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Implementation of an EGS-TS triggers a detailed evaluation and reveals opportunities for education, improved adherence to documentation standards, and further research that may guide quality improvement initiatives.Alpha-terpineol (α-TOH) is a promising monoterpenoid detaining several biological activities. However, as a volatile molecule, the incorporation of α-TOH within formulated products poses several challenges related to its stability. In this sense, nanoencapsulation works as a key technology to protect the bioactivity of low molecular weight oils, like α-TOH, against environmental stresses (heat, light, and moisture), mitigating their susceptibility to degradation (oxidation and volatilization). Physical properties of encapsulated flavor/essential oil have been extensively reported, whereas there is a lack in the literature regarding their chemical stability, which is usually the main purpose of encapsulation. Thus, in this study, the physicochemical stability of the formulated oil-in-water nanoemulsion loaded with α-TOH stabilized with Quillaja saponins (QSs) as a natural emulsifier (α-TOH-QSs-NE) were tracked in a long-term (up to 280th day). Along with time, mean droplet diameter (MDD) and turbidity were used as a reference for physical parameters; while the chemical stability was monitored using gas chromatography analysis to quantify the mark content of α-TOH into the NE. Results indicated that α-TOH-QSs-NE was successfully formulated with a high-load amount of α-TOH (90 mg mL-1). α-TOH-QSs-NE showed great physicochemical stability regardless the storage-temperature (5 °C or 25 °C) up to 280th day, with no significant alterations in the MDD or turbidity, where c.a. 79% of the initial amount of the nanoemulsified α-TOH remained detectable in α-TOH-QSs-NEs, with no finding of degradation products. Thus, the data here disclosure may be useful for innovative application of α-TOH in foodstuffs.Olfactometric and sensory analyses have been applied to study the possible influence of the ripening chamber's geographical location on the aroma sensory profiles and key odorants of Iberian ham. Dry-cured Iberian ham was obtained from 3 acorn-fed pigs and, for the first time, both of the participating production facilities, located in two different Andalusian municipalities with different altitudes above mean sea level, processed one of the two hind legs from each pig. The descriptive sensory profile of orthonasal and retronasal odours was determined by trained panellists, while odour-active compounds were determined by gas chromatography/mass spectrometry-olfactometry (GC/MS-O). The results obtained showed that, separately, both techniques enable Iberian ham samples to be differentiated by their ripening chamber's geographical location. For sensory analysis, retronasal sensory analysis appeared to be the most suitable for this goal, highlighting the "meat broth odour" and "roasted nuts odour" descriptors which presented significant differences between geographical locations for samples from all pigs. Moreover, ripening chamber's geographical location characteristics and the initial composition of the raw material seemed to influence the content of some odour-active compounds. The odour-active compound identified as octane/acetone and isobutanol were conditioned by the ripening chamber's geographical location, while decanal/2-ethyl-1-hexanol, 1-undecanol, 2-furanmethanol and cis-2-nonenal were also influenced by the individual pig itself. This study showed that slight climatological differences due to the location of the ripening chamber seem to have somewhat of an influence on the aromatic profile.A wide variety of novel non-thermal processing technologies (NTPTs) are under development to meet the increasing consumer demand for high-quality fruit and vegetable (F&V) products. Understanding consumers' needs and possible barriers to acceptance of these technologies is however essential to assess the commercial feasibility of mildly processed F&Vs. Situated within this context, and extending previous work on the topic, in this paper we present results from a large-scale choice-based conjoint analysis consumer survey to investigate consumers' choice behavior towards NTPT-processed F&V products in four European countries - Denmark, Italy, Serbia, and Spain, using three model products - orange juice, iceberg salad, and cherry tomatoes respectively processed via three NTPT - mild processing, novel washing, and active packaging, compared to three conventional processing techniques - pasteurization, conventional washing, and conventional packaging, respectively. Images of the three product categories were devel food technology neophobia (FTN), with results showing that high FTN consumers (17% of the sample) were less likely to choose F&V treated with NTPT, compared to consumers with medium or low FTN. Overall, this research suggests that products treated with NTPT may have a broad appeal across European consumers, and that targeted communication explicitly and efficiently focusing on health and taste benefits has the greatest chance to meet consumer preferences.Paracentrotus lividus gonads are receiving increasing interest for their unique sensory attributes. However, the sensory profile of this highly demanded gourmet product has not yet been well described, and doing so may potentially benefit the gonads' marketability and acceptability. The main goal of this study was to build a sensory profile of sea urchin (Paracentrotus lividus) gonads, to evaluate differences between sex and harvest location. Eighty untrained panellists (regular consumers of seafood) were asked to evaluate four samples of raw sea urchin gonads (inside a sea urchin test), divided by sex and harvest location. The panellists evaluated overall liking and acceptance (Food Action Scale), followed by a Rate-All-That-Apply (RATA) ballot with a list of 22 sensory attributes divided into four dimensions appearance (6), odour (6), texture (4) and taste (6). No significant effects of sex and harvest location were identified