Autism spectrum disorders (ASDs) are a group of neurodevelopmental disorders which have a severe life-long effect on behavior and social functioning, and which are associated with metabolic abnormalities. Their diagnosis is on the basis of behavioral and developmental signs usually detected before three years of age, and there is no reliable biological marker. The objective of this study was to establish the volatile urinary metabolomic profiles of 24 autistic children and 21 healthy children (control group) to investigate volatile organic compounds (VOCs) as potential biomarkers for ASDs. Solid-phase microextraction (SPME) using DVB/CAR/PDMS sorbent coupled with gas chromatography-mass spectrometry was used to obtain the metabolomic information patterns. Urine samples were analyzed under both acid and alkaline pH, to profile a range of urinary components with different physicochemical properties. Multivariate statistics techniques were applied to bioanalytical data to visualize clusters of cases and to detect the VOCs able to differentiate autistic patients from healthy children. In particular, orthogonal projections to latent structures discriminant analysis (OPLS-DA) achieved very good separation between autistic and control groups under both acidic and alkaline pH, identifying discriminating metabolites. Among these, 3-methyl-cyclopentanone, 3-methyl-butanal, 2-methyl-butanal, and hexane under acid conditions, and 2-methyl-pyrazine, 2,3-dimethyl-pyrazine, and isoxazolo under alkaline pH had statistically higher levels in urine samples from autistic children than from the control group. Further investigation with a higher number of patients should be performed to outline the metabolic origins of these variables, define a possible association with ASDs, and verify the usefulness of these variables for early-stage diagnosis.

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Production of extra virgin olive oil (EVOO) represents an important element for the economy of Southern Italy. Therefore, EVOO is recognized as a food with noticeable biological effects. Our study aimed to evaluate the antimicrobial activity exhibited by the polyphenolic extracts of EVOOs, obtained from three varieties of Olea europea L. (Ruvea antica, Ravece, and Ogliarola) cultivated in the village of Montella, Avellino, Southern Italy. The study evaluated the inhibiting effect of the extracts against some Gram-positive and Gram-negative bacteria. Statistical analysis, used to relate values of antimicrobial activity to total polyphenols and phenolic composition, revealed a different behavior among the three EVOO polyphenol extracts. The method applied could be useful to predict the influence of singular metabolites on the antimicrobial activity.

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Volatile Organic Compounds (VOCs) profile of foods obtained by Gas Chromatography/Mass Spectrometry (GC/MS) can be considered a potent tool of food products quality changes occurring as a result of different processing, such as ripening and deterioration. The aim of the present study was the evaluation of volatiles profiles of peaches (cv Springcrest) during their storage in conditions similar to those of long distance transport that normally these products undergo before being placed on market. We investigated control sample (no stored fruit) and peaches stored in cardboard boxes wrapped in heat-sealed HD polythene bags, both in normal and modified atmosphere (0% and 23% CO 2 ) after 1 and 8 days of storage at 4°C. GC/MS analysis of these samples allowed the identification of a total of 115 VOCs.

Extra virgin olive oil (EVOO), appraised for its healthy properties, represents an important element for the economy of several countries of the Mediterranean area, including Italy. Our study aimed to evaluate some biochemical characteristics (polyphenols and volatile compounds) as well as the antioxidant activity of three EVOOs obtained from the varieties Ravece, Ogliarola, and Ruvea antica, grown in the same field of an Irpinian village, Montella, in the Campania region, Southern Italy. Extra virgin olive oil Ruvea antica contained the greatest amount of total polyphenols and showed the highest antioxidant activity. Principal component analysis of the aromatic profiles indicated that the three EVOOs could be easily discriminated according to the cultivar. 1‐Hexanol, 2‐hexen‐1‐ol, 3‐pentanone, representing the most abundant volatiles of the EVOO Ruvea antica, and 2‐hexenal, which resulted the main component in EVOOs Ogliarola and Ravece, could be considered as markers to discriminate these three EVOOs, according to the ReliefF feature selection algorithm.

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