Résultats de la recherche - 7 results

The analysis of cannabinoids in e-cigarette liquids using LC-HRAM-MS and LC-UV.

e-liquids, however these results indicate that quality controls are pertinent especially concerning the discrepancy in CBD label accuracy. Health Topics:  E-cigarette E-sigaret E-cigarette Service:  ...

Spectroscopic approaches for conformity analysis of e-liquids

squares-discriminant analysis (PLS- DA) and soft independent modelling by class analogy (SIMCA), was used to classify samples according to the presence of nicotine and/or the targeted additives. The results allowed to ...

Identification of flavouring substances of genotoxic concern present in e-cigarette refills

induced gene mutations and chromosome damage in vitro, whereas equivocal results were obtained for the fourth compound. Thus, although there is a legislative framework which excludes the use of CMR ...

Impact of the revised European Tobacco Product Directive on the quality of e-cigarette refill liquids in Belgium

caffeine and taurine, and the flavours diacetyl and acetylpropionyl.   Results: Although not all manufacturers manage to produce and label their products accurately, nicotine labelling discrepancies have ...

Development of a sample preparation method for the GC-analysis of e-cigarette refill liquids

glycol and glycerol matrix. The e-liquid matrix is viscous and greasy which may result in a faster deterioration of the GC-columns and deactivate the interaction with the active groups. To overcome this ...

Genotoxic evaluation of the liquids present in electronic cigarettes

vitro or in vivo data (i.e. Ice Ice Baby, Candy Shop) were studied in the Ames test and the in vitro micronucleus test. [Results and discussion]   Based on the predictions obtained with the in silico ...

Discriminating nicotine and non-nicotine containing e-liquids using infrared spectroscopy.

combined with the appropriate chemometric techniques. The presented techniques do not need sample preparation and result in models with a minimum of false negative samples. If a large enough training set can ...

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