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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.

Effects of Freeze–Thaw Cycles on the Structures and Functional Properties of Clitocybe squamulosa Protein Isolates

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Researchers studied how repeatedly freezing and thawing a protein extract from the edible Clitocybe squamulosa mushroom affects its usefulness in food products. They found that three freeze-thaw cycles improved the protein’s ability to create stable foams and emulsions, while two cycles best preserved digestibility and antioxidant benefits. This simple, chemical-free treatment method could help food manufacturers create better products using mushroom proteins.

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.

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

Effects of Freeze–Thaw Cycles on the Structures and Functional Properties of Clitocybe squamulosa Protein Isolates

Biomimicry in the Context of Stabilised Porous Clays

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