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COMBINATION OF CHEMOMETRICS AND MULTIDIMENSIONAL FINGERPRINTING FOR DETECTION OF REGULATED PLANTS IN PLANT FOOD SUPPLEMENTS
square – discriminate analysis. A minimum of 86% correct classification rate for external test set validation (17 sample for binary dataset and 59 samples for multiclass dataset) was observed for all ...
Multidimensional Chromatographic Fingerprinting Combined with Chemometrics for the Identification of Regulated Plants in Suspicious Plant Food Supplements.
DA) through (a) binary modelling and (b) multiclass modelling. The correct classification rates (ccr%) by cross-validation, modelling, and external test set validation were satisfactory for both ...
Relative response factors and multiple regression models in liquid chromatography to quantify low-dosed components using alternative standards-proof of concept: total Δ9-THC content in cannabis flowers using CBD as reference.
was used as a case study. A chromatographic method was implemented and validated, and the use of classical calibration lines, classical RRF, and the LRRFM was applied and compared, with special focus on ...
Use of near infrared spectroscopy and chemometrics for the classification of different Cannabis spp. samples found in Belgium
GC- FID for total-tetrahydrocannabinol detection and quantification with an officially validated method. The analysis of these products was performed by FT- NIR spectrometer (spectra were recorded in ...