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Graphene-based nanocomposites for sensitivity enhancement of surface plasmon resonance sensor for biological and chemical sensing: A review

Authors :
Sopan Nangare
Sanjay B. Bari
Pravin O. Patil
Zamir G. Khan
Ashwini G. Patil
Gaurav Pandey
D. R. Patil
Murugan Veerapandian
Prashant K. Deshmukh
Arun M. Patil
Vivek Borse
Mahesh P. More
Rahul S. Tade
Source :
Biosensorsbioelectronics. 139
Publication Year :
2019

Abstract

Surface plasmon resonance (SPR) offers exceptional advantages such as label-free, in-situ and real-time measurement ability that facilitates the study of molecular or chemical binding events. Besides, SPR lacks in the detection of various binding events, particularly involving low molecular weight molecules. This drawback ultimately resulted in the development of several sensitivity enhancement methodologies and their application in the various area. Among graphene materials, graphene-based nanocomposites stands out owing to its significant properties such as strong adsorption of molecules, signal amplification by optical, high carrier mobility, electronic bridging, ease of fabrication and therefore, have established as an important sensitivity enhancement substrate for SPR. Also, graphene-based nanocomposites could amplify the signal generated by plasmon material and increase the sensitivity of molecular detection up to femto to atto molar level. This review focuses on the current important developments made in the potential research avenue of SPR and fiber optics based SPR for chemical and biological sensing. Latest trends and challenges in engineering and applications of graphene-based nanocomposites enhanced sensors for detecting minute and low concentration biological and chemical analytes are reviewed comprehensively. This review may aid in futuristic designing approaches and application of grapheneous sensor platforms for sensitive plasmonic nano-sensors.

Details

ISSN :
18734235
Volume :
139
Database :
OpenAIRE
Journal :
Biosensorsbioelectronics
Accession number :
edsair.doi.dedup.....efd62e4648570fbdb3f57810f82b0118