OPTIMIZING THE REMOVAL OF RHODAMINE B IN AQUEOUS SOLUTIONS BY REDUCED GRAPHENE OXIDE-SUPPORTED NANOSCALE ZEROVALENT IRON (NZVI/RGO) USING AN ARTIFICIAL NEURAL NETWORK-GENETIC ALGORITHM (ANN-GA)

Optimizing the Removal of Rhodamine B in Aqueous Solutions by Reduced Graphene Oxide-Supported Nanoscale Zerovalent Iron (nZVI/rGO) Using an Artificial Neural Network-Genetic Algorithm (ANN-GA)

Rhodamine B (Rh B) is a toxic dye that is harmful to the environment, humans, and animals, and thus the discharge of Rh B wastewater has become a critical concern.In the present study, reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) was used to treat Rh B aqueous solutions.The nZVI/rGO composites were synthesized with the che

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Changes in Growth Parameters, C:N:P Stoichiometry and Non-Structural Carbohydrate Contents of Zanthoxylum armatum Seedling in Response to Five Soil Types

Zanthoxylum armatum (Z.armatum) is an economic crop widely planted for both spice and medicinal Sunshades purposes in Southwest China.Soil is a key environmental condition that affects seedling growth and development, and screening suitable soil types is of great significance for the large-scale cultivation of crops.This study designed growth exper

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