New Tool To Monitor Biofilm Growth in Industrial Process Waters

Blanco, Ángeles; Herrera-Torres, Esperanza; Fuente, Elena; Negro, Carlos

doi:10.1021/ie101422m

Cited by 9 publications

(7 citation statements)

References 35 publications

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“…A bacterial biofilm is an organized community of microorganisms attached to a support material under submersion or in contact with water. 1 The presence of biofilm in an industrial system can be detrimental or beneficial. For example, in the water industry, the optimized reuse of water in closed loop water circuits was contaminated by circuit fouling due to formation of biofilm, deposits, and scale formations.…”

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confidence: 99%

A Fiber-Optic Sensor for Accurately Monitoring Biofilm Growth in a Hydrogen Production Photobioreactor

et al. 2014

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A new simple fiber-optic evanescent wave sensor was created to accurately monitor the growth and hydrogen production performance of biofilms. The proposed sensor consists of two probes (i.e., a sensor and reference probe), using the etched fibers with an appropriate surface roughness to improve its sensitivity. The sensor probe measures the biofilm growth and change of liquid-phase concentration inside the biofilm. The reference probe is coated with a hydrophilic polytetrafluoroethylene membrane to separate the liquids from photosynthetic bacteria Rhodopseudomonas palustris CQK 01 and to measure the liquid concentration. We also developed a model to demonstrate the accuracy of the measurement. The biofilm measurement was calibrated using an Olympus microscope. A linear relationship was obtained for the biofilm thickness range from 0 to 120 μm with a synthetic medium under continuous supply to the bioreactor. The highest level of hydrogen production rate occurred at a thickness of 115 μm.

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confidence: 99%

A Fiber-Optic Sensor for Accurately Monitoring Biofilm Growth in a Hydrogen Production Photobioreactor

et al. 2014

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“…In the frame of (bio) chemical engineering, biofilms grown in granular porous media (called biofilters) are widely used to treat domestic or industrial liquid effluents. The development of reliable models (Brovelli et al, 2009) to describe and manage such systems requires a good knowledge of the evolving biofilm microstructure at the pore scale (Devinny and Ramesh, 2005;Stoodley et al, 1994;Blanco et al, 2011). However, at the scale of a few pores, there exist very few reliable data on biofilm distribution and structural properties (Davit et al, 2011).…”

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confidence: 99%

Application of synchrotron X‐ray microtomography for visualizing bacterial biofilms 3D microstructure in porous media

Roscoat

Martins

Séchet

et al. 2013

Biotech & Bioengineering

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The development of reliable models to accurately predict biofilm growth in porous media relies on a good knowledge of the temporal evolution of biofilms structure within the porous network. Since little is known on the true 3D structure of biofilms developed in porous media, this work aimed at developing a new experimental protocol to visualize the 3D microstructure of bacterial biofilms in porous media. The main originality of the proposed procedure lies on the combination of the more recent advances in synchrotron microtomography (Paganin mode) and of a new contrast agent (1-chloronaphtalene) that has never been applied to biofilm visualization. It is shown that the proposed methodology takes advantage of the contrasting properties of 1-chloronaphtalene to prevent some limitations observed with more classical contrast agents. A quantitative analysis of the microstructural properties (volume fractions and specific surface area) of bacterial biofilms developed in columns of clay beads is also proposed on the basis of the obtained 3D images.

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“…The need to improve quality and efficiency, coupled with rapid advances in computer technology, has led to the development of machine vision systems for automatic inspection and process control. − Application of machine vision technology in mineral processing has attracted significant research efforts in the mineral engineering community and grown steadily over the last few decades. − Extraction of froth features through machine vision is an essential part of online control systems designed for the flotation process. Froth features yield important information for monitoring flotation parameters such as mineral concentrations and performance improvement. − Previously, research has focused on extraction of froth appearance characteristics, such as color, size, shape, etc.…”

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confidence: 99%

Froth Stereo Visual Feature Extraction for the Industrial Flotation Process

Zhao

Peng

Xie

et al. 2019

Ind. Eng. Chem. Res.

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Froth visual features are closely related to flotation performance, and accurate extraction of froth visual features through machine vision allows improved control and optimization of the flotation process. However, the conventional froth features extracted from single two-dimensional (2D) images are inadequate to fully characterize froth features due to the loss of depth information. In this paper, we present a new method of stereo visual feature extraction on single 2D images for significantly improving froth characterization. First, a froth-specific reconstruction approach is proposed to derive 3D representation of froth through a model of defocus blur and illumination. Then, the froth stereo features are extracted based on the 3D representation. The new 3D reconstruction approach is validated by the effect of recovered 3D scenes under different conditions. Compared to the conventional methods, the froth stereo features have less fluctuation and improved stability. Finally, recognition of stereofeature based working conditions is investigated for the industrial flotation process. Our results show that the froth stereo features can adequately characterize the data with respect to their separability, regardless of the classifier used.

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New Tool To Monitor Biofilm Growth in Industrial Process Waters

Cited by 9 publications

References 35 publications

A Fiber-Optic Sensor for Accurately Monitoring Biofilm Growth in a Hydrogen Production Photobioreactor

A Fiber-Optic Sensor for Accurately Monitoring Biofilm Growth in a Hydrogen Production Photobioreactor

Application of synchrotron X‐ray microtomography for visualizing bacterial biofilms 3D microstructure in porous media

Froth Stereo Visual Feature Extraction for the Industrial Flotation Process

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