Interplay between H-bonding and interpenetration in an aqueous copper(ii)–aminoalcohol–pyromellitic acid system: self-assembly synthesis, structural features and catalysis

2018 ◽  
Vol 47 (46) ◽  
pp. 16674-16683 ◽  
Author(s):  
Tiago A. Fernandes ◽  
Marina V. Kirillova ◽  
Vânia André ◽  
Alexander M. Kirillov
Keyword(s):  
Self Assembly ◽  
Coordination Compounds ◽  
Building Blocks ◽  
Structural Features ◽  
Acid System ◽  
Pyromellitic Acid ◽  
Self Assembled

Two new copper(ii) coordination compounds were self-assembled from N-methyldiethanolamine and pyromellitic acid as principal building blocks; their structural and catalytic features were investigated.

Self-assembly generation, structural features, and oxidation catalytic properties of new aqua-soluble copper(ii)-aminoalcohol derivatives

2017 ◽  
Vol 4 (6) ◽  
pp. 968-977 ◽  
Author(s):  
Marina V. Kirillova ◽  
Carla I. M. Santos ◽  
Vânia André ◽  
Tiago A. Fernandes ◽  
Sara S. P. Dias ◽  
...  
Keyword(s):  
Self Assembly ◽  
Coordination Compounds ◽  
Catalytic Properties ◽  
Building Blocks ◽  
Structural Features ◽  
Free Oxidation

Multidentate aminoalcohols were applied as unexplored building blocks to generate two novel Cu(ii) coordination compounds that act as efficient catalysts for the mild and acid-promoter-free oxidation of C5–C8 cycloalkanes.

scholarly journals Self-Assembly of Shape-Tunable Oblate Colloidal Particles into Orientationally Ordered Crystals, Glassy Crystals and Plastic Crystals

Soft Matter ◽  
2021 ◽  
Author(s):  
Jiawei Lu ◽  
Xiangyu Bu ◽  
Xinghua Zhang ◽  
Bing Liu
Keyword(s):  
Crystal Structures ◽  
Self Assembly ◽  
Colloidal Particles ◽  
Building Blocks ◽  
Fundamental Question ◽  
The Self ◽  
Plastic Crystals ◽  
Self Assembled ◽  
Glassy Crystals ◽  
The Relationship

The shapes of colloidal particles are crucial to the self-assembled superstructures. Understanding the relationship between the shapes of building blocks and the resulting crystal structures is an important fundamental question....

Zeolates: A Coordination Chemistry View of Metal-Ligand Bonding in Intrazeolite MOCVD Type Precursors and Semiconductor Nanoclusters

1992 ◽  
Vol 277 ◽  
Author(s):  
Geoffrey A. Ozin ◽  
Carol L. Bowes ◽  
Mark R. Steele
Keyword(s):  
Self Assembly ◽  
Materials Science ◽  
Zeolite Y ◽  
Chemical Vapour ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Organic Chemical ◽  
Wide Range ◽  
Shape Selective

ABSTRACTVarious MOCVD (metal-organic chemical vapour deposition) type precursors and their self-assembled semiconductor nanocluster products [1] have been investigated in zeolite Y hosts. From analysis of in situ observations (FTIR, UV-vis reflectance, Mössbauer, MAS-NMR) of the reaction sequences and structural features of the precursors and products (EXAFS and Rietveld refinement of powder XRD data) the zeolite is viewed as providing a macrospheroidal, multidendate coordination environment towards encapsulated guests. By thinking about the α- and β-cages of the zeolite Y host effectively as a zeolate ligand composed of interconnected aluminosilicate “crown ether-like” building blocks, the materials chemist is able to better understand and exploit the reactivity and coordination properties of the zeolite internal surface for the anchoring and self-assembly of a wide range of encapsulated guests. This approach helps with the design of synthetic strategies for creating novel guest-host inclusion compounds having possible applications in areas of materials science such as nonlinear optics, quantum electronics, and size/shape selective catalysis.

scholarly journals Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models

2020 ◽  
Author(s):  
Zhenpeng Yao ◽  
Benjamin Sanchez-Lengeling ◽  
N. Scott Bobbitt ◽  
Benjamin J. Bucior ◽  
Sai Govind Hari Kumar ◽  
...  
Keyword(s):  
Self Assembly ◽  
Metal Organic Framework ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Generative Models ◽  
Combinatorial Design ◽  
Surface Areas ◽  
Molecular Building Blocks ◽  
Metal Organic

