Sulfate reduction and filtration performances of an anaerobic membrane bioreactor (AnMBR)

Şahinkaya, Erkan; Yurtsever, Adem; Isler, Ece; Çoban, Işık; Aktaş, Özgür

doi:10.1016/j.cej.2018.05.001

Cited by 55 publications

(13 citation statements)

References 39 publications

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“…A study was conducted by Sahinkaya, Yurtsever, Isler, Coban, and Aktaş (2018) to evaluate the performance of sulfate-reducing anaerobic MBRs (AnMBRs) and investigate the membrane foulants and filtration characteristics. Results showed that sulfate-reducing AnMBR offers potential for real scale applications.…”

Section: Membrane Treatment Technologiesmentioning

confidence: 99%

Food‐processing wastes

Frenkel

Cummings

Maillacheruvu

et al. 2020

Water Environment Research

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Literature published in 2018 and literature published in 2019 related to food-processing wastes treatment for industrial applications are reviewed. This review is a subsection of the Treatment Systems section of the annual Water Environment Federation literature review and covers the following food-processing industries and applications: general, meat and poultry, fruits and vegetables, dairy and beverage, and miscellaneous treatment of food wastes.

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Section: Membrane Treatment Technologiesmentioning

confidence: 99%

Food‐processing wastes

Frenkel

Cummings

Maillacheruvu

et al. 2020

Water Environment Research

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“…Muhammad et al 6 showed that under suitable conditions, SRB could survive in the environment containing sulfate and various metal ions, and the reduction reaction could reduce 87–100% of iron, lead, copper, zinc and aluminum. Sahinkaya et al 7 found that the final sulfate reduction rate could reach 90% in a sulfate-reducing MBR reactor when SRB was inoculated into wastewater with a sulfate concentration of 2000 mg/L and a COD/sulfate of 0.75. SRB is a prokaryote living in anaerobic environment.…”

Section: Introductionmentioning

confidence: 99%

Dynamic experiments of acid mine drainage with Rhodopseudomonas spheroides activated lignite immobilized sulfate-reducing bacteria particles treatment

Wang

et al. 2022

Sci Rep

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Aiming at the problem that the treatment of acid mine drainage (AMD) by sulfate-reducing bacteria (SRB) biological method is susceptible to pH, metal ions, sulfate and carbon source. Lignite immobilized SRB particles (SRB-LP) and Rhodopseudomonas spheroides (R. spheroides) activated lignite immobilized SRB particles (R-SRB-LP) were prepared using microbial immobilization technology with SRB, R. spheroides and lignite as the main substrates. The dynamic experimental columns 1# and 2# were constructed with SRB-LP and R-SRB-LP as fillers, respectively, to investigate the dynamic repair effect of SRB-LP and R-SRB-LP on AMD. The mechanism of AMD treated with R-L-SRB particles was analyzed by scanning electron microscopy (SEM), fourier transform infrared (FTIR) spectrometer and low-temperature nitrogen adsorption. The result showed that the combination of R. spheroides and lignite could continuously provide carbon source for SRB, so that the highest removal rates of SO42−, Cu2+ and Zn2+ in AMD by R-SRB-LP were 93.97%, 98.52% and 94.42%, respectively, and the highest pH value was 7.60. The dynamic repair effect of R-SRB-LP on AMD was significantly better than that of SRB-LP. The characterization results indicated that after R-SRB-LP reaction, the functional groups of −OH and large benzene ring structure in lignite were broken, the lignite structure was destroyed, and the specific surface area was 1.58 times larger than before reaction. It illustrated that R. spheroides provided carbon source for SRB by degrading lignite. The strong SRB activity in R-SRB-LP, SRB can co-treat AMD with lignite, so that the dynamic treatment effect of R-SRB-LP on AMD is significantly better than that of SRB-LP.

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“…The results manifested that the degree of membrane fouling was identified based on the predictive values which have better accuracy than that of the mechanism model. Although soft-computing methods have achieved great success on warning membrane fouling, they are incompetent to deal with the uncertainties arising from dynamic environment, incomplete and noisy data, imprecise measurements, etc., which often make-early warning results inconsistent and subjective [18,19].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network

Han

Zhang

et al. 2021

Int. J. Fuzzy Syst.

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The warning of membrane fouling is of great important to maintain the stable operation of membrane bioreactor (MBR). However, traditional methods are so error-prone that probably do not acquire reliable solutions of membrane fouling due to its uncertainties. To overcome this problem, an intelligent warning method is proposed to monitor the status of MBR in this paper. The main advantages in this paper are as follows. First, an identification method, based on robust deep neural network (RDNN), is developed to diagnose the different types of membrane fouling. Second, a decision-making method, based on the restricted Boltzmann machine (RBM), is designed to distinguish the operational suggestion. Third, an intelligent warning system, based on the above two methods and some sensors, is developed to mitigate the membrane fouling in real wastewater treatment plants. Finally, the simulation and experimental results demonstrate the proposed warning method can obtain the higher identification accuracy of membrane fouling than other methods.

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Sulfate reduction and filtration performances of an anaerobic membrane bioreactor (AnMBR)

Cited by 55 publications

References 39 publications

Food‐processing wastes

Food‐processing wastes

Dynamic experiments of acid mine drainage with Rhodopseudomonas spheroides activated lignite immobilized sulfate-reducing bacteria particles treatment

Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network

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