“…GC-MS can be used in several fields, such as plant metabolomics, as reported by Stashenko et al ( 2004 ), who used SPME-GC-MS for sampling the volatile plant metabolites, or for example, by Akhatou et al ( 2016 ), who combined GC-MS with multivariate statistical techniques to characterize the primary metabolome of different strawberry cultivars, and to study the influence of multiple agronomic conditions. Moreover, as reported by Currie et al ( 2016 ), GC-MS has proved useful in microbial metabolomics related to pharmaceutical studies to analyze the endogenous metabolite levels produced by Pseudomonas putida in response to six pharmaceuticals; or in food studies, when used to characterize the microbial metabolite production in: cheese (Vannini et al, 2008 ; Pisano et al, 2016 ), probiotic food (Patrignani et al, 2009 ; Tabanelli et al, 2015b ), sourdough (Guerzoni et al, 2007 ), wine (Vernocchi et al, 2011 ; Patrignani et al, 2016 ), sausages (Tabanelli et al, 2015a ), and ready to eat products (Siroli et al, 2015 ). Moreover, GC-MS is used in clinical applications, for example to analyze volatile compounds (SPME-GC-MS) in urine, blood, feces, hair, breath and saliva (Mills and Walker, 2001 ), or to evaluate biomarkers in several diseases, such as asthma (Gahleitner et al, 2013 ; Chang et al, 2015 ), schizophrenia (Liu et al, 2010 ), depressive disorders (Ding et al, 2014 ), ulcerative colitis (Kohashi et al, 2014 ), and neonatal sepsis (Fanos et al, 2014 ).…”