VIS-NIR Modeling of Hydrangenol and Phyllodulcin Contents in Tea-Hortensia (Hydrangea macrophylla subsp. serrata)

Hyperspectral data are commonly used for the fast and inexpensive quantification of plant constituent estimation quality control as well in research development applications. Based on chemical analysis, different models dihydroisocoumarins (DHCs), namely hydrangenol (HG) phyllodulcin (PD), were built using a partial least squares regression (PLSR). While HG is common Hydrangea macrophylla, PD only occurs cultivars macrophylla subsp. serrata, also known ‘tea-hortensia’. content varies significantly over course growing period. For maximizing yield, targeted needed. Nowadays, DHC contents determined via UPLC, time-consuming destructive method. In this article we investigated PLSR-based three spectrometers. Two separate trials conducted to test model quality. Measurement conditions, fresh or dried leaves black white background, did not influence highly accurate modeling single plants was possible, determination mean larger scale successful. The results study show that hyperspectral decision support farmers feasible provides field scale.