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Effective Regulation of ZnO Surface Facets for Enhanced Photoluminescence Properties Assisted by Zinc Quaternary Ammonium Salts

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Researchers developed a simple method to create special zinc oxide (ZnO) structures shaped like mushrooms with enhanced light-emitting properties. By adjusting the ratio of methanol to water in a heating process and using a special zinc-based chemical as a building block controller, they achieved structures with specific crystal surface exposures. These twined-mushroom structures showed significantly brighter light emission, making them promising candidates for use in light-emitting devices that require single-color output.

Bioinformatics-aided identification, characterization and applications of mushroom linalool synthases

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Scientists discovered a special enzyme from mushrooms that efficiently produces linalool, a fragrance ingredient found in most perfumes and cosmetics. This fungal enzyme is much more efficient and selective than similar enzymes from plants or bacteria, making it ideal for mass-producing natural linalool through fermentation. The study used advanced computer analysis to identify the enzyme and revealed specific parts of the enzyme responsible for its excellent performance, which could help design even better enzymes in the future.

High-Resolution Core Gene-Associated Multiple Nucleotide Polymorphism (cgMNP) Markers for Strain Identification in the Wine Cap Mushroom Stropharia rugosoannulata

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Scientists developed a new genetic tool called cgMNP markers to accurately identify different strains of wine cap mushrooms (Stropharia rugosoannulata). By analyzing the DNA of 105 mushroom strains collected from across China, they discovered that a single gene containing 865 genetic variations was sufficient to distinguish between all cultivated varieties. This breakthrough provides a practical way for mushroom farmers and researchers to identify specific strains quickly, which is important for breeding better mushrooms and maintaining quality in commercial production.

Growth Propagation of Liquid Spawn on Non-Woven Hemp Mats to Inform Digital Biofabrication of Mycelium-Based Composites

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Researchers developed a method to grow mushroom mycelium (fungal threads) in liquid form and apply it to hemp mats to create sustainable building materials. By testing different growth conditions and concentrations, they found ways to control how fast the mycelium spreads and covers the surface. This liquid-based approach offers advantages over traditional methods because it allows for more precise application and better control of material properties.

Diverse nitrogen acquisition strategies of conifer-associated ectomycorrhizal fungi shape unique responses to changing nitrogen regimes

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This research examines how different types of mushroom fungi that partner with conifer trees acquire nitrogen in different ways. Using genomic analysis, lab experiments, and historical mushroom samples from the past 60 years, scientists found that even closely related fungal species have distinct strategies for obtaining nitrogen from different sources. These findings suggest that coniferous forests may respond quite differently to changes in nitrogen availability compared to forests with broadleaf trees.

3D printed gyroid scaffolds enabling strong and thermally insulating mycelium-bound composites for greener infrastructures

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Scientists developed a new eco-friendly building material made from mushroom mycelium grown on 3D-printed scaffolds. This material is as strong as traditional bricks, provides excellent insulation like foam, resists fire better than conventional materials, and is completely compostable. The innovation could help reduce carbon emissions from construction by replacing harmful petroleum-based and energy-intensive traditional building materials.

Biomimicry in the Context of Stabilised Porous Clays

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Researchers developed a new way to strengthen loose soil by mimicking how fungi naturally stabilize soil in nature. Instead of compacting soil (which reduces its ability to support plant growth and fluid movement), they treat it with a waste product from sugar refineries mixed with a binding agent. The treated soil becomes stronger and stiffer while remaining porous and loose, maintaining its ability to support ecosystem functions while meeting engineering requirements.

Hybrid Deep Learning Framework for High-Accuracy Classification of Morphologically Similar Puffball Species Using CNN and Transformer Architectures

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Scientists developed an artificial intelligence system that can automatically identify eight different types of puffball mushrooms from photographs with 95% accuracy. The study compared five different AI models and found that a modern convolutional neural network called ConvNeXt-Base was the best at telling apart puffball species that look very similar to each other. This technology could help amateur mushroom enthusiasts, researchers, and nature conservationists accurately identify these fungi without needing a microscope or laboratory tests.

Current taxonomic status of the cultivable and uncultivable Paracoccidioides species

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Researchers have clarified the scientific names and classification of five species of fungus that cause disease in humans and dolphins. Some previously proposed species names were found to be invalid because they didn’t follow proper naming rules. The paper recommends that scientists use updated disease names like paracoccidiodomycosis instead of the older term lobomycosis to maintain consistency in medical terminology.

therapeutic action: Not applicable