetic concentrated nitrate wastes by aerobic granular sludge under anoxic conditions, Chemosphere, 85, 683, 10.1016/j.chemosphere.2011.06.077 · DOI
  26. Lochmatter, 2014, Nitrogen removal over nitrite by aeration control in aerobic granular sludge sequencing batch reactors, Int. J. Environ. Res. Public Health, 11, 6955, 10.3390/ijerph110706955 · DOI
  27. Winkler, 2015, Influence of partial denitrification and mixotrophic growth of NOB on microbial distribution in aerobic granular sludge, Environ. Sci. Technol., 49, 11003, 10.1021/acs.est.5b01952 · DOI
  28. Hellinga, 1998, The sharon process: an innovative method for nitrogen removal from ammonium-rich waste water, Water Sci. Technol., 37, 135, 10.2166/wst.1998.0350 · DOI
  29. Nancharaiah, 2016, Recent advances in nutrient removal and recovery in biological and bioelectrochemical systems, Bioresour. Technol., 215, 173, 10.1016/j.biortech.2016.03.129 · DOI
  30. Zhang, 2012, 454 Pyrosequencing reveals bacterial diversity of activated sludge from 14 sewage treatment plants, ISME J., 6, 1137, 10.1038/ismej.2011.188 · DOI
  31. Heiss, 1992, Cloning of DNA from a Rhodococcus strain conferring the ability to decolorize sulfonated azo dyes, FEMS Microbiol. Lett., 99, 221, 10.1111/j.1574-6968.1992.tb05571.x · DOI
  32. Qi, 2016, Biochemical characterization of an azoreductase from Rhodococcus opacus 1CP possessing methyl red degradation ability, J. Mol. Catal. B Enzym., 130, 9, 10.1016/j.molcatb.2016.04.012 · DOI
  33. Rajeswari, 2013, Decolorization and degradation of textile dyes by Stenotrophomonas maltophilia RSV-2, Int. J. Environ. Biorem. Biodegrad., 1, 60
  34. van Kessel, 2015, Complete nitrification by a single microorganism, Nature, 528, 555, 10.1038/nature16459 · DOI
  35. Holkar, 2016, A critical review on textile wastewater treatments: possible approaches, J. Environ. Manage., 182, 351, 10.1016/j.jenvman.2016.07.090 · DOI · Paper page
  36. Kornaros, 2006, Biological treatment of wastewaters from a dye manufacturing company using a trickling filter, J. Hazard. Mater., 136, 95, 10.1016/j.jhazmat.2005.11.018 · DOI
  37. Carucci, 2010, A direct comparison amongst different technologies (aerobic granular sludge: SBR and MBR) for the treatment of wastewater contaminated by 4-chlorophenol, J. Hazard. Mater., 177, 1119, 10.1016/j.jhazmat.2010.01.037 · DOI
  38. Zhang, 2016, Physiological and functional diversity of phenol degraders isolated from phenol-grown aerobic granules: phenol degradation kinetics and trichloroethylene co-metabolic activities, J. Environ. Manage., 169, 34, 10.1016/j.jenvman.2015.12.021 · DOI

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Metadata

Authors
Sarvajith, M., Reddy, G. K. K., & Nancharaiah, Y. V.
Venue
Journal of Hazardous Materials
Publisher
Elsevier BV
Published
2018-01
Volume
342
Pages
536-543
ISSN
0304-3894
Cited by
131
References
0
Language
en

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