Reticular frameworks are crystalline porous materials that form <i>via</i> the self-assembly of molecular building blocks (<i>i.e.</i>, nodes and linkers) in different topologies. Many of them have high internal surface areas and other desirable properties for gas storage, separation, and other applications. The notable variety of the possible building blocks and the diverse ways they can be assembled endow reticular frameworks with a near-infinite combinatorial design space, making reticular chemistry both promising and challenging for prospective materials design. Here, we propose an automated nanoporous materials discovery platform powered by a supramolecular variational autoencoder (SmVAE) for the generative design of reticular materials with desired functions. We demonstrate the automated design process with a class of metal-organic framework (MOF) structures and the goal of separating CO<sub>2</sub> from natural gas or flue gas. Our model exhibits high fidelity in capturing structural features and reconstructing MOF structures. We show that the autoencoder has a promising optimization capability when jointly trained with multiple top adsorbent candidates identified for superior gas separation. MOFs discovered here are strongly competitive against some of the best-performing MOFs/zeolites ever reported. This platform lays the groundwork for the design of reticular frameworks for desired applications.

scholarly journals Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models

2020 ◽  
Author(s):  
Zhenpeng Yao ◽  
Benjamin Sanchez-Lengeling ◽  
N. Scott Bobbitt ◽  
Benjamin J. Bucior ◽  
Sai Govind Hari Kumar ◽  
...  
Keyword(s):  
Self Assembly ◽  
Metal Organic Framework ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Generative Models ◽  
Combinatorial Design ◽  
Surface Areas ◽  
Molecular Building Blocks ◽  
Metal Organic

Reticular frameworks are crystalline porous materials that form <i>via</i> the self-assembly of molecular building blocks (<i>i.e.</i>, nodes and linkers) in different topologies. Many of them have high internal surface areas and other desirable properties for gas storage, separation, and other applications. The notable variety of the possible building blocks and the diverse ways they can be assembled endow reticular frameworks with a near-infinite combinatorial design space, making reticular chemistry both promising and challenging for prospective materials design. Here, we propose an automated nanoporous materials discovery platform powered by a supramolecular variational autoencoder (SmVAE) for the generative design of reticular materials with desired functions. We demonstrate the automated design process with a class of metal-organic framework (MOF) structures and the goal of separating CO<sub>2</sub> from natural gas or flue gas. Our model exhibits high fidelity in capturing structural features and reconstructing MOF structures. We show that the autoencoder has a promising optimization capability when jointly trained with multiple top adsorbent candidates identified for superior gas separation. MOFs discovered here are strongly competitive against some of the best-performing MOFs/zeolites ever reported. This platform lays the groundwork for the design of reticular frameworks for desired applications.

Self-Assembly of Proteins into Three-Dimensional Structures Using Bio-Conjugation

2014 ◽  
Vol 1663 ◽  
Author(s):  
Garima Thakur ◽  
Kovur Prashanthi ◽  
Thomas Thundat
Keyword(s):  
Self Assembly ◽  
Three Dimensional ◽  
Gold Surface ◽  
Building Blocks ◽  
Growth Conditions ◽  
Base Layer ◽  
Chemical Structures ◽  
Molecular Building Blocks ◽  
Ring Structures ◽  
Self Assembled

ABSTRACTSelf–assembly of molecular building blocks provides an interesting route to produce well-defined chemical structures. Tailoring the functionalities on the building blocks and controlling the time of self-assembly could control the properties as well as the structure of the resultant patterns. Spontaneous self-assembly of biomolecules can generate bio-interfaces for myriad of potential applications. Here we report self-assembled patterning of human serum albumin (HSA) protein in to ring structures on a polyethylene glycol (PEG) modified gold surface. The structure of the self-assembled protein molecules and kinetics of structure formation entirely revolved around controlling the nucleation of the base layer. The formation of different sizes of ring patterns is attributed to growth conditions of the PEG islands for bio-conjugation. These assemblies might be beneficial in forming structurally ordered architectures of active proteins such as HSA or other globular proteins.

scholarly journals Self-assembled liposomal nanoparticles in photodynamic therapy

2013 ◽  
Vol 5 (3) ◽  
Author(s):  
Magesh Sadasivam ◽  
Pinar Avci ◽  
Gaurav K. Gupta ◽  
Shanmugamurthy Lakshmanan ◽  
Rakkiyappan Chandran ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Self Assembly ◽  
Building Blocks ◽  
Dimensional Structure ◽  
3 Dimensional ◽  
Drug Delivery Vehicles ◽  
Judicious Choice ◽  
Delivery Vehicles ◽  
Self Assembled ◽  
Liposomal Nanoparticles

