Department of Surgery (Surgical Laboratory), Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Ann Biomed Eng. 2012 Dec;40(12):2698-707. doi: 10.1007/s10439-012-0601-9. Epub 2012 Jun 6.
Intra-organ flow is the most critical parameter in machine-perfused organ preservation systems (MPS). Ultrasonic flow sensors (UFS) are commonly employed in MPS. However, UFS are sensitive to changes in fluid composition and temperature and require recalibration. Novel Coriolis-type mass flow sensors (CFS) may be more suitable for MPS because the measurement technique is not amenable to these factors. The effect of viscosity, colloids, temperature, pressure, and preservation solution on flow measurement accuracy of UFS and CFS was therefore investigated. A CFS-based MPS was built and validated for setpoint stability using porcine kidneys and the ability to reproduce different pressure and flow waveforms. The UFS exhibited a temperature- and preservation solution-dependent overestimation of flow rate compared to the CFS. The CFS deviated minimally from the actual flow rate and did not require recalibration. The CFS-based MPS conformed to the preprogrammed temperature, flow, pressure, and vascular resistance settings during 6-h kidney preservation. The system was also able to accurately reproduce different pressure and flow waveforms. Conclusively, CFS-based MPS are more suitable for organ preservation than UFS-based MPS. Our CFS-based MPS provides a versatile yet robust experimental platform for testing and validating different types of clinical and experimental MPS.
器官内的流动是机器灌注器官保存系统（MPS）中最关键的参数。超声流量传感器（UFS）常用于 MPS。然而，UFS 对流体成分和温度的变化敏感，需要重新校准。新型科里奥利质量流量传感器（CFS）可能更适合 MPS，因为测量技术不受这些因素的影响。因此，研究了粘度、胶体、温度、压力和保存液对 UFS 和 CFS 流量测量精度的影响。建立了基于 CFS 的 MPS，并使用猪肾验证了其设定点稳定性以及重现不同压力和流量波形的能力。与 CFS 相比，UFS 表现出对流量的温度和保存液依赖性高估。CFS 与实际流量偏差最小，无需重新校准。基于 CFS 的 MPS 在 6 小时的肾脏保存过程中符合预编程的温度、流量、压力和血管阻力设置。该系统还能够准确地重现不同的压力和流量波形。总之，基于 CFS 的 MPS 比基于 UFS 的 MPS 更适合器官保存。我们的基于 CFS 的 MPS 为测试和验证不同类型的临床和实验 MPS 提供了一个通用且强大的实验平台。
