17447799

Source:http://linkedlifedata.com/resource/pubmed/id/17447799

Download in:

Switch to

Custom View

Named Graph Language Inference

Statements in which the resource exists as a subject.
Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0812409
pubmed:issue	11
pubmed:dateCreated	2007-5-15
pubmed:abstractText	We present a novel approach for the fabrication of tailored nanomorphology gradients on metal oxide surfaces. We first show the direct formation of a nanocolloidal density gradient by a dip-coating process. The obtained silica nanoparticle gradients are then subjected to a heat treatment. Control of this sintering step allows the precise tailoring of the particle morphology on the surface. Both these processes together provide a new tool to form precise, tunable, and material-independent nanomorphology gradients.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9882736
pubmed:status	PubMed-not-MEDLINE
pubmed:month	May
pubmed:issn	0743-7463
pubmed:author	pubmed-author:HuwilerChristophC, pubmed-author:KunzlerTobias PTP, pubmed-author:SpencerNicholas DND, pubmed-author:TextorMarcusM, pubmed-author:VörösJanosJ
pubmed:issnType	Print
pubmed:day	22
pubmed:volume	23
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	5929-35
pubmed:year	2007
pubmed:articleTitle	Functionalizable Nanomorphology Gradients via Colloidal Self-Assembly.
pubmed:affiliation	Laboratory of Biosensors and Bioelectronics, Institute of Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zürich, Gloriastrasse 35, CH-8092 Zurich, Switzerland.
pubmed:publicationType	Journal Article