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Graphene based biosensors for healthcare

Published online by Cambridge University Press:  16 May 2017

Trupti Terse-Thakoor*
Affiliation:
Department of Bioengineering, University of California, Riverside, California 92521, USA
Sushmee Badhulika
Affiliation:
Department of Electrical Engineering, Indian Institute of Technology, 502285 Hyderabad, India
Ashok Mulchandani*
Affiliation:
Department of Chemical & Environmental Engineering, University of California, Riverside, California 92521, USA
*
a) Address all correspondence to these authors. e-mail: tters001@ucr.edu
b) e-mail: adani@engr.ucr.edu

Abstract

Graphene due to its unique physicochemical properties mainly its large surface to volume ratio, excellent thermal and electrical conductivity, biocompatibility, as well as broad electrochemical potential, has received considerable attention for biosensing applications. In this review paper, we provide a comprehensive overview of the recent advances in the field of electrochemical biosensors developed using the graphene nanomaterial including graphene oxide, reduced graphene oxide, CVD graphene, and various graphene based nanostructures including nanomesh, nanowalls, etc. in healthcare related applications. The review focusses on material synthesis, device fabrication, and biofunctionalization of graphene electrodes in biosensing such as those based on electrochemical impedance, amperometry/voltammetry, potentiometry, conductometry, and field effect transistor. Additionally, several ingenious biosensing strategies of graphene biosensor in clinical diagnosis for detection of proteins (disease biomarkers), nucleic acids (mutation analysis in genetic diseases), small molecules (disease metabolites like glucose, lactic acid etc.), and pathogens (bacterial and viral infections) have also been discussed.

Information

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

FIG. 1. Schematic of electrochemical/electrical biosensor design.

Figure 1

FIG. 2. Mechanically exfoliated graphene (a) schematic of scotch tape method (b) optical image of monolayer graphene on SiO2/Si produced by scotch tape. Adapted from Ref. 9 chemically exfoliated graphene (c) Schematic of Hummer’s method of exfoliating graphene layers from graphite. Adapted from Ref. 10. Reprinted with permission from John Wiley and Sons (2011) (d) optical and SEM image of GO. Adapted from Ref. 11.

Figure 2

FIG. 3. (a) Schematic of typical CVD set up. Adapted from Ref. 13. (b) Sketch of graphene growth by both direct chemisorptions/deposition on Cu (step 1 to 3) and precipitation/segregation on Ni (step 1, 2, 4, 5, and 6). Adapted from Ref. 14. SEM image of graphene grown on Cu foil (c) monolayer graphene grains. Reprinted by permission from Macmillan Publishers Ltd: [Nature communications] Ref. 15, copyright (2013) (d) continuous graphene film. (e) Multilayer graphene film grown on Ni foil and transferred on SiO2/Si on Ni foam. Adapted from Ref. 16. Reprinted with permission from Elsevier (2012) (f) optical image of 3D graphene foam. (g) SEM image of graphene foam. Adapted from Ref. 17 with permission of The Royal Society of Chemistry (2014).

Figure 3

FIG. 4. SEM images (a) multiwalled carbon nanotubes (MWCNTs) before chemical unzipping. Adapted from Ref. 46. (b) Graphene oxide nanoribbons (GONRs) prepared by chemical unzipping of MWCNTs. Adapted from Ref. 46 with permission of The Royal Society of Chemistry (2011). (c) MGNFs grown by microwave plasma enhanced CVD (MPCVD). Adapted from Ref. 35. Reprinted with permission from John Wiley and Sons (2008) and (d) graphene nanowalls synthesized by electrophoretic deposition (EPD). Adapted from Ref. 43. Reprinted with permission from American Chemical Society (2012).

Figure 4

FIG. 5. Three electrode set up for electrochemical measurements using (a) conventional and (b) screen printed disposable designs. Adapted from Ref. 53. Fabrication of graphene working electrodes by (c) simple drop casting and (d) self-assembled monolayer (SAM) of ATBD cation and negatively charged GO. Adapted from Ref. 52. Reprinted with permission from American Chemical Society (2012).

Figure 5

FIG. 6. FET-based graphene biosensor design: back gated G-FET (a) device structure and the circuit diagram corresponding to measurement of ISD (VG) Adapted from Ref. 55. Reprinted by permission from Macmillan Publishers Ltd: [Nature communications], copyright (2013). (b) Liquid gated G-FET using RGONR thin film as a conducting channel with Ag/AgCl electrode immersed in phosphate buffer saline for applying the gate voltage and electrodes are insulated using silicon rubber. Adapted from Ref. 46 with permission of The Royal Society of Chemistry (2011).

