Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid- and Near-Infrared Spectroscopy Coupled with Chemometrics

<div>Dummy vectors (G01, G02, G03, G04, G05, G06, G07, G08, G09, G10, G11, G12) of PLSDA for 12 famous green tea samples with different species and grades: (a) 88 training samples from MIR PLSDA model; (b) 32 prediction samples from MIR PLSDA model; (c) 88 training samples from NIR PLSDA model; (d) 32 prediction samples from NIR PLSDA model.</div>

Journal of Analytical Methods in Chemistry

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Figure 2: Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid- and Near-Infrared Spectroscopy Coupled with Chemometrics 

Figure 2 | Simultaneous Recognition of Species, Quality Grades, and Multivariate Calibration of Antioxidant Activities for 12 Famous Green Teas Using Mid- and Near-Infrared Spectroscopy Coupled with Chemometrics 