1
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Basford AR, Bennett SK, Xiao M, Turcani L, Allen J, Jelfs KE, Greenaway RL. Streamlining the automated discovery of porous organic cages. Chem Sci 2024; 15:6331-6348. [PMID: 38699265 PMCID: PMC11062116 DOI: 10.1039/d3sc06133g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/12/2024] [Indexed: 05/05/2024] Open
Abstract
Self-assembly through dynamic covalent chemistry (DCC) can yield a range of multi-component organic assemblies. The reversibility and dynamic nature of DCC has made prediction of reaction outcome particularly difficult and thus slows the discovery rate of new organic materials. In addition, traditional experimental processes are time-consuming and often rely on serendipity. Here, we present a streamlined hybrid workflow that combines automated high-throughput experimentation, automated data analysis, and computational modelling, to accelerate the discovery process of one particular subclass of molecular organic materials, porous organic cages. We demonstrate how the design and implementation of this workflow aids in the identification of organic cages with desirable properties. The curation of a precursor library of 55 tri- and di-topic aldehyde and amine precursors enabled the experimental screening of 366 imine condensation reactions experimentally, and 1464 hypothetical organic cage outcomes to be computationally modelled. From the screen, 225 cages were identified experimentally using mass spectrometry, 54 of which were cleanly formed as a single topology as determined by both turbidity measurements and 1H NMR spectroscopy. Integration of these characterisation methods into a fully automated Python pipeline, named cagey, led to over a 350-fold decrease in the time required for data analysis. This work highlights the advantages of combining automated synthesis, characterisation, and analysis, for large-scale data curation towards an accessible data-driven materials discovery approach.
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Affiliation(s)
- Annabel R Basford
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
| | - Steven K Bennett
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
| | - Muye Xiao
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
| | - Lukas Turcani
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
| | - Jasmine Allen
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
| | - Kim E Jelfs
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
| | - Rebecca L Greenaway
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London White City Campus, 82 Wood Lane W12 0BZ UK
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2
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Ivanova S, Adamski P, Köster E, Schramm L, Fröhlich R, Beuerle F. Size Determination of Organic Cages by Diffusion NMR Spectroscopy. Chemistry 2023:e202303318. [PMID: 37966964 DOI: 10.1002/chem.202303318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 11/15/2023] [Accepted: 11/15/2023] [Indexed: 11/17/2023]
Abstract
Reliable structure elucidation of covalent organic cage compounds remains challenging as routine analysis might leave ambiguities. Diffusion-ordered NMR spectroscopy (DOSY) allows insight into the molecular size and mass of the species present in solution, but a systematic evaluation of the diffusion behavior for cage assemblies is rarely considered. Here we report the synthesis of four series of covalent organic cages based on tribenzotriquinacenes and diboronic acids with varying geometry and exohedral substituents. We provide a guideline for the consistent measurement of diffusion coefficients from 1 H-DOSY NMR spectroscopy, which was utilized to study the diffusion behavior for the whole set of cages and selected examples from the literature. For structurally similar cages, a linear correlation between the solvodynamic volume and the molecular mass allows precise size determination. For more complex systems, multiple parameters, such as window size or rigid exohedral functionalization. further modulate cage diffusion in solution.
