Modeling of solid-phase tea waste extraction for the removal of manganese and cobalt from water samples by using PSO-artificial neural network and response surface methodology

Modeling of solid-phase tea waste extraction for the removal of manganese and cobalt from water samples by using PSO-artificial neural network and response surface methodology

The aim of this research was to develop a low price adsorbent with the abundant of source to remove manganese and cobalt from water samples. Tea waste solid-phase extraction coupled with flame atomic absorption spectrometry (FAAS) was used for the extraction and determination of manganese and cobalt...

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Bibliographic Details
Main Authors: Mostafa Khajeh, Ali Sarafraz-Yazdi, Afsaneh Fakhrai Moghadam
Format: Article
Language:English
Published: Elsevier 2017-05-01
Series:Arabian Journal of Chemistry
Subjects:
Manganese
Cobalt
Tea waste
Artificial neural network
Particle swarm optimization
Response surface methodology
Online Access:http://www.sciencedirect.com/science/article/pii/S1878535213001755

Internet

http://www.sciencedirect.com/science/article/pii/S1878535213001755

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