for liking, but a significant effect of the sex for the Food Action Rating Scale (FACT) was identified. Sensory profiling clearly separated gonads according to sex, with females being more appealing than males. Females were strongly correlated with a pleasant and intense tropical taste, as well as an overall appealing and grainy appearance and a pleasant tropical odour, while males had a slimy appearance and a milky white exudate. When compared with the Check-All-That-Apply (CATA) approach used in our previous study, the use of the RATA approach allowed to discriminate female gonads according to their origin, with those from Praia Norte being firmer, more resilient and more appealing than the ones from Carreço. This study reinforced the fact that female sea urchins tend to present an intense and pleasant tropical taste and a pleasant tropical odour, thus being more appealing to the panellists, contributing valuable information for future nutritional aquaculture studies aiming to enhance sea urchin gonads' attributes and, subsequently, their market valorisation.Identifying the taste characteristics of molecules is essential for the expansion of their application in health foods and drugs. It is time-consuming and consumable to identify the taste characteristics of a large number of compounds through experiments. To date, computational methods have become an important technique for identifying molecular taste. In this work, bitterant/non-bitterant, sweetener/non-sweetener, and bitterant/sweetener are predicted using three structure-taste relationship models based on the convolutional neural networks (CNN), multi-layer perceptron (MLP)-Descriptor, and MLP-Fingerprint. The results showed that all three models have unique characteristics in the prediction of bitterant/non-bitterant, sweetener/non-sweetener, and bitterant/sweetener. For the prediction of bitterant/non-bitterant, sweetener/non-sweetener, and bitterant/sweetener, the MLP-Fingerprint model exhibited a higher predictive AUC value (0.94, 0.94 and 0.95) than the MLP-Descriptor model (0.94, 0.84 and 0.87) and the CNN model (0.88, 0.90 and 0.91) by external validation, respectively. The MLP-Descriptor model showed a distinct structure-taste relationship of the studied molecules, which helps to understand the key properties associated with bitterants and sweeteners. The CNN model requires only a simple 2D chemical map as input to automate feature extraction for favorable prediction. The obtained models achieved accurate predictions of bitterant/non-bitterant, sweetener/non-sweetener and bitterant and sweetener, providing vital references for the identification of bioactive molecules and toxic substances.Due to current marine pollution, microplastics ingestion through seafood is an increasing risk for consumers. In this study, microplastics from mussels (Mytilus galloprovincialis) and table salt employed in popular dishes in Bay of Biscay (Spain) were quantified and analysed by Fourier-Transformed Infrared spectroscopy. Selleckchem YAP-TEAD Inhibitor 1 Microplastics varied in mussels (mean 0.55-3.20 items/g) depending on the environmental pollution of the collection point (seawater, 0.002-0.015 items/mL; sand, 0.06-0.38 items/g). Microplastics content in table salt (0.1-0.38 items/gr) was much lower than in mussels. Chemical substances found from microplastics in mussels and salt are catalogued as hazardous for human health. Significant correlation between microplastics in sand and mussels was found, suggesting that consumers' risk of microplastics ingestion depends on the harvesting area. Routine microplastics analysis in mussels and disclosure of microplastics content on seafood labels are recommended for conscious, informed consumption.Comprehensive metabolite analysis was carried out by gas chromatography combined with mass spectrometry to investigate the time-dependent metabolic changes during wheat dough heating. Thirty-five volatile metabolites comprising alcohols, ketones, aldehydes, aromatic compounds, furans, acids and esters were identified. Sixty-four non-volatile metabolites, which covered a broad spectrum of polar and non-polar constituents, were also identified and quantified. Results showed that the content of most volatile metabolites increased during heating. Meanwhile, the levels of non-volatile polar metabolites, such as sugar and amino acid, increased and the levels of non-volatile non-polar metabolites decreased or remained constant, including fatty acid methyl ester and free fatty acids. PCA results demonstrated that metabolic changes could be reflected by time-dependent shifts in the PCA loading scores during heating. Analysis of the loadings further showed that most volatile metabolites and non-volatile polar metabolites were the major contributors of the heating time-driven changes during heating. Furthermore, lipid oxidation mainly occurred in the residues of oleic acid and linoleic acid of triglycerides.Obesity, a social epidemic disease, threatens human health and affects economic stability worldwide. With the emergence of knowledge implicating the human gut microbiome, a complex relationship between the enteric nervous system, the gut microbiota and the central nervous system has become the focus of research attention. Which allows for the microbiota to influence the metabolism of an organism significantly. To date, data from animal and human studies provide a theoretical basis, that is food-derived natural compounds can work on anti-obesity via the microbiota-gut-brain axis (MGBA). Thus, we systematically summarize the role of the major metabolites in dietary metabolism and the potential for combating obesity and metabolism disorder. Simultaneously, the review examines the sufficient evidence surrounding the MGBA as a regulator of obesity. It will provide a new clue for developing the potential of gut-microbiota-targeted strategies and lay a good foundation for its operation for food intervention in anti-obesity.
Homepage: https://www.selleckchem.com/products/yap-tead-inhibitor-1-peptide-17.html
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