Figure 6

FIG. 7. Schematic representation of noncovalent functionalization of graphene using 3,4,9,10-perylene tetracarboxylic acid (PTCA) linker to introduce carboxylic groups and subsequent functionalization with probe ssDNA. Adapted from Ref. 47 with permission of The Royal Society of Chemistry (2010).

Figure 7

FIG. 8. Schematic of the protocol and Nyquist plots for “signal-off” impedimetric DNA biosensing of the graphene surface (gray), hairpin pDNA (blue), complementary target (red), 1-mismatch target (green), and negative control with a noncomplementary sequence (black). All measurements were performed in PBS buffer solution containing K3[Fe(CN)6]/K4[Fe(CN)6]. Adapted from Ref. 69. Reprinted with permission from American Chemical Society (2011).

Figure 8

FIG. 9. Schematic diagram of the fabrication of the impedimetric DNA biosensor and the detection of target DNA for “signal-on” mode impedimetric DNA biosensing. Adapted from Ref. 58 with permission of The Royal Society of Chemistry (2015).

Figure 9

FIG. 10. Schematic illustration of the steps involved in the preparation of the electrochemical DNA biosensor for the detection of the TP53 gene using rGO−CMC hybrid nanomaterial as a scaffold [(a) the long TP53 capture probe (lcpp53) or (b) the short (spp53) TP53 capture probe] and labeling with Strep-HRP (relative sizes of the components are not drawn on a real scale). Adapted from Ref. 70. Reprinted with permission from American Chemical Society (2015).

Figure 10

FIG. 11. (a) Schematic illustration of the graphene device operated by liquid gating. Middle is an optical microscopy image of the graphene films. Bottom shows the DNA sequences used in the experiments. Transfer characteristics for the graphene transistors before adding DNA, after immobilization with probe DNA, and after reaction with (b) complementary or (c) one-base mismatched DNA molecules with the concentration ranging from 0.01 to 500 nM. Adapted from Ref. 56. Reprinted with permission from John Wiley and Sons (2010).

Figure 11

TABLE I. Summary of recently reported DNA biosensors using graphene based electrodes.

Figure 12

FIG. 12. (a) Schematic illustration of the multienzyme labeling amplification strategy using HRP-p53392Ab2-GO conjugate. (b) Square wave voltammetry curves acquired at HRP-p53392Ab2-GO/phosphop53392/Ab1/NHS/AuNPs-SPCE after incubation with (a) 0–5 ng mL-1 phospho-p53392 antigen in pH 7.4 PBS containing 25 μM thionine and 2 mM H2O2. (c) Calibration plots of the (a) proposed HRP-p53392Ab2-GO/phospho-p53392/Ab1/NHS/AuNPs-SPCE and (b) traditional HRP-streptavidin-biotin-p53392Ab2/phospho-p53392/Ab1/NHS/AuNPs-SPCE for detecting phospho-p53392 antigen. Adapted from Ref. 85. Reprinted with permission from American Chemical Society (2011).

Figure 13

FIG. 13. Suspended, single crystalline graphene (SCG) sensor fabrication. (a–d) process. (a) Transfer SCGs from copper foil onto SiO2/Si substrate by PMMA assisted process. (b) Choose a SCG and fabricate metal electrodes on it. (c) Etch SCG into rectangular beam shape. (d) Etch SiO2 beneath to release the suspended SCG beam. (e) SEM image of a suspended SCG beam. (f) AFM topographic image of a SCG beam. (g) The AFM lines scan of SCG beam marked with white dot line confirming SCG is suspended and the distance between the beam and substrate is about 300 nm. Adapted from Ref. 90. Reprinted with permission from Elsevier (2015).

Figure 14

FIG. 14. (a) Schematic illustration of immunoreaction of suspended SCG biosensor. (b) The SCG sensor’s response to 3 different types of lung cancer tumor markers. Tumor markers with higher concentration result in larger resistance shift of the sensor. (c) Comparison of low-frequency noise in polycrystalline graphene, nonsuspended SCG and suspended SCG. Suspended SCG has the smallest low-frequency noise. Adapted from Ref. 90. Reprinted with permission from Elsevier (2015).

