4 resultados para Mãos

em CentAUR: Central Archive University of Reading - UK


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The aims of this study were to assess the impact of coffee derived mannooligosaccharides on the faecal microbiota of a healthy UK based population. Methods and Results: A double-blind, placebo-controlled, crossover human intervention study was conducted. Volunteers were assigned, 3g MOS, 5g MOS and placebo coffee preparations, to consume daily over a 3 wks, followed by a 2 wk washout period. Faecal samples were collected, and microbial population characterised using fluorescence in situ hybridization. Short-chain and branched-chain fatty acid profiles were obtained by gas chromatography. All treatments led to significant lactobacilli increases (placebo, p < 0.001; 3g, p = 0.04; 5g, p=0.04). The 3g treatment led to a significant bifidobacteria increase (p=0.001). Significantly less iso-valerate was found in faeces following 3g MOS daily (p=0.05). Conclusions: The 3g dose of MOS led to a potentially beneficial shift in the faecal microbiota. MOS was therefore confirmed to be a prebiotic at 3g dose. Significance and Impact of Study: This study provides confirmation of a new novel prebiotic, that can be considered for incorporation into a wider variety of food products, to provide different selective and nutritional properties.

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Dynamical downscaling of Global Climate Models (GCMs) through regional climate models (RCMs) potentially improves the usability of the output for hydrological impact studies. However, a further downscaling or interpolation of precipitation from RCMs is often needed to match the precipitation characteristics at the local scale. This study analysed three Model Output Statistics (MOS) techniques to adjust RCM precipitation; (1) a simple direct method (DM), (2) quantile-quantile mapping (QM) and (3) a distribution-based scaling (DBS) approach. The modelled precipitation was daily means from 16 RCMs driven by ERA40 reanalysis data over the 1961–2000 provided by the ENSEMBLES (ENSEMBLE-based Predictions of Climate Changes and their Impacts) project over a small catchment located in the Midlands, UK. All methods were conditioned on the entire time series, separate months and using an objective classification of Lamb's weather types. The performance of the MOS techniques were assessed regarding temporal and spatial characteristics of the precipitation fields, as well as modelled runoff using the HBV rainfall-runoff model. The results indicate that the DBS conditioned on classification patterns performed better than the other methods, however an ensemble approach in terms of both climate models and downscaling methods is recommended to account for uncertainties in the MOS methods.

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Previously, using an in vitro static batch culture system, it was found that rice bran (RB), inulin, fibersol, mannanoligosaccharides (MOS), larch arabinogalactan and citrus pectin elicited prebiotic effects (in terms of increased numbers of bifidobacteria and lactic acid bacteria) on the faecal microbiota of a dog. The aim of the present study was to confirm the prebiotic potential of each individual substrate using multiple faecal donors, as well as assessing the prebiotic potential of 15 substrate blends made from them. Anaerobic static and stirred, pH-controlled batch culture systems inoculated with faecal samples from healthy dogs were used for this purpose. Fluorescence in situ hybridization (FISH) analysis using seven oligonucleotide probes targeting selected bacterial groups and DAPI (total bacteria) was used to monitor bacterial populations during fermentation runs. High-performance liquid chromatography was used to measure butyrate produced as a result of bacterial fermentation of the substrates. RB and a MOS/RB blend (1:1, w/w) were shown to elicit prebiotic and butyrogenic effects on the canine microbiota in static batch culture fermentations. Further testing of these substrates in stirred, pH-controlled batch culture fermentation systems confirmed the prebiotic and butyrogenic effects of MOS/RB, with no enhancement of Clostridium clusters I and II and Escherichia coli populations.