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Steam explosion (SE) was a friendly environmentally pretreatment method. In this study, the effect of steam explosion (SE) pretreatment on structure and α-glucosidase inhibitory activity of Ampelopsis grossedentata polysaccharides was evaluated. Two novel polysaccharides (AGP and AGP-SE) were extracted, isolated, purified and analyzed by NMR, FT-IR and methylation. The results indicated that AGP mainly consisted of Rha, Xyl, Glc, and Ara with a molecular weight of 2.74 × 10 kDa and AGP-SE mainly consisted of Man, Ara, and Gal with a molecular weight of 2.14 × 10 kDa. Furthermore, the backbone of AGP and AGP-SE were mainly composed of 5)-Araf-(1→, -Glcp-(1→, 6)-Glcp-(1→, 6)-Galp-(1→, 3,6)-Manp-(1→, and 2,3,6)-Glcp-(1→. Finally, we demonstrated that all polysaccharides exhibited obviously α-glucosidase inhibition activity and mixed type inhibition. AGP-SE had better α-glucosidase inhibition activity and the binding affinity KD on α-glucosidase by using Surface Plasmon Resonance (SPR) than AGP. Overall, SE pretreatment is an effective method for extracting polysaccharide and provides a new idea into the improvement of biological activity.
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http://dx.doi.org/10.1016/j.ijbiomac.2021.06.002 | DOI Listing |
Int J Biol Macromol
September 2025
National Center of Technology Innovation for Grain Industry (Comprehensive Utilization of Edible By-products), Beijing Technology & Business University, 100048, Beijing, China.; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beij
This study investigated the effects of steam exploration on soybean insoluble dietary fiber (U-IDF and M-IDF), and characterized the resulting stabilized Pickering emulsion. The particle size, ΔE, and water/oil holding capacity of M-IDF decreased, while its absolute value of zeta potential and contact angle increased. Significant changes in the intensities of the functional groups (-OH and CO) were observed in the Fourier transform infrared (FTIR) spectra of M-IDF.
View Article and Find Full Text PDFInsects
August 2025
Faculty of Mechanical and Process Engineering, Hochschule Offenburg, 77652 Offenburg, Germany.
Nowadays, insects are reared for food and feed. This idea includes the rearing of yellow mealworm ( L.).
View Article and Find Full Text PDFFoods
August 2025
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Plant-sourced Dietary Fibers (PDFs) have garnered significant attention due to their multifaceted health benefits, particularly in glycemic control, lipid metabolism regulation, and gut microbiota modulation. This review systematically investigates advanced modification strategies, including physical, chemical, bioengineering, and hybrid approaches, to improve the physicochemical properties and bioactivity of PDFs from legumes, cereals, and other sources. Key modifications such as steam explosion, enzymatic hydrolysis, and carboxymethylation significantly improve solubility, porosity, and functional group exposure, thereby optimizing the health-promoting effects of legume-sourced dietary fiber.
View Article and Find Full Text PDFBioresour Technol
December 2025
Department of Agronomy & Plant Breeding, Justus Liebig University Giessen, Giessen, Germany. Electronic address:
Biochar has potential applications in steelmaking processes, but faces technical challenges such as low material density, high alkali content, and high reactivity compared to coal. This study explores converting the solid residue, following hydrothermal pretreatment-steam explosion (HTP-SE) of Miscanthus and other biomass feedstocks, into biochar to facilitate the replacement of coal in blast furnace and electric arc furnace operations. It is the first to demonstrate the enhanced combustion characteristics of pretreated fibre and the compatibility of the biochar for use in steelmaking.
View Article and Find Full Text PDFACS Catal
August 2025
The NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, Berlin 14195, Germany.
Describing heterogeneous catalysis is complicated by the intricate interplay of processes that govern catalyst performance. The evolving chemical environment and the kinetics of catalyst's structural changes during reactions often lead to unknown local geometries and chemistry, which can shift reactivity over time. Here, we perform systematic experiments and apply a focused artificial-intelligence (AI) approach to model the measured time-on-stream-dependent reactivity of palladium-based bimetallic catalysts.
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