Sharan M, Selvakumar S, Singh M P
Centre for Atmospheric and Fluids Sciences, Indian Institute of Technology, Delhi.
Int J Biomed Comput. 1990 Sep;26(3):135-47. doi: 10.1016/0020-7101(90)90038-v.
A mathematical model is formulated for computing alveolar partial pressure of carbon monoxide (PACO) from that in the atmospheric air. The model takes into account parameters like inspired/expired air flow rates, diffusion capacity of the lung, concentration of CO in the atmospheric air, blood flow rate and the non-linear CO dissociation curve. The effect due to the presence of O2 in the blood on CO dissociation curve is also incorporated. It is shown that for a given atmospheric CO concentration, PACO increases exponentialy with time and attains asymptotic value. Alveolar PCO increases further with the increase in the atmospheric CO concentration. The model can also be used to compute carboxyhaemoglobin levels in the blood as a function of exposure time and the results are comparable with the CFK equation and the values measured experimentally.
建立了一个数学模型，用于根据大气空气中一氧化碳的分压计算肺泡一氧化碳分压（PACO）。该模型考虑了诸如吸入/呼出气流速率、肺的扩散能力、大气空气中一氧化碳的浓度、血流速率以及非线性一氧化碳解离曲线等参数。还纳入了血液中氧气的存在对一氧化碳解离曲线的影响。结果表明，对于给定的大气一氧化碳浓度，PACO随时间呈指数增加并达到渐近值。随着大气一氧化碳浓度的增加，肺泡PCO进一步升高。该模型还可用于计算血液中碳氧血红蛋白水平作为暴露时间的函数，其结果与CFK方程以及实验测量值具有可比性。
