where p 0 is the analyte pressure, p is the standard atmospheric pressure, T is the temperature, and k is the Boltzmann constant. This model is chosen as it assumes adsorption up to one full monolayer with no interactions between adsorbates, making it a suitable representation for our case where the chosen conditions lead to low molecular coverages due to the low adsorption energy of most sites on the monolayer surface. Moreover, we assume one adsorption site per 1×1 cell of MoTe 2 for the pristine sheet and, in the case of X-MoTe 2 , one doped and 15 normal sites per 4×4 supercell of MoTe 2 . With these assumptions, after determining the fractional occupancy of the adsorption sites and knowing the site density, we can calculate the molecule coverage. By considering the per-molecule transfers, we can then evaluate the overall change in the charge carrier concentration (n) resulting from analyte adsorption under the specified conditions. The derived values of n are given in Table . As we can see, the results show that sheets with enhanced adsorption interaction facilitate two orders of magnitude greater change in the charge carrier concentration in the sheet over the pristine MoTe 2 or group 16 doped monolayers, which indicates notably improved sensing characteristics of the former. The effect is in one part due to the enhanced charge transfer, and the other part the increased molecule coverage due to the stronger molecule sheet interactions. Hence, all of the dopants from groups 13-15, and 17 will produce similar results. However, as the molecule binding becomes stronger, the sensor's recovery becomes slower, and thus a reasonable balance is required.