Figure 15

FIG. 15. Schematic of RGO-FET fabrication and detection of PSA-ACT complex. (a) Self-assembly of GO nanosheets on amine SAM substrate and reduction to RGO. (b) Formation of Ti/Au source and drain electrodes, capping of the electrodes by Al2O3 and PDMS layers for minimization of leakage currents. (c) Functionalization of RGO channel by linker molecules, immobilization of PSA mAb to the linker molecules on RGO channel, and treatment of ethanolamine (ETA) for nonspecific binding. (d) Illustration of RGO-FET immunosensor with Pt reference electrode in the analyte solution. The immunoreactions between antibody (PSA mAb) and the antigen (PSA-ACT complex) caused changes in the carrier density in the RGO channel due to the doping effects. Adapted from Ref. 54. Reprinted with permission from Elsevier (2013).

Figure 16

FIG. 16. Detection characteristics of RGO-FET immunosensors. (a–b) σ-Vg plot of RGO-FET at a Vsd of 0.6 V with various concentrations of PSA-ACT complex in the analyte solutions at (a) pH 7.4 and (b) pH 6.2. (c) Shift in the minimum conductivity point (ΔVg,min) with the concentration of PSA-ACT complex in the pH 7.4 and pH 6.2 analyte solutions. The ΔVg,min value was obtained by calculating the difference in Vg,min as a reference for the device with no binding of PSA-ACT complex. Adapted from Ref. 54. Reprinted with permission from Elsevier (2013).

Figure 17

TABLE II. Summary of reports of graphene based biosensors in protein biomarkers detection and their performance.

Figure 18

FIG. 17. (a) Cyclic voltammograms of graphene-PFIL (dashed), graphite-GOx-PFIL (dotted), and graphene-GOx-PFIL (solid) modified electrodes in 0.05 M PBS solution (pH = 7.4) saturated with N2 at a scan rate of 0.05 V/s. (b) Cyclic voltammetric measurements at the graphene-GOx-PFIL modified GC electrode in various concentrations of glucose PBS solution saturated with O2: 2–14 mM from outer to inner. The inset is the calibration curve (R = 0.994) corresponding to amperometric responses at −0.49 V. Scan rate: 0.05 V/s. Adapted from Ref. 104. Reprinted with permission from American Chemical Society (2009).

Figure 19

FIG. 18. (a) Optical image of silk-based graphene FET glucose biosensors attached onto the wrist. Each patch contains 10 graphene FET biosensor channels. The inset is an SEM image of a typical graphene FET channel between source and drain electrodes. (b) Exploded-view schematic illustration of the silk-based graphene FET biosensors. Adapted from Ref. 106. Reprinted with permission from Elsevier (2014).

Figure 20

FIG. 19. (a) Charge transfer curves of silk/GOx functionalized graphene FET in response to the addition of glucose to various concentrations at Vds = 100 mV. (b) The response curve of the silk/GOx functionalized graphene FET to glucose at Vg = 0 V. Adapted from Ref. 106. Reprinted with permission from Elsevier (2014).

Figure 21

TABLE III. Examples of graphene based electrodes in other metabolites/small molecules sensing.

Figure 22

FIG. 20. Schematic illustration for fabricating an MRGO-FET. Adapted from Ref. 131. Reprinted with permission from Elsevier (2013).

Figure 23

FIG. 21. (a) Schematics of the MRGO-FET based rotavirus detection. (1) 1-Pyrenebutyric acid N-hydroxysuccinimide ester (PSE) modification, (2) blocking of the gold electrode by 1-dodecanethiol (DDT), (3) antibody immobilization and blocking the MRGO surface by ethanolamine, (4) rotavirus capture and (5) electrical signal detection. (b) Real-time and label-free virus detection on the MRGO-FET device at Vds = 0.1 V. (b) Current response of the MRGO-FET device depending on the concentration of a rotavirus sample [blank (black), 10 (red), 102 (blue), 103 (green), 104 (pink), and 105 pfu/mL (yellow)], (c) calibration plot of the detection. Adapted from Ref. 131. Reprinted with permission from Elsevier (2013).

Figure 24

FIG. 22. (a) Illustration of anti-E. coli antibody functionalized graphene-FET for detection of E. coli. Inset: scanning electron microscopy (SEM) image of an E. coli on antibody functionalized graphene. (b) Ids versus Vds curves of anti-E. coli antibody functionalized graphene device after incubated with E. coli of different concentrations. Vg = 0 V. (c) Real-time current recording (Vds = 100 mV and Vg = 0 V) of a graphene device immobilized with E. coli bacteria with addition of glucose to the PBS recording buffer at the indicated time points to reach the final concentrations of 0.5, 1, 1.5, and 2 mM. Adapted from Ref. 60 with permission of The Royal Society of Chemistry (2011).

Figure 25

TABLE IV. Summary of the recently reported pathogen biosensors using graphene based electrodes.