Work

Unraveling the adsorption potential of Zr dithiol (MOF-DSH) through experimentation and neural network modeling

Year: 2025

Type: article

Abstract: at pH 6. The adsorption behavior was well described by the Langmuir model and the pseudo-second order (PSO) kinetics, confirming the involvement of a monolayer with chemisorption as the dominant mode of adsorption. The synthesized MOF could be reused at least 4 times while retaining ∼80% of its initial adsorption capacity. FT-IR, XPS, and pH studies after Cd(ii) adsorption revealed that the predominant mode of interaction of Cd(ii) with the MOF is an ion-exchange mechanism. An artificial neural network-based (ANN) methodology was employed to model the adsorption capacity of Cd(ii) and predict the adsorption capacity as a function of Cd(ii) concentration, time of contact, and pH of the medium. The model demonstrated excellent results, with an average error of 2.3% and precision of 3.0%. The outcomes of these studies were consistent with the experimental results.

Source: RSC Advances

DOI: 10.1039/d5ra00002e

Authors: Nitin Gumber, Buddhadev Kanrar, Jaspreet Singh, Jitendra Bahadur, Rajesh V. Pai

Institutions: Bhabha Atomic Research Centre, Homi Bhabha National Institute

Language: English

Topic: Adsorption and biosorption for pollutant removal

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Estimated APC paid: $1,042