Pre-exposure of Lactobacillus acidophilus to stress conditions impacts the metabolites and bioaccessibility of calcium and carotenoids in fermented dairy products.

This study evaluated the impact of fermentation with Lactobacillus acidophilus pre-subjected to acid, osmotic, and oxidative stress conditions on the production of metabolites and the bioaccessibility of nutrients and bioactive compounds in fermented milks and yogurts. The products were added with orange bagasse (additional calcium - Ca source) and buriti pulp (carotenoids source). Gas chromatography coupled with mass spectrometry (GC-MS) and nuclear magnetic resonance (NMR) were used to analyze the volatile and non-volatile compounds metabolites from fermentation, respectively.

Changes in Human Colonic Microbiota Promoted by Synbiotic Açai Juice Composed of Gluco-Oligosaccharides, Dextran, and NRRL B-41408.

The present study evaluates the effects of açai juice containing gluco-oligosaccharides and dextran, fermented by NRRL B-41408 (synbiotic juice), on the human fecal microbiota. The juice is subjected to simulated digestion and fecal fermentation after production and 42 days of refrigerated storage. High throughput 16S rRNA sequencing and HPLC are used to identify the bacterial cells and metabolites.

Parenting Self-Efficacy Moderates the Association Between Unmet Parenting Expectations and NICU-Related PTSD Symptoms Reported by Mothers 1-5 Years Post-Infant NICU Hospitalization.

Infant neonatal intensive care unit (NICU) hospitalization increases maternal risk for post-traumatic stress disorder (PTSD) symptoms, which may negatively impact mother-child attachment and infant growth and development. Prior studies have documented positive associations between unmet parenting expectations and adverse maternal psychological outcomes, including post-NICU discharge. However, no studies have yet explored how unmet parenting expectations may be associated with maternal NICU-related PTSD symptoms.

Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size.

Meteorological data acquired with precision, quality, and reliability are crucial in various agronomy fields, especially in studies related to reference evapotranspiration (ETo). ETo plays a fundamental role in the hydrological cycle, irrigation system planning and management, water demand modeling, water stress monitoring, water balance estimation, as well as in hydrological and environmental studies. However, temporal records often encounter issues such as missing measurements.