Determination of seawater biochemical oxygen demand based on in situ cultured biofilm reactor

Lv, Huan; Yang, Qian; Chen, Yiliang; Xu, Xiaolong; Liu, Changyu; Jia, Jianbo

doi:10.1016/j.jelechem.2021.115872

Cited by 4 publications

(5 citation statements)

References 29 publications

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“…Natural mixed microorganisms often exhibit broad-spectrum degradation ability of different organics with the synergistic effect [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 30 ]. Therefore, different organics were selected to test the degradation spectrum of the BFR sensor.…”

Section: Resultsmentioning

confidence: 99%

“…Additionally, elevated salinity has inhibitory or toxic effects on the microbial activity and population structure in bioreactors, and it would reduce organic carbon removal efficiency [ 17 , 18 ]. Only the microorganisms cultured from seawater can survival in high-salinity water, which are suitable for the degradation of organics in the seawater [ 15 , 19 ]. As far as we know, there is no universal microbial sensor that can be used for the rapid BOD determination of different kinds of water bodies.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, we developed a new analytical method that embraces the advantages of both the BOD 5 method (wide applicability) and rapid BOD biosensors (rapidity) [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ]. Such a method employs a biofilm reactor (BFR) sensor that was cultivated with naturally microorganisms and can achieve rapid and indiscriminative biodegradability.…”

Section: Introductionmentioning

confidence: 99%

“…It overcomes the limitations of the previous BOD biosensor and improves the stability and service life to a great extent. It can be effectively applied to the water quality monitoring of coastal areas with high salt content [ 19 ]. What is more, the online analyzer based on the BFR sensor can continually operate over 30 days without human intervention and additional chemical reagent consumption.…”

Section: Introductionmentioning

confidence: 99%

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A Universal Biofilm Reactor Sensor for the Determination of Biochemical Oxygen Demand of Different Water Areas

Wang

Yang

et al. 2022

Molecules

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In this study, we developed a simple strategy to prepare a biofilm reactor (BFR) sensor for the universal biochemical oxygen demand (BOD) determination. The microorganisms in fresh water were domesticated by artificial seawater with different salinity gradients successively to prepare the BFR sensor. The prepared BFR sensor exhibits an efficient ability to degrade a variety of organic substances. The linear range of BOD determination by the BFR sensor is 1.0–10.0 mg/L−1 with a correlation coefficient of 0.9951. The detection limit is 0.30 mg/L according to three times of signal-to-noise ratio. What is more, the BFR sensor displayed excellent performances for the BOD determination of different water samples, including both fresh water and seawater. The 16S-rRNA gene sequencing technology was used to analyze the microbial species before and after the domestication. The results show that it is a general approach for the rapid BOD determination in different water samples.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Universal Biofilm Reactor Sensor for the Determination of Biochemical Oxygen Demand of Different Water Areas

Wang

Yang

et al. 2022

Molecules

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“…c. Biochemical Oxygen Demand Biochemical Oxygen Demand (BOD) is the amount of dissolved oxygen needed by microorganisms living in the aquatic environment to decompose or degrade organic waste substances contained in the aquatic environment. BOD serves to measure the amount of oxygen used by microbial populations in waters in response to the entry of organic matter that can be decomposed [20]. The BOD value is expressed in milligrams of oxygen per liter.…”

Section: Literature Study 31 Water Qualitymentioning

confidence: 99%

Dissolved Oxygen Prediction of the Ciliwung River using Artificial Neural Networks, Support Vector Machine, and Streeter-Phelps

Rumbyarso

Chusna

Khumaidi

2022

JIM

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Evaluation of Ciliwung river water quality can be done by analyzing the distribution of dissolved oxygen (DO). The purpose of this research is to analyze the environmental parameters that affect the distribution of DO, by carrying out predictive modeling to estimate the distribution of DO in the Ciliwung River. The research data used primary data and secondary data, some of which were obtained from previous studies. The water quality parameters used are DO, temperature, biochemical oxygen demand, chemical oxygen demand, power of hydrogen, and turbidity. The dataset used has a missing value of 28.8%. To optimize the model results, preprocessing is carried out using a machine learning approach, namely comparing support vector machine (SVM), artificial neural networks (ANN), and linear regression. The three models were compared to predict DO, the results of performance evaluation of the SVM, ANN and Streeter-Phelps models had RMSE values of 0.110, 0.771, and 0.114.

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Environmental ammonia analysis based on exclusive nitrification by nitrifying biofilm screened from natural bioresource

et al. 2023

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Determination of seawater biochemical oxygen demand based on in situ cultured biofilm reactor

Cited by 4 publications

References 29 publications

A Universal Biofilm Reactor Sensor for the Determination of Biochemical Oxygen Demand of Different Water Areas

A Universal Biofilm Reactor Sensor for the Determination of Biochemical Oxygen Demand of Different Water Areas

Dissolved Oxygen Prediction of the Ciliwung River using Artificial Neural Networks, Support Vector Machine, and Streeter-Phelps

Environmental ammonia analysis based on exclusive nitrification by nitrifying biofilm screened from natural bioresource

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