Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Sapphyrin-nanotube assemblies.

ABSTRACT: Single wall carbon nanotubes (SWNTs) bind strongly to sapphyrins, quintessential pentapyrrolic "expanded porphyrin" macrocycles, through donor-acceptor stacking interactions. The specific use of a functionalized sapphyrin diol yields stable water-suspendable nanotubes and also permits the formation of well-defined assemblies in ionic liquids. The absorption and steady-state fluorescence spectra of the resulting noncovalently functionalized nanotube complexes have been analyzed in aqueous media and ionic liquids, yielding a description of the photophysical properties of the nanotube-sapphyrin complexes as donor-acceptor species for light-harvesting.

SUBMITTER: Boul PJ

PROVIDER: S-EPMC2526119 | biostudies-literature | 2007 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Sapphyrin-nanotube assemblies.

Boul Peter J PJ Cho Dong-Gyu DG Rahman G M Aminur GM Marquez Manuel M Ou Zhongping Z Kadish Karl M KM Guldi Dirk M DM Sessler Jonathan L JL

Journal of the American Chemical Society 20070410 17

Single wall carbon nanotubes (SWNTs) bind strongly to sapphyrins, quintessential pentapyrrolic "expanded porphyrin" macrocycles, through donor-acceptor stacking interactions. The specific use of a functionalized sapphyrin diol yields stable water-suspendable nanotubes and also permits the formation of well-defined assemblies in ionic liquids. The absorption and steady-state fluorescence spectra of the resulting noncovalently functionalized nanotube complexes have been analyzed in aqueous media a ...[more]

PMID: 17419632

Similar Datasets

Computational design of virus-like protein assemblies on carbon nanotube surfaces.

Project description:There is a general need for the engineering of protein-like molecules that organize into geometrically specific superstructures on molecular surfaces, directing further functionalization to create richly textured, multilayered assemblies. Here we describe a computational approach whereby the surface properties and symmetry of a targeted surface define the sequence and superstructure of surface-organizing peptides. Computational design proceeds in a series of steps that encode both surface recognition and favorable intersubunit packing interactions. This procedure is exemplified in the design of peptides that assemble into a tubular structure surrounding single-walled carbon nanotubes (SWNTs). The geometrically defined, virus-like coating created by these peptides converts the smooth surfaces of SWNTs into highly textured assemblies with long-scale order, capable of directing the assembly of gold nanoparticles into helical arrays along the SWNT axis.

| S-EPMC3264056 | biostudies-literature

Non-destructive characterization of structural hierarchy within aligned carbon nanotube assemblies.

Project description:Understanding and controlling the hierarchical self-assembly of carbon nanotubes (CNTs) is vital for designing materials such as transparent conductors, chemical sensors, high-performance composites, and microelectronic interconnects. In particular, many applications require high-density CNT assemblies that cannot currently be made directly by low-density CNT growth, and therefore require post-processing by methods such as elastocapillary densification. We characterize the hierarchical structure of pristine and densified vertically aligned multi-wall CNT forests, by combining small-angle and ultra-small-angle x-ray scattering (USAXS) techniques. This enables the nondestructive measurement of both the individual CNT diameter and CNT bundle diameter within CNT forests, which are otherwise quantified only by delicate and often destructive microscopy techniques. Our measurements show that multi-wall CNT forests grown by chemical vapor deposition consist of isolated and bundled CNTs, with an average bundle diameter of 16 nm. After capillary densification of the CNT forest, USAXS reveals bundles with a diameter >4 μm, in addition to the small bundles observed in the as-grown forests. Combining these characterization methods with new CNT processing methods could enable the engineering of macro-scale CNT assemblies that exhibit significantly improved bulk properties.

| S-EPMC3122112 | biostudies-other

First Generation Amperometric Biosensing of Galactose with Xerogel-Carbon Nanotube Layer-By-Layer Assemblies.

