Research Topic: spectroscopy

Polysaccharide prediction in Ganoderma lucidum fruiting body by hyperspectral imaging

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.

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Application of ATR-FTIR and FT-NIR spectroscopy coupled with chemometrics for species identification and quality prediction of boletes

Researchers developed a fast and non-destructive method to identify different types of edible boletes and assess their nutritional quality by analyzing their amino acid content. Using special spectroscopy techniques combined with computer analysis, they achieved perfect accuracy in identifying five bolete species and could predict the amino acid content that contributes to flavor and nutrition. This breakthrough provides consumers with better protection against accidentally purchasing toxic mushroom species that look similar to edible ones, while helping food producers quickly assess quality without lengthy lab testing.

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