Previous studies reported that the use of in sequential culture fermentation with mainly induced a reduction of volatile acidity in wine. The impact of the presence of this yeast on the metabolic pathway involved in pyruvate dehydrogenase (PDH) bypass and glycerol production in has never been investigated. In this work, we compared acetic acid and glycerol production kinetics between pure culture and its sequential culture with during alcoholic fermentation. In parallel, the expression levels of the principal genes involved in PDH bypass and glyceropyruvic fermentation in were investigated. A sequential culture of / at an inoculation ratio of 10:1 produced 40% less acetic acid than pure culture and led to the enhancement of glycerol content (12% higher). High expression levels of pyruvate decarboxylase and , acetaldehyde dehydrogenase , alcohol dehydrogenase and glycerol-3-phosphate dehydrogenase genes during the first 3 days of fermentation in sequential culture conditions are highlighted. Despite the complexity of correlating gene expression levels to acetic acid formation kinetics, we demonstrate that the acetic acid production pathway is altered by sequential culture conditions. Moreover, we show for the first time that the entire acetic acid and glycerol metabolic pathway can be modulated in by the presence of at the beginning of fermentation.
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http://dx.doi.org/10.3389/fmicb.2017.01137 | DOI Listing |
Sci Rep
January 2025
Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, 110 Intavaroros Rd., Muaeng, Chiang Mai, 50200, Thailand.
Early diagnosis and appropriate treatment are essential for reducing morbidity and mortality in tuberculous meningitis (TBM). This study aimed to evaluate the diagnostic performance of the Xpert MTB/RIF assay for the diagnosis of TBM in patients with subacute lymphocytic meningitis. This cross-sectional study included 65 cerebrospinal fluid (CSF) specimens from patients at Maharaj Nakorn Chiang Mai University Hospital, Thailand, between January 2015 and March 2016.
View Article and Find Full Text PDFBioresour Technol
January 2025
CRETUS, Department of Chemical Engineering, Universidade de Santiago de Compostela 15782 Santiago de Compostela, Spain.
This work investigates the optimization of medium-chain carboxylate (MCC) production through xylan mixed-culture monofermentation. The pH screening in batch assays showed that the hydrolysis stage and selectivity towards MCC precursors were optimised at pH 6. Subsequently, a continuous stirred tank reactor (CSTR) and a Sequential Batch Reactor (SBR) were operated at different Hydraulic Retention Times (HRT), revealing that the SBR at HRT 2 days yielded the highest caproic acid since lactic acid availability and chain elongation process were balanced.
View Article and Find Full Text PDFMater Horiz
January 2025
School of Chemistry, UNSW Sydney, Sydney, NSW 2052, Australia.
Patterning soft materials with cell adhesion motifs can be used to emulate the structures found in natural tissues. While patterning in tissue is driven by cellular assembly, patterning soft materials in the laboratory most often involves light-mediated chemical reactions to spatially control the presentation of cell binding sites. Here we present hydrogels that are formed with two responsive crosslinkers-an anthracene-maleimide adduct and a disulfide linkage-thereby allowing simultaneous or sequential patterning using force and UV light.
View Article and Find Full Text PDFPlant Dis
January 2025
Hebei Academy of Agricultural and Forestry Sciences, Plant Protection Institute, 437 Dongguan Street, Baoding, Hebei, China, 071000.
Strawberry () is an important economic crop in Hebei, China. In May 2023, root rot was observed in strawberry plantations (cultivar 'Benihoppe') in Shijiazhuang (37°57'23″N, 115°16'34″E), Hebei, China. The incidence of the disease reached up to 30% in the field.
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January 2025
Department of Computer Science, College of Computer and Information Sciences, King Saud University, 11543, Riyadh, Saudi Arabia.
Understanding the nuanced emotions and points of view included in user-generated content remains challenging, even though text data analysis for mental health is a crucial instrument for assessing emotional well-being. Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization.
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