459 research outputs found

    Bioassay-guided isolation and identification of antimicrobial compounds from thyme essential oil by means of overpressured layer chromatography, bioautography and GC-MS

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    A simple method is described for efficient isolation of compounds having an antibacterial effect. Two thyme (Thymus vulgaris) essential oils, obtained from the market, were chosen as prospective materials likely to feature several bioactive components when examined by thin layer chromatography coupled with direct bioautography as a screening method. The newly developed infusion overpressured layer chromatographic separation method coupled with direct bioautography assured that only the active components were isolated by means of overrun overpressured layer chromatography with online detection and fractionation. Each of the 5 collected fractions represented one of the five antimicrobial essential oil components designated at the screening. The purity and the activity of the fractions were confirmed with chromatography coupled various detection methods (UV, vanillin-sulphuric acid reagent, direct bioautography). The antibacterial components were identified with GC-MS as thymol, carvacrol, linalool, diethylphthalate, and alpha-terpineol. The oil component diethyl-phthalate is an artificial compound, used as plasticizer or detergent bases in the industry. Our results support that exploiting its flexibility and the possible hyphenations, overpressured layer chromatography is especially attractive for isolation of antimicrobial components from various matrixes

    Dissecting the politics of “Obamacare”: The role of distributive justice, deservingness, and affect.

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    Political conservatives (vs. liberals) are commonly thought to oppose government-based policies that promote equal distribution of resources, preferring that resources be distributed based on merit. In a sample of American adults (n = 436), distributive fairness perceptions, deservingness, and affective reactions related to the Affordable Care Act (ACA) were examined to better understand the ideological differences in ACA attitudes. Participants completed measures of political orientation, ACA knowledge and attitudes, deservingness, distributive justice principles (i.e., need, equality, merit), anger, and sympathy. Identifying as politically liberal (vs. conservative) and greater knowledge on the ACA predicted greater ACA support. Preferences for the distributive justice principles of equality and need (but not equity) mediated the relation between political orientation and ACA attitudes. Further, conservatives perceived less deservingness and in turn experienced greater anger and opposition to the ACA. Additional exploratory analyses also suggest that the positive path between deservingness and ACA support is moderated by political orientation such that it is stronger among political liberals than conservatives. Implications of the ideological chasm in relation to the ACA are considered

    The person-based nature of prejudice: Individual difference predictors of intergroup negativity

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    Person-based factors influence a range of meaningful life outcomes, including intergroup processes, and have long been implicated in explaining prejudice. In addition to demonstrating significant heritability, person-based factors are evident in expressions of generalised prejudice, a robust finding that some people (relative to others) consistently score higher in prejudice towards multiple outgroups. Our contemporary review includes personality factors, ideological orientations (e.g., authoritarianism), religiosity, anxiety, threat, disgust sensitivity, and cognitive abilities and styles. Meta-analytic syntheses demonstrate that such constructs consistently predict prejudice, often at the upper bounds of effect sizes observed in psychological research. We conclude that prejudice theories need to better integrate person- and situation-based factors, including their interaction, to capture the complexity of prejudice and inform intervention development

    Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography

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    We demonstrate the use of a high resolution form of optical coherence tomography, termed micro-OCT (μOCT), for investigating the functional microanatomy of airway epithelia. μOCT captures several key parameters governing the function of the airway surface (airway surface liquid depth, periciliary liquid depth, ciliary function including beat frequency, and mucociliary transport rate) from the same series of images and without exogenous particles or labels, enabling non-invasive study of dynamic phenomena. Additionally, the high resolution of μOCT reveals distinguishable phases of the ciliary stroke pattern and glandular extrusion. Images and functional measurements from primary human bronchial epithelial cell cultures and excised tissue are presented and compared with measurements using existing gold standard methods. Active secretion from mucus glands in tissue, a key parameter of epithelial function, was also observed and quantified
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