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Zoekresultaten - 5 results

Multidimensional chromatographic fingerprinting combined with chemometrics for the identification of regulated plants in suspicious plant food supplements

explored: (a) binary modelling and (b) multiclass modelling. The correct classification rate % (ccr%) for cross validation, modelling and external test prediction were used to select the optimal model for ...

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 ...

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  ...

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