Graphene biosensor programming by genetically engineered receptor modules

Research output: Contribution to conferenceConference AbstractScientific

Abstract

Biosensing devices based on nanostructures and graphene facilitate label-free detection with sensitivities beyond traditional methods. Specific biorecognition relies on selective immobilization of analytes on the close vicinity of the sensor surface. We demonstrate single-step functionalization of graphene biosensors by using surface-active hydrophobin proteins that have been biologically fused with a receptor moiety. The fusion proteins self-align to form a dense and specifically oriented receptor monolayer and can be easily detached from the surface for sensor re-programming. Detection sensitivities are in femtomolar range both for small charged peptide analytes and for large immunoglobulin antibodies in high ionic strength buffers resembling physiological media.
Original languageEnglish
Publication statusPublished - 2014
EventGraphene Week, 23 - 27 June 2014, Gothenburg, Sweden - Gothenburg, Sweden
Duration: 23 Jun 201427 Jun 2014

Conference

ConferenceGraphene Week, 23 - 27 June 2014, Gothenburg, Sweden
CountrySweden
CityGothenburg
Period23/06/1427/06/14

Fingerprint

Graphite
Biosensors
Sensors
Ionic strength
Immunoglobulins
Labels
Monolayers
Nanostructures
Buffers
Proteins
Fusion reactions
Peptides
Antibodies

Keywords

  • graphene
  • hydrophobin
  • fusion protein
  • biosensor

Cite this

Arpiainen, S., Kainlauri, M., Soikkeli, M., Kurppa, K., Joensuu, J., Laaksonen, P., ... Ahopelto, J. (2014). Graphene biosensor programming by genetically engineered receptor modules. Abstract from Graphene Week, 23 - 27 June 2014, Gothenburg, Sweden, Gothenburg, Sweden.
Arpiainen, Sanna ; Kainlauri, Markku ; Soikkeli, Miika ; Kurppa, Katri ; Joensuu, Jussi ; Laaksonen, Päivi ; Prunnila, Mika ; Linder, M. ; Ahopelto, Jouni. / Graphene biosensor programming by genetically engineered receptor modules. Abstract from Graphene Week, 23 - 27 June 2014, Gothenburg, Sweden, Gothenburg, Sweden.
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title = "Graphene biosensor programming by genetically engineered receptor modules",
abstract = "Biosensing devices based on nanostructures and graphene facilitate label-free detection with sensitivities beyond traditional methods. Specific biorecognition relies on selective immobilization of analytes on the close vicinity of the sensor surface. We demonstrate single-step functionalization of graphene biosensors by using surface-active hydrophobin proteins that have been biologically fused with a receptor moiety. The fusion proteins self-align to form a dense and specifically oriented receptor monolayer and can be easily detached from the surface for sensor re-programming. Detection sensitivities are in femtomolar range both for small charged peptide analytes and for large immunoglobulin antibodies in high ionic strength buffers resembling physiological media.",
keywords = "graphene, hydrophobin, fusion protein, biosensor",
author = "Sanna Arpiainen and Markku Kainlauri and Miika Soikkeli and Katri Kurppa and Jussi Joensuu and P{\"a}ivi Laaksonen and Mika Prunnila and M. Linder and Jouni Ahopelto",
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Arpiainen, S, Kainlauri, M, Soikkeli, M, Kurppa, K, Joensuu, J, Laaksonen, P, Prunnila, M, Linder, M & Ahopelto, J 2014, 'Graphene biosensor programming by genetically engineered receptor modules' Graphene Week, 23 - 27 June 2014, Gothenburg, Sweden, Gothenburg, Sweden, 23/06/14 - 27/06/14, .

Graphene biosensor programming by genetically engineered receptor modules. / Arpiainen, Sanna; Kainlauri, Markku; Soikkeli, Miika; Kurppa, Katri; Joensuu, Jussi; Laaksonen, Päivi; Prunnila, Mika; Linder, M.; Ahopelto, Jouni.

2014. Abstract from Graphene Week, 23 - 27 June 2014, Gothenburg, Sweden, Gothenburg, Sweden.

Research output: Contribution to conferenceConference AbstractScientific

TY - CONF

T1 - Graphene biosensor programming by genetically engineered receptor modules

AU - Arpiainen, Sanna

AU - Kainlauri, Markku

AU - Soikkeli, Miika

AU - Kurppa, Katri

AU - Joensuu, Jussi

AU - Laaksonen, Päivi

AU - Prunnila, Mika

AU - Linder, M.

AU - Ahopelto, Jouni

N1 - CA2: BA1114 CA2: BA3116 Project code: 73337

PY - 2014

Y1 - 2014

N2 - Biosensing devices based on nanostructures and graphene facilitate label-free detection with sensitivities beyond traditional methods. Specific biorecognition relies on selective immobilization of analytes on the close vicinity of the sensor surface. We demonstrate single-step functionalization of graphene biosensors by using surface-active hydrophobin proteins that have been biologically fused with a receptor moiety. The fusion proteins self-align to form a dense and specifically oriented receptor monolayer and can be easily detached from the surface for sensor re-programming. Detection sensitivities are in femtomolar range both for small charged peptide analytes and for large immunoglobulin antibodies in high ionic strength buffers resembling physiological media.

AB - Biosensing devices based on nanostructures and graphene facilitate label-free detection with sensitivities beyond traditional methods. Specific biorecognition relies on selective immobilization of analytes on the close vicinity of the sensor surface. We demonstrate single-step functionalization of graphene biosensors by using surface-active hydrophobin proteins that have been biologically fused with a receptor moiety. The fusion proteins self-align to form a dense and specifically oriented receptor monolayer and can be easily detached from the surface for sensor re-programming. Detection sensitivities are in femtomolar range both for small charged peptide analytes and for large immunoglobulin antibodies in high ionic strength buffers resembling physiological media.

KW - graphene

KW - hydrophobin

KW - fusion protein

KW - biosensor

M3 - Conference Abstract

ER -

Arpiainen S, Kainlauri M, Soikkeli M, Kurppa K, Joensuu J, Laaksonen P et al. Graphene biosensor programming by genetically engineered receptor modules. 2014. Abstract from Graphene Week, 23 - 27 June 2014, Gothenburg, Sweden, Gothenburg, Sweden.