X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons

The X-ray absorption (XRA) method using digital image processing techniques is a reliable technique to determine the exhaustion degree of granular activated carbons (GACs). Using an innovative digital image processing technique, the identification of individual adsorbed molecules or ions in a GAC wa...

Full description

Bibliographic Details
Main Authors: Jeamichel Puente Torres, Harold Crespo Sariol, Thayset Mariño Peacok, Jan Yperman, Peter Adriaensens, Robert Carleer, Ángel Brito Sauvanell
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/1/91
id doaj-407c1fe3aadc470090271138f8b3fc93
record_format Article
spelling doaj-407c1fe3aadc470090271138f8b3fc932020-12-29T00:01:42ZengMDPI AGMaterials1996-19442021-12-0114919110.3390/ma14010091X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated CarbonsJeamichel Puente Torres0Harold Crespo Sariol1Thayset Mariño Peacok2Jan Yperman3Peter Adriaensens4Robert Carleer5Ángel Brito Sauvanell6Faculty of Electrical Engineering, Universidad de Oriente, 90600 Santiago de Cuba, CubaFaculty of Chemical Engineering, Applied Acoustic Laboratory, Universidad de Oriente, 90600 Santiago de Cuba, CubaFaculty of Chemical Engineering, Applied Acoustic Laboratory, Universidad de Oriente, 90600 Santiago de Cuba, CubaFaculty of Sciences, Research group of Applied and Analytical Chemistry, Hasselt University, 3590 Diepenbeek, BelgiumFaculty of Sciences, Research group of Applied and Analytical Chemistry, Hasselt University, 3590 Diepenbeek, BelgiumFaculty of Sciences, Research group of Applied and Analytical Chemistry, Hasselt University, 3590 Diepenbeek, BelgiumFaculty of Chemical Engineering, Energetic Efficiency Center, Universidad de Oriente, 90600 Santiago de Cuba, CubaThe X-ray absorption (XRA) method using digital image processing techniques is a reliable technique to determine the exhaustion degree of granular activated carbons (GACs). Using an innovative digital image processing technique, the identification of individual adsorbed molecules or ions in a GAC was possible. Adsorption isotherm models (Langmuir and Freundlich) were used to simulate the adsorption equilibrium data of Methylene Blue (MB), nickel, cobalt and iodine. Freundlich equation was found to have the highest value of <i>R<sup>2</sup></i> compared with Langmuir. The identification of distinctive patterns applying XRA for different adsorbed ions and molecules onto GAC was explored. It is demonstrated that unique XRA configurations for each adsorbed ion or molecule are found, as well as a proportional relationship between its incident energy (needed to achieve maximum photon attenuation) and the (effective) atomic number, the adsorbate mass and the molar or atomic mass of adsorbed molecule or ion. XRA method in combination with image histogram modifications was used to obtain a digital signature of adsorbed ions/molecules, giving distinct <i>GSI</i> values for each one in the used energy range. Probabilistic models prove that XRA results are within relationships between effective atomic number and photonic interaction probability, reinforcing the potentialities of XRA for monitoring (multi-)ion and/or molecule combinations on GAC using advanced digital image processing techniques. It was proved that the proposed approach could assess different adsorbed ions/molecules onto GACs in water purification systems.https://www.mdpi.com/1996-1944/14/1/91activated carbonX-ray absorptiondigital image processingadsorption
collection DOAJ
language English
format Article
sources DOAJ
author Jeamichel Puente Torres
Harold Crespo Sariol
Thayset Mariño Peacok
Jan Yperman
Peter Adriaensens
Robert Carleer
Ángel Brito Sauvanell
spellingShingle Jeamichel Puente Torres
Harold Crespo Sariol
Thayset Mariño Peacok
Jan Yperman
Peter Adriaensens
Robert Carleer
Ángel Brito Sauvanell
X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons
Materials
activated carbon
X-ray absorption
digital image processing
adsorption
author_facet Jeamichel Puente Torres
Harold Crespo Sariol
Thayset Mariño Peacok
Jan Yperman
Peter Adriaensens
Robert Carleer
Ángel Brito Sauvanell
author_sort Jeamichel Puente Torres
title X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons
title_short X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons
title_full X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons
title_fullStr X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons
title_full_unstemmed X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons
title_sort x-ray absorption (xra): a new technique for the characterization of granular activated carbons
publisher MDPI AG
series Materials
issn 1996-1944
publishDate 2021-12-01
description The X-ray absorption (XRA) method using digital image processing techniques is a reliable technique to determine the exhaustion degree of granular activated carbons (GACs). Using an innovative digital image processing technique, the identification of individual adsorbed molecules or ions in a GAC was possible. Adsorption isotherm models (Langmuir and Freundlich) were used to simulate the adsorption equilibrium data of Methylene Blue (MB), nickel, cobalt and iodine. Freundlich equation was found to have the highest value of <i>R<sup>2</sup></i> compared with Langmuir. The identification of distinctive patterns applying XRA for different adsorbed ions and molecules onto GAC was explored. It is demonstrated that unique XRA configurations for each adsorbed ion or molecule are found, as well as a proportional relationship between its incident energy (needed to achieve maximum photon attenuation) and the (effective) atomic number, the adsorbate mass and the molar or atomic mass of adsorbed molecule or ion. XRA method in combination with image histogram modifications was used to obtain a digital signature of adsorbed ions/molecules, giving distinct <i>GSI</i> values for each one in the used energy range. Probabilistic models prove that XRA results are within relationships between effective atomic number and photonic interaction probability, reinforcing the potentialities of XRA for monitoring (multi-)ion and/or molecule combinations on GAC using advanced digital image processing techniques. It was proved that the proposed approach could assess different adsorbed ions/molecules onto GACs in water purification systems.
topic activated carbon
X-ray absorption
digital image processing
adsorption
url https://www.mdpi.com/1996-1944/14/1/91
work_keys_str_mv AT jeamichelpuentetorres xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
AT haroldcresposariol xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
AT thaysetmarinopeacok xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
AT janyperman xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
AT peteradriaensens xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
AT robertcarleer xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
AT angelbritosauvanell xrayabsorptionxraanewtechniqueforthecharacterizationofgranularactivatedcarbons
_version_ 1724368147433127936