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Affiliation(s)
- Svetlana Ivanova
- Julius-Maximilians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074, Würzburg, Germany
- Julius-Maximilians-Universität Würzburg, Center for Nanosystems Chemistry (CNC), Theodor-Boveri-Weg, 97074, Würzburg, Germany
| | - Paul Adamski
- Julius-Maximilians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074, Würzburg, Germany
- Julius-Maximilians-Universität Würzburg, Center for Nanosystems Chemistry (CNC), Theodor-Boveri-Weg, 97074, Würzburg, Germany
| | - Eva Köster
- Julius-Maximilians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074, Würzburg, Germany
- Julius-Maximilians-Universität Würzburg, Center for Nanosystems Chemistry (CNC), Theodor-Boveri-Weg, 97074, Würzburg, Germany
| | - Louis Schramm
- Julius-Maximilians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074, Würzburg, Germany
- Julius-Maximilians-Universität Würzburg, Center for Nanosystems Chemistry (CNC), Theodor-Boveri-Weg, 97074, Würzburg, Germany
| | - Rebecca Fröhlich
- Julius-Maximilians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074, Würzburg, Germany
- Julius-Maximilians-Universität Würzburg, Center for Nanosystems Chemistry (CNC), Theodor-Boveri-Weg, 97074, Würzburg, Germany
| | - Florian Beuerle
- Julius-Maximilians-Universität Würzburg, Institut für Organische Chemie, Am Hubland, 97074, Würzburg, Germany
- Julius-Maximilians-Universität Würzburg, Center for Nanosystems Chemistry (CNC), Theodor-Boveri-Weg, 97074, Würzburg, Germany
- Eberhard Karls Universität Tübingen, Institut für Organische Chemie, Auf der Morgenstelle 18, 72076, Tübingen, Germany
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3
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Müller C, Scholten K, Engelage E, Merten C. Synthesis and VCD Spectroscopic Characterization of a Series of Azacryptands from a Chiral Valine-Based Derivative of Tris(2-aminoethyl)amine (TREN). Chemistry 2023; 29:e202302126. [PMID: 37556200 DOI: 10.1002/chem.202302126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 08/09/2023] [Accepted: 08/09/2023] [Indexed: 08/10/2023]
Abstract
Utilizing experimental and computational vibrational circular dichroism (VCD) spectroscopy, we explored the conformational preferences of a series of chiral C3 -symmetric octaazacryptands with tris(2-aminoethyl)-amine head groups derived from valine. While the spectra of the smallest azacryptand with p-phenyl linkers and its elongated derivative with p-biphenyls linker were found to match well with the computed spectra, the computed conformational preferences of the m-biphenyl-based azacryptand did not seem to reflect the conformations dominating in chloroform solution. A detailed analysis revealed that structural changes resulting in a collapsed cage structure gave a notably better match with the experiment. It could subsequently be concluded from the VCD analysis, that the octaazacryptands prefer a collapsed structure, which is not predicted by density functional theory (DFT) calculations as the global minimum structures. These findings are expected to have consequences also for future studies on inclusion complexes of such azacryptands.
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Affiliation(s)
- Clemens Müller
- Ruhr Universität Bochum, Fakultät für Chemie und Biochemie, Organische Chemie II, Universitätsstraße 150, 44801, Bochum, Germany
| | - Kevin Scholten
- Ruhr Universität Bochum, Fakultät für Chemie und Biochemie, Organische Chemie II, Universitätsstraße 150, 44801, Bochum, Germany
| | - Elric Engelage
- Ruhr Universität Bochum, Fakultät für Chemie und Biochemie, Organische Chemie II, Universitätsstraße 150, 44801, Bochum, Germany
| | - Christian Merten
- Ruhr Universität Bochum, Fakultät für Chemie und Biochemie, Organische Chemie II, Universitätsstraße 150, 44801, Bochum, Germany
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4
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Jelfs KE. Computational modeling to assist in the discovery of supramolecular materials. Ann N Y Acad Sci 2022; 1518:106-119. [PMID: 36251351 PMCID: PMC10091946 DOI: 10.1111/nyas.14913] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Computational modeling is increasingly used to assist in the discovery of supramolecular materials. Supramolecular materials are typically primarily built from organic components that are self-assembled through noncovalent bonding and have potential applications, including in selective binding, sorption, molecular separations, catalysis, optoelectronics, sensing, and as molecular machines. In this review, the key areas where computational prediction can assist in the discovery of supramolecular materials, including in structure prediction, property prediction, and the prediction of how to synthesize a hypothetical material are discussed, before exploring the potential impact of artificial intelligence techniques on the field. Throughout, the importance of close integration with experimental materials discovery programs will be highlighted. A series of case studies from the author's work across some different supramolecular material classes will be discussed, before finishing with a discussion of the outlook for the field.
