polysaccharide detection

Polysaccharide prediction in Ganoderma lucidum fruiting body by hyperspectral imaging

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Researchers developed a quick, damage-free method to measure the health-promoting polysaccharide content in Ganoderma lucidum mushrooms using special imaging technology that analyzes light reflection. This technology combines visible and near-infrared light imaging with computer learning to predict polysaccharide levels across the entire mushroom cap. The method achieved 92.4% accuracy and could help mushroom farmers determine the best time to harvest for maximum nutritional value.

Evaluating the Potential of Galactosaminogalactan as a Diagnostic Target for Invasive Aspergillosis

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Researchers developed a new test to detect Aspergillus fungal infections using an antibody that recognizes a fungal component called GAG. The test worked very well in mouse studies, reliably detecting the fungus in blood and other body fluids. However, when tested with samples from infected patients, the test could not find GAG in the blood or other fluids, though it could see the fungus in lung tissue. This suggests either patients don’t produce enough GAG in their bloodstream, or something in human biology interferes with detection.

Research Topic: polysaccharide detection

Polysaccharide prediction in Ganoderma lucidum fruiting body by hyperspectral imaging

Evaluating the Potential of Galactosaminogalactan as a Diagnostic Target for Invasive Aspergillosis