Chemometric approach for discriminating tobacco trademarks by near infrared spectroscopy.


Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 06 06 2018
revised: 02 08 2018
accepted: 22 10 2018
pubmed: 18 11 2018
medline: 5 3 2019
entrez: 17 11 2018
Statut: ppublish

Résumé

Cigarettes are consumer products with a broad market-driven orientation. In order to satisfy the different needs of smokers, cigarette trademarks with different aroma, taste and appearance are available on the market. In this study near infrared (NIR) spectroscopy in combination with chemometrics was applied in order to distinguish cigarette trademarks by analysing the tobacco. Calibration models were developed to differentiate three tobacco trademarks and their respective producers. The developed models also allowed the discrimination of the tobacco according to their geographical origin and may serve as a tool for the detection of counterfeit tobacco.

Identifiants

pubmed: 30445250
pii: S0379-0738(18)30960-5
doi: 10.1016/j.forsciint.2018.10.016
pmc: PMC6328707
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15-20

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Références

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pubmed: 20554412
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pubmed: 20934808
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Auteurs

Jone Omar (J)

European Commission, Directorate-General Joint Research Centre, Directorate F - Health, Consumers and Reference Materials, Retieseweg 111, 2440 Geel, Belgium.

Boleslaw Slowikowski (B)

European Commission, Directorate-General Joint Research Centre, Directorate F - Health, Consumers and Reference Materials, Retieseweg 111, 2440 Geel, Belgium.

Ana Boix (A)

European Commission, Directorate-General Joint Research Centre, Directorate F - Health, Consumers and Reference Materials, Retieseweg 111, 2440 Geel, Belgium. Electronic address: ana.boix-sanfeliu@ec.europa.eu.

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Classifications MeSH