3D biofilm visualization and quantification on granular bioanodes with magnetic resonance imaging

被引:20
|
作者
Caizan-Juanarena, Leire [1 ]
Krug, Julia R. [2 ,3 ,4 ]
Vergeldt, Frank J. [3 ,4 ]
Kleijn, J. Mieke [5 ]
Velders, Aldrik H. [2 ,4 ]
Van As, Henk [3 ,4 ]
Ter Heijne, Annemiek [1 ]
机构
[1] Wageningen Univ & Res, Environm Technol, Bornse Weilanden 9, NL-6708 WG Wageningen, Netherlands
[2] Wageningen Univ & Res, Lab BioNanoTechnol, Bornse Weilanden 9, NL-6708 WG Wageningen, Netherlands
[3] Wageningen Univ & Res, Lab Biophys, Stippeneng 4, NL-6708 WE Wageningen, Netherlands
[4] Wageningen Univ & Res, MAGNEt Resonance Res Facil, Stippeneng 4, NL-6708 WE Wageningen, Netherlands
[5] Wageningen Univ & Res, Phys Chem & Soft Matter, Stippeneng 4, NL-6708 WE Wageningen, Netherlands
关键词
Microbial fuel cells; Activated carbon granules; Porous electrodes; Magnetic resonance imaging; Biofilm distribution; Biofilm volume; MICROBIAL FUEL-CELL; GEOBACTER-SULFURREDUCENS; ELECTRICITY PRODUCTION; WASTE-WATER; RESOURCE RECOVERY; DOUBLE-LAYER; TRANSPORT; PERFORMANCE; DIFFUSION; MICROSCOPY;
D O I
10.1016/j.watres.2019.115059
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The use of microbial fuel cells (MFCs) for wastewater treatment fits in a circular economy context, as they can produce electricity by the removal of organic matter in the wastewater. Activated carbon (AC) granules are an attractive electrode material for bioanodes in MFCs, as they are cheap and provide electroactive bacteria with a large surface area for attachment. The characterization of biofilm growth on AC granules, however, is challenging due to their high roughness and three-dimensional structure. In this research, we show that 3D magnetic resonance imaging (MRI) can be used to visualize biofilm distribution and determine its volume on irregular-shaped single AC granules in a non-destructive way, while being combined with electrochemical and biomass analyses. Ten AC granules with electroactive biofilm (i.e. granular bioanodes) were collected at different growth stages (3 to 21 days after microbial inoculation) from a multi-anode MFC and T-1-weighted 3D-MRI experiments were performed for three-dimensional biofilm visualization. With time, a more homogeneous biofilm distribution and an increased biofilm thickness could be observed in the 3D-MRI images. Biofilm volumes varied from 0.4 mu L (day 4) to 2 mu L (day 21) and were linearly correlated (R-2 = 0.9) to the total produced electric charge and total nitrogen content of the granular bioanodes, with values of 66.4 C mu L-1 and 17 mu g N mu L-1 , respectively. In future, in situ MRI measurements could be used to monitor biofilm growth and distribution on AC granules. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] 3D quantification visualization of vascular structures in magnetic resonance angiographic images
    Schaap, JA
    de Koning, PJH
    Janssen, JP
    Westenberg, JJM
    van der Geest, RJ
    Reiber, JHC
    COMPUTATIONAL SCIENCE-ICCS 2002, PT III, PROCEEDINGS, 2002, 2331 : 242 - 254
  • [2] Visualization of wrist ligaments with 3D and 2D magnetic resonance imaging at 3 Tesla
    Gotestrand, Simon
    Bjorkman, Anders
    Bjorkman-Burtscher, Isabella M.
    Ab-Fawaz, Rana
    Kristiansson, Ingvar
    Lundin, Bjorn
    Geijer, Mats
    ACTA RADIOLOGICA, 2022, 63 (03) : 368 - 375
  • [3] Visualization of the function of a biofilm reactor by magnetic resonance imaging
    Nott, KP
    Heese, FP
    Paterson-Beedle, M
    Macaskie, LE
    Hall, LD
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2005, 83 (01): : 68 - 72
  • [4] In vivo 3D muscle architecture quantification based on 3D freehand ultrasound and magnetic resonance imaging
    Wang, Zhongzheng
    Destro, Antea
    Petersson, Sven
    Cenni, Francesco
    Wang, Ruoli
    JOURNAL OF BIOMECHANICS, 2023, 152
  • [5] Sea urchin (Echinoidea) anatomy revealed by magnetic resonance imaging and 3D visualization
    Ziegler, A.
    Bartolomaeus, T.
    Mueller, S.
    ECHINODERMS: DURHAM, 2010, : 305 - 310
  • [6] Volumetric reconstruction from DICOM™ format in magnetic resonance imaging and 3D visualization
    Lopez Hernandez, Juan M.
    Velasquez Aguilar, J. Guadalupe
    Lara, Alvaro Zamudio
    MEP 2006: PROCEEDINGS OF MULTICONFERENCE ON ELECTRONICS AND PHOTONICS, 2006, : 163 - +
  • [7] 3D Reconstruction in Magnetic Resonance Imaging
    Mikulka, J.
    Bartusek, K.
    PIERS 2010 CAMBRIDGE: PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2, 2010, : 1043 - +
  • [8] The First Visualization of Acid Treatments on Carbonates With 3D Nuclear-Magnetic-Resonance Imaging
    Krebs, M.
    Lungwitz, B.
    Souza, A.
    Pepin, A.
    Montoya, S.
    Schlicht, P.
    Boyd, A.
    Vidoto, E.
    Polli, R.
    Bonagamba, T.
    SPE JOURNAL, 2015, 20 (04): : 678 - 688
  • [9] 3D quantification and visualization of MRA
    Schaap, JA
    de Koning, PJH
    van der Geest, RJ
    Reiber, JHC
    CARS 2001: COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2001, 1230 : 928 - 933
  • [10] Application of a fuzzy inference system to the quantification of 3D magnetic resonance imaging of breast tissue
    Carballido-Gamio, J
    Klifa, C
    Majumdar, S
    Hylton, N
    MEDICAL IMAGING 2004: IMAGE PROCESSING, PTS 1-3, 2004, 5370 : 1539 - 1547