How Experimental Reproducibility Affects Our Effort to Combat Climate Change
DOI:
https://doi.org/10.47611/jsrhs.v11i3.2984Keywords:
adsorption, data analysisAbstract
I present the comparison of CO2 adsorption data on ZIF-8 to show the differences in the data measured by different researchers. I used an isotherm model to fit the collected adsorption data using a simple Least Squares method using Microsoft Excel solver function. The model describes the adsorption data very well and the collected data show quite a large spread with outliers. The heat of adsorption calculated from the adsorption data also shows a very large spread. This level of spread in experimental data can lead to incorrect calculations when these data are used in large scale applications, such as gas separations or gas capture where adsorption is widely studied for uses. Through this work, I highlight the importance of producing reproducible experimental measurements that compare well with the data measured by other researchers.
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