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Affiliation(s)
- Kim E Jelfs
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London, UK
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5
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Nandy A, Duan C, Kulik HJ. Using Machine Learning and Data Mining to Leverage Community Knowledge for the Engineering of Stable Metal-Organic Frameworks. J Am Chem Soc 2021; 143:17535-17547. [PMID: 34643374 DOI: 10.1021/jacs.1c07217] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Although the tailored metal active sites and porous architectures of MOFs hold great promise for engineering challenges ranging from gas separations to catalysis, a lack of understanding of how to improve their stability limits their use in practice. To overcome this limitation, we extract thousands of published reports of the key aspects of MOF stability necessary for their practical application: the ability to withstand high temperatures without degrading and the capacity to be activated by removal of solvent molecules. From nearly 4000 manuscripts, we use natural language processing and image analysis to obtain over 2000 solvent-removal stability measures and 3000 thermal degradation temperatures. We analyze the relationships between stability properties and the chemical and geometric structures in this set to identify limits of prior heuristics derived from smaller sets of MOFs. By training predictive machine learning (ML, i.e., Gaussian process and artificial neural network) models to encode the structure-property relationships with graph- and pore-structure-based representations, we are able to make predictions of stability orders of magnitude faster than conventional physics-based modeling or experiment. Interpretation of important features in ML models provides insights that we use to identify strategies to engineer increased stability into typically unstable 3d-transition-metal-containing MOFs that are frequently targeted for catalytic applications. We expect our approach to accelerate the time to discovery of stable, practical MOF materials for a wide range of applications.
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Affiliation(s)
- Aditya Nandy
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.,Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Chenru Duan
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.,Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Heather J Kulik
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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6
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Wagner P, Rominger F, Zhang W, Gross JH, Elbert SM, Schröder RR, Mastalerz M. Chiral Self-sorting of Giant Cubic [8+12] Salicylimine Cage Compounds. Angew Chem Int Ed Engl 2021; 60:8896-8904. [PMID: 33476442 PMCID: PMC8048989 DOI: 10.1002/anie.202016592] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/21/2021] [Indexed: 12/13/2022]
Abstract
Chiral self-sorting is intricately connected to the complicated chiral processes observed in nature and no artificial systems of comparably complexity have been generated by chemists. However, only a few examples of purely organic molecules have been reported so far, where the self-sorting process could be controlled. Herein, we describe the chiral self-sorting of large cubic [8+12] salicylimine cage compounds based on a chiral TBTQ precursor. Out of 23 possible cage isomers only the enantiopure and a meso cage were observed to be formed, which have been unambiguously characterized by single crystal X-ray diffraction. Furthermore, by careful choice of solvent the formation of meso cage could be controlled. With internal diameters of din =3.3-3.5 nm these cages are among the largest organic cage compounds characterized and show very high specific surface areas up to approx. 1500 m2 g-1 after desolvation.
