The headspace solid-phase microextraction (HS-SPME) technique followed by GC/MS analysis was performed to evaluate the volatile fraction of durum wheat pasta produced under different process conditions (artisan manufacturing methods or industrial processes). At the same time, HPLC analysis was performed to quantify furosine in the same pasta samples. Furosine is commonly used as an index of nutritional damage occurring during pasta drying, although drastic thermal treatments may lead to its underestimation. Moreover, since furosine determination requires time/solvent-consuming methods, a more convenient approach could be the identification of volatile compounds formed during the drying step and detectable through simple and automated methods. Principal Component Analysis (PCA) was applied to experimental data in order to discriminate pasta samples according to their drying conditions. A limited number of volatile compounds including Maillard reaction and lipid-derived products (nonanal, hexanal, nonanoic acid, maltol and 2-furanmethanol) proved to be crucial in the differentiation of the samples. Therefore, these compounds could be used as pasta quality markers, alternatively to furosine, or as process markers to keep the drying treatment under control
Ten samples of commercially Italian red wines were analyzed in order to determine the phenolic content. Variations in wine types are largely due to differences in concentration and composition of these compounds. Polyphenolic compounds are a large and complex group of substances which constitute one of the most important quality parameters of wine. These constituents of red wine contribute to organoleptic characteristics and to antioxidant and anti‐inflammatory properties. Moderate wine consumption is associated with several beneficial physiological effects, which include anticancer activities, inhibition of platelet aggregation, and inhibition of LDL oxidation which constitutes the initial stage of the pathogenesis of arteriosclerosis. For the analysis, reversed‐phase high performance liquid chromatography (HPLC) method coupled with UV‐Vis detection was used. The method uses a gradient elution to identify nine biologically active phenolic constituents: catechin; epicatechin; trans‐ and cis‐resveratrol; gallic, chlorogenic and caffeic acid; rutin and quercetin in red wine samples. The samples are injected directly without any pretreatment. The method is simple, fast, not expensive and shows good linearity for all constituents, and the detection limits ranged from 0.3–1.6 µg/ml for trans‐resveratrol and gallic acid, respectively. Moreover, the samples were analyzed in different times for estimation of stability of these compounds.