Nanomaterial Texture-Based Machine Learning of Ciprofloxacin Adsorption on Nanoporous Carbon.

ABSTRACT: Drug substances in water bodies and groundwater have become a significant threat to the surrounding environment. This study focuses on the ability of the nanoporous carbon materials to remove ciprofloxacin from aqueous solutions under specific experimental conditions and on the development of the mathematical model that would allow describing the molecular interactions of the adsorption process and calculating the adsorption capacity of the material. Thus, based on the adsorption measurements of the 87 carbon materials, it was found that, depending on the porosity and pore size distribution, adsorption capacity values varied between 55 and 495 mg g^-1. For a more detailed analysis of the effects of different carbon textures and pores characteristics, a Quantitative nano-Structure

SUBMITTER: Kaarik M 

PROVIDER: S-EPMC11546269 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature