TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Enhancing the sensitivity of high-throughput plasmonic biosensors with microfluidics
 
Options

Enhancing the sensitivity of high-throughput plasmonic biosensors with microfluidics

Publikationstyp
Conference Paper
Date Issued
2016
Sprache
English
Author(s)
Belushkin, A.
Yesilkoy, F.
Soler, M.
Tittl, Andreas  
Ozdemir, C.
Xiaokang, L.
Altug, H.
TORE-URI
https://hdl.handle.net/11420/62496
Start Page
1200
End Page
1201
Citation
20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, Microtas 2016
Contribution to Conference
20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016  
Scopus ID
2-s2.0-85014287362
Publisher
Curran
ISBN of container
978-0-9798-0649-0
978-1-5108-3416-3
This paper presents how the ultimate sensitivity of a surface-based plasmonic Au nanohole array (Au-NHA) biosensor can be enhanced by a proper microfluidic design, improving analyte delivery for protein-protein interactions and leading to 10 times better limit of detection (LOD). We demonstrate the correspondence of experimental in-situ results with theoretical and numerical estimations for different microfluidic channel designs.
Subjects
Biosensors
Microfluidics
Multiplexing
Plasmonics
DDC Class
620: Engineering
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback