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May 30
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Spectroscopic Analysis in Rare Earth Element Detection

This article highlights spectroscopic analysis in rare earth detection, focusing on its speed, sensitivity, and multi-element capabilities. It showcases key techniques and industrial applications, underscoring their role in advancing the rare earth industry's digital transformation.

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May 29
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Spectral Analysis: Revolutionizing Rosewood Identification

High-resolution spectral fingerprinting enables non-destructive authentication of endangered rosewood (Pterocarpus santalinus) versus African padauk imitations, achieving 96% accuracy via BPNN classification models analyzing critical 866-2533 nm biomarkers for species verification and global timber fraud prevention.

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May 26
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Spectroscopic Methods for Quality Monitoring in High-Oil Soybean Storage

Non-destructive spectroscopic methods enable real-time monitoring of high-oil soybean storage quality, detecting fatty acid oxidation (0.05 mg/g sensitivity) and mold contamination (99.2% accuracy) within seconds. AI-driven systems and multi-spectral fusion enhance precision, reducing waste and supporting food security initiatives.

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May 14
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Application of Spectrometer in Potato Late Blight Research

 This study employs fiber optic spectrometers (e.g., Optosky ATP2000) for rapid, non-invasive monitoring of peroxidase activity in potato leaves, enabling pre-symptomatic detection of Phytophthora infestans infection within 24 hours. Spectral analysis correlates disease severity with diffuse reflectance changes, supporting precision agriculture for sustainable potato cultivation.

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Apr 28
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VIS-NIR Spectroscopy for Ripeness Detection in Table Grapes

This study employs Vis-NIR spectroscopy for rapid, eco-friendly ripeness assessment by analyzing phenolic compounds in grape skins/seeds. High-accuracy models (R²>0.90) predict total phenolics and tannins, enabling non-destructive quality evaluation and maturity monitoring for fresh consumption or processing applications.

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