Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments

Crystallization is a significant procedure in the manufacturing of many pharmaceutical and solid food products. In-situ electrical resistance tomography (ERT) is a novel process analytical tool (PAT) to provide a cheap and quick way to test, visualize, and evaluate the progress of crystallization pr...

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Main Authors: Guruprasad Rao, Muhammad Awais Sattar, Radosław Wajman, Lidia Jackowska-Strumiłło
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/2/564
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author Guruprasad Rao
Muhammad Awais Sattar
Radosław Wajman
Lidia Jackowska-Strumiłło
author_facet Guruprasad Rao
Muhammad Awais Sattar
Radosław Wajman
Lidia Jackowska-Strumiłło
author_sort Guruprasad Rao
collection DOAJ
description Crystallization is a significant procedure in the manufacturing of many pharmaceutical and solid food products. In-situ electrical resistance tomography (ERT) is a novel process analytical tool (PAT) to provide a cheap and quick way to test, visualize, and evaluate the progress of crystallization processes. In this work, the spatial accuracy of the nonconductive phantoms in low-conductivity solutions was evaluated. Gauss–Newton, linear back projection, and iterative total variation reconstruction algorithms were used to compare the phantom reconstructions for tap water, industrial-grade saturated sucrose solution, and demineralized water. A cylindrical phantom measuring 10 mm in diameter and a cross-section area of 1.5% of the total beaker area was detected at the center of the beaker. Two phantoms with a 10-mm diameter were visualized separately in noncentral locations. The quantitative evaluations were done for the phantoms with radii ranging from 10 mm to 50 mm in demineralized water. Multiple factors, such as ERT device and sensor development, Finite Element Model (FEM) mesh density and simulations, image reconstruction algorithms, number of iterations, segmentation methods, and morphological image processing methods, were discussed and analyzed to achieve spatial accuracy. The development of ERT imaging modality for the purpose of monitoring crystallization in low-conductivity solutions was performed satisfactorily.
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spelling doaj.art-33b489b15e974c2d864f018ec73192cb2023-12-03T13:17:03ZengMDPI AGSensors1424-82202021-01-0121256410.3390/s21020564Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate AssessmentsGuruprasad Rao0Muhammad Awais Sattar1Radosław Wajman2Lidia Jackowska-Strumiłło3Institute of Applied Computer Sciences, Lodz University of Technology, 90-924 Lodz, PolandInstitute of Applied Computer Sciences, Lodz University of Technology, 90-924 Lodz, PolandInstitute of Applied Computer Sciences, Lodz University of Technology, 90-924 Lodz, PolandInstitute of Applied Computer Sciences, Lodz University of Technology, 90-924 Lodz, PolandCrystallization is a significant procedure in the manufacturing of many pharmaceutical and solid food products. In-situ electrical resistance tomography (ERT) is a novel process analytical tool (PAT) to provide a cheap and quick way to test, visualize, and evaluate the progress of crystallization processes. In this work, the spatial accuracy of the nonconductive phantoms in low-conductivity solutions was evaluated. Gauss–Newton, linear back projection, and iterative total variation reconstruction algorithms were used to compare the phantom reconstructions for tap water, industrial-grade saturated sucrose solution, and demineralized water. A cylindrical phantom measuring 10 mm in diameter and a cross-section area of 1.5% of the total beaker area was detected at the center of the beaker. Two phantoms with a 10-mm diameter were visualized separately in noncentral locations. The quantitative evaluations were done for the phantoms with radii ranging from 10 mm to 50 mm in demineralized water. Multiple factors, such as ERT device and sensor development, Finite Element Model (FEM) mesh density and simulations, image reconstruction algorithms, number of iterations, segmentation methods, and morphological image processing methods, were discussed and analyzed to achieve spatial accuracy. The development of ERT imaging modality for the purpose of monitoring crystallization in low-conductivity solutions was performed satisfactorily.https://www.mdpi.com/1424-8220/21/2/5642D electrical resistance tomographylow-conductivity solutionscrystallizationinverse imaging
spellingShingle Guruprasad Rao
Muhammad Awais Sattar
Radosław Wajman
Lidia Jackowska-Strumiłło
Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments
Sensors
2D electrical resistance tomography
low-conductivity solutions
crystallization
inverse imaging
title Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments
title_full Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments
title_fullStr Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments
title_full_unstemmed Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments
title_short Quantitative Evaluations with 2d Electrical Resistance Tomography in the Low-Conductivity Solutions Using 3d-Printed Phantoms and Sucrose Crystal Agglomerate Assessments
title_sort quantitative evaluations with 2d electrical resistance tomography in the low conductivity solutions using 3d printed phantoms and sucrose crystal agglomerate assessments
topic 2D electrical resistance tomography
low-conductivity solutions
crystallization
inverse imaging
url https://www.mdpi.com/1424-8220/21/2/564
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