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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Capillary electrophoresis in association with chemometrics approach for bitterness hop (Humulus lupulus L.) classification

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Autor(es):
Duarte, Lucas Mattos [1] ; Cantarino Adriano, Luiz Henrique [1] ; Leal de Oliveira, Marcone Augusto [1]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Fed Juiz de Fora, GQAQ, Dept Chem, Inst Exact Sci, BR-36036330 Juiz De Fora, MG - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: ELECTROPHORESIS; v. 39, n. 11, p. 1399-1409, JUN 2018.
Citações Web of Science: 1
Resumo

The precursor compounds related to the bitterness of beer are called -acids. These compounds are extracted from the hop, which is an important ingredient in the brewing process. These compounds were analyzed by capillary electrophoresis. The electrophoretic method used 160mmol/L of ammonium carbonate (pH 9) as BGE (background electrolyte), a voltage of +20kV in a capillary with 50m of internal diameter and with a 62.5cm of total length (54cm effective). The samples were injected in hydrodynamic mode applying a pressure of 25mbar for 5s and the analytes were detected at 230nm. A hydromethanolic extraction during 3 h was considered as the optimum condition for the sample preparation using MeOH/H2O 80:20 v/v as the extract solution. From the optimized conditions the electropherograms were evaluated for their use as input for chemometric modeling. Preprocessing investigation for electrophoretic data taking into account the alignment, denoising and baseline correction, and variable selection were considered before the chemometric modeling using principal component analysis (PCA). The electrophoretic data were systematically evaluated to find the optimum conditions to modeling. A PCA analysis for all tests was carried out using different preprocessing methods and, an explained variance higher than 90% was achieved in all of them. The optimized chemometric method worked with aligned and meancentered data. From this approach, a simple and efficient method to classify hop samples with high and low -acids content without the use of analytical standards was established from a simple electrophoretic analysis. (AU)

Processo FAPESP: 14/50867-3 - INCT 2014: Instituto Nacional de Ciência e Tecnologia de Bioanalítica
Beneficiário:Lauro Tatsuo Kubota
Linha de fomento: Auxílio à Pesquisa - Temático