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Graphene based biosensors—Accelerating medical diagnostics to new-dimensions

Published online by Cambridge University Press:  27 March 2017

Neha Chauhan
Affiliation:
Bio-Nano Electronics Research Centre, Graduate School of Interdisciplinary New Science, Toyo University, Kawagoe, Saitama 350–8585, Japan
Toru Maekawa
Affiliation:
Bio-Nano Electronics Research Centre, Graduate School of Interdisciplinary New Science, Toyo University, Kawagoe, Saitama 350–8585, Japan
Dasappan Nair Sakthi Kumar*
Affiliation:
Bio-Nano Electronics Research Centre, Graduate School of Interdisciplinary New Science, Toyo University, Kawagoe, Saitama 350–8585, Japan
*
a) Address all correspondence to this author. e-mail: sakthi@toyo.jp

Abstract

Graphene has emerged as a champion material for a variety of applications cutting across multiple disciplines in science and engineering. Graphene and its derivatives have displayed huge potential as a biosensing material due to their unique physicochemical properties, good electrical conductivity, optical properties, biocompatibility, ease of functionalization, and flexibility. Their widespread use in making biosensors has opened up new possibilities for early diagnosis of life-threatening diseases and real-time health monitoring. Following an introduction and discussion on the significance of fabrication protocols and assembly, this review is intended to assess why graphene is suitable to build better biosensors, the working of existing biosensing schemes and their current status toward commercialization for wearable diagnostic and prognostic devices. We believe this review will provide a critical insight for harnessing graphene as a suitable biosensor for the clinical diagnostics, its future prospects and challenges ahead.

Information

Type
Invited Reviews
Copyright
Copyright © Materials Research Society 2017 
Figure 0

FIG. 1. Schematic design representing the concept of ‘influence of surface-to-volume ratio’ on enhanced surface interactions between analyte molecules and different particle systems (microparticle, nanoparticle, and graphene) that eventually affects the overall electron conduction mechanism.

Figure 1

FIG. 2. Schematic illustration of the sensing tactics involved in a graphene-based biosensor for in vitro and in vivo applications.

Figure 2

FIG. 3. (a) Graphene and its derivatives facilitating biosensing platform. (b) Hexagonal honeycomb lattice of graphene with two atoms (A and B) per unit cell. (c) The 3D band-structure of graphene. (d) Dispersion of the states of graphene. (e) Approximation of the low energy band-structure as two cones touching at a single point (called Dirac point). The position of the Fermi level determines the nature of the doping and the transport carrier. (b–e) Adapted with permission from Ref. 39 Copyright (2010) American Chemical Society.

Figure 3

FIG. 4. Schematic representation of (a) top-to-down, (b) bottom-to-up approaches involved in graphene synthesis. (c) Micromechanical cleavage. (d) Anodic bonding. (e) Photo-exfoliation. (f) Liquid phase exfoliation. (g) Growth on SiC. Gold and gray spheres represent Si and C atoms, respectively. At elevated temperatures, Si atoms evaporate (arrows), leaving a carbon-rich surface that forms graphene sheets. (h) Segregation/precipitation from carbon containing metal substrate. (i) Chemical vapor deposition. (j) Molecular beam epitaxy. (k) Chemical synthesis using benzene as building block. (c–k) Adapted with permission from Ref. 67 Copyright (2012) Elsevier Ltd.

Figure 4

FIG. 5. (a) Schematic representation of graphene-based FET biosensor device and its transfer characteristics with the band structures for each regime and (b) changes in transfer characteristics due to electrostatic gating by charged analyte molecules. GNM-FET biosensor. (c) Schematic illustration of the fabrication of GNM FET biosensor. (d) GNM FET biosensor integrated on the PDMS film and attached on the human skin. Enlarged views: corresponding schematic structure of the flexible biosensor. (e) Transfer characteristics of solution-gated GNM FET biosensor in response to HER2 protein concentrations ranging from 0.0001 to 200 ng/mL. The Vd is set at a fixed value of −0.1 V. (f) Magnified curve of (e) in the Vg range of −0.2 to 0.1 V. (g) Current change (ΔId,HER2) versus HER2 concentration (CHER2). The error bars present the standard deviations for three measurements. (c–g) Adapted with permission from Ref. 98 Copyright (2016) WILEY-VCH Verlag GmbH & Vo. KGa, Weinheim.

