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International Journal of
eISSN: 2573-2838

Biosensors & Bioelectronics

Mini Review Volume 3 Issue 1

Recent trends in the development of electrochemical glucose biosensors

Gul Rahman,1 Shabeer Ahmad Mian2

1University of Peshawar, Pakistan
2Department of Physics, University of Peshawar, Pakistan

Correspondence: Gul Rahman, Institute of Chemical Sciences, University of Peshawar, 25120, Peshawar, Pakistan

Received: May 19, 2017 | Published: August 29, 2017

Citation: Rahman G, Mian SA. Recent trends in the development of electrochemical glucose biosensors. Int J Biosen Bioelectron. 2017;3(1):210–213. DOI: 10.15406/ijbsbe.2017.03.00051

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Abstract

Glucose sensing is of great significance as diabetes is becoming one of the biggest health care challenges of the near future. Substantial effort has been made to design and develop novel glucose monitoring devices. The aim of this review is to provide a brief overview of the recent trends in the development of glucose biosensors based on electrochemical detection procedure. A brief introduction to glucose biosensor is presented, with attention given to the challenges in non-enzymatic and enzymatic electrochemical glucose biosensors. Special emphasis is given to discussion on biocompatible conducting polymer and its derivatives used in the fabrication of electrochemical glucose biosensors.

Keywords: glucose, biosensor, electrochemical, enzymatic, non-enzymatic

Abbreviations

PANI, polyaninline; GOx, glucose oxidase; SWCNH, single-walled carbon nanohorns

Introduction

The research interest behind the development of glucose monitoring systems is in fact firmly related to diabetes mellitus, a group of endocrine disorders marked by abnormal levels of glucose in the blood.1,2 World Health Organization (WHO) has recently reported about 422 million people around the globe suffered from this disease.3 Diabetes is categorized mainly into two types. In type 1, the immune system wrongly identifies and attacks pancreatic beta cells that are responsible for insulin production. As a result, not enough insulin is produced by the pancreas. In case of type 2, human body become insensitive to insulin due to persistent overexposure to glucose.4 Regardless of the cause of diseases, both types are equally contributing to the complications such as kidney failure, blindness, cardiovascular disease, non healing of wounds, and neurological disorders.4,5 Therefore, maintaining the level of glucose in human blood is of great clinical importance, and accordingly the glucose biosensors industry is growing rapidly. In the last 30 years, a lot of struggles have been made to develop sensitive and selective glucose biosensors.6 For the detection of glucose, two methods namely optical and electrochemical have been used. In optical methods, photons are measured which do not require wire connection, thereby making them very useful for bioimaging and in vivo biosensing. These methods include absorptiometry, reflectometry, surface plasmon resonance and fluorescence.7,8 Electrochemical methods, especially amperometric methods, have been extensively employed in glucose sensing because of its promising characteristics such as rapid response, high sensitivity, and convenient operation.9

Discussion

There are two categories of glucose sensors i.e., enzymatic and nonenzymatic. The conventional enzymatic glucose sensors involve the use of glucose oxidase (GOx), where GOx catalyzes the oxidation of glucose in the presence of O2 to produce hydrogen peroxide. During this reaction, two electrons and protons are exchanged. The reaction with glucose oxidase enzyme is shown in the following equation:

