Quantitative design principles for biofunctional metal-organic frameworks: Stability thresholds, biointerface...

Area of Science:

• Materials Science
• Nanotechnology
• Biomedical Engineering

Background:

• Metal-organic frameworks (MOFs) offer tunable properties for biomedical applications like drug delivery and sensing.
• Predicting MOF behavior under physiological conditions is challenging due to a lack of quantitative design principles.
• Current MOF development relies heavily on empirical methods, limiting exploration of potential applications.

Purpose of the Study:

• To introduce a semi-quantitative Interaction-Energy Landscape (IEL) framework for predicting MOF behavior.
• To link molecular-level coordination energetics to MOF stability, biointerface formation, and functional performance.
• To establish coordination-driven design principles for biofunctional MOFs.

Main Methods:

• Analysis of hydrolytic stability and biological performance across various MOF families.
• Correlation of observed behaviors with coordination-derived activation barriers and adsorption energetics.
• Development and application of the Interaction-Energy Landscape (IEL) framework.

Main Results:

• Hydrolytic stability and biological performance of MOFs vary significantly, governed by coordination chemistry.
• Zinc-based MOFs (e.g., MOF-5, ZIF-8) show rapid degradation, while zirconium-based MOFs (e.g., UiO-66) are more stable.
• The IEL framework successfully links coordination energetics to MOF stability, biointerface evolution, and function.

Conclusions:

• Coordination chemistry, not just topology, dictates MOF stability and biological performance.
• The IEL framework provides a transferable design envelope for creating predictable biofunctional MOFs.
• Adaptive biofunctionality in MOFs arises from controlled interaction-energy landscapes.