Oxygen transport in nanoporous SiN membrane compared to PDMS and polypropylene for microfluidic ECMO.

IF 3.3 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Nayeem Imtiaz, William A Stoddard, Abdelrahman Ghazy, Steven W Day
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Abstract

Extracorporeal Membrane Oxygenation (ECMO) serves as a crucial intervention for patients with severe pulmonary dysfunction by facilitating oxygenation and carbon dioxide removal. While traditional ECMO systems are effective, their large priming volumes and significant blood-contacting surface areas can lead to complications, particularly in neonates and pediatric patients. Microfluidic ECMO systems offer a promising alternative by miniaturizing the ECMO technology, reducing blood volume requirements, and minimizing device surface area to improve safety and efficiency. This study investigates the oxygen transport performance of three membrane types- polydimethylsiloxane (PDMS), polypropylene, and a novel nanoporous silicon nitride (NPSiN) membrane-in a microfluidic ECMO platform. While nanoporous membranes rely on pore-mediated diffusion and PDMS on polymer lattice diffusion, results show no significant differences in device oxygenation efficiency (p > 0.05). Blood-side factors, including the diffusion rate of oxygen through the red blood cell (RBC) membrane, RBC residence time, and hemoglobin binding kinetics, were identified as primary bottlenecks. Even computational models of a hypothetical infinitely permeable membrane corroborate the limited impact of membrane material. These findings suggest a shift in ECMO design priorities from membrane material to blood-side enhancements. This research provides a foundation for optimizing ECMO systems.

微流控ECMO中氧在纳米孔SiN膜中的传输与PDMS和聚丙烯膜的比较。
体外膜氧合(Extracorporeal Membrane Oxygenation, ECMO)通过促进氧合和二氧化碳的清除,是严重肺功能障碍患者的重要干预手段。虽然传统的ECMO系统是有效的,但其大的启动体积和显著的血液接触表面积可能导致并发症,特别是在新生儿和儿科患者中。微流控ECMO系统通过微型化ECMO技术、减少血容量要求和最小化设备表面积来提高安全性和效率,提供了一个有前途的替代方案。本研究研究了三种膜类型-聚二甲基硅氧烷(PDMS),聚丙烯和新型纳米多孔氮化硅(NPSiN)膜-在微流控ECMO平台中的氧传输性能。纳米孔膜依赖于孔介导扩散,PDMS依赖于聚合物晶格扩散,结果显示器件氧合效率无显著差异(p > 0.05)。血液方面的因素,包括氧气通过红细胞(RBC)膜的扩散速率、红细胞停留时间和血红蛋白结合动力学,被认为是主要的瓶颈。甚至一个假设的无限渗透膜的计算模型也证实了膜材料的有限影响。这些发现表明ECMO设计的重点从膜材料转向血侧增强。本研究为优化ECMO系统提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomedical Microdevices
Biomedical Microdevices 工程技术-工程:生物医学
CiteScore
6.90
自引率
3.60%
发文量
32
审稿时长
6 months
期刊介绍: Biomedical Microdevices: BioMEMS and Biomedical Nanotechnology is an interdisciplinary periodical devoted to all aspects of research in the medical diagnostic and therapeutic applications of Micro-Electro-Mechanical Systems (BioMEMS) and nanotechnology for medicine and biology. General subjects of interest include the design, characterization, testing, modeling and clinical validation of microfabricated systems, and their integration on-chip and in larger functional units. The specific interests of the Journal include systems for neural stimulation and recording, bioseparation technologies such as nanofilters and electrophoretic equipment, miniaturized analytic and DNA identification systems, biosensors, and micro/nanotechnologies for cell and tissue research, tissue engineering, cell transplantation, and the controlled release of drugs and biological molecules. Contributions reporting on fundamental and applied investigations of the material science, biochemistry, and physics of biomedical microdevices and nanotechnology are encouraged. A non-exhaustive list of fields of interest includes: nanoparticle synthesis, characterization, and validation of therapeutic or imaging efficacy in animal models; biocompatibility; biochemical modification of microfabricated devices, with reference to non-specific protein adsorption, and the active immobilization and patterning of proteins on micro/nanofabricated surfaces; the dynamics of fluids in micro-and-nano-fabricated channels; the electromechanical and structural response of micro/nanofabricated systems; the interactions of microdevices with cells and tissues, including biocompatibility and biodegradation studies; variations in the characteristics of the systems as a function of the micro/nanofabrication parameters.
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