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Testing and Validation of Reciprocating Positive Displacement Pump for Benchtop Pulsating Flow Model of Cerebrospinal Fluid Production and Other Physiologic Systems

View ORCID ProfileAhmad Faryami, Adam Menkara, Daniel Viar, View ORCID ProfileCarolyn A Harris
doi: https://doi.org/10.1101/2021.12.26.474197
Ahmad Faryami
1Department of Biomedical Engineering, Wayne State University, Detroit, MI 48202
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Adam Menkara
1Department of Biomedical Engineering, Wayne State University, Detroit, MI 48202
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Daniel Viar
2Department of Computer Science and Engineering, University of Toledo, Toledo, Ohio, 43606
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Carolyn A Harris
3Wayne State University Dept. of Chemical Engineering and Materials Science, 6135 Woodward Avenue, Rm 3120, Detroit, MI 48202
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  • For correspondence: caharris@wayne.edu
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Abstract

Background The flow of physiologic fluids through organs and organs systems is an integral component of their function. The complex fluid dynamics in many organ systems are still not completely understood, and in-vivo measurements of flow rates and pressure provide a testament to the complexity of each flow system. Variability in in-vivo measurements and the lack of control over flow characteristics leave a lot to be desired for testing and evaluation of current modes of treatments as well as future innovations. In-vitro models are particularly ideal for studying neurological conditions such as hydrocephalus due to their complex pathophysiology and interactions with therapeutic measures. The following aims to present the reciprocating positive displacement pump, capable of inducing pulsating flow of a defined volume at a controlled beat rate and amplitude. While the other fluidic applications of the pump are currently under investigation, this study was focused on simulating the pulsating cerebrospinal fluid production across profiles with varying parameters.

Methods Pumps were manufactured using 3D printed and injection molded parts. The pumps were powered by an Arduino-based board and proprietary software that controls the linear motion of the pumps to achieve the specified output rate at the desired pulsation rate and amplitude. A range of Embedded Image to Embedded Image was tested to evaluate the versatility of the pumps. The accuracy and precision of the pumps’ output were evaluated by obtaining a total of 150 one-minute weight measurements of degassed deionized water per output rate across 15 pump channels. In addition, nine experiments were performed to evaluate the pumps’ control over pulsation rate and amplitude.

Results volumetric analysis of a total of 1200 readings determined that the pumps achieved the target output volume rate with a mean absolute error of -0.001034283 Embedded Image across the specified domain. It was also determined that the pumps can maintain pulsatile flow at a user-specified beat rate and amplitude.

Conclusion The validation of this reciprocating positive displacement pump system allows for the future validation of novel designs to components used to treat hydrocephalus and other physiologic models involving pulsatile flow. Based on the promising results of these experiments at simulating pulsatile CSF flow, a benchtop model of human CSF production and distribution could be achieved through the incorporation of a chamber system and a compliance component.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted December 26, 2021.
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Testing and Validation of Reciprocating Positive Displacement Pump for Benchtop Pulsating Flow Model of Cerebrospinal Fluid Production and Other Physiologic Systems
Ahmad Faryami, Adam Menkara, Daniel Viar, Carolyn A Harris
bioRxiv 2021.12.26.474197; doi: https://doi.org/10.1101/2021.12.26.474197
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Testing and Validation of Reciprocating Positive Displacement Pump for Benchtop Pulsating Flow Model of Cerebrospinal Fluid Production and Other Physiologic Systems
Ahmad Faryami, Adam Menkara, Daniel Viar, Carolyn A Harris
bioRxiv 2021.12.26.474197; doi: https://doi.org/10.1101/2021.12.26.474197

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