To explore the limits of the kinetic selectivity approach, sensing experiments were performed in humid binary VOC mixtures. These application-relevant conditions are demanding due to the much higher concentration of water compared to VOCs. In addition, for capacitive sensors, this challenge is exacerbated by the high dielectric constant of water () * = 80.2 at 20 °C vs.1.89 for hexane). For instance, despite the hydrophobic nature of ZIF-8, the small quantity of adsorbed water at 50 % relative humidity dominates the sensor's equilibrium capacitance response and drowns out the VOC signal (Fig. ). Yet, because of its small size, the diffusivity of water in ZIF-8 is at least four orders of magnitude larger than that of VOCs 29 , making it possible to eliminate humidity interference via the kinetic selectivity approach. For instance, when measuring ternary mixtures of 150 ppm acetone, 10 ppm hexane, and relative humidity levels ranging from 10 to 50 %, water already fully desorbed during the temperature step (24 to 40 °C), while the VOCs needed significantly longer to reach the new equilibrium. Therefore, the resulting capacitance transient at 40 °C was nearly identical to the measurement for binary VOC mixtures in dry conditions (SI Fig. ) and could be accurately described as the sum of two single-analyte signals. Again, acetone and hexane could be identified based on the extracted diffusivities, which were nearly identical to the values obtained from singlecomponent measurements at the same concentrations (Fig. ). Quantification of each VOC's concentration based on the extracted amplitude values ∆' /' ! proved possible as well, albeit with small deviations compared to the single-analyte measurements at the same concentrations (Fig. ). An equilibrium-based sensor, even a hypothetical perfectly selective one, cannot identify, let alone quantify, more than one analyte since all analyte contributions are lumped into a single output value. To analyze VOC mixtures and attempt to overcome the selectivity issues of current VOC sensors, multiple such elements have been arrayed together in so-called electronic noses . In theory, when enough orthogonal information is present in the combined output of 5 such a sensor array, an analyte of interest can be detected in the presence of interfering compounds. To benchmark the selectivity achievable using a single kinetic selectivity sensor, the same VOCs were analyzed using a commercial electronic nose comprising an array of ten metal oxide semiconductor sensors (SI Fig. ). Interestingly, even in single-analyte measurements, the electronic nose failed to differentiate acetone, 1-propanol, 1-butanol, and nhexane (SI Fig. ). The successful differentiation of these VOCs by a single kinetic selectivity sensor, even at ppm concentrations and in mixtures containing high water vapor concentrations, illustrates the potential of the proposed approach.