Effect of High Atmospheric Carbon Dioxide Concentrations on the Serum Total Carbon Dioxide Measurement

2020 ◽  
Vol 103 (8) ◽  
pp. 791-795

Background: Serum total carbon dioxide (TCO₂) measurements are easily affected by numerous factors. Whether an irregularly high atmospheric CO₂ concentration affects the TCO₂ measurement remains unclear. Materials and Methods: In Somdech Phra Debaratana Medical Center laboratory (SDMC) and the main building laboratory (Building 1) located within Ramathibodi Hospital, Mahidol University, Bangkok, Thailand, the repeated TCO₂ measurements using an enzymatic assay in three levels of human based control material were performed every two hours, over a one-day period. TCO₂ in a total of 150 patient sera were measured. Simultaneously, atmospheric CO₂ levels were determined. Results: Atmospheric CO₂ levels in SDMC and Building 1, ranged from 763 to 1,560 ppm and 602 to 787 ppm, respectively. Repeated TCO₂ measurements for SDMC, the measured TCO₂ concentrations of all control materials clearly increased between 10:00 a.m. and 4:00 p.m., with the peak at 2:00 p.m., which was related to an increase in the atmospheric CO₂ concentration. By contrast, in Building 1, the measurements were considerably stable. Moreover, considering patient data (n=12,042), the estimate median TCO₂ concentration in SDMC was likely to increase between 10:00 a.m. to 4:00 p.m. as well. The association between the bias (y), difference TCO₂ concentration obtained between the SDMC and the Building 1, and the increasing atmospheric CO₂ (x) was y = 0.0038x – 0.016, R²=0.6813. Using regression equations, TCO₂ level increased by approximately 0.4 mmol/L for every 100 ppm of CO₂ increase in atmosphere. Conclusion: High atmospheric CO₂ concentrations can result in falsely high TCO₂ values, which may lead to markedly wrong interpretations, especially in patients with a tendency to have low TCO₂ concentrations. Keywords: Serum total carbon dioxide, Atmospheric carbon dioxide, Acid-base disorder

2016 ◽  
Author(s):  
C. Frankenberg ◽  
S. S. Kulawik ◽  
S. Wofsy ◽  
F. Chevallier ◽  
B. Daube ◽  
...  

Abstract. In recent years, space-borne observations of atmospheric carbon-dioxide (CO2) have become increasingly used in global carbon-cycle studies. In order to obtain added value from space-borne measurements, they have to suffice stringent accuracy and precision requirements, with the latter being less crucial as it can be reduced by just enhanced sample size. Validation of CO2 column averaged dry air mole fractions (XCO2) heavily relies on measurements of the Total Carbon Column Observing Network TCCON. Owing to the sparseness of the network and the requirements imposed on space-based measurements, independent additional validation is highly valuable. Here, we use observations from the HIAPER Pole-to-Pole Observations (HIPPO) flights from January 2009 through September 2011 to validate CO2 measurements from satellites (GOSAT, TES, AIRS) and atmospheric inversion models (CarbonTracker CT2013B, MACC v13r1). We find that the atmospheric models capture the XCO2 variability observed in HIPPO flights very well, with correlation coefficients (r2) of 0.93 and 0.95 for CT2013B and MACC, respectively. Some larger discrepancies can be observed in profile comparisons at higher latitudes, esp. at 300 hPa during the peaks of either carbon uptake or release. These deviations can be up to 4 ppm and hint at misrepresentation of vertical transport. Comparisons with the GOSAT satellite are of comparable quality, with an r2 of 0.85, a mean bias μ of −0.06 ppm and a standard deviation σ of 0.45 ppm. TES exhibits an r2 of 0.75, μ of 0.34 ppm and σ of 1.13 ppm. For AIRS, we find an r2 of 0.37, μ of 1.11 ppm and σ of 1.46 ppm, with latitude-dependent biases. For these comparisons at least 6, 20 and 50 atmospheric soundings have been averaged for GOSAT, TES and AIRS, respectively. Overall, we find that GOSAT soundings over the remote pacific ocean mostly meet the stringent accuracy requirements of about 0.5 ppm for space-based CO2 observations.


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