Abstract: A method for characterizing compounds of interest, introduced into a measuring chamber of an electronic nose, includes injecting a first gas sample formed from a carrier gas without the compounds of interest forming a second gas sample from the carrier gas with the compounds of interest; determining a measurement signal (Sk(ti)); measuring values ?1, ?2 of the relative humidity; determining corrective parameter ({tilde over (S)}kref|?2; ?Skref|??); and determining a useful signal (Suk(ti?P2)) by correcting the measurement signal associated with the second gas sample using the determined corrective parameter, and characterizing the compounds of interest based on the useful signal.

Abstract: A sensor is configured to input a fluid sample and to output a corresponding signature obtained from an electric signal characterizing the fluid sample, and includes at least one reactive site; at least one transducer configured to measure at least one physical property change induced by an interaction of the fluid sample with the at least one reactive site and to produce the electric signal. It is further certified to have passed a qualification test including computing a metrics and checking that the metrics matches at least one predefined qualifying criterion, wherein the metrics includes, for a plurality of reference fluid samples, a clustering quality score of respective signatures of the plurality of reference fluid samples.

Abstract: A method for recalibrating an electronic nose includes successively injecting, into a measurement chamber, reference gases that do not contain target compounds and that have various values of relative humidity. A measurement signal is determined in the course of each injection. Then, for each reference gas, a baseline is determined, which baseline is representative of the determined measurement signal. The baseline is also associated with the relative humidity of the reference gas present. A second correction function is determined on the basis of the determined baselines and of the predetermined values of relative humidity. The second correction function is then stored in a processing uni instead of a first correction function.