A Collection of More than 900 Gas Mixture Adsorption Experiments in Porous Materials from Literature Meta-Analysis

Information on mixture adsorption
equilibrium is vital in developing
adsorption-based separation processes. Because measuring mixture adsorption
is more difficult than measuring single-component adsorption, far
more data of the latter kind are available. Previous efforts to compile
experimental mixture adsorption data for gases have given data sets
with at most a few dozen examples. Here, we report the results of
systematic literature meta-analysis that produced a data set of more
than 900 gas mixture adsorption experiments. This collection includes
data from 125 different binary mixtures including 60 different molecular
species and information from 333 different adsorbents. We refer to
this data set as the Binary adsorption ISOtherm ExperimeNtal 2020
(BISON-20) Database. Because the BISON-20 data set enormously expands
the number and variety of experimental results for binary gas adsorption
that are readily available, it will be a useful resource for future
efforts in developing new materials or processes for gas separations.
As initial applications of the BISON-20 data set, we show how identifying
replicate measurements can be used to assess the reliability of binary
adsorption data, how the accuracy of Ideal Adsorbed Solution Theory
(IAST) can be systematically tested using experimental data, and how
trends in selectivity for gas separations across many materials can
be examined.