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Imtiaz N, Poskus MD, Stoddard WA, Gaborski TR, Day SW. Empirical and Computational Evaluation of Hemolysis in a Microfluidic Extracorporeal Membrane Oxygenator Prototype. MICROMACHINES 2024; 15:790. [PMID: 38930760 PMCID: PMC11205701 DOI: 10.3390/mi15060790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/07/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024]
Abstract
Microfluidic devices promise to overcome the limitations of conventional hemodialysis and oxygenation technologies by incorporating novel membranes with ultra-high permeability into portable devices with low blood volume. However, the characteristically small dimensions of these devices contribute to both non-physiologic shear that could damage blood components and laminar flow that inhibits transport. While many studies have been performed to empirically and computationally study hemolysis in medical devices, such as valves and blood pumps, little is known about blood damage in microfluidic devices. In this study, four variants of a representative microfluidic membrane-based oxygenator and two controls (positive and negative) are introduced, and computational models are used to predict hemolysis. The simulations were performed in ANSYS Fluent for nine shear stress-based parameter sets for the power law hemolysis model. We found that three of the nine tested parameters overpredict (5 to 10×) hemolysis compared to empirical experiments. However, three parameter sets demonstrated higher predictive accuracy for hemolysis values in devices characterized by low shear conditions, while another three parameter sets exhibited better performance for devices operating under higher shear conditions. Empirical testing of the devices in a recirculating loop revealed levels of hemolysis significantly lower (<2 ppm) than the hemolysis ranges observed in conventional oxygenators (>10 ppm). Evaluating the model's ability to predict hemolysis across diverse shearing conditions, both through empirical experiments and computational validation, will provide valuable insights for future micro ECMO device development by directly relating geometric and shear stress with hemolysis levels. We propose that, with an informed selection of hemolysis parameters based on the shear ranges of the test device, computational modeling can complement empirical testing in the development of novel high-flow blood-contacting microfluidic devices, allowing for a more efficient iterative design process. Furthermore, the low device-induced hemolysis measured in our study at physiologically relevant flow rates is promising for the future development of microfluidic oxygenators and dialyzers.
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Affiliation(s)
- Nayeem Imtiaz
- Rochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA; (N.I.); (W.A.S.); (T.R.G.)
| | - Matthew D. Poskus
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA;
| | - William A. Stoddard
- Rochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA; (N.I.); (W.A.S.); (T.R.G.)
| | - Thomas R. Gaborski
- Rochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA; (N.I.); (W.A.S.); (T.R.G.)
| | - Steven W. Day
- Rochester Institute of Technology, Kate Gleason College of Engineering, Rochester, NY 14623, USA; (N.I.); (W.A.S.); (T.R.G.)
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Fleck E, Keck C, Ryszka K, Zhang A, Atie M, Maddox S, Potkay J. Toward 3D printed microfluidic artificial lungs for respiratory support. LAB ON A CHIP 2024; 24:955-965. [PMID: 38275173 PMCID: PMC10863644 DOI: 10.1039/d3lc00814b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/10/2024] [Indexed: 01/27/2024]
Abstract
Microfluidic artificial lungs (μALs) are a new class of membrane oxygenators. Compared to traditional hollow-fiber oxygenators, μALs closely mimic the alveolar microenvironment due to their size-scale and promise improved gas exchange efficiency, hemocompatibility, biomimetic blood flow networks, and physiologically relevant blood vessel pressures and shear stresses. Clinical translation of μALs has been stalled by restrictive microfabrication techniques that limit potential artificial lung geometries, overall device size, and throughput. To address these limitations, a high-resolution Asiga MAX X27 UV digital light processing (DLP) 3D printer and custom photopolymerizable polydimethylsiloxane (PDMS) resin were used to rapidly manufacture small-scale μALs via vat photopolymerization (VPP). Devices were designed in SOLIDWORKS with 500 blood channels and 252 gas channels, where gas and blood flow channels were oriented orthogonally and separated by membranes on the top and bottom, permitting two-sided gas exchange. Successful devices were post-processed to remove uncured resin from microchannels and assembled with external tubing in preparation for gas exchange performance testing with ovine whole blood. 3D printed channel dimensions were 172 μm-tall × 320 μm-wide, with 62 μm-thick membranes and 124 μm-wide support columns. Measured outlet blood oxygen saturation (SO2) agreed with theoretical models and rated flow of the device was 1 mL min-1. Blood side pressure drop was 1.58 mmHg at rated flow. This work presents the highest density of 3D printed microchannels in a single device, one of the highest CO2 transfer efficiencies of any artificial lung to date, and a promising approach to translate μALs one step closer to the clinic.
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Affiliation(s)
- Elyse Fleck
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Charlise Keck
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Karolina Ryszka
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Andrew Zhang
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Michael Atie
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Sydney Maddox
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Joseph Potkay
- ECLS Laboratory, Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
- VA Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
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