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BACKGROUND: The effect of different cooking methods (boiling, vacuum and steamed cooking) on the volatile compound content and sensory properties of sea lettuce (Ulva rigida) seaweed was assessed. Sea lettuce was cooked at three different temperatures (50, 70 and 100 °C) for three different lengths of time (5, 10 and 15 min). Various statistical techniques were employed in order to establish any possible changes. RESULTS: The different cooking methods modified significantly both the volatile compound content and the sensory properties of sea lettuce seaweed. In general, the cooked samples had lower concentrations of several volatile compounds than the control sample, mainly aldehydes. Regarding sensory analysis, the cooked samples exhibited lower values for various aroma descriptors such as seaside and seaweed, whereas descriptor scores such as cooked fish, salty dry fish and crustacean increased. No clear statistical differences were found between different cooking lengths of time and temperature levels with regard to both volatile compounds and sensory properties. CONCLUSIONS: In the cooking of sea lettuce seaweeds, the main sensory changes and modifications in their volatile content took place during the first minutes of cooking and at medium cooking temperatures. © 2020 Society of Chemical Industry.

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Thirty one samples from different macroalgae species have been studied to determine the influence of several parameters such as the harvesting season, the geographical origin, the species or a pretreatment procedure on their volatile composition. A Multiple Head Space Sorptive Extraction methodology coupled to Gas Chromatography with Mass Spectrometry Detection (MHSSE-GC-MS) has been used to analyze 44 volatile compounds that can be found in the different samples. Of all the factors, the collection season proved to be the most influential, followed by origin with significantly lower volatile compounds concentrations found in the samples collected in spring and in southern Spain. A Principal Component Analysis showed that beta ionone, benzaldehyde, 6-methyl-5-hepten-2-one, together with some acids were the most strongly affected by the season, with highest values in those samples that had been collected in the autumn. On the other hand, the pretreatment (raw, salting or dehydration) proved to have a low influence.

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Accelerated maceration experiments of orange peels in Sherry vinegar employing ultrasounds (US) have been carried out. Their effect on the vinegars volatile composition as well as on its olfactometric and sensory characteristics have been evaluated. The optimal conditions for the ultrasounds were determined as follows: sonication power 550 W/L; pulses 40 s On and 20 s Off; with orange peel 200 g/L established previously. Statistical studies showed that maceration under ultrasounds increased volatile compounds content, since the vinegars obtained showed a high content in alcohols, aldehydes and terpenes. Regarding the olfactometric study, the control vinegar exhibited the lowest values for the "floral", "greasy" or "citric" categories and the highest value for the "sweet" category, whereas the US macerated vinegars presented the highest and lowest values for the "floral" and the "acid" categories, respectively. Based on their sensory evaluation, the panel members preferred the vinegar where orange peels had macerated under ultrasounds for 90 min. According to the results, ultrasound is a technology that could be employed to broaden the range of products manufactured by Sherry vinegar producers.

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The wine spirits used for the elaboration of Brandy de Jerez are mainly obtained from wines produced from the Airén type of grape, which comes from the vineyards located in the region of La Mancha (Central Spain). This entails a limitation when achieving a product classified as "protected geographic designation". For that purpose, it is necessary that the grape used for the wine spirit comes from the area and not from Castile la Mancha, as has happened until now. Due to this fact, it is necessary to search for a possible alternative grape variety which allows the produced brandy to be eligible for a "protected geographic designation". For that purpose, an accelerated ageing process has been implemented with a method previously optimized to distillates obtained from wines from different varieties of grapes (Airén, Colombard, Corredera, Doradilla, Garrido Fino, Jaén blanco, Moscatel de Alejandría, Palomino Fino, Ugni Blanc, and Zalema) grown in the Jerez Area. They were evaluated, both from the analytical and sensory points of view. The distillates made from Jaén Blanco and Zalema have properties that make them interesting for future development and incorporation into oenological practice.

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Odour-active compounds in three traditional balsamic vinegars from Modena (TB) and seven balsamic vinegars from Modena (PGI) were determined by gas chromatography-olfactometry (GC-O) using frequency of detection methodology (modified frequency, MF, %). The main odour compounds (mean MF > 60%) were 2,3-butanedione (75%), acetic acid (70%), furan-2-carbaldehyde (62%), 1-(furan-2-yl)ethanone (62%), 2-methylpropanoic acid (66%), butanoic acid (78%), 3-methylbutanoic acid (83%), 2-phenylethyl acetate (65%), 2-hydroxy-3-methylcyclopent-2-en-1-one (61%), 2-phenylethan-1-ol (84%), 3-hydroxy-2-methylpyran-4-one (60%), (5-formylfuran-2-yl)methyl acetate (68%), 2-phenylacetic acid (69%) and 4-hydroxy-3-methoxybenzaldehyde (86%). All odour impact compounds were grouped into 7 categories according to their aromatic character: cheesy-butter-lactic, sweet, flower, empyreumatic, fruity, chemical and miscellaneous. Balsamic vinegars from Modena showed lower values for the sweet category whereas for the miscellaneous and chemical categories they exhibited higher values than those found in traditional balsamic vinegars from Modena. A principal component analysis showed that both types of vinegars from Modena could be clearly differentiated based on olfactometric data.

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The phenolic compounds and anthocyanins present in myrtle berries are responsible for its beneficial health properties. In the present study, a new, microwave-assisted extraction for the analysis of both phenolic compounds and anthocyanins from myrtle pulp has been developed. Different extraction variables, including methanol composition, pH, temperature, and sample⁻solvent ratio were optimized by applying a Box⁻Behnken design and response surface methodology. Methanol composition and pH were the most influential variables for the total phenolic compounds (58.20% of the solvent in water at pH 2), and methanol composition and temperature for anthocyanins (50.4% of solvent at 50 °C). The methods developed showed high repeatability and intermediate precision (RSD < 5%). Both methods were applied to myrtle berries collected in two different areas of the province of Cadiz (Spain). Hierarchical clustering analysis results show that the concentration of bioactive compounds in myrtle is related to their geographical origin.

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In arson attacks the detection of ignitable liquid residues (ILRs) at fire scenes provides key evidence since ignitable liquids, such as gasoline, are commonly used to initiate the fire. In most forensic laboratories gas chromatography-mass spectrometry is employed for the analysis of ILRs. When a fire occurs, suppression agents are used to extinguish the fire and, before the scene is investigated, the samples at the scene are subjected to a variety of processes such as weathering, which can significantly modify the chemical composition and thus lead to erroneous conclusions. In order to avoid this possibility, the application of chemometric tools that help the analyst to extract useful information from data is very advantageous. The study described here concerned the application of a headspace-mass spectrometry electronic nose (HS-MS eNose) combined with chemometric tools to determine the presence/absence of gasoline in weathered fire debris samples. The effect of applying two suppression agents (Cafoam Aquafoam AF-6 and Pyro-chem PK-80 Powder) and delays in the sampling time (from 0 to 48 h) were studied. It was found that, although the suppression systems affect the mass spectra, the HS-MS eNose in combination with suitable pattern recognition chemometric tools, such as linear discriminant analysis, is able to identify the presence of gasoline in any of the studied situations (100% correct classification).