Highly sensitive carboxyl-graphene oxide-based SPR immunosensor for the detection of CA19-9 biomarker

Nan Fu Chiu*, Shi Yuan Fan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This study presents an ultra-sensitive carboxyl-functionalized graphene oxide (GO-COOH)-based surface plasmon resonance (SPR) immunosensor using Carbohydrate antigen (CA) 199 (CA199) biomarker to detect pancreatic cancer. A study of the effect of carboxyl-GO-based biocompatible composites with protein on sensing adhesion and diagnostic engineering is an useful technique. The optical and sensing properties of carboxyl-GO sheets improved sensitivity and affinity for molecular detection of biomarker. In the experiment, the SPR biosensor with carboxyl modified graphene oxide as substrate was tested to detect the immune response of CA 199. The literature indicates that 79% of pancreatic cancer patients have carbohydrate antigen 19-9 content above 37 unit/ml. The experimental results show that the lowest antigen detection limit of surface plasmon resonance biochip with carboxyl modified graphene oxide as the substrate can reach 10 unit/ml.

Original languageEnglish
Title of host publicationOptical Sensors 2019
EditorsFrancesco Baldini, Jiri Homola, Robert A. Lieberman
PublisherSPIE
ISBN (Electronic)9781510627222
DOIs
Publication statusPublished - 2019
EventOptical Sensors 2019 - Prague, Czech Republic
Duration: 2019 Apr 12019 Apr 4

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11028
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptical Sensors 2019
Country/TerritoryCzech Republic
CityPrague
Period2019/04/012019/04/04

Keywords

  • Biosensor
  • Carbohydrate antigen (CA) 199
  • Carboxyl-functionalized graphene oxide (GO-COOH)
  • Immunosensor
  • Surface plasmon resonance (SPR)

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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