Xenes can be suitable candidates for sensing applications. So, their nanoribbon’s capabilities as carbon gas sensors have been investigated by employing tight-binding approximation coupling to Non-Equilibrium Green’s Function. The armchair type of graphene, silicene, and phosphorene nanoribbons (AGNR, ASiNR, and APNR) are selected from Xenes materials for sensing CO, CO2, and CH4 as carbon-based gases in different concentrations. Our study shows that AGNR-based sensors are sensitive to CO and CO2 gas molecules at low concentrations (below 0.15). ASiNR-based sensors have considerable sensitivity to all CO and CH4 gas molecule concentrations. However, APNR-based sensors can only detect CO2 gas molecules. While AGNR-based sensors show the best selectivity properties in the presence of three gases, and ASiNR-based sensors can select CO gas molecules from the rest. Although, APNR-based sensors show weak selectivity. Furthermore, due to their bond type, the APNR-based sensor has less recovery time than AGNR- and ASiNR-based gas sensors.