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Updated: Jan 23, 2026

Graphene Coatings for Biomedical Implants
Published on: March 1, 2013
Development of a Graphene-Based Surface Plasmon Resonance Optical Sensor Chip for Potential Biomedical Application
Nur Alia Sheh Omar1, Yap Wing Fen2,3, Silvan Saleviter4
1Institute of Advanced Technology, Universiti Putra Malaysia, UPM Serdang, 43400 Selangor, Malaysia. nuralia.upm@gmail.com.
This study combines graphene with surface plasmon resonance (SPR) for disease detection. The novel sensor effectively detects dengue virus (DENV) and cobalt ions (Co2+) at low concentrations.
Area of Science:
- Materials Science
- Biotechnology
- Analytical Chemistry
Background:
- Unintentional poisoning and vector-borne diseases necessitate advanced sensor technologies for early detection.
- Graphene-based materials offer unique properties for biosensing applications.
- Surface Plasmon Resonance (SPR) is a label-free technique for detecting molecular interactions.
Purpose of the Study:
- To develop and demonstrate a graphene-based SPR sensor for the rapid and quantitative detection of dengue virus (DENV) and cobalt ions (Co2+).
- To investigate the sensor's performance in terms of sensitivity, affinity, and selectivity.
Main Methods:
- Fabrication of two distinct graphene-based material sensor chips.
- Utilizing Surface Plasmon Resonance (SPR) to monitor changes upon analyte interaction with the graphene surface.
- Quantitative analysis of SPR signals for dengue virus (DENV) and cobalt ions (Co2+).
Main Results:
- The graphene-SPR sensor successfully detected dengue virus (DENV) at concentrations as low as 0.1 pM.
- The sensor also detected cobalt ions (Co2+) with a limit of detection of 0.1 ppm.
- The study provides detailed insights into the sensor's sensitivity, affinity, and selectivity.
Conclusions:
- Graphene-based SPR sensors offer a promising platform for the sensitive and selective detection of both biological analytes like DENV and metal ions like Co2+.
- This technology can contribute to improved diagnostics for vector-borne diseases and environmental monitoring.
- Further research can optimize the sensor for broader applications in disease surveillance and toxicology.
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