Enhanced elementary sulfur recovery in integrated sulfate-reducing, sulfur-producing rector under micro-aerobic condition

Xu, Xiaomei; Chen, Chuan; Wang, Aijie; Fang, Ning; Yuan, Y.; Lee, Duu-Jong

doi:10.1016/j.biortech.2012.03.095

Cited by 82 publications

(42 citation statements)

References 19 publications

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“…The four key parameters, μ An,FB , K S SRB , K I,NO3 SRB , and K I,SO4 NRB in this model were 13 estimated by fitting simulation results to the experimental data from Culture 1 with an initial nitrate concentration of 500 mg L -1 ( Table 3). The close agreement between the model simulations and the measured sulfate, nitrate, sulfide, acetate, methane and lactate data (Fig.…”

Section: Model Calibration and Validation For Culturementioning

confidence: 99%

“…3 reveals the close correlation between the simulation and experimental results. In the model calibration, the data for elemental sulfur were estimated by mass balance calculation [13]. Additionally, parameter values related to sulfide oxidation and oxygen consumption were available in the literature and were adopted as provided.…”

Section: Model Calibration and Validation For Culturementioning

confidence: 99%

“…The biological removal of carbon, nitrogen and sulfur that are simultaneously present in waste streams, incorporates several groups of microorganisms, including sulfate-reducing bacteria (SRB), sulfide-oxidizing bacteria (SOB), nitrate-reducing sulfide-oxidizing bacteria (NR-SOB), and heterotrophic nitrate reducing bacteria (NRB) [11][12][13][14]. In an anaerobic/anoxic habitat, facultative bacteria (FB) and methane producing archaea (MPA) can co-exist with the other strains for carbon degradation.…”

Section: Introductionmentioning

confidence: 99%

“…Considering only the two sequential reactions with SRB (sulfate reduction) and SOB (sulfide oxidation) yields the so-called SR-SO process [15]. Under micro-aerobic conditions (DO<0.5 mg/L), these two steps can be achieved in a single reactor [13], which can be described as the SR-SO process and the O2OH -step. The denitrifying 4 sulfide removal (DSR) process proposed by Chen et al [12] is equivalent to the two steps R4 and R3 in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…Complicated interactions between different groups of microorganisms can lead to fruitful reactor dynamics [11,13,[25][26][27][28]. Mathematical modeling has been proven to be an effective tool to understand complex biological wastewater treatment processes.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Chen

Wang

et al. 2017

Journal of Hazardous Materials

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(Nan-Qi Ren) 2 Highlights:1. Simultaneous C-N-S removal from industrial wastewater was mathematically modeled 2. Interactions between SRB, NRB, SOB, FB and MPA were depicted in the model 3. Kinetic parameters for competitive coefficient between SRB and NRB were best estimated 4. The developed mode was the first simulation tool for complicated C-N-S dynamics 5. The model was versatile and feasible to predict relevant processes (e.g., SR-SO, DSR)ABSTRACT A mathematical model of carbon, nitrogen and sulfur removal (C-N-S) from industrial wastewater was constructed considering the interactions of sulfate-reducing bacteria (SRB), sulfide-oxidizing bacteria (SOB), nitrate-reducing bacteria (NRB), facultative bacteria (FB), and methane producing archaea (MPA). For the kinetic network, the bioconversion of C-N by heterotrophic denitrifiers (NO3 -→NO2 -→N2), and that of C-S by SRB (SO4 2-→S 2-) and SOB (S 2-→S 0 ) was proposed and calibrated based on batch experimental data. The model closely predicted the profiles of nitrate, nitrite, sulfate, sulfide, lactate, acetate, methane and oxygen under both anaerobic and micro-aerobic conditions. The best-fit kinetic parameters had small 95% confidence regions with mean values approximately at the center. The model was further validated using independent data sets generated under different operating conditions. This work was the first successful mathematical modeling of simultaneous C-N-S removal from industrial wastewater and more importantly, the proposed model was proven feasible to simulate other relevant processes, such as sulfate-reducing, sulfide-oxidizing process (SR-SO) and denitrifying sulfide removal (DSR) process. The model developed is expected to enhance our ability to predict the treatment of carbon-nitrogen-sulfur contaminated industrial wastewater.

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Section: Model Calibration and Validation For Culturementioning

confidence: 99%

Section: Model Calibration and Validation For Culturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Chen

Wang

et al. 2017

Journal of Hazardous Materials

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Biotechnology for Sustainable Remediation of Contaminated Wastewater

Hajam

2023

Aquatic Contamination

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Simultaneous removal of sulfur and nitrogen compounds with methane production from concentrated latex wastewater in two bioreactor zones of micro‐oxygen hybrid reactor

Su‐ungkavatin

Thongnueakhaeng

Chaiprasert

2019

J of Chemical Tech & Biotech

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BACKGROUND A micro‐oxygen hybrid reactor (MOHR), a two‐zone reactor with suspended sludge zone (SZ) and attached biofilm zone (AZ) at its lower and upper parts respectively, was applied to simultaneously remove sulfur and nitrogen compounds with methane production from concentrated latex wastewater with high concentrations of sulfate (1200 mg L−1) and ammonium (235 mg L−1). Microbial community structures coupled with microbial activities were analyzed and discussed for clarifying relationships of microorganisms in both zones of the MOHR. RESULTS The operating dissolved oxygen in the MOHR was controlled at 0.10–0.15 and 0.05 mg L−1 in the SZ and AZ respectively at various loading rates (LRs) and hydraulic retention times (HRTs). The average optimal overall performances of the MOHR for sulfate (SO42−), total Kjeldahl nitrogen (TKN) and chemical oxygen demand (COD) removal efficiencies were 90.3, 67.8 and 93.0% respectively at HRT 10 days. Elemental sulfur and nitrogen gas were evaluated as major end‐products at 90.2 and 67.9% respectively, with 0.27 L CH4 g−1 CODremoved of methane selectivity. The genera Desulfobulbus and Dongia as well as Thiobacillus denitrificans served as dominant microorganisms in biological sulfate removal. The largest abundance belonged to denitrifying microorganisms with nitrous oxide reductase (nosZ) as target gene. CONCLUSION The MOHR achieved high performance in simultaneous removal of sulfur and nitrogen compounds along with methane production at HRT 10 days. Microorganisms involved in sulfur and nitrogen compound removal processes were more prevalent in the SZ than in the AZ, whereas methanogenic activity was higher in the AZ than in the SZ. © 2019 Society of Chemical Industry

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Enhanced elementary sulfur recovery in integrated sulfate-reducing, sulfur-producing rector under micro-aerobic condition

Cited by 82 publications

References 19 publications

Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Mathematical modeling of simultaneous carbon-nitrogen-sulfur removal from industrial wastewater

Biotechnology for Sustainable Remediation of Contaminated Wastewater

Simultaneous removal of sulfur and nitrogen compounds with methane production from concentrated latex wastewater in two bioreactor zones of micro‐oxygen hybrid reactor

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