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Affiliation(s)
- Philippe Wagner
- Organisch-Chemisches InstitutRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 27069120HeidelbergGermany
| | - Frank Rominger
- Organisch-Chemisches InstitutRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 27069120HeidelbergGermany
| | - Wen‐Shan Zhang
- Centre for Advanced MaterialsRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 22569120HeidelbergGermany
| | - Jürgen H. Gross
- Organisch-Chemisches InstitutRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 27069120HeidelbergGermany
| | - Sven M. Elbert
- Organisch-Chemisches InstitutRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 27069120HeidelbergGermany
| | - Rasmus R. Schröder
- Centre for Advanced MaterialsRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 22569120HeidelbergGermany
| | - Michael Mastalerz
- Organisch-Chemisches InstitutRuprecht-Karls-Universität HeidelbergIm Neuenheimer Feld 27069120HeidelbergGermany
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7
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Wagner P, Rominger F, Zhang W, Gross JH, Elbert SM, Schröder RR, Mastalerz M. Chiral Self‐sorting of Giant Cubic [8+12] Salicylimine Cage Compounds. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202016592] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Philippe Wagner
- Organisch-Chemisches Institut Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 270 69120 Heidelberg Germany
| | - Frank Rominger
- Organisch-Chemisches Institut Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 270 69120 Heidelberg Germany
| | - Wen‐Shan Zhang
- Centre for Advanced Materials Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 225 69120 Heidelberg Germany
| | - Jürgen H. Gross
- Organisch-Chemisches Institut Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 270 69120 Heidelberg Germany
| | - Sven M. Elbert
- Organisch-Chemisches Institut Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 270 69120 Heidelberg Germany
| | - Rasmus R. Schröder
- Centre for Advanced Materials Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 225 69120 Heidelberg Germany
| | - Michael Mastalerz
- Organisch-Chemisches Institut Ruprecht-Karls-Universität Heidelberg Im Neuenheimer Feld 270 69120 Heidelberg Germany
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8
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Abet V, Szczypiński FT, Little MA, Santolini V, Jones CD, Evans R, Wilson C, Wu X, Thorne MF, Bennison MJ, Cui P, Cooper AI, Jelfs KE, Slater AG. Inducing Social Self-Sorting in Organic Cages To Tune The Shape of The Internal Cavity. Angew Chem Int Ed Engl 2020; 59:16755-16763. [PMID: 32542926 PMCID: PMC7540416 DOI: 10.1002/anie.202007571] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Indexed: 12/22/2022]
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.
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Affiliation(s)
- Valentina Abet
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Filip T. Szczypiński
- Department of ChemistryImperial College LondonMolecular Sciences Research HubWhite City CampusLondonW12 0BZUK
| | - Marc A. Little
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Valentina Santolini
- Department of ChemistryImperial College LondonMolecular Sciences Research HubWhite City CampusLondonW12 0BZUK
| | - Christopher D. Jones
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Robert Evans
- Aston Institute of Materials Research, School of Engineering and Applied ScienceAston UniversityBirminghamB4 7ETUK
| | - Craig Wilson
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Xiaofeng Wu
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Michael F. Thorne
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Michael J. Bennison
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Peng Cui
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Andrew I. Cooper
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
| | - Kim E. Jelfs
- Department of ChemistryImperial College LondonMolecular Sciences Research HubWhite City CampusLondonW12 0BZUK
| | - Anna G. Slater
- Department of Chemistry and Materials Innovation FactoryUniversity of LiverpoolCrown StreetLiverpoolL69 7ZDUK
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9
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Greenaway RL, Jelfs KE. High-Throughput Approaches for the Discovery of Supramolecular Organic Cages. Chempluschem 2020; 85:1813-1823. [PMID: 32833311 DOI: 10.1002/cplu.202000445] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/27/2020] [Indexed: 12/21/2022]
Abstract
The assembly of complex molecules, such as organic cages, can be achieved through supramolecular and dynamic covalent strategies. Their use in a range of applications has been demonstrated, including gas uptake, molecular separations, and in catalysis. However, the targeted design and synthesis of new species for particular applications is challenging, particularly as the systems become more complex. High-throughput computation-only and experiment-only approaches have been developed to streamline the discovery process, although are still not widely implemented. Additionally, combined hybrid workflows can dramatically accelerate the discovery process and lead to the serendipitous discovery and rationalisation of new supramolecular assemblies that would not have been designed based on intuition alone. This Minireview focuses on the advances in high-throughput approaches that have been developed and applied in the discovery of supramolecular organic cages.
