Real-time biomonitoring of oxygen uptake rate and biochemical oxygen demand using a novel optical biogas respirometric system

Hussain, Fida; Yu, Hye-Weon; Chon, Kangmin; Lee, Yong-Gu; Eom, Heonseop; Chae, Kyu-Jung; Oh, Sang-Eun

doi:10.1016/j.jenvman.2020.111467

Cited by 15 publications

(6 citation statements)

References 8 publications

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“…OUR (0.623**) increased with an increase in biomass concentration in the biological treatment process. When OUR increases, it implies that microorganisms are alive and growth is taking place but when OUR decreases, it indicates that nutrients have been used up in the biological treatment process [ 43 , 44 ]. Therefore, in order to maintain high OUR, nutrients should be available for microorganisms to continue feeding and reproducing.…”

Section: Resultsmentioning

confidence: 99%

Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process

Muloiwa

Dinka

Nyende‐Byakika

2023

Engineering in Life Sciences

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The biological treatment process is responsible for removing organic and inorganic matter in wastewater. This process relies heavily on microorganisms to successfully remove organic and inorganic matter. The aim of the study was to model biomass growth in the biological treatment process. Multilayer perceptron (MLP) Artificial Neural Network (ANN) algorithm was used to model biomass growth. Three metrics: coefficient of determination ( R 2 ), root mean squared error (RMSE), and mean squared error (MSE) were used to evaluate the performance of the model. Sensitivity analysis was applied to confirm variables that have a strong influence on biomass growth. The results of the study showed that MLP ANN algorithm was able to model biomass growth successfully. R 2 values were 0.844, 0.853, and 0.823 during training, validation, and testing phases, respectively. RMSE values were 0.7476, 1.1641, and 0.7798 during training, validation, and testing phases respectively. MSE values were 0.5589, 1.3551, and 0.6081 during training, validation, and testing phases, respectively. Sensitivity analysis results showed that temperature (47.2%) and dissolved oxygen (DO) concentration (40.2%) were the biggest drivers of biomass growth. Aeration period (4.3%), chemical oxygen demand (COD) concentration (3.2%), and oxygen uptake rate (OUR) (5.1%) contributed minimally. The biomass growth model can be applied at different wastewater treatment plants by different plant managers/operators in order to achieve optimum biomass growth. The optimum biomass growth will improve the removal of organic and inorganic matter in the biological treatment process.

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Section: Resultsmentioning

confidence: 99%

Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process

Muloiwa

Dinka

Nyende‐Byakika

2023

Engineering in Life Sciences

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Section: Challenges and Future Investigationsmentioning

confidence: 99%

“…Ponce et al [ 155 ] reported that they kept the OTR controlled throughout the process to maintain efficiency. Hussain et al [ 156 ] reported an OUR value of 0.22 mg O 2 /Lh, while Bustos-Terrones et al [ 1 ] reported an OUR value of 0.75 mg O 2 /Lh for domestic wastewater. Similar results have been reported by Bandaiphet and Prasertsan [ 157 ], who mentioned that oxygen consumption and OUR values depend on the amount of biomass.…”

Section: Dissolved Oxygen Consumption Rate Of Immobilized Microorganismsmentioning

confidence: 99%

“…It can be observed that, after 12 h, complete DO depletion occurred in the sample with the immobilized consortium, which was likely due to its consumption by microorganisms. The relationship between DO and biomass concentration is linked through the oxygen mass balance [ 156 ], and the levels of oxygen consumption and OUR values are contingent upon the biomass quantity. The activated sludge was analyzed for volatile suspended solids (VSSs), and the biomass displayed values of approximately 5600 mg.L −1 .…”

Section: Case Studymentioning

confidence: 99%

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A Review of the Strategic Use of Sodium Alginate Polymer in the Immobilization of Microorganisms for Water Recycling

Bustos-Terrones

2024

Polymers

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In the quest for advanced and environmentally friendly solutions to address challenges in the field of wastewater treatment, the use of polymers such as sodium alginate (Na-Alg) in combination with immobilized microorganisms (IMs) stands out as a promising strategy. This study assesses the potential of Na-Alg in immobilizing microorganisms for wastewater treatment, emphasizing its effectiveness and relevance in environmental preservation through the use of IMs. Advances in IMs are examined, and the interactions between these microorganisms and Na-Alg as the immobilization support are highlighted. Additionally, models for studying the kinetic degradation of contaminants and the importance of oxygen supply to IMs are detailed. The combination of Na-Alg with IMs shows promise in the context of improving water quality, preserving ecological balance, and addressing climate change, but further research is required to overcome the identified challenges. Additional areas to explore are discussed, which are expected to contribute to the innovation of relevant systems.

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“…The design of such a biosensor provides a high cell density in the receptor element, which is higher than in natural or waste water due to the continuous supply of organic matter. On the other hand, the microbial community inside the bioreactor is fully adapted to the analyzed organic substrates, which significantly reduces the analysis time [ 39 ]. The response time of such analyzers is usually less than 45 min, making it possible to monitor wastewaters in real time.…”

Section: Types Of Transducersmentioning

confidence: 99%

Microbial Biosensors for Rapid Determination of Biochemical Oxygen Demand: Approaches, Tendencies and Development Prospects

et al. 2022

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One of the main indices of the quality of water is the biochemical oxygen demand (BOD). A little over 40 years have passed since the practical application of the first microbial sensor for the determination of BOD, presented by the Japanese professor Isao Karube. This time span has brought new knowledge to and practical developments in the use of a wide range of microbial cells based on BOD biosensors. At present, this field of biotechnology is becoming an independent discipline. The traditional BOD analysis (BOD5) has not changed over many years; it takes no less than 5 days to carry out. Microbial biosensors can be used as an alternative technique for assessing the BOD attract attention because they can reduce hundredfold the time required to measure it. The review examines the experience of the creation and practical application of BOD biosensors accumulated by the international community. Special attention is paid to the use of multiple cell immobilization methods, signal registration techniques, mediators and cell consortia contained in the bioreceptor. We consider the use of nanomaterials in the modification of analytical devices developed for BOD evaluation and discuss the prospects of developing new practically important biosensor models.

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Real-time biomonitoring of oxygen uptake rate and biochemical oxygen demand using a novel optical biogas respirometric system

Cited by 15 publications

References 8 publications

Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process

Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process

A Review of the Strategic Use of Sodium Alginate Polymer in the Immobilization of Microorganisms for Water Recycling

Microbial Biosensors for Rapid Determination of Biochemical Oxygen Demand: Approaches, Tendencies and Development Prospects

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