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- W2894212740 abstract "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 cachacas (liquors) that does not use any sample preparation was developed. Interferents in cachacas 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." @default.
- W2894212740 created "2018-10-05" @default.
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- W2894212740 date "2018-01-01" @default.
- W2894212740 modified "2023-09-24" @default.
- W2894212740 title "Green Chemistry Method Based on PARAFAC EEM Data Modeling for Benzo[a]pyrene Quantitation in Distilled Spirit" @default.
- W2894212740 doi "https://doi.org/10.21577/0103-5053.20180189" @default.
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