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Affiliation(s)
- Rebecca L Greenaway
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, White City Campus, Wood Lane, London, W12 0BZ, United Kingdom
| | - Kim E Jelfs
- Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, White City Campus, Wood Lane, London, W12 0BZ, United Kingdom
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10
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Abet V, Szczypiński FT, Little MA, Santolini V, Jones CD, Evans R, Wilson C, Wu X, Thorne MF, Bennison MJ, Cui P, Cooper AI, Jelfs KE, Slater AG. Inducing Social Self‐Sorting in Organic Cages To Tune The Shape of The Internal Cavity. Angew Chem Int Ed Engl 2020. [DOI: 10.1002/ange.202007571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Valentina Abet
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Filip T. Szczypiński
- Department of ChemistryImperial College LondonMolecular Sciences Research Hub White City Campus London W12 0BZ UK
| | - Marc A. Little
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Valentina Santolini
- Department of ChemistryImperial College LondonMolecular Sciences Research Hub White City Campus London W12 0BZ UK
| | - Christopher D. Jones
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Robert Evans
- Aston Institute of Materials Research, School of Engineering and Applied ScienceAston University Birmingham B4 7ET UK
| | - Craig Wilson
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Xiaofeng Wu
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Michael F. Thorne
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Michael J. Bennison
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Peng Cui
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Andrew I. Cooper
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
| | - Kim E. Jelfs
- Department of ChemistryImperial College LondonMolecular Sciences Research Hub White City Campus London W12 0BZ UK
| | - Anna G. Slater
- Department of Chemistry and Materials Innovation FactoryUniversity of Liverpool Crown Street Liverpool L69 7ZD UK
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11
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Feng GF, Geng J, Feng FD, Huang W. Solvent-controlled self-assembly of tetrapodal [4 + 4] phosphate organic molecular cage. Sci Rep 2020; 10:4712. [PMID: 32170278 PMCID: PMC7070053 DOI: 10.1038/s41598-020-61813-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 03/02/2020] [Indexed: 11/17/2022] Open
Abstract
Two flexible subcomponents, namely tris(4-formylphenyl)phosphate and tris(2-aminoethyl)amine, are assembled into a tetrapodal [4 + 4] cage depending on the solvent effect. Single-crystal structure analysis reveals that the caivity is surrounded by four phosphate uints. Good selectivity of CO2 adsorption over CH4 is demonstrated by the gas adsorption experiment.
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Affiliation(s)
- Gen-Feng Feng
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu Province, 210093, P.R. China
| | - Jiao Geng
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu Province, 210093, P.R. China
| | - Fan-Da Feng
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu Province, 210093, P.R. China
| | - Wei Huang
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu Province, 210093, P.R. China. .,Shenzhen Research Institute of Nanjing University, Shenzhen, Guangdong Province, 518057, P.R. China.
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12
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Computational discovery of molecular C 60 encapsulants with an evolutionary algorithm. Commun Chem 2020; 3:10. [PMID: 36703408 PMCID: PMC9814092 DOI: 10.1038/s42004-020-0255-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 12/20/2019] [Indexed: 01/29/2023] Open
Abstract
Computation is playing an increasing role in the discovery of materials, including supramolecular materials such as encapsulants. In this work, a function-led computational discovery using an evolutionary algorithm is used to find potential fullerene (C60) encapsulants within the chemical space of porous organic cages. We find that the promising host cages for C60 evolve over the simulations towards systems that share features such as the correct cavity size to host C60, planar tri-topic aldehyde building blocks with a small number of rotational bonds, di-topic amine linkers with functionality on adjacent carbon atoms, high structural symmetry, and strong complex binding affinity towards C60. The proposed cages are chemically feasible and similar to cages already present in the literature, helping to increase the likelihood of the future synthetic realisation of these predictions. The presented approach is generalisable and can be tailored to target a wide range of properties in molecular material systems.
