Denitrifying kinetics involving the distributed ratio of reductases

Her, Jiunn‐Jye; Huang, Jow-Lay

doi:10.1002/jctb.280620308

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…The reported half‐saturation coefficients (KNO 2 and KNO 3 ) are 0.9 mgNO 2 –N/L and 1.4 mgNO 3 –N/L for acetate (Dosta, Galı, El‐Hadj, Mace, & Alvarez, ) and 0.28 mg NO 2 –N/L and 0.77 mgNO 3 –N/L for l ‐glutamic acid (Kornaros et al., ). However, Her and Huang () reported KNO 2 of 10.9 mg/L and KNO 3 of 14.3 mg/L with methanol which are higher than the values reported in this work.…”

Section: Resultscontrasting

confidence: 85%

Effect of COD/N ratio on denitrification from nitrite

Badia

Kim

Nakhla

et al. 2019

Water Environment Research

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The objective of this study was to investigate dynamic specific denitrification rates (SDNRs) from nitrite at various chemical oxygen demand (COD)/nitrogen (N) ratios using municipal wastewater (MWW). A sequencing batch reactor (SBR) continuously fed with primary effluent and nitrite solution was operated at hydraulic retention time of 8.4 hr and solids retention time of 26-30 days for 3 months. Influent MWW characteristics varied significantly during the study, that is, 200-810 mgCOD/L and 6-80 mgN/L. The SDNRs from the SBR were compared with those determined in four batch reactors using acetate. The SDNR was directly related to COD/N until a maximum SDNR (mgNO 2 -N/mgVSS/day) of 0.07 for MWW and 0.4 for acetate occurred at COD/N ratios of 6 and 13, respectively; beyond this COD/N ratio, SDNR decreased. The biomass yield coefficients (mgVSS/mgCOD) were 0.33 for MWW and 0.51 for acetate. The relationships of SDNR with COD/N and F/M ratios were developed. © 2018 Water Environment Federation • Practitioner points• The optimum carbon dose for denitrification should be determined using acclimatized biomass. • Each carbon source should only be dosed at an optimum that maximizes denitrification.

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Section: Resultscontrasting

confidence: 85%

Effect of COD/N ratio on denitrification from nitrite

Badia

Kim

Nakhla

et al. 2019

Water Environment Research

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“…Consequently, full-scale implementation of heterotrophic denitrification is still guided by a somewhat empirical understanding of its microbial ecology and biokinetics, which in turn limits efforts to optimize denitrification reactor design, monitoring and modeling. Although biokinetic parameters for methylotrophic denitrification in activated sludge have been extensively reported (dos Santos et al, 2004;Gauntlett, 1979;Her and Huang, 1995;Janning et al, 1995;Lee and Welander, 1996;Louzeiro et al, 2002;Mulcahy et al, 1981;Purtschert and Gujer, 1999), the actual abundance and diversity of organisms in activated sludge that actually metabolize methanol and alternate carbon and electron sources has only recently been identified (Ginige et al, 2004(Ginige et al, , 2005Osaka et al, 2006Osaka et al, , 2008. The reason for such sparse data on the identity of bacterial populations denitrifying using specific electron donors is that unlike nitrifying bacteria, which are phylogenetically closely related (Purkhold et al, 2000), denitrifying bacteria are distributed widely across taxonomic groups (Zumft, 1997).…”

Section: Introductionmentioning

confidence: 99%

Impact of varying electron donors on the molecular microbial ecology and biokinetics of methylotrophic denitrifying bacteria

Baytshtok

Lü

Park

et al. 2008

Biotech & Bioengineering

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The goal of this study was to identify bacterial populations that assimilated methanol in a denitrifying sequencing batch reactor (SBR), using stable isotope probing (SIP) of (13)C labeled DNA and quantitatively track changes in these populations upon changing the electron donor from methanol to ethanol in the SBR feed. Based on SIP derived (13)C 16S rRNA gene clone libraries, dominant SBR methylotrophic bacteria were related to Methyloversatilis spp. and Hyphomicrobium spp. These methylotrophic populations were quantified via newly developed real-time PCR assays. Upon switching the electron donor from methanol to ethanol, Hyphomicrobium spp. concentrations decreased significantly in accordance with their obligately methylotrophic nutritional mode. In contrast, Methyloversatilis spp. concentrations were relatively unchanged, in accordance with their ability to assimilate both methanol and ethanol. Direct assimilation of ethanol by Methyloversatilis spp. but not Hyphomicrobium spp. was also confirmed via SIP. The reduction in methylotrophic bacterial concentration upon switching to ethanol was paralleled by a significant decrease in the methanol supported denitrification biokinetics of the SBR on nitrate. In sum, the results of this study demonstrate that the metabolic capabilities (methanol assimilation and metabolism) and substrate specificity (obligately or facultatively methylotrophic) of two distinct methylotrophic bacterial populations contributed to their survival or washout in denitrifying bioreactors.

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“…In denitratification, the first step (NO 3 − → NO 2 − ) can reduce nitrate to nitrite only. In other words, competition in the second step (NO 2 − → N 2 ) will be essential for nitrogen removal (Her and Huang, 1995). Accordingly, when nitrate is introduced into anoxic filters, nitrate will be diffused from the bulk liquid into the biofilm and reduced by nitrate-reductase.…”

Section: Introductionmentioning

confidence: 99%

Kinetics of denitritification and denitratification in anoxic filters

Huang

Her

Jih

1998

Biotechnol. Bioeng.

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Denitritification and denitratification in anoxic filters were performed to generate experimental data. Also, a kinetic model of denitratification that accounts for intrinsic biokinetics and hydrodynamic behavior of the biofilter is proposed. In denitritification, the simulated results are in good agreement with the experimental data; and a higher nitrite influent concentration gives a higher nitrite reduction efficiency if the denitrifying loading is kept the same. In denitratification, the intermediate nitrite tends to accumulate, and a higher denitrifying loading results in a higher nitrite effluent concentration. By inserting biological and physical parameter values into the kinetic model, the variations in distributed fractions of nitrate‐reductase (f) and nitrite‐reductase (1‐f) with different denitrifying loadings can be estimated by fitting in experimental data. The estimated f increased with an increase in denitrifying loading, implying that a higher denitrifying loading results in a higher nitrite effluent concentration. From parametric sensitivity analyses, the parameter f is more sensitive than other biological and physical parameters. Accordingly, the proposed kinetic model of denitratification can be used to predict the treatment performance of anoxic filters appropriately. © 1998 John Wiley & Sons, Inc. Biotechnol Bioeng 59:52–61, 1998.

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Denitrifying kinetics involving the distributed ratio of reductases

Cited by 6 publications

References 13 publications

Effect of COD/N ratio on denitrification from nitrite

Effect of COD/N ratio on denitrification from nitrite

Impact of varying electron donors on the molecular microbial ecology and biokinetics of methylotrophic denitrifying bacteria

Kinetics of denitritification and denitratification in anoxic filters

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