Project description:A first-generation amperometric galactose biosensor has been systematically developed utilizing layer-by-layer (LbL) construction of xerogels, polymers, and carbon nanotubes toward a greater fundamental understanding of sensor design with these materials and the potential development of a more efficient galactosemia diagnostic tool for clinical application. The effect of several parameters (xerogel silane precursor, buffer pH, enzyme concentration, drying time and the inclusion of a polyurethane (PU) outer layer) on galactose sensitivity were investigated with the critical nature of xerogel selection being demonstrated. Xerogels formed from silanes with medium, aliphatic side chains were shown to exhibit significant enhancements in sensitivity with the addition of PU due to decreased enzyme leaching. Semi-permeable membranes of diaminobenzene and resorcinol copolymer and Nafion were used for selective discrimination against interferent species and the accompanying loss of sensitivity with adding layers was countered using functionalized, single-walled carbon nanotubes (CNTs). Optimized sensor performance included effective galactose sensitivity (0.037 μA/mM) across a useful diagnostic concentration range (0.5 mM to 7 mM), fast response time (~30 s), and low limits of detection (~80 μM) comparable to literature reports on galactose sensors. Additional modification with anionic polymer layers and/or nanoparticles allowed for galactose detection in blood serum samples and additional selectivity effectiveness.

| S-EPMC6359589 | biostudies-literature

Efficient Charge Transfer Channels in Reduced Graphene Oxide/Mesoporous TiO<sub>2</sub> Nanotube Heterojunction Assemblies toward Optimized Photocatalytic Hydrogen Evolution.

Project description:Interface engineering is usually considered to be an efficient strategy to promote the separation and migration of photoexcited electron-hole pairs and improve photocatalytic performance. Herein, reduced graphene oxide/mesoporous titanium dioxide nanotube heterojunction assemblies (rGO/TiO2) are fabricated via a facile hydrothermal method. The rGO is anchored on the surface of TiO2 nanosheet assembled nanotubes in a tightly manner due to the laminated effect, in which the formed heterojunction interface becomes efficient charge transfer channels to boost the photocatalytic performance. The resultant rGO/TiO2 heterojunction assemblies extend the photoresponse to the visible light region and exhibit an excellent photocatalytic hydrogen production rate of 932.9 μmol h-1 g-1 under simulated sunlight (AM 1.5G), which is much higher than that of pristine TiO2 nanotubes (768.4 μmol h-1 g-1). The enhancement can be ascribed to the formation of a heterojunction assembly, establishing effective charge transfer channels and favoring spatial charge separation, the introduced rGO acting as an electron acceptor and the two-dimensional mesoporous nanosheets structure supplying a large surface area and adequate surface active sites. This heterojunction assembly will have potential applications in energy fields.

| S-EPMC9103938 | biostudies-literature

Graphene oxide-carbon nanotube hybrid assemblies: cooperatively strengthened OH···O[double bond, length as m-dash]C hydrogen bonds and the removal of chemisorbed water.

Project description:Owing to their great significance for energy storage and sensing applications, multi-layer papers consisting of graphene oxide-carbon nanotube (GO-CNT) hybrid sheets were prepared by in situ exfoliation of graphite oxide in the presence of oxidized CNTs (oCNTs). For the first time we elucidate the influence of oCNTs on chemisorbed water (CW), i.e. the water molecules inherently bound to the oxygen functional groups (OFGs) of graphene oxide (GO) and responsible for irreversible structural damage upon thermal reduction processes. We show that oCNTs self-assemble onto GO sheets during the liquid phase processing steps by forming cooperatively strengthened OH···O[double bond, length as m-dash]C hydrogen bonds between the carboxylic groups of the oCNTs and OFGs of GO. At oCNT amounts of about 10 to 15 wt% this leads to the displacement of considerable amounts of CW without altering the original chemical composition of GO. The thermally reduced GO-CNT (rGO-CNT) papers reveal improved sp2 character and an enhancement of the specific capacitance by 75% with respect to thermally reduced GO (rGO), largely due to the effective removal of CW by oxidized CNTs. These findings disclose the relevance of the cooperative hydrogen bonding phenomena in graphene oxide paper/film electrodes for the development of improved electrochemical energy storage and sensing devices.

| S-EPMC5625303 | biostudies-literature

G2F assemblies

Project description:Genome assemblies of corn inbreds used by the G2F project

| PRJEB59044 | ENA

Purification-sequencing of RNA super-assemblies.

