Detection of folic acid protein in human serum using reduced graphene oxide electrodes modified by folic-acid

Lijie He, Qian Wang, Daniel Mandler, Musen Li, Rabah Boukherroub, Sabine Szunerits*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

51 Scopus citations


The detection of disease markers is considered an important step for early diagnosis of cancer. We design in this work a novel electrochemical sensing platform for the sensitive and selective detection of folic acid protein (FP). The platform is fabricated by electrophoretic deposition (EPD) of reduced graphene oxide (rGO) onto a gold electrode and post-functionalization of rGO with folic acid. Upon FP binding, a significant current decrease can be measured using differential pulse voltammetry (DPV). Using this scheme, a detection limit of 1. pM is achieved. Importantly, the method also allows the detection of FP in serum being thus an appealing approach for the sensitive detection of biomarkers in clinical samples.

Original languageAmerican English
Pages (from-to)389-395
Number of pages7
JournalBiosensors and Bioelectronics
StatePublished - 15 Jan 2016

Bibliographical note

Funding Information:
R.B. and S.S. gratefully acknowledge financial support from the Centre National de la Recherche Scientifique (CNRS), the University Lille 1 and Nord Pas de Calais region. S.S thanks the Institut Universitaire de France (IUF) for financial support. The support of the work under the Project PHC Hubert MAIMONIDE (Nr; 31774TD, 2014–2015) is acknowledged. This project is under the frame of an Israeli–French cooperation supported by a grant the Ministry of Science, Technology and Space, Israel .

Publisher Copyright:
© 2015 Elsevier B.V.


  • Biomarker
  • Differential pulse voltammetry
  • Folic acid
  • Folic acid protein
  • Reduced graphene oxide


Dive into the research topics of 'Detection of folic acid protein in human serum using reduced graphene oxide electrodes modified by folic-acid'. Together they form a unique fingerprint.

Cite this