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231224s2017 xx |||||o 00| ||eng c |
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|a 10.1002/adma.201702090
|2 doi
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|a pubmed24n0909.xml
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|a (NLM)28612952
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Lin, Zuan-Tao
|e verfasserin
|4 aut
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| 245 |
1 |
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|a A Nanoparticle-Decorated Biomolecule-Responsive Polymer Enables Robust Signaling Cascade for Biosensing
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|c 2017
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 15.01.2019
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|a Date Revised 30.09.2020
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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|a To meet the increasing demands for ultrasensitivity in monitoring trace amounts of low-abundance early biomarkers or environmental toxins, the development of a robust sensing system is urgently needed. Here, a novel signal cascade strategy is reported via an ultrasensitive polymeric sensing system (UPSS) composed of gold nanoparticle (gNP)-decorated polymer, which enables gNP aggregation in polymeric network and electrical conductance change upon specific aptamer-based biomolecular recognition. Ultralow concentrations of thrombin (10-18 m) as well as a low molecular weight anatoxin (165 Da, 10-14 m) are detected selectively and reproducibly. The biomolecular recognition induced polymeric network shrinkage responses as well as dose-dependent responses of the UPSS are validated using in situ real-time atomic-force microscopy, representing the first instance of real-time detection of biomolecular binding-induced polymer shrinkage in soft matter. Furthermore, in situ real-time confocal laser scanning microscopy imaging reveals the dynamic process of gNP aggregation responses upon biomolecular binding
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|a Journal Article
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|a biomolecular recognition
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|a gold nanoparticles
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4 |
|a polymeric biosensors
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|a signal amplification
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|a Aptamers, Nucleotide
|2 NLM
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|a Polymers
|2 NLM
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|a Gold
|2 NLM
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|a 7440-57-5
|2 NLM
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| 650 |
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|a Thrombin
|2 NLM
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| 650 |
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7 |
|a EC 3.4.21.5
|2 NLM
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| 700 |
1 |
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|a Gu, Jianhua
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Li, Chien-Hung
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lee, T Randall
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xie, Lixin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chen, Shuo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Cao, Piao-Yang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jiang, Shan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yuan, Yulin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hong, Xia
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Hongting
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Dezhi
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Xifan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jiang, Gang-Biao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Heon, Mikala
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wu, Tianfu
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 29(2017), 31 vom: 28. Aug.
|w (DE-627)NLM098206397
|x 1521-4095
|7 nnns
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|g volume:29
|g year:2017
|g number:31
|g day:28
|g month:08
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|u http://dx.doi.org/10.1002/adma.201702090
|3 Volltext
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