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Inducing Social Self-Sorting in Organic Cages To Tune The Shape of The Internal Cavity
Authors:Dr. Valentina Abet  Dr. Filip T. Szczypiński  Dr. Marc A. Little  Dr. Valentina Santolini  Dr. Christopher D. Jones  Dr. Robert Evans  Dr. Craig Wilson  Dr. Xiaofeng Wu  Michael F. Thorne  Dr. Michael J. Bennison  Peng Cui  Prof. Andrew I. Cooper  Dr. Kim E. Jelfs  Dr. Anna G. Slater
Affiliation:1. Department of Chemistry and Materials Innovation Factory, University of Liverpool, Crown Street, Liverpool, L69 7ZD UK;2. Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, White City Campus, London, W12 0BZ UK;3. Aston Institute of Materials Research, School of Engineering and Applied Science, Aston University, Birmingham, B4 7ET UK
Abstract:Many interesting target guest molecules have low symmetry, yet most methods for synthesising hosts result in highly symmetrical capsules. Methods of generating lower symmetry pores are thus required to maximise the binding affinity in host–guest complexes. Herein, we use mixtures of tetraaldehyde building blocks with cyclohexanediamine to access low-symmetry imine cages. Whether a low-energy cage is isolated can be correctly predicted from the thermodynamic preference observed in computational models. The stability of the observed structures depends on the geometrical match of the aldehyde building blocks. One bent aldehyde stands out as unable to assemble into high-symmetry cages-and the same aldehyde generates low-symmetry socially self-sorted cages when combined with a linear aldehyde. We exploit this finding to synthesise a family of low-symmetry cages containing heteroatoms, illustrating that pores of varying geometries and surface chemistries may be reliably accessed through computational prediction and self-sorting.
Keywords:cage compounds  molecular materials  multi-component self-assembly  self-sorting  supramolecular chemistry
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