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Zoekresultaten - 5 results
Mass Spectrometric Fingerprinting to Detect Fraud and Herbal Adulteration in Plant Food Supplements
external test set. Confusion matrices were constructed to provide insight into the modeling predictions. A complimentary evaluation between data obtained using a previously developed Diode Array Detection ...
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
of 92 % (for the benchtop) and 93 % (for the handheld device), meaning that 51 of the 56 samples and 52 of 56 samples in the external test set are correctly classified as recreational drug, industrial ...