Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge

An important physical property in environmental samples is particle size distribution. Several processes exist to measure particle diameter, including change in electrical resistance, blocking of light, the fractionation of field flow and laser diffraction (these being the most commonly used). Howev...

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Autores principales:	S. Cazares, J. A. Barrios, C. Maya, G. Velásquez, M. Pérez, B. Jiménez, A. Román
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	electro-oxidation equivalent diameter image processing laser diffraction particle size waste activated sludge Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/0bcf980b677e4d9da1e8127b5fc2397d
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spelling	oai:doaj.org-article:0bcf980b677e4d9da1e8127b5fc2397d2021-11-06T11:05:30ZDigital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge0273-12231996-973210.2166/wst.2021.102https://doaj.org/article/0bcf980b677e4d9da1e8127b5fc2397d2021-05-01T00:00:00Zhttp://wst.iwaponline.com/content/83/10/2437https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732An important physical property in environmental samples is particle size distribution. Several processes exist to measure particle diameter, including change in electrical resistance, blocking of light, the fractionation of field flow and laser diffraction (these being the most commonly used). However, their use requires expensive and complex equipment. Therefore, a digital microscopic imaging application (DMIA) method was developed adapting the algorithms used in the helminth egg automatic detector software coupled with a neural network (NN) and Bayesian algorithms. This allowed the determination of particle size distribution in samples of waste activated sludge (WAS), recirculated sludge (RCS), and pre-treated sludge (PTS). The recirculation and electro-oxidation pre-treatment processes showed an effect in increasing the degree of solubilization, decreasing particle size and breakage factor with ranges between 44.29%, and 31.89%. Together with a final NN calibration process, it was possible to compare results. For example, the 90th percentile of equivalent diameter value obtained by the DMIA with the corresponding result for the laser diffraction method. DMIA values: 228.76 μm (WAS), 111.18 μm (RCS), and 84.45 μm (PTS). DMIA processing has advantages in terms of reducing complexity, cost and time, and offers an alternative to the laser diffraction method. HIGHLIGHTS Adaptation of HEAD software algorithms, image processing techniques, and neural network fitting, allowed the evaluation of the particle size distribution.; Electro-oxidation pre-treatment improves the subsequent anaerobic digestion process.; Larger sludge particles are the most affected by the electro-oxidation process.;S. CazaresJ. A. BarriosC. MayaG. VelásquezM. PérezB. JiménezA. RománIWA Publishingarticleelectro-oxidationequivalent diameterimage processinglaser diffractionparticle sizewaste activated sludgeEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 83, Iss 10, Pp 2437-2451 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	electro-oxidation equivalent diameter image processing laser diffraction particle size waste activated sludge Environmental technology. Sanitary engineering TD1-1066
spellingShingle	electro-oxidation equivalent diameter image processing laser diffraction particle size waste activated sludge Environmental technology. Sanitary engineering TD1-1066 S. Cazares J. A. Barrios C. Maya G. Velásquez M. Pérez B. Jiménez A. Román Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge
description	An important physical property in environmental samples is particle size distribution. Several processes exist to measure particle diameter, including change in electrical resistance, blocking of light, the fractionation of field flow and laser diffraction (these being the most commonly used). However, their use requires expensive and complex equipment. Therefore, a digital microscopic imaging application (DMIA) method was developed adapting the algorithms used in the helminth egg automatic detector software coupled with a neural network (NN) and Bayesian algorithms. This allowed the determination of particle size distribution in samples of waste activated sludge (WAS), recirculated sludge (RCS), and pre-treated sludge (PTS). The recirculation and electro-oxidation pre-treatment processes showed an effect in increasing the degree of solubilization, decreasing particle size and breakage factor with ranges between 44.29%, and 31.89%. Together with a final NN calibration process, it was possible to compare results. For example, the 90th percentile of equivalent diameter value obtained by the DMIA with the corresponding result for the laser diffraction method. DMIA values: 228.76 μm (WAS), 111.18 μm (RCS), and 84.45 μm (PTS). DMIA processing has advantages in terms of reducing complexity, cost and time, and offers an alternative to the laser diffraction method. HIGHLIGHTS Adaptation of HEAD software algorithms, image processing techniques, and neural network fitting, allowed the evaluation of the particle size distribution.; Electro-oxidation pre-treatment improves the subsequent anaerobic digestion process.; Larger sludge particles are the most affected by the electro-oxidation process.;
format	article
author	S. Cazares J. A. Barrios C. Maya G. Velásquez M. Pérez B. Jiménez A. Román
author_facet	S. Cazares J. A. Barrios C. Maya G. Velásquez M. Pérez B. Jiménez A. Román
author_sort	S. Cazares
title	Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge
title_short	Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge
title_full	Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge
title_fullStr	Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge
title_full_unstemmed	Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge
title_sort	digital microscopic image application (dmia), an automatic method for particle size distribution analysis in waste activated sludge
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/0bcf980b677e4d9da1e8127b5fc2397d
work_keys_str_mv	AT scazares digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge AT jabarrios digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge AT cmaya digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge AT gvelasquez digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge AT mperez digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge AT bjimenez digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge AT aroman digitalmicroscopicimageapplicationdmiaanautomaticmethodforparticlesizedistributionanalysisinwasteactivatedsludge
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Digital microscopic image application (DMIA), an automatic method for particle size distribution analysis in waste activated sludge

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