Dissolved oxygen (DO) is deeply involved in preserving the life of cellular tissues and human beings due to its key role in cellular metabolism: its alterations may reflect important pathophysiological conditions. DO levels are measured to identify pathological conditions, explain pathophysiological mechanisms, and monitor the efficacy of therapeutic approaches. This is particularly relevant when the measurements are performed in vivo but also in contexts where a variety of biological and synthetic media are used, such as ex vivo organ perfusion. A reliable measurement of medium oxygenation ensures a high-quality process. It is crucial to provide a high-accuracy, real-time method for DO quantification, which could be robust towards different medium compositions and temperatures. In fact, biological fluids and synthetic clinical fluids represent a challenging environment where DO interacts with various compounds and can change continuously and dynamically, and further precaution is needed to obtain reliable results. This study aims to present and discuss the main oxygen detection and quantification methods, focusing on the technical needs for their translation to clinical practice. Firstly, we resumed all the main methodologies and advancements concerning dissolved oxygen determination. After identifying the main groups of all the available techniques for DO sensing based on their mechanisms and applicability, we focused on transferring the most promising approaches to a clinical in vivo/ex vivo setting

The Challenges of O2 Detection in Biological Fluids: Classical Methods and Translation to Clinical Applications / Marassi, Valentina; Giordani, Stefano; Kurevija, Andjela; Panetta, Emilio; Roda, Barbara; Zhang, Nan; Azzolini, Andrea; Dolzani, Sara; Manko, Dmytro; Reschiglian, Pierluigi; Atti, Mauro; Zattoni, Andrea. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 23:24(2022), pp. 15971.1-15971.28. [10.3390/ijms232415971]

The Challenges of O2 Detection in Biological Fluids: Classical Methods and Translation to Clinical Applications

Marassi, Valentina
Primo
;
Giordani, Stefano;Roda, Barbara;Zhang, Nan;Azzolini, Andrea;Reschiglian, Pierluigi;Zattoni, Andrea
2022

Abstract

Dissolved oxygen (DO) is deeply involved in preserving the life of cellular tissues and human beings due to its key role in cellular metabolism: its alterations may reflect important pathophysiological conditions. DO levels are measured to identify pathological conditions, explain pathophysiological mechanisms, and monitor the efficacy of therapeutic approaches. This is particularly relevant when the measurements are performed in vivo but also in contexts where a variety of biological and synthetic media are used, such as ex vivo organ perfusion. A reliable measurement of medium oxygenation ensures a high-quality process. It is crucial to provide a high-accuracy, real-time method for DO quantification, which could be robust towards different medium compositions and temperatures. In fact, biological fluids and synthetic clinical fluids represent a challenging environment where DO interacts with various compounds and can change continuously and dynamically, and further precaution is needed to obtain reliable results. This study aims to present and discuss the main oxygen detection and quantification methods, focusing on the technical needs for their translation to clinical practice. Firstly, we resumed all the main methodologies and advancements concerning dissolved oxygen determination. After identifying the main groups of all the available techniques for DO sensing based on their mechanisms and applicability, we focused on transferring the most promising approaches to a clinical in vivo/ex vivo setting
2022
The Challenges of O2 Detection in Biological Fluids: Classical Methods and Translation to Clinical Applications / Marassi, Valentina; Giordani, Stefano; Kurevija, Andjela; Panetta, Emilio; Roda, Barbara; Zhang, Nan; Azzolini, Andrea; Dolzani, Sara; Manko, Dmytro; Reschiglian, Pierluigi; Atti, Mauro; Zattoni, Andrea. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 23:24(2022), pp. 15971.1-15971.28. [10.3390/ijms232415971]
Marassi, Valentina; Giordani, Stefano; Kurevija, Andjela; Panetta, Emilio; Roda, Barbara; Zhang, Nan; Azzolini, Andrea; Dolzani, Sara; Manko, Dmytro; Reschiglian, Pierluigi; Atti, Mauro; Zattoni, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/910102
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