Glyphosate Adsorption on Metal-Organic Framework M3(BTC)2: Mechanistic Insights and Descriptors for the Adsorption Energy from Density Functional Calculations
- PMID: 40978371
- PMCID: PMC12444546
- DOI: 10.1021/acsomega.5c06158
Glyphosate Adsorption on Metal-Organic Framework M3(BTC)2: Mechanistic Insights and Descriptors for the Adsorption Energy from Density Functional Calculations
Abstract
Adsorption-based removal has emerged as an effective strategy for mitigating the harmful impact of glyphosate. Here, the adsorption of glyphosate over the coordinatively unsaturated metal-organic framework (MOF) M3(BTC)2 (M = V, Cr, Mn, Fe, Co, Ni, Cu, Zn) was investigated by means of density functional theory (DFT) calculations. Among the studied MOFs, Zn3(BTC)2 and Ni3(BTC)2 show the highest adsorption energy. The Lewis acidity of the MOFs, as determined by ammonia adsorption, is found to significantly influence glyphosate adsorption. Decomposing the adsorption free energy reveals that the adsorption is dominated by the bond energy. A moderately strong linear correlation between the adsorption energies of glyphosate and ammonia suggests that ammonia adsorption can serve as a descriptor for predicting the glyphosate adsorption energy. To enhance the predictive accuracy, we employed the sure independence screening and sparsifying operator (SISSO) method, which explores a large pool of mathematical combinations of DFT descriptors to identify the most relevant ones. The resulting models enable accurate and transferable prediction of glyphosate adsorption energy.
© 2025 The Authors. Published by American Chemical Society.
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