In collaboration with Payame Noor University and Iranian Chemical Science and Technologies Association
Application of Artificial Neural Network Modeling in Prediction of The Extraction Yield of Copper-Morin Complex from Aqueous Media Utilizing a Molecularly Imprinted Polymer Coated Stir Bar

Sayyed Hossein Hashemi; Massoud Kaykhaii; Mohamad Shakeri

Volume 7, Issue 1 , March 2020, , Pages 78-87

https://doi.org/10.30473/ijac.2020.51710.1167

Abstract
  In this research, a new modeling method based on three-layer artificial neural network (ANN) technique was applied to predict the extraction yield of copper-morin complex from aqueous samples by means of molecularly imprinted stir bar sorptive extraction. Input variables of the model were pH of the solution, ...  Read More

Determination of Diazinon in Environmental Samples Using Modified Multi-Walled Carbon Nanotubes as Pipette-Tip Solid Phase Extraction Sorbent

Mohammad Reza Rezaei Kahkha; Massoud Kaykhaii; Mahdi Shafee-Afarani; Batool Rezaei Kahkha

Volume 4, Issue 2 , September 2017, , Pages 10-16

Abstract
  In this work, a microextraction technique based on pipette tip solid-phase extraction was used for preconcentration and determination of diazinon. Carbon nanotube functionalized by zinc sulfide and ethylene glycol was used as sorbent. Determination of diazinon was performed using high performance liquid ...  Read More