Literature DB >> 29372520

Estimation of oxygen effective diffusion coefficient in a non-steady-state biofilm based on response time.

Jian-Hui Wang1, Hai-Yan Li1, You-Peng Chen2,3, Shao-Yang Liu4, Peng Yan1, Yu Shen5, Jin-Song Guo6,7, Fang Fang1.   

Abstract

In wastewater treatment, oxygen effective diffusion coefficient (D eff ) is a key parameter in the study of oxygen diffusion-reaction process and mechanism in biofilms. Almost all the reported methods for estimating the D eff rely on other biokinetic parameters, such as substrate consumption rate and reaction rate constant. Then, the estimation was complex. In this study, a method independent of other biokinetic parameters was proposed for estimating the dissolved oxygen (DO) D eff in biofilms. It was based on the dynamic DO microdistribution in a non-steady-state inactive biofilm, which was measured by the oxygen transfer modeling device (OTMD) combining with an oxygen microelectrode system. A pure DO diffusion model was employed, and the expression of the DO D eff was obtained by applying the analytical solution of the model to a selected critical DO concentration. DO D eff in the biofilm from the bioreactor was calculated as (1.054 ± 0.041) × 10-9 m2/s, and it was in the same order of magnitude with the reported results. Therefore, the method proposed in this study was effective and feasible. Without measurement of any other biokinetic parameters, this method was convenient and will benefit the study of oxygen transport-reaction process in biofilms and other biofouling deposits. Graphical abstract ᅟ.

Entities:  

Keywords:  Diffusion distance; Dynamic oxygen microdistribution; Dynamic oxygen profiles; Oxygen microelectrode; Response time; Wastewater treatment

Mesh:

Substances:

Year:  2018        PMID: 29372520     DOI: 10.1007/s11356-018-1227-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  16 in total

1.  Mass transfer enhancement in moving biofilm structures.

Authors:  Danial Taherzadeh; Cristian Picioreanu; Harald Horn
Journal:  Biophys J       Date:  2012-04-03       Impact factor: 4.033

2.  Liquid flow in heterogeneous biofilms.

Authors:  D de Beer; P Stoodley; Z Lewandowski
Journal:  Biotechnol Bioeng       Date:  1994-08-20       Impact factor: 4.530

3.  Biofilm dynamics characterization using a novel DO-MEA sensor: mass transport and biokinetics.

Authors:  Xavier Guimerà; Ana Moya; Antonio David Dorado; Rosa Villa; David Gabriel; Gemma Gabriel; Xavier Gamisans
Journal:  Appl Microbiol Biotechnol       Date:  2014-05-25       Impact factor: 4.813

4.  A multispecies biofilm model.

Authors:  O Wanner; W Gujer
Journal:  Biotechnol Bioeng       Date:  1986-03       Impact factor: 4.530

5.  Effects of Rate-Limited Mass Transfer on Modeling Vapor Intrusion with Aerobic Biodegradation.

Authors:  Yiming Chen; Deyi Hou; Chunhui Lu; Jim C Spain; Jian Luo
Journal:  Environ Sci Technol       Date:  2016-08-12       Impact factor: 9.028

6.  Dynamic characterization of external and internal mass transport in heterotrophic biofilms from microsensors measurements.

Authors:  Xavier Guimerà; Antonio David Dorado; Anna Bonsfills; Gemma Gabriel; David Gabriel; Xavier Gamisans
Journal:  Water Res       Date:  2016-07-07       Impact factor: 11.236

7.  Determination of pollutant diffusion coefficients in naturally formed biofilms using a single tube extractive membrane bioreactor.

Authors:  S Zhang; A Splendiani; L M dos Santos; A G Livingston
Journal:  Biotechnol Bioeng       Date:  1998-07-05       Impact factor: 4.530

8.  A new method to measure and model dynamic oxygen microdistributions in moving biofilms.

Authors:  Jian-Hui Wang; You-Peng Chen; Yang Dong; Xi-Xi Wang; Jin-Song Guo; Yu Shen; Peng Yan; Teng-Fei Ma; Xiu-Qian Sun; Fang Fang; Jing Wang
Journal:  Environ Pollut       Date:  2017-06-06       Impact factor: 8.071

9.  Heterogeneous electro-Fenton using modified iron-carbon as catalyst for 2,4-dichlorophenol degradation: influence factors, mechanism and degradation pathway.

Authors:  Chao Zhang; Minghua Zhou; Gengbo Ren; Xinmin Yu; Liang Ma; Jie Yang; Fangke Yu
Journal:  Water Res       Date:  2014-12-20       Impact factor: 11.236

10.  Complete nitrification by Nitrospira bacteria.

Authors:  Holger Daims; Elena V Lebedeva; Petra Pjevac; Ping Han; Craig Herbold; Mads Albertsen; Nico Jehmlich; Marton Palatinszky; Julia Vierheilig; Alexandr Bulaev; Rasmus H Kirkegaard; Martin von Bergen; Thomas Rattei; Bernd Bendinger; Per H Nielsen; Michael Wagner
Journal:  Nature       Date:  2015-11-26       Impact factor: 49.962

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  1 in total

1.  Data-driven prediction and control of wastewater treatment process through the combination of convolutional neural network and recurrent neural network.

Authors:  Zhiwei Guo; Boxin Du; Jianhui Wang; Yu Shen; Qiao Li; Dong Feng; Xu Gao; Heng Wang
Journal:  RSC Adv       Date:  2020-04-01       Impact factor: 4.036

  1 in total

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