MODELING AND OPTIMIZATION OF IN SYRINGE MAGNET STIRRING ASSISTED-DISPERSIVE LIQUID-LIQUID MICROEXTRACTION METHOD FOR EXTRACTION OF CADMIUM FROM FOOD SAMPLES BY ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM
For the first time, artificial neural network (ANN) and genetic algorithm (GA) have been employed to modeling and optimization of in syringe magnet stirring assisted dispersive liquid-liquid microextraction (IS-MSA-DLLME) method for extraction of cadmium from food samples and determined by flame ato...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Langue: | English |
| Publié: |
Sociedad Chilena de Química
2016
|
| Sujets: | |
| Accès en ligne: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072016000200024 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|