Non-Dispersive Near Infrared Gas Flow Cell Design for Oxygenator-Exhaust Capnometry

Authors

  • Basma Abdulsahib Faihan Al-Nahrain University
  • Ziad T. Al-Dahan College of Engineering, Al-Nahrain University
  • Hussein H. Alzubeidy Ibn Albitar Specialized Center for Cardiac Surgery, Baghdad, Iraq

DOI:

https://doi.org/10.29194/NJES.25020076

Keywords:

Oxygenator Exhaust Capnometry, NDIR, Gas Flow Cell, Gas-Flow Simulation, ANSYS Discovery

Abstract

Non-dispersive near-infrared technique is widely used nowadays for the detection of gases, especially in harsh environments. In this study, an optical gas cell was designed for oxygenator exhaust capnometry. A computer-based simulation was used for the analysis of air flows for model selection. ANSYS Discovery 2020 R2 was used for model simulation. The gas flow cells were tested using a custom-made gas rig to measure the fraction absorbance of carbon dioxide gas at the detector. Two gases were used, nitrogen gas as a reference gas (0%) and 9% carbon dioxide. Three gas cells with the following optical path lengths were tested: 31mm, 36mm, and 40mm. The results showed that all gas flow cells produced laminar flow and small pressure drop across the inlet and outlet of the cell (11~12 Pa). Further, the minimum velocity is obtained in the 40mm gas flow sensor and it is located at the gas outlet path away from the effective optical gas path. The simulation and experimental results indicate that the gas flow cell of 40mm optical path length is more suitable for the intended application as it offers a maximum effective absorption path compared to the stagnation areas, and as a result, it provides the maximum fraction absorbance.

Downloads

Download data is not yet available.

References

D. P. Davis, “Quantitative capnometry as a critical resuscitation tool.,” J. Trauma Nurs., vol. 12, no. 2, pp. 40–42, 2005, doi: 10.1097/00043860-200512020-00003.

A. Baraka, M. El-khatib, E. Muallem, S. Jamal, S. Haroun-bizri, and M. Aouad, “Oxygenator Exhaust Capnography for Prediction of Arterial Carbon Dioxide Tension During Hypothermic Cardiopulmonary Bypass,” pp. 192–195, 2005.

A. Montalti et al., “Continuous monitoring of membrane lung carbon dioxide removal during ECMO: experimental testing of a new volumetric capnometer.,” Perfusion, vol. 34, no. 7, pp. 538–543, Oct. 2019, doi: 10.1177/0267659119833233.

F. Epis and M. Belliato, “Oxygenator performance and artificial-native lung interaction.,” J. Thorac. Dis., vol. 10, no. Suppl 5, pp. S596–S605, Mar. 2018, doi: 10.21037/jtd.2017.10.05.

E. Duscio et al., “Extracorporeal CO2 Removal: The Minimally Invasive Approach, Theory, and Practice.,” Crit. Care Med., vol. 47, no. 1, pp. 33–40, Jan. 2019, doi: 10.1097/CCM.0000000000003430.

J. Hodgkinson and R. P. Tatam, “Optical gas sensing: a review,” Meas. Sci. Technol., vol. 24, p. 12004, 2013.

Y. Ishigaki, K. Enoki, and S. Yokogawa, “Accuracy verification of low-cost CO2 concentration measuring devices for general use as a countermeasure against COVID-19.” 2021, doi: 10.1101/2021.07.30.21261265.

T.-V. Dinh, I.-Y. Choi, Y.-S. Son, and J.-C. Kim, “A review on non-dispersive infrared gas sensors: Improvement of sensor detection limit and interference correction,” Sensors Actuators B Chem., vol. 231, Mar. 2016, doi: 10.1016/j.snb.2016.03.040.

T. Vincent and J. W. Gardner, “A low cost MEMS based NDIR system for the monitoring of carbon dioxide in breath analysis at ppm levels,” Sensors Actuators B Chem., vol. 236, 2016, doi: 10.1016/j.snb.2016.04.016.

J. O. Høgetveit, F. Kristiansen, and T. H. Pedersen, “Development of an intrsument to indirectly monitor arterial pCO2during cardiopulmonary bypass,” Perfusion, vol. 21, no. 1, pp. 13–19, 2006, doi: 10.1191/0267659106pf841oa.

G. Zhang, Y. Li, and Q. Li, “A miniaturized carbon dioxide gas sensor based on infrared absorption,” Opt. Lasers Eng., vol. 48, pp. 1206–1212, Dec. 2010, doi: 10.1016/j.optlaseng.2010.06.012.

T. Liang, X. J. Yang, C. Y. Xue, and W. D. Zhang, “Study of Optical Gas Chamber Based on Infrared Gas Sensor,” Adv. Mater. Res., vol. 472–475, pp. 1102–1106, 2012, doi: 10.4028/www.scientific.net/AMR.472-475.1102.

C. Chen, Z. Yujun, H. Ying, Y. Kun, and G. Yanwei, Simulation Method for Optical System of an Infrared Gas Sensor. 2016.

D. Shah, D. M. Fuke, S. Upadhyay, A. Verma, and S. Rehman, Development and characterization of NDIR-based CO 2 sensor for manned space missions. 2016.

I. Sieber, H. Eggert, K.-H. Suphan, and O. Nuessen, “Optical modeling of the analytical chamber of an IR gas sensor,” in Proc.SPIE, Apr. 2001, vol. 4408, doi: 10.1117/12.425387.

J. S. Park, H. C. Cho, and S. H. Yi, “NDIR CO2 gas sensor with improved temperature compensation,” Procedia Eng., vol. 5, pp. 303–306, 2010, doi: 10.1016/j.proeng.2010.09.108.

J. Hodgkinson, R. Smith, W. Ho, J. Saffell, and R. Tatam, “Non-dispersive infra-red (NDIR) measurement of carbon dioxide at 4.2?m in a compact and optically efficient sensor,” Sensors Actuators B Chem., vol. 186, pp. 580–588, Sep. 2013, doi: 10.1016/j.snb.2013.06.006.

J. Mayrwoeger, P. Hauer, W. Reichl, R. Schwodiauer, C. Krutzler, and B. Jakoby, “Modeling of Infrared Gas Sensors Using a Ray Tracing Approach,” Sensors Journal, IEEE, vol. 10, pp. 1691–1698, Dec. 2010, doi: 10.1109/JSEN.2010.2046033.

Downloads

Published

19-07-2022

How to Cite

[1]
B. A. Faihan, Z. Al-Dahan, and H. Alzubeidy, “Non-Dispersive Near Infrared Gas Flow Cell Design for Oxygenator-Exhaust Capnometry”, NJES, vol. 25, no. 2, pp. 76–80, Jul. 2022, doi: 10.29194/NJES.25020076.

Similar Articles

71-80 of 194

You may also start an advanced similarity search for this article.