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The post-fermentation phase of still wine plays a crucial role in determining wine quality. This study evaluates the impact of key winery practices (including nitrogen supplementation during fermentation, cooling methods, and SO₂ addition) on yeast lees viability and acetaldehyde production during the post-fermentation stage. Two commercial Saccharomyces cerevisiae strains with distinct technological characteristics were assessed under a real vinification protocol involving a decanting rest, two rackings, and bottling. Nitrogen was supplemented either as ammonium alone (NH₄) or as a mix of ammonium and amino acids (MIX). In order evaluate the effect of the treatments independently to the yeast strain, statistical mixed models were applied. Results showed that generally MIX supplementation significantly enhanced yeast viability without increasing acetaldehyde levels. Fast cooling and absence of SO₂ addition after fermentation were associated with higher viable cell counts and lower acetaldehyde concentrations. Although SO₂ addition consistently increased acetaldehyde, the timing of its application did not significantly affect its final concentration. These findings suggest that optimizing nitrogen nutrition and post-fermentation cooling strategies can improve wine quality by modulating viable cells concentration and acetaldehyde production. Moreover, the observed persistence of viable yeast cells highlights the need for further studies on their role in oxidation protection and wine maturation, providing a foundation for refined fermentation management practices.
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http://dx.doi.org/10.1016/j.ijfoodmicro.2025.111368 | DOI Listing |
J Am Soc Nephrol
September 2025
Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, USA.
Background: Genetic modifiers are believed to play an important role in the onset and severity of polycystic kidney disease (PKD), but identifying these modifiers has been challenging due to the lack of effective methodologies.
Methods: We generated zebrafish mutants of IFT140, a skeletal ciliopathy gene and newly identified autosomal dominant PKD (ADPKD) gene, to examine skeletal development and kidney cyst formation in larval and juvenile mutants. Additionally, we utilized ift140 crispants, generated through efficient microhomology-mediated end joining (MMEJ)-based genome editing, to compare phenotypes with mutants and conduct a pilot genetic modifier screen.
Mol Pharm
September 2025
Department of Patho-Functional Bioanalysis, Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-Ku, Kyoto 606-8501, Japan.
Fibroblast activation protein (FAP) is an attractive biomarker for tumor-targeting radioligands. While [Ga]Ga-FAPI-46 is a promising FAP-targeting radioligand for cancer diagnosis, clinical application of [Lu]Lu-FAPI-46 for targeted radionuclide therapy is limited due to its insufficient tumor retention. Albumin binder (ALB) including 4-(-iodophenyl)butyric acid is widely utilized to improve tumor accumulation of radioligands.
View Article and Find Full Text PDFCereb Cortex
August 2025
Faculty of Psychology and Education Science, Department of Psychology, University of Geneva, Chemin des Mines 9, Geneva, 1202, Switzerland.
Language learning and use relies on domain-specific, domain-general cognitive and sensory-motor functions. Using fMRI during story listening and behavioral tests, we investigated brain-behavior associations between linguistic and non-linguistic measures in individuals with varied multilingual experience and reading skills, including typical reading participants (TRs) and dyslexic readers (DRs). Partial Least Square Correlation revealed a main component linking cognitive, linguistic, and phonological measures to amodal/associative brain areas.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Max Planck Institute for Solar System Research, Göttingen 37077, Germany.
Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba 305-8577, Japan.
All organisms are exposed to various stressors, which can sometimes lead to organismal death, depending on their intensity. While stress-induced organismal death has been observed in many species, the underlying mechanisms remain unclear. In this study, we investigated the molecular mechanisms of stress-induced organismal death in the fruit fly .
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