About: Electrospun nanomaterials for ultrasensitive sensors

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Electrospun nanomaterials for ultrasensitive sensors
Creator	Ding, Bin Sun, Gang Wang, Moran Wang, Xianfeng Yu, Jianyong
topic	covid:6b3852137382755e2ca2ea0d3fe23ba8d0738b92#this
Source	Elsevier; Medline; PMC
abstract	Increasing demands for ever more sensitive sensors for global environmental monitoring, food inspection and medical diagnostics have led to an upsurge of interests in nanostructured materials such as nanofibers and nanowebs. Electrospinning exhibits the unique ability to produce diverse forms of fibrous assemblies. The remarkable specific surface area and high porosity bring electrospun nanomaterials highly attractive to ultrasensitive sensors and increasing importance in other nanotechnological applications. In this review, we summarize recent progress in developments of the electrospun nanomaterials with applications in some predominant sensing approaches such as acoustic wave, resistive, photoelectric, optical, amperometric, and so on, illustrate with examples how they work, and discuss their intrinsic fundamentals and optimization designs. We are expecting the review to pave the way for developing more sensitive and selective nanosensors.
has issue date	2010-10-28(xsd:dateTime)
bibo:doi	10.1016/s1369-7021(10)70200-5
bibo:pmid	32362770
has license	no-cc
sha1sum (hex)	6b3852137382755e2ca2ea0d3fe23ba8d0738b92
schema:url	https://doi.org/10.1016/s1369-7021%2810%2970200-5
resource representing a document's title	Electrospun nanomaterials for ultrasensitive sensors
has PubMed Central identifier	PMC7185416
has PubMed identifier	32362770
schema:publication	Mater Today (Kidlington)
resource representing a document's body	covid:6b3852137382755e2ca2ea0d3fe23ba8d0738b92#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/6b3852137382755e2ca2ea0d3fe23ba8d0738b92
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