The extraction of molecules with high added value plays an important role in the recovery of food waste. This work aimed to valorize tomato pomace, a by-product composed of skin and seeds, through extraction of carotenoids, especially lycopene and β-carotene. The tomato pomace was dried using three different methods (freeze-drying, heat drying, and non-thermal air-drying) to reduce its weight, volume, and water activity and to concentrate the carotenoid fraction. These drying approaches were compared considering the extractive potential. Three solvent mixtures were compared, a traditional one (n-hexane:acetone) and two green deep eutectic solvent mixtures (ethyl acetate:ethyl lactate and menthol:lactic acid) in combination with different drying procedures. The extract obtained using ethyl acetate:ethyl lactate with non-thermal air-drying showed the highest contents of lycopene and β-carotene (75.86 and 3950.08 µg/g of dried sample, respectively) compared with the other procedures.

Sensory evaluation, carried out by panel tests, is essential for quality classification of virgin olive oils (VOOs), but is time consuming and costly when many samples need to be assessed; sensory evaluation could be assisted by the application of screening methods. Rapid instrumental methods based on the analysis of volatile molecules might be considered interesting to assist the panel test through fast pre-classification of samples with a known level of probability, thus increasing the efficiency of quality control. With this objective, a headspace gas chromatography-ion mobility spectrometer (HS-GC-IMS) was used to analyze 198 commercial VOOs (extra virgin, virgin and lampante) by a semi-targeted approach. Different partial least squares-discriminant analysis (PLS-DA) chemometric models were then built by data matrices composed of 15 volatile compounds, which were previously selected as markers: a first approach was proposed to classify samples according to their quality grade and a second based on the presence of sensory defects. The performance (intra-day and inter-day repeatability, linearity) of the method was evaluated. The average percentages of correctly classified samples obtained from the two models were satisfactory, namely 77% (prediction of the quality grades) and 64% (prediction of the presence of three defects) in external validation, thus demonstrating that this easy-to-use screening instrumental approach is promising to support the work carried out by panel tests.

The demand for high-quality extra virgin olive oil (EVOO) is growing due to its unique characteristics. The aroma and flavor of EVOO depend on its content of volatile organic compounds (VOCs), whose formation is affected by the olive variety and maturity index, and the oil production process. In this study, the sensory quality and VOC and fatty acid (FA) profiles were determined in Arbequina olive oils produced by applying different malaxation parameters (20, 25, and 30 °C, and 30 and 45 min). All the olive oils were classified as EVOO by a sensory panel, regardless of the production conditions. However, cold extraction at 20 °C resulted in more positive sensory attributes (complexity). The FA concentration increased significantly with the malaxation temperature, although the percentage profile remained unaltered. Finally, an OPLS-DA model was generated to identify the discriminating variables that separated the samples according to the malaxation temperature. In conclusion, the tested range of malaxation parameters appeared not to degrade the distinctive attributes/organoleptic profile of olive oil and could be applied to obtain an EVOO of high sensory quality, especially at 20 °C.

The changes in monovarietal extra virgin olive oils (EVOOs), produced with olives grown under different agronomic conditions, were investigated by targeted and untargeted analytical approaches. Specifically, volatile molecules were monitored in oils just produced and stored for 6 and 12 months with two different packaging solutions. The targeted SPME-GC–MS method showed an increase in volatile markers of lipid oxidation. Moreover, more rapid analytical approaches, namely targeted HS-GC–IMS and untargeted FGC, were used to investigate volatile organic compounds (VOCs). These chromatographic methods, respectively, returned heatmaps and fingerprint profiles that were elaborated on by multivariate analysis. Exploratory principal component analysis performed on the data from VOCs allowed the clustering of samples based on the storage time. The quality of samples was also determined by a panel test. Furthermore, this study employed previously built models using partial least squares discriminant analysis to confirm the sensory classification of the stored samples. Based on these predictive models, all samples were confirmed as EVOO, except for one categorized as virgin (rancid according to the panel test). This classification was further supported by the SPME-GC–MS analysis, which revealed higher concentrations of lipid oxidation markers in this specific sample, in particular the (E)-2-heptenal reached a concentration twenty times higher than its odor threshold. In addition, five oils were inconsistently classified by the models and considered at risk of downgrading the commercial category after 12 months of storage.