| Journal: | Brazilian archives of biology and technology |
| Database: | PERIÓDICA |
| System number: | 000388252 |
| ISSN: | 1516-8913 |
| Authors: | Zoldan, Sandra Maria1 Braga, Guilherme de Souza2 Fonseca, Fernando Josepetti2 Carrao-Panizzi, Mercedes Concordia1 |
| Institutions: | 1Empresa Brasileira de Pesquisa Agropecuaria, Centro Nacional de Pesquisa de Trigo, Passo Fundo, Rio Grande do Sul. Brasil 2Universidade de Sao Paulo, Escola Politecnica, Sao Paulo. Brasil |
| Year: | 2014 |
| Season: | Sep-Oct |
| Volumen: | 57 |
| Number: | 5 |
| Pages: | 797-802 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Nota breve o noticia |
| Approach: | Experimental |
| English abstract | An electronic tongue system was tested as a fast and efficient analytical tool for flavor evaluation of soybean genotypes. Grain samples of 25 soybean lines were analyzed using 0.25 g of milled samples added to 100 mL of distilled water and mixing for one minute on a magnetic stirrer. An aliquot (50 mL) from the filtered liquid was used for the analysis on a pre-fixed frequency of 1 kHz and alternate tension of 50 mV. Two analyses were conducted in a complete randomized design with three replicates. Electrical response (capacitance) of eight polymeric chemical sensors used to analyze the soybean lines were submitted to Principal Component Analysis (PCA). In the spatial distribution of the PCA graphic, the lines close to each other were similar, while the distant ones showed different characteristics. The electronic tongue system was efficient in discriminating flavor of soybean lines |
| Disciplines: | Química |
| Keyword: | Química de alimentos, Soya, Genotipos, Aroma, Análisis sensorial, Sensores químicos, Glycine max |
| Keyword: | Chemistry, Food chemistry, Soybean, Genotypes, Aroma, Sensory analysis, Chemical sensors, Glycine max |
| Full text: | Texto completo (Ver HTML) |