Figure 5

TABLE I. Summary of graphene and its derivative based biosensors with their performance and potential applications.

Figure 6

FIG. 6. Schematic diagram of functional anatomy of human olfactory system and components of MSB-noses simulating each functional stages of human nose. (a) Olfactory bulb, where the olfactory signals generated by OSNs are combined for the generation of combinatorial olfactory codes, matching with artificial olfactory codes generated by MSB-nose. (b) Olfactory sensory neurons (OSNs), where olfactory signals triggered by the specific binding of hORs and odorants, matching with GMs functionalized with hORs. (c) hORs for the specific recognition of odorants. (d) Illumination of specific interaction between hOR and odorant. Adapted with permission from Ref. 107 Copyright (2015) American Chemical Society.

Figure 7

FIG. 7. Photoluminescent lateral flow test revealed by GO for pathogen detection. (a) Schematic representation. QDs are printed on nitrocellulose substrate as control line. Antibody-decorated quantum dots are printed on the same substrate as test line. The sample flows from the sample pad (SP) to the absorbent pad (AP). Upon excitation, the control line is always quenched by a GO flow (since the distance between QDs energy transfer donors and GO acceptor is minimum). The test line is quenched by a GO flow when the analyte is not present. The contrary, when the analyte is present it is selectively captured and the test line will not be significantly quenched when compared with the control line (since the distance between donor and acceptor exceeds the nanoscale due to the analyte size). (b) Portable lateral flow reader and typical positive/negative response of the test. The graph contains the profile of the original intensity of the strip (dotted line), the final intensity of a positive assay (red line) and the final intensity of a negative assay (green line). (c) Schematic of the trypsin quantification by FRET-based modified GQDs nanoprobe. Originally, the FRET from the GQD (460 nm) to CMR2 (520 nm) on BSA occurred due to the close proximity of GQD and CMR2. In the presence of trypsin, BSA would be digested and FRET system is dissembled. As a consequence, emission intensity at 460 nm increases and that at 520 nm diminishes. (d) The emission spectra of the nanoassembly in the presence of trypsin at different concentrations; and (e) a photo of nanoprobe (GQD-BSA, left), GQD-BSA-CMR2 (middle) and GQD-BSA-CMR2 with trypsin (right) under exposure of a hand-held UV lamp. (a–b) Adapted with permission from Ref. 126 Copyright (2015) American Chemical Society and (c–e) Ref. 127 Copyright (2016) Elsevier B.V.

Figure 8

FIG. 8. (a) In vivo amperometric experimental setup of laser-inducing ischemic stroke and neural probe with rGO/Au2O3 electrode by chloride ion (Cl) induced effect. (b) Schematic illustration of bio-electrochemically multifunctional film and (c) OECS with BMF-based biosensor as detector. (a) Adapted with permission from Ref. 142 Copyright (2015) American Chemical Society and (b–c) Ref. 143 Copyright (2016) American Chemical Society.

Figure 9

FIG. 9. (a) Schematic concept of a polymer–GO microfluidic device for the capture/release of CTCs. (b) Enclosure within PDMS chamber and photograph of patient blood samples being processed by the polymer–GO devices. Adapted with permission from Ref. 152 Copyright (2016) WILEY-VCH Verlag GmbH & Vo. KGa, Weinheim.

Figure 10

FIG. 10. Biotransferrable graphene wireless nanosensor. (a) Graphene is printed onto bioresorbable silk and contacts are formed containing a wireless coil. (b) Biotransfer of the nanosensing architecture onto the surface of a tooth. (c) Magnified schematic of the sensing element, illustrating wireless readout. (d) Binding of pathogenic bacteria by peptides self-assembled on the graphene nanotransducer. Adapted with permission from Ref. 153 Copyright (2012) Macmillan Publishers Limited.