AbstractPhotodynamic therapy (PDT) employs the combination of non-toxic photosensitizers (PS) together with harmless visible light of the appropriate wavelength to produce reactive oxygen species that kill unwanted cells. Because many PS are hydrophobic molecules prone to aggregation, numerous drug delivery vehicles have been tested to solubilize these molecules, render them biocompatible and enhance the ease of administration after intravenous injection. The recent rise in nanotechnology has markedly expanded the range of these nanoparticulate delivery vehicles beyond the well-established liposomes and micelles. Self-assembled nanoparticles are formed by judicious choice of monomer building blocks that spontaneously form a well-oriented 3-dimensional structure that incorporates the PS when subjected to the appropriate conditions. This self-assembly process is governed by a subtle interplay of forces on the molecular level. This review will cover the state of the art in the preparation and use of self-assembled liposomal nanoparticles within the context of PDT.

Self-assembled 4-(1,2-diphenylbut-1-en-1-yl)aniline based nanoparticles: podophyllotoxin and aloin as building blocks

2017 ◽  
Vol 15 (5) ◽  
pp. 1106-1109 ◽  
Author(s):  
Gaia Fumagalli ◽  
Michael S. Christodoulou ◽  
Benedetta Riva ◽  
Inigo Revuelta ◽  
Cristina Marucci ◽  
...  
Keyword(s):  
Self Assembly ◽  
Building Blocks ◽  
Self Assembled

The ability of 4-(1,2-diphenylbut-1-en-1-yl)aniline as a self-assembly inducer is reported.

scholarly journals Reorganization of Self-Assembled DNA-Based Polymers Using Orthogonally Addressable Building Blocks

2021 ◽  
Author(s):  
Serena Gentile ◽  
Erica Del Grosso ◽  
Leonard J. Prins ◽  
Francesco Ricci
Keyword(s):  
Self Assembly ◽  
Rational Design ◽  
Building Blocks ◽  
Binding Domain ◽  
Non Covalent Interactions ◽  
Sticky Ends ◽  
Self Assembled ◽  
Block Structures ◽  
Covalent Interactions

Taking advantage of the addressability and programmability of DNA/DNA non-covalent interactions we report here the rational design of orthogonal DNA-based addressable tiles that self-assemble into polymer-like structures that can be reconfigured and reorganized by external inputs. The different tiles share the same 5-nucleotide sticky ends responsible for self-assembly but are rationally designed to contain a specific regulator-binding domain that can be orthogonally targeted by different DNA regulator strands (activators and inhibitors). We show that by sequentially adding specific activators and inhibitors it is possible to re-organize in a dynamic and reversible way the formed polymer-like structures to display well-defined distributions: homopolymers made of a single tile, random polymers in which different tiles are distributed randomly and block structures in which the tiles are organized in segments.

scholarly journals Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models

2020 ◽  
Author(s):  
Zhenpeng Yao ◽  
Benjamin Sanchez-Lengeling ◽  
N. Scott Bobbitt ◽  
Benjamin J. Bucior ◽  
Sai Govind Hari Kumar ◽  
...  
Keyword(s):  
Self Assembly ◽  
Metal Organic Framework ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Generative Models ◽  
Combinatorial Design ◽  
Surface Areas ◽  
Molecular Building Blocks ◽  
Metal Organic

Reticular frameworks are crystalline porous materials that form <i>via</i> the self-assembly of molecular building blocks (<i>i.e.</i>, nodes and linkers) in different topologies. Many of them have high internal surface areas and other desirable properties for gas storage, separation, and other applications. The notable variety of the possible building blocks and the diverse ways they can be assembled endow reticular frameworks with a near-infinite combinatorial design space, making reticular chemistry both promising and challenging for prospective materials design. Here, we propose an automated nanoporous materials discovery platform powered by a supramolecular variational autoencoder (SmVAE) for the generative design of reticular materials with desired functions. We demonstrate the automated design process with a class of metal-organic framework (MOF) structures and the goal of separating CO<sub>2</sub> from natural gas or flue gas. Our model exhibits high fidelity in capturing structural features and reconstructing MOF structures. We show that the autoencoder has a promising optimization capability when jointly trained with multiple top adsorbent candidates identified for superior gas separation. MOFs discovered here are strongly competitive against some of the best-performing MOFs/zeolites ever reported. This platform lays the groundwork for the design of reticular frameworks for desired applications.

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