Artículo
Classification of monofloral honeys by measuring electrical impedance based on neural networks
Autor/es | González María, Eduardo
Madueño Luna, Antonio ![]() ![]() ![]() ![]() ![]() ![]() Ruiz Canales, Antonio Madueño Luna, José Miguel |
Departamento | Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos Universidad de Sevilla. Departamento de Ingeniería Gráfica |
Fecha de publicación | 2022-08-17 |
Fecha de depósito | 2024-06-11 |
Publicado en |
|
Resumen | The study of electrical impedance applied to food has become a method with great potential for use in the food industry, which allows the monitoring and control of quality processes in a safe and non-invasive way. Recent ... The study of electrical impedance applied to food has become a method with great potential for use in the food industry, which allows the monitoring and control of quality processes in a safe and non-invasive way. Recent research has shown that this technique can be an alternative method to determine the floral origin of the honey bee (Apis mellifera L.) and acquire information on chemical and physical properties such as conductivity, ash content and acidity. In this work, the electrical impedance of six monofloral honey samples from diverse origins and one commercial multi-floral honey were measured using a low-cost impedance meter, obtaining 101 samples (reactance (X) versus resistance (R)), with a frequency sweep between 1 Hz and 25 MHz in all the honeys analyzed. This shows that it is possible, by using a multilayer neural network trained from these data, to classify with 100% accuracy between these honeys and, thereby, quickly and easily determine the floral origin of the honey. This is without the need to use the chemical data or equivalent electrical models. |
Cita | González María, E., Madueño Luna, A., Ruiz Canales, A. y Madueño Luna, J.M. (2022). Classification of monofloral honeys by measuring electrical impedance based on neural networks. Agronomy, 12(8) (1929). https://doi.org/10.3390/agronomy12081929. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Classification of monofloral ... | 2.110Mb | ![]() | Ver/ | |