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From inspection to analysis: A combined approach to identifying counterfeit whiskeys using HS-GC-FID and bottle integrity.
Bigão, Vítor Luiz Caleffo Piva; da Costa, Bruno Ruiz Brandão; Gomes, Nayna Cândida; Santos Júnior, Wilson José Ramos; Marinho, Pablo Alves; De Martinis, Bruno Spinosa.
Affiliation
  • Bigão VLCP; School of Pharmaceutical Sciences of Ribeirão Preto, Ribeirão Preto, São Paulo 14040-093, Brazil. Electronic address: vitor.bigao@usp.br.
  • da Costa BRB; School of Pharmaceutical Sciences of Ribeirão Preto, Ribeirão Preto, São Paulo 14040-093, Brazil.
  • Gomes NC; School of Pharmaceutical Sciences of Ribeirão Preto, Ribeirão Preto, São Paulo 14040-093, Brazil.
  • Santos Júnior WJR; School of Pharmaceutical Sciences of Ribeirão Preto, Ribeirão Preto, São Paulo 14040-093, Brazil.
  • Marinho PA; Instituto de Criminalística, Polícia Civil do Estado de Minas Gerais, Belo Horizonte, Minas Gerais 30190-002, Brazil.
  • De Martinis BS; Department of Chemistry, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, Ribeirão Preto, São Paulo 14040-091, Brazil.
Forensic Sci Int ; 357: 111977, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38503039
ABSTRACT
Counterfeiting of alcoholic beverages, particularly high-value spirits such as whiskey, presents significant challenges for regulators, manufacturers, and consumers. In this study, we introduce and validate a novel application of headspace extraction (HS) followed by gas chromatography with flame ionization detection (GC-FID) for the quantitative determination of ethanol content in 42 suspected counterfeit brazilian samples of whiskeys. This method, in conjunction with visual inspection of material inconsistencies, offers a combined approach to identify potential cases of fraud. The HS-GC-FID findings revealed that only 19% of the analyzed samples had ethanol content in the limits declared on the label, emphasizing the role of ethanol content as a chemical marker for suspected beverage fraud.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Forensic Sci Int Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Forensic Sci Int Year: 2024 Document type: Article