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http://hdl.handle.net/10662/22303
Títulos: | Acrylamide–Fat Correlation in Californian-Style Black Olives Using Near-Infrared Spectroscopy |
Autores/as: | Fernández Fuentes, Antonio Montero Fernández, Ismael Monago-Maraña, Olga Martín Tornero, Elísabet Martín Vertedor, Daniel |
Palabras clave: | Aceituna de mesa;Acrilamida;NIRS;Table olive;Aacrilamide;Fat;Sterilization |
Fecha de publicación: | 2023 |
Editor/a: | Multidisciplinary Digital Publishing Institute (MDPI) |
Resumen: | Californian-style is one of the most important black table olive elaborations. During its processing, table olives produce acrylamide, a potential carcinogen compound generated during sterilization. In the present study, total fat and acrylamide content in Californian-style table olives were determined and a regression between them was performed (acrylamide concentration range: below limit of detection—2500 ng g1 and 8–22% for total fat). Nowadays, there are fast and efficient new techniques, such as Near-Infrared Spectroscopy (NIRS) to measure fat content parameters. In that sense, NIRS was used to perform a fat content quantification model in olives in order to indirectly determine acrylamide content. Calibration models for fat quantification were obtained in defatted olive pastes from a unique variety and for olive pastes from different varieties. In the first case, best results were obtained since only one variety was used (R2 = 0.9694; RMSECV = 1.31%; and REP = 8.4%). However, in the second case, results were still acceptable R2 = 0.678, RMSECV = 2.3%, REP = 17.7% and RMSEV = 2.17%. Regression coefficients showed the most influence variables corresponded with fat. The determination coefficient for the fat and acrylamide correlation was high (r = 0.877), being an efficient approach to find out the contribution of fat degradation to acrylamide synthesis in table olives. |
URI: | http://hdl.handle.net/10662/22303 |
DOI: | 10.3390/chemosensors11090491 |
Colección: | DIAYF - Artículos DQUAN - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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chemosensors11090491.pdf | 2,17 MB | Adobe PDF | Descargar |
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