Artificial neural network model of the capacity of diethylenetriamine functionalised zinc oxide-apricot stone shell nanocomposite for sequestering 2,4-dichlorophenoxyacetic acid from wastewater | Synapse
March 18, 2026Open Access
Artificial neural network model of the capacity of diethylenetriamine functionalised zinc oxide-apricot stone shell nanocomposite for sequestering 2,4-dichlorophenoxyacetic acid from wastewater
Key Points
This research aims to develop a nanocomposite for removing 2,4-dichlorophenoxyacetic acid from wastewater.
Synthesis of diethylenetriamine functionalized zinc oxide-apricot stone shell nanocomposite
Application of artificial neural network modeling for efficiency evaluation
The nanocomposite effectively sequesters 2,4-D from wastewater
Demonstrated high efficiency in removal rates under controlled conditions
Abstract
A novel nanocomposite, diethylenetriamine functionalised zinc oxide-apricot stone shell (ZnO@Ap/DETA), has been synthesised for the efficient sequestration of 2,4-dichlorophenoxyacetic acid (2,4-D).