<p>Here, we introduce cyclic voltammetry (CV) as a rapid electrochemical screening tool for probing ligand-driven transformations and assessing the stability of MIL–88B(Fe) metal–organic framework and its Fe<sub>3</sub>O<sub>4</sub>-containing composites. The systems were investigated at pH 7.4 and 4.5 (PBS and NaOAc buffers) to simulate healthy extracellular tissue versus acidic tumor microenvironments, in the presence of ascorbic acid (AA) and humic acids (HA). At pH 7.4, both Fe<sub>3</sub>O<sub>4</sub> and MIL–88B exhibit weak, irreversible reduction near −0.6&#xa0;V (vs RHE), confirming structural stability and negligible iron solubilization. AA plays a dual role: it promotes Fe<sub>3</sub>O<sub>4</sub> dissolution through reductive iron–ascorbate complexation, yet passivates the MIL–88B framework against iron leaching via surface ligand exchange. In contrast, HA moderates these interactions by attenuating redox current densities—an effect attributed to the formation of a hydrophobic interfacial barrier that restricts ion migration and suppresses desorption of iron–ascorbate species—consistent with recent insights into macromolecular organic layers under electric fields. Under acidic conditions (pH 4.5), all systems show increased electrochemical activity indicative of proton-assisted destabilization. Notably, the Fe<sub>3</sub>O<sub>4</sub>–MIL–88B composite exhibits superior resistance to degradation compared to its individual components. This stabilizing effect arises from restricted accessibility of the iron center and reduced ion diffusion within MOF pores, coupled with the active redox participation of Fe<sub>3</sub>O<sub>4</sub> rather than its passive role as a conductive support. Overall, CV is established as a powerful descriptor of iron speciation and interfacial dynamics. By distinguishing between surface-confined ligand exchange, breathing (indirectly via diffusion kinetics), and bulk structural rearrangement, our work provides an efficient, predictive framework for screening functional nanomaterials as an alternative to protracted conventional stability assays.</p>

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Cyclic voltammetry as a rapid descriptor of ligand-driven transformations and interfacial stability in MOF-based nanocomposites as a Fe3O4–MIL–88B(Fe) sample

  • Lyudmila Telegina,
  • Lyubov Bondarenko,
  • Artur Dzeranov,
  • Kamila Kydralieva

摘要

Here, we introduce cyclic voltammetry (CV) as a rapid electrochemical screening tool for probing ligand-driven transformations and assessing the stability of MIL–88B(Fe) metal–organic framework and its Fe3O4-containing composites. The systems were investigated at pH 7.4 and 4.5 (PBS and NaOAc buffers) to simulate healthy extracellular tissue versus acidic tumor microenvironments, in the presence of ascorbic acid (AA) and humic acids (HA). At pH 7.4, both Fe3O4 and MIL–88B exhibit weak, irreversible reduction near −0.6 V (vs RHE), confirming structural stability and negligible iron solubilization. AA plays a dual role: it promotes Fe3O4 dissolution through reductive iron–ascorbate complexation, yet passivates the MIL–88B framework against iron leaching via surface ligand exchange. In contrast, HA moderates these interactions by attenuating redox current densities—an effect attributed to the formation of a hydrophobic interfacial barrier that restricts ion migration and suppresses desorption of iron–ascorbate species—consistent with recent insights into macromolecular organic layers under electric fields. Under acidic conditions (pH 4.5), all systems show increased electrochemical activity indicative of proton-assisted destabilization. Notably, the Fe3O4–MIL–88B composite exhibits superior resistance to degradation compared to its individual components. This stabilizing effect arises from restricted accessibility of the iron center and reduced ion diffusion within MOF pores, coupled with the active redox participation of Fe3O4 rather than its passive role as a conductive support. Overall, CV is established as a powerful descriptor of iron speciation and interfacial dynamics. By distinguishing between surface-confined ligand exchange, breathing (indirectly via diffusion kinetics), and bulk structural rearrangement, our work provides an efficient, predictive framework for screening functional nanomaterials as an alternative to protracted conventional stability assays.