Detalhes bibliográficos
| Autor(a) principal: |
Silva,Amanda C. |
| Data de Publicação: |
2019 |
| Outros Autores: |
Pinto,Licarion,
Gomes,Adriano A.,
Araujo,Mario C. U. |
| Tipo de documento: |
Artigo
|
| Idioma: |
eng |
| Título da fonte: |
Journal of the Brazilian Chemical Society (Online) |
| Texto Completo: |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000200398
|
Resumo: |
Benzo[a]pyrene (BaP) is often used as a marker of polycyclic aromatic hydrocarbons (PAHs) in beverages. This marker is often quantified by chromatographic methods, which require sample preparations involving the use of reagents, solvents, extraction, pre-concentration, and/or cleanup steps. In this study, a new method for quantification of BaP in cachaças (liquors) that does not use any sample preparation was developed. Interferents in cachaças were overcome using excitation-emission matrices data modeling with parallel factor analysis (PARAFAC). The recoveries ranged from 93.20 to 101.13%, and the relative error of prediction and limit of detection were, respectively, estimated at 2.66% and 2.88 ng mL-1. The proposed method is inexpensive and less time consuming than other approaches described in the literature, uses no reagents, solvents or extraction, has no pre-concentration or cleanup steps, contributing to green analytical chemistry. |