Ultrasensitive and label-free detection of CYFRA21-1 using CMOS-compatible silicon nanowire biosensors

  • Na Lu
  • , Anran Gao
  • , Pengfei Dai
  • , Hongju Mao
  • , Yuelin Wang
  • , Tie Li*
  • *Corresponding author for this work

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

Abstract

CYFRA 21-1 was reported as the best concordance with NSCLC response, which has considerable potential for early diagnostic and prognosis of NSCLC. However, current methods for CYFRA 21-1 detection suffered from labor-intensive steps, low sensitivity, and high cost. Here we proposed a CMOS-compatible silicon nanowire field-effect-transistors (SiNW-FETs) with integrated PDMS microfluidic sample delivery system for ultrasensitive, label-free, and real-time detection of CYFRA 21-1. The nanosensors demonstrated a high sensitivity of CYFRA 21-1 as low as 1fg/mL, as well as good selectivity for other lung cancer biomarker CEA.

Original languageEnglish
Title of host publication18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014
PublisherChemical and Biological Microsystems Society
Pages2178-2180
Number of pages3
ISBN (Electronic)9780979806476
StatePublished - 2014
Externally publishedYes
Event18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014 - San Antonio, United States
Duration: 26 Oct 201430 Oct 2014

Publication series

Name18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014

Conference

Conference18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014
Country/TerritoryUnited States
CitySan Antonio
Period26/10/1430/10/14

Keywords

  • CYFRA21-1
  • Label-free
  • Silicon nanowire field-effect-transistors (SiNW-FETs)
  • Ultrasensitive

Fingerprint

Dive into the research topics of 'Ultrasensitive and label-free detection of CYFRA21-1 using CMOS-compatible silicon nanowire biosensors'. Together they form a unique fingerprint.

Cite this