| Journal: | Brazilian journal of chemical engineering |
| Database: | PERIÓDICA |
| System number: | 000308909 |
| ISSN: | 0104-6632 |
| Authors: | Ferreira, L.S1 Souza-Junior, M.B Trierweiler, J.O2 Hitzmann, B3 Folly, R.O.M |
| Institutions: | 1Universidade Federal do Rio de Janeiro, Escola de Quimica, Rio de Janeiro. Brasil 2Universidade Federal do Rio Grande do Sul, Departamento de Engenharia Quimica, Porto Alegre, Rio Grande do Sul. Brasil 3University of Hannover, Institute for Technical Chemistry, Hannover, Niedersachsen. Alemania |
| Year: | 2003 |
| Season: | Mar |
| Volumen: | 20 |
| Number: | 1 |
| Pages: | 7-13 |
| Country: | Brasil |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Experimental |
| English abstract | Whey is an abundant effluent in the production of cheese and casein. The biotechnological utilization of this economically important and nutritive source is limited mainly because of the presence of high percentages of lactose. This disaccharide has poor solubility, which can cause crystallization and insufficient sweetness in dairy food; additionally, part of the adult population suffers from associated lactose intolerance diseases. There are several methods to determine lactose such as spectrophotometry, polarimetry, infrared spectroscopy, titrimetry and chromatography. However these methods are tedious and time-consuming due to long sample preparation. These disadvantages stimulated the development of an enzymatic lactose biosensor. It employs two immobilized enzymes, beta-galactosidase and glucose oxidase and the quantitative analysis of lactose is based on determination of oxygen consumption in the enzymatic reaction. The influence of temperature on the biosensor signal was experimentally studied. It was observed that a nonlinear relationship exists between the electric response of the biosensor - provided by CAFCA (Computer Assisted Flow Control & Analysis - ANASYSCON, Hannover) - and lactose concentration. In this work, attempts were made to correlate these variables using a simple nonlinear model and multilayered neural networks, with the latter providing the best modeling of the experimental data |
| Disciplines: | Química |
| Keyword: | Química de alimentos, Lactosa, Suero de leche, Biotecnología |
| Keyword: | Chemistry, Food chemistry, Lactose, Whey, Biotechnology |
| Full text: | Texto completo (Ver HTML) |