Project description:C. elegans oogenesis arrest offers a unique and biologically relevant opportunity to investigate how condensation reorganizes the transcriptome in the context of cellular adaptation to quiescence. To investigate how RNA self-organization into condensates controls mRNA cytosolic stoichiometries depending on sequence identity and translational activity, we adapted a new Fluorescent Activated Particle Sorting (FAPS) method to selectively sort germline P-bodies from C. elegans oocytes. Fluorescently labelled in oocytes, GFP:CAR-1 P-bodies were formaldehyde fixed and FAPS sorted from whole animal extracts by their size and fluorescence. We then performed gene expression profiling analysis using data obtained from RNA-seq of oocyte P-bodies, dissected oocytes and whole animal extracts.

2023-09-12 | GSE213222 | GEO

Functionalized carbon nanotube toxicity in Arabidopsis leaves

Project description:Polyethilenimine (PEI) functionalized single walled carbon nanotubes (SWNTs) and carbon-based nanomaterials enable delivery of DNA and RNA in plants. Given the broad-scale use of PEI-functionalized nanomaterials in plants, we sought to investigate the reaction of plant tissues to treatment with PEI-SWNTs and pristine SWNTs. To this end, we infiltrated Arabidopsis thaliana leaves with pristine single walled carbon nanotubes used in RNA silencing applications (SWNTs) and polyethyleneimine-functionalized SWNTs used for plasmid DNA delivery (PEI-SWNTs). We used Arabidopsis as it is a well characterized model plant, for which genomic and detailed gene function information is readily available. To minimize the effects caused by the introduction of exogenous nucleic acids, in SWNT preparations we used single stranded RNA targeting Green Fluorescent Protein (GFP) with no target sequence in the Arabidopsis genome, and a plasmid that expresses GFP in PEI-SWNT preparations. For our experiments herein, we used ~25-50 fold higher concentrations of SWNTs and PEI-SWNTs compared to standard concentrations used in biomolecule delivery assays. Water-infiltrated plant leaves served as a negative control to distinguish between the SWNT-specific response and the response to the infiltration process itself. We performed RNA sequencing (RNA-seq) with RNA extracted from leaves two days after infiltration to identify changes in the leaf transcriptomic profile in response to the three treatments, compared to non-infiltrated leaves.

2021-12-29 | GSE172278 | GEO

Catalytic peptide assemblies.

Project description:Self-assembly of molecules often results in new emerging properties. Even very short peptides can self-assemble into structures with a variety of physical and structural characteristics. Remarkably, many peptide assemblies show high catalytic activity in model reactions reaching efficiencies comparable to those found in natural enzymes by weight. In this review, we discuss different strategies used to rationally develop self-assembled peptide catalysts with natural and unnatural backbones as well as with metal-containing cofactors.

| S-EPMC6027653 | biostudies-literature

Single Nanotube Voltammetry: Current Fluctuations Are Due to Physical Motion of the Nanotube.

Project description:Nanoimpacts of single palladium-coated carbon nanotubes on a gold substrate are studied to elucidate the origins of the fluctuation in the current-time response of the hydrogen oxidation reaction mediated at its surface. The chronoamperometric and cyclic voltammetric responses from a single nanotube immobilized on the gold surface were compared to analogous data on a carbon substrate to determine the possible influence of substrate material on the nanotube-electrode electrical contact. No significant distinction between the gold and carbon was found, indicating in light of the considerable differences in the substrate materials' intrinsic electronic structures that it is the nanomotion of a nanotube at the electrode surface which is likely responsible for the observed current modulation. This nanomotion creates a varying contact resistance, to which the noise in the current-time signal of the mediated reaction is attributed. In addition, stochastic ex-situ adsorption of single nanotubes onto the gold electrode followed by careful drying of the electrode surface was found to drastically reduce the current fluctuation, again implying that a contact resistance arising from physical motion of the nanotube at the electrode is responsible for the modulation of current.

| S-EPMC4819518 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data