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13
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Turcani L, Berardo E, Jelfs KE. stk: A python toolkit for supramolecular assembly. J Comput Chem 2018; 39:1931-1942. [PMID: 30247770 PMCID: PMC6585955 DOI: 10.1002/jcc.25377] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 05/17/2018] [Accepted: 05/20/2018] [Indexed: 01/08/2023]
Abstract
A tool for the automated assembly, molecular optimization and property calculation of supramolecular materials is presented. stk is a modular, extensible and open-source Python library that provides a simple Python API and integration with third party computational codes. stk currently supports the construction of linear polymers, small linear oligomers, organic cages in multiple topologies and covalent organic frameworks (COFs) in multiple framework topologies, but is designed to be easy to extend to new, unrelated, supramolecules or new topologies. Extension to metal-organic frameworks (MOFs), metallocycles or supramolecules, such as catenanes, would be straightforward. Through integration with third party codes, stk offers the user the opportunity to explore the potential energy landscape of the assembled supramolecule and then calculate the supramolecule's structural features and properties. stk provides support for high-throughput screening of large batches of supramolecules at a time. The source code of the program can be found at https://github.com/supramolecular-toolkit/stk. © 2018 Wiley Periodicals, Inc.
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Affiliation(s)
- Lukas Turcani
- Department of ChemistryImperial College LondonSouth KensingtonSW7 2AZLondon
| | - Enrico Berardo
- Department of ChemistryImperial College LondonSouth KensingtonSW7 2AZLondon
| | - Kim E. Jelfs
- Department of ChemistryImperial College LondonSouth KensingtonSW7 2AZLondon
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14
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Greenaway RL, Santolini V, Bennison MJ, Alston BM, Pugh CJ, Little MA, Miklitz M, Eden-Rump EGB, Clowes R, Shakil A, Cuthbertson HJ, Armstrong H, Briggs ME, Jelfs KE, Cooper AI. High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis. Nat Commun 2018; 9:2849. [PMID: 30030426 PMCID: PMC6054661 DOI: 10.1038/s41467-018-05271-9] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 06/21/2018] [Indexed: 02/05/2023] Open
Abstract
Supramolecular synthesis is a powerful strategy for assembling complex molecules, but to do this by targeted design is challenging. This is because multicomponent assembly reactions have the potential to form a wide variety of products. High-throughput screening can explore a broad synthetic space, but this is inefficient and inelegant when applied blindly. Here we fuse computation with robotic synthesis to create a hybrid discovery workflow for discovering new organic cage molecules, and by extension, other supramolecular systems. A total of 78 precursor combinations were investigated by computation and experiment, leading to 33 cages that were formed cleanly in one-pot syntheses. Comparison of calculations with experimental outcomes across this broad library shows that computation has the power to focus experiments, for example by identifying linkers that are less likely to be reliable for cage formation. Screening also led to the unplanned discovery of a new cage topology-doubly bridged, triply interlocked cage catenanes.
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Affiliation(s)
- R L Greenaway
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - V Santolini
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - M J Bennison
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - B M Alston
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - C J Pugh
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - M A Little
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - M Miklitz
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK
| | - E G B Eden-Rump
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - R Clowes
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - A Shakil
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - H J Cuthbertson
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - H Armstrong
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - M E Briggs
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK
| | - K E Jelfs
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK.
| | - A I Cooper
- Department of Chemistry and Materials Innovation Factory, University of Liverpool, 51 Oxford Street, Liverpool, L7 3NY, UK.
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15
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Cooper AI. Porous Molecular Solids and Liquids. ACS CENTRAL SCIENCE 2017; 3:544-553. [PMID: 28691065 PMCID: PMC5492258 DOI: 10.1021/acscentsci.7b00146] [Citation(s) in RCA: 131] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Indexed: 05/23/2023]
Abstract
Until recently, porous molecular solids were isolated curiosities with properties that were eclipsed by porous frameworks, such as metal-organic frameworks. Now molecules have emerged as a functional materials platform that can have high levels of porosity, good chemical stability, and, uniquely, solution processability. The lack of intermolecular bonding in these materials has also led to new, counterintuitive states of matter, such as porous liquids. Our ability to design these materials has improved significantly due to advances in computational prediction methods.
