Abstract
Organophosphorus nerve agents are among the most toxic chemicals known and remain threats to humans due to their continued use despite international bans. Metal-organic frameworks (MOFs) have emerged as a class of heterogeneous catalysts with tunable structures that are capable of rapidly detoxifying these chemicals via hydrolysis at Lewis acidic active sites on the metal nodes. To date, the majority of studies in this field have focused on zirconium-based MOFs (Zr-MOFs) that contain hexanuclear Zr(IV) clusters, despite the large toolbox of Lewis acidic transition metal ions that are available to construct MOFs with similar catalytic properties. In particular, very few reports have disclosed the use of a Ti-based MOF (Ti-MOF) as a catalyst for this transformation even though Ti(IV) is a stronger Lewis acid than Zr(IV). In this work, we explored five Ti-MOFs (Ti-MFU-4l, NU-1012-NDC, MIL-125, Ti-MIL-101, MIL-177(LT), and MIL-177(HT)) that each contains Ti(IV) ions in unique coordination environments, including monometallic, bimetallic, octanuclear, triangular clusters, and extended chains, as catalysts to explore how both different node structures and different linkers (e.g., azolate and carboxylate) influence the binding and subsequent hydrolysis of an organophosphorus nerve agent simulant at Ti(IV)-based active sites in basic aqueous solutions. Experimental and theoretical studies confirm that Ti-MFU-4l, which contains monometallic Ti(IV)-OH species, exhibits the best catalytic performance among this series with a half-life of roughly 2 min. This places Ti-MFU-4l as one of the best nerve agent hydrolysis catalysts of any MOF reported to date.
Original language | English (US) |
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Pages (from-to) | 7435-7445 |
Number of pages | 11 |
Journal | Journal of the American Chemical Society |
Volume | 145 |
Issue number | 13 |
DOIs | |
State | Published - Apr 5 2023 |
Funding
The authors acknowledge the support from the Defense Threat Reduction Agency under Award Numbers HDTRA1-18-1-0003 and HDTRA1-22-1-0041. K.O.K. gratefully acknowledges support from the IIN Postdoctoral Fellowship and the Northwestern University International Institute for Nanotechnology. K.M.F. gratefully acknowledges support from the Ryan Fellowship and the International Institute for Nanotechnology at Northwestern University. This work made use of the Integrated Molecular Structure Education and Research Center (IMSERC) NMR facility at Northwestern University, which has received support from NSF CHE-1048773, the Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSF ECCS2025633) and Northwestern University. The authors also thank the EPIC facility of Northwestern University’s NUANCE Center, which has received support from the SHyNE Resource (NSF ECCS-2025633), the IIN, and Northwestern’s MRSEC program (NSF DMR-1720139). The authors appreciate Northwestern University Quantitative Bio-element Imaging Center for ICP-OES measurements. This research used computational resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 using NERSC award BES-ERCAP0023154. The authors also acknowledge the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology.
ASJC Scopus subject areas
- Catalysis
- General Chemistry
- Biochemistry
- Colloid and Surface Chemistry
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CCDC 2178295: Experimental Crystal Structure Determination
Mian, M. R. (Contributor), Wang, X. (Contributor), Wang, X. (Contributor), Kirlikovali, K. O. (Contributor), Xie, H. (Contributor), Ma, K. (Contributor), Fahy, K. M. (Contributor), Chen, H. (Contributor), Islamoglu, T. (Contributor), Snurr, R. Q. (Contributor) & Farha, O. K. (Contributor), Cambridge Crystallographic Data Centre, 2023
DOI: 10.5517/ccdc.csd.cc2c3pls, http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2c3pls&sid=DataCite
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