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Antioxidant and Anti-Obesity Properties of Acidic and Alkaline Seaweed Extracts Adjusted to Different pH Levels.
Mar Drugs
January 2025
National Food Institute, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
This research examined antioxidant and anti-obesity effects of extracts obtained through acidic or alkaline treatments and subsequent pH adjustments. After two rounds of acidic or alkaline extraction, the extracts were separated from biomass and adjusted to different pH values: for acidic extracts, pH 3 (no adjustment), pH 6, pH 9, and pH 12; for alkaline extracts, pH 12 (no adjustment), pH 9, pH 6, and pH 3. The findings revealed that extraction medium as well as subsequent pH adjustments significantly influenced composition of the extracts in terms of protein content and recovery, amino acids, and phenolic compounds ( < 0.
View Article and Find Full Text PDFSecondary Metabolites from the Mangrove Ecosystem-Derived Fungi spp.: Chemical Diversity and Biological Activity.
Mar Drugs
December 2024
Key Laboratory of Tropical Medicinal Resource Chemistry of Ministry of Education, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, China.
Mangrove ecosystems have attracted widespread attention because of their high salinity, muddy or sandy soil, and low pH, as well as being partly anoxic and periodically soaked by tides. Mangrove plants, soil, or sediment-derived fungi, especially the species, possess unique metabolic pathways to produce secondary metabolites with novel structures and potent biological activities. This paper reviews the structural diversity and biological activity of secondary metabolites isolated from mangrove ecosystem-derived species over the past 5 years (January 2020-October 2024), and 417 natural products (including 170 new compounds, among which 32 new compounds were separated under the guidance of molecular networking and the OSMAC approach) are described.
View Article and Find Full Text PDFSeparation of Short-Chain Fatty Acids from Primary Sludge into a Particle-Free Permeate by Coupling Chamber Filter-Press and Cross-Flow Microfiltration: Optimization, Semi-Continuous Operation, and Evaluation.
Membranes (Basel)
January 2025
DVGW-Research Center at the Engler-Bunte-Institute, Water Chemistry and Water Technology, Karlsruhe Institute of Technology, Engler-Bunte-Ring 9, 76131 Karlsruhe, Germany.
Short-chain fatty acids (SCFAs) are valuable metabolic intermediates that are produced during dark fermentation of sludge, which, when capitalized on, can be used as chemical precursors for biotechnological applications. However, high concentrations of solids with SCFAs in hydrolyzed sludge can be highly detrimental to downstream recovery processes. This pilot-scale study addresses this limitation and explores the recovery of SCFAs from primary sludge into a particle-free permeate through a combination of chamber filter-press (material: polyester; mesh size: 100 µm) and cross-flow microfiltration (material: α-AlO; pore size: 0.
View Article and Find Full Text PDFNew Insights into the Quality Control Strategies of Inula racemosa Hook. F. (Pushkarmula) and Saussurea lappa Decne. (Kuth): Medicinal Crops of Alpine Himalaya.
J Chromatogr Sci
January 2025
Chemical Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, HP, India.
Adulteration and illegal trade of Saussurea lappa in the name of Inula racemosa is a major issue. Therefore, accurate and easy methods are required to control malpractice and define authenticity. The current study is focused on authenticating and defining quality control methods for I.
View Article and Find Full Text PDFLiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise.
Front Plant Sci
January 2025
Research Institute of Forest Policy and Information, Chinese Academy of Forestry, Beijing, China.
The processing of LiDAR point cloud data is of critical importance in the context of forest resource surveys, as well as representing a pivotal element in the realm of forest physiological and ecological studies.Nonetheless, conventional denoising algorithms frequently exhibit deficiencies with regard to adaptability and denoising efficacy, particularly when employed in relation to disparate datasets.To address these issues, this study introduces DEN4, an unsupervised, deep learning-based point cloud denoising algorithm designed to improve the accuracy of single tree segmentation in LiDAR point clouds.
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