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Label-free and ultrasensitive detection of microrna biomarkers in lung cancer cells based on silicon nanowire FET biosensors

  • A. Gao
  • , N. Lu
  • , P. Dai
  • , T. Li
  • , Y. Wang
  • CAS - Shanghai Institute of Microsystem and Information Technology
  • University of Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

MicroRNAs (miRNAs) have been regarded as biomarkers for early-stage diagnosis of cancer. Due to their short length, low abundance, and very similar sequences, an attractive approach that is ultrasensitive and label-free is extremely demanded. Here we report the design of a novel semiconducting silicon nanowire field-effect transistor (SiNW-FET) biosensor array for ultrasensitive label-free and real-time detection of miR-21. Optical lithography and anisotropic self-stop etching were employed to guarantee low cost batch production for SiNWs. The working conditions of the nanosensor were firstly optimized through pH sensing experiment. This SiNW-FET nanosensor under optimal conditions revealed ultrahigh sensitivity for repaid and reliable detection of 1 fM miR-21 and high specificity for single-nucleotide polymorphism discrimination.

Original languageEnglish
Title of host publication2013 Transducers and Eurosensors XXVII
Subtitle of host publicationThe 17th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS 2013
Pages2439-2442
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 17th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS 2013 - Barcelona, Spain
Duration: 16 Jun 201320 Jun 2013

Publication series

Name2013 Transducers and Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS 2013

Conference

Conference2013 17th International Conference on Solid-State Sensors, Actuators and Microsystems, TRANSDUCERS and EUROSENSORS 2013
Country/TerritorySpain
CityBarcelona
Period16/06/1320/06/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • SiNWs-FET
  • label-free
  • miRNA
  • ultrasensitive

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