Rationale and Objectives: Metabolomic analysis provides biochemical profiles of low molecular weight endogenous metabolites in biological fluids. The aim of this study was to assess the feasibility of Nuclear Magnetic Resonance (NMR) based metabolomic analysis applied to exhaled breath condensate. Information coming from NMR spectra was analyzed with a view to establish the NMR variables that best discriminate between asthmatic and healthy children. Methods: 25 children with asthma (17 with persistent asthma treated with inhaled corticosteroids, 8 with intermittent asthma inhaled corticosteroid naive, age 7-15 years) and 11 healthy age-matched controls were enrolled. Every child performed exhaled nitric oxide measurement, spirometry and condensate collection. Condensate samples were analysed by means of NMR spectroscopy (Bruker, BioSpin, 600 MHz 3 mm cryogenic probe at 300 k). Linear and partial least squares discriminant analysis were applied to data obtained from the NMR spectra. Results: The combination of exhaled nitric oxide and FEV₁ discriminates asthmatic and healthy children with a success rate of ~81%, while selected signals from NMR spectra offer a slightly better discrimination (~86%). The selected NMR variables derive from the region of 3.2 to 3.4 ppm, indicative of oxidized compounds and from the region of 1.7 to 2.2 ppm, indicative of acetylated compounds. Conclusion: Metabolomics can be applied to exhaled breath condensate leading to the characterization of airway biochemical fingerprints. The presence of acetylated compounds suggests new metabolic pathways that may have a role in asthma pathophysiology.