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    Hyperspectral Imaging for the Dynamic Mapping of Total Phenolic and Flavonoid Contents in Microgreens by Pawita Boonrat, Manish Patel, Panuwat Pengphorm, Preeyabhorn Detarun, Chalongrat Daengngam

    Published 2025-04-01
    “…The variation in trait and spectral data among the collected samples was sufficient to develop models predicting the TPC and TFC content. K-nearest neighbours provided the highest predictive accuracy for TPC (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> = 0.95 and 1.6 mg GAE/100 g) and ridge regression performed best for TFC (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> = 0.97 and 6.1 mg QE/100 g). …”
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