Visualizing, quantifying, and controlling local hydrodynamic effects on biofilm accumulation in complex flow paths

J Hazard Mater. 2021 Aug 15:416:125937. doi: 10.1016/j.jhazmat.2021.125937. Epub 2021 Apr 28.

Abstract

Complex flow paths (CFPs) are commonly applied in precision equipment to accurately supply controllable fluids with designed structures. However, the presence of biofilms in CFPs causes quite a few unwanted issues, such as bio-erosion, clogging, or even health risks. To date, visualizing and quantifying the interaction between biofilm distribution and local hydrodynamics remains difficult, and the mechanism during the process is unclear. In this paper, the remodeling simulation method (3D industrial computed tomography scanning-inverse modeling-numerical simulation) and 16S rRNA high-throughput sequencing were integrated. The results indicated that local hydrodynamic characteristics significantly affected biofilm thicknesses on CFP surfaces (relative differences of 41.3-71.2%), which inversely influenced the local turbulence intensity. The average biofilm thicknesses exhibited a significant quadratic correlation with the near-wall hydraulic shear forces (r > 0.72, p < 0.05), and the biofilm reached a maximum thickness at 0.36-0.45 Pa. On the other hand, the near-wall hydraulic shear forces not only affected microbial community characteristics of biofilms, but they also influenced the number of microorganisms involved, which determined the biofilm accumulation thereafter. The PHYLUM Firmicutes and Proteobacteria were the dominant bacteria during the process. The results obtained in this paper could provide practical conceptions for the targeted control of biofilms and put forward more efficient controlling methods in commonly applied CFP systems.

Keywords: Biofilm accumulation; Complex flow path; Controlling conceptions; Hydraulic shear force; Microorganism community.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biofilms
  • Computer Simulation
  • Hydrodynamics*
  • Microbiota*
  • RNA, Ribosomal, 16S / genetics

Substances

  • RNA, Ribosomal, 16S