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Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter

Surgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and according to the normative requirements is not a trivial task. This study aims to...

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Autores principales: Boehler, Lukas, Daniol, Mateusz, Sroka, Ryszard, Osinski, Dominik, Keller, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828345/
https://www.ncbi.nlm.nih.gov/pubmed/33450855
http://dx.doi.org/10.3390/s21020510
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author Boehler, Lukas
Daniol, Mateusz
Sroka, Ryszard
Osinski, Dominik
Keller, Anton
author_facet Boehler, Lukas
Daniol, Mateusz
Sroka, Ryszard
Osinski, Dominik
Keller, Anton
author_sort Boehler, Lukas
collection PubMed
description Surgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and according to the normative requirements is not a trivial task. This study aims to develop a sensor system that can automatically detect successful steam sterilization on the basis of the measured temperature profiles. This can be achieved only when the relationship between the temperature on the surface of the tool and the temperature at the measurement point inside the tool is known. To find this relationship, the thermodynamic model of the system has been developed. Simulated results of thermal simulations were compared with the acquired temperature profiles to verify the correctness of the model. Simulated temperature profiles are in accordance with the measured temperature profiles, thus the developed model can be used in the process of further development of the system as well as for the development of algorithms for automated evaluation of the sterilization process. Although the developed sensor system proved that the detection of sterilization cycles can be automated, further studies that address the possibility of optimization of the system in terms of geometrical dimensions, used materials, and processing algorithms will be of significant importance for the potential commercialization of the presented solution.
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spelling pubmed-78283452021-01-25 Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter Boehler, Lukas Daniol, Mateusz Sroka, Ryszard Osinski, Dominik Keller, Anton Sensors (Basel) Article Surgical procedures involve major risks, as pathogens can enter the body unhindered. To prevent this, most surgical instruments and implants are sterilized. However, ensuring that this process is carried out safely and according to the normative requirements is not a trivial task. This study aims to develop a sensor system that can automatically detect successful steam sterilization on the basis of the measured temperature profiles. This can be achieved only when the relationship between the temperature on the surface of the tool and the temperature at the measurement point inside the tool is known. To find this relationship, the thermodynamic model of the system has been developed. Simulated results of thermal simulations were compared with the acquired temperature profiles to verify the correctness of the model. Simulated temperature profiles are in accordance with the measured temperature profiles, thus the developed model can be used in the process of further development of the system as well as for the development of algorithms for automated evaluation of the sterilization process. Although the developed sensor system proved that the detection of sterilization cycles can be automated, further studies that address the possibility of optimization of the system in terms of geometrical dimensions, used materials, and processing algorithms will be of significant importance for the potential commercialization of the presented solution. MDPI 2021-01-13 /pmc/articles/PMC7828345/ /pubmed/33450855 http://dx.doi.org/10.3390/s21020510 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Boehler, Lukas
Daniol, Mateusz
Sroka, Ryszard
Osinski, Dominik
Keller, Anton
Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
title Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
title_full Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
title_fullStr Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
title_full_unstemmed Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
title_short Sensors in the Autoclave-Modelling and Implementation of the IoT Steam Sterilization Procedure Counter
title_sort sensors in the autoclave-modelling and implementation of the iot steam sterilization procedure counter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828345/
https://www.ncbi.nlm.nih.gov/pubmed/33450855
http://dx.doi.org/10.3390/s21020510
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