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This study developed a hybrid variable selection strategy for the quantitative analysis of polyphenols in Lonicera caerulea using mid-infrared spectroscopy, achieving significant dimensionality reduction and improved prediction accuracy. A total of 191 samples were analyzed, and the optimized XGBoost model demonstrated high performance with R2 = 0.92 and RPD = 3.47, outperforming traditional methods. The findings highlight the effectiveness of the proposed approach in addressing challenges associated with h

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남연식

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EN