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Non-targeted and targeted detection of hydrophilic compounds in fu brick tea: A study on samples from major Chinese production regions and different processing stages.
Food Chem
December 2024
National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China. Electronic address:
Systematic research is still lacking on the content of hydrophilic compounds in Fu Brick Tea (FBT) from major Chinese production regions and their variation patterns during the processing of FBT. This study utilized optimized non-targeted (UHPLC-Q-Exactive Orbitrap-MS) and targeted (UHPLC-QqQ-MS) metabolomics to analyze 73 FBT samples from six regions of China and 30 samples from different stages of FBT processing. 573 and 74 hydrophilic compounds were respectively relatively and absolutely quantified for the first time.
View Article and Find Full Text PDFEffects of storage durations on flavour and bacterial communities in Liupao tea.
Food Chem
December 2024
Key Laboratory of Tea Science of Ministry of Education, Hunan Agricultural University, Changsha, Hunan 410128, China.
Long-term storage of Liupao tea is conducive to improving its flavour and commercial value. Although bacterial communities influence Liupao tea flavour, their impact during storage remains unclear. The aroma compounds and bacterial communities were determined by headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) and Illumina Nova6000 analysis.
View Article and Find Full Text PDFFibrous membranes of poly(ethylene oxide)/Sesbania gum oxide/ε-poly(lysine): An influence on its structure.
Food Chem
January 2025
College of Food Science and Engineering, Hainan University, Haikou 570228, China.
Hydrogen peroxide (HO) was used to modify a natural polymer, sesbania gum (SG), to prepare oxidized sesbania gum (OSG) with the aim of investigating the physicochemical properties, antimicrobial activity of polyethylene oxide (PEO), OSG, and ε-poly(lysine) (ε-PL) composite fibre membranes and their applications in fresh-cut mango preservation. The PEO/OSG/ε-PL composite fibre membranes were successfully prepared via solution blow spinning (SBS) technology. The results of a series of characterizations revealed that ε-PL was successfully loaded into the fibrous membranes, exhibited good biocompatibility, and ε-PL was better encapsulated, with the membranes.
View Article and Find Full Text PDFAdherence to institutional stroke alert criteria in an academic adult emergency department population.
Clin Neurol Neurosurg
December 2024
Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Tennessee Valley Healthcare Center, Nashville, TN, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address:
Background: Timely recognition of acute ischemic stroke (AIS) is essential to identify patients who may be eligible for acute intervention. Protocols to streamline systems-based care, such as "stroke alerts" in the emergency department (ED) can safely reduce time-to-care while enhancing safety. However, clinician adherence to stroke alert criteria is poorly described.
View Article and Find Full Text PDFPredicting phage-host interactions via feature augmentation and regional graph convolution.
Brief Bioinform
November 2024
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Identifying phage-host interactions (PHIs) is a crucial step in developing phage therapy, which is the promising solution to addressing the issue of antibiotic resistance in superbugs. However, the lifestyle of phages, which strongly depends on their host for life activities, limits their cultivability, making the study of predicting PHIs time-consuming and labor-intensive for traditional wet lab experiments. Although many deep learning (DL) approaches have been applied to PHIs prediction, most DL methods are predominantly based on sequence information, failing to comprehensively model the intricate relationships within PHIs.
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