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16
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Santolini V, Miklitz M, Berardo E, Jelfs KE. Topological landscapes of porous organic cages. NANOSCALE 2017; 9:5280-5298. [PMID: 28397915 DOI: 10.1039/c7nr00703e] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We define a nomenclature for the classification of porous organic cage molecules, enumerating the 20 most probable topologies, 12 of which have been synthetically realised to date. We then discuss the computational challenges encountered when trying to predict the most likely topological outcomes from dynamic covalent chemistry (DCC) reactions of organic building blocks. This allows us to explore the extent to which comparing the internal energies of possible reaction outcomes is successful in predicting the topology for a series of 10 different building block combinations.
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Affiliation(s)
- Valentina Santolini
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK. www.twitter.com/JelfsChem
| | - Marcin Miklitz
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK. www.twitter.com/JelfsChem
| | - Enrico Berardo
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK. www.twitter.com/JelfsChem
| | - Kim E Jelfs
- Department of Chemistry, Imperial College London, South Kensington, London, SW7 2AZ, UK. www.twitter.com/JelfsChem
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17
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Evans JD, Jelfs KE, Day GM, Doonan CJ. Application of computational methods to the design and characterisation of porous molecular materials. Chem Soc Rev 2017; 46:3286-3301. [DOI: 10.1039/c7cs00084g] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Composed from discrete units, porous molecular materials (PMMs) possess properties not observed for conventional, extended solids. Molecular simulations provide crucial understanding for the design and characterisation of these unique materials.
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Affiliation(s)
- Jack D. Evans
- Chimie ParisTech
- PSL Research University
- CNRS
- Institut de Recherche de Chimie Paris
- 75005 Paris
| | - Kim E. Jelfs
- Department of Chemistry
- Imperial College London
- South Kensington
- London
- UK
| | - Graeme M. Day
- Computational Systems Chemistry
- School of Chemistry
- University of Southampton
- Highfield
- Southampton
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18
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Wang Q, Liu Y, Chen J, Du Z, Mi J. Control of Uniform and Interconnected Macroporous Structure in PolyHIPE for Enhanced CO2 Adsorption/Desorption Kinetics. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:7879-7888. [PMID: 27322734 DOI: 10.1021/acs.est.6b00579] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
The highly uniform and interconnected macroporous polymer materials were prepared within the high internal phase hydrosol-in-oil emulsions (HIPEs). Impregnated with polyethylenimine (PEI), the polyHIPEs were then employed as solid adsorbents for CO2 capture. Thermodynamic and kinetic capture-and-release tests were performed with pure CO2, 10% CO2/N2, and moist CO2, respectively. It has shown that the polyHIPE with suitable surface area and PEI impregnation exhibits high CO2 adsorption capacity, remarkable CO2/N2 selectivity, excellent adsorption/desorption kinetics, enhanced efficiency in the presence of water, and admirable stability in capture and release cycles. The results demonstrate the superior comprehensive performance of the present PEI-impregnated polyHIPE for CO2 capture from the postcombustion flue gas.
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Affiliation(s)
- Quanyong Wang
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology , Beijing 100029, China
- State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University , Beijing 100084, China
| | - Yao Liu
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology , Beijing 100029, China
- State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University , Beijing 100084, China
| | - Jian Chen
- State Key Laboratory of Chemical Engineering, Department of Chemical Engineering, Tsinghua University , Beijing 100084, China
| | - Zhongjie Du
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology , Beijing 100029, China
| | - Jianguo Mi
- State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology , Beijing 100029, China
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19
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Zwijnenburg MA, Berardo E, Peveler WJ, Jelfs KE. Amine Molecular Cages as Supramolecular Fluorescent Explosive Sensors: A Computational Perspective. J Phys Chem B 2016; 120:5063-72. [DOI: 10.1021/acs.jpcb.6b03059] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Martijn A. Zwijnenburg
- Department
of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K
| | - Enrico Berardo
- Department
of Chemistry, Imperial College London, South Kensington, London SW7 2AZ, U.K
| | - William J. Peveler
- Department
of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K
| | - Kim E. Jelfs
- Department
of Chemistry, Imperial College London, South Kensington, London SW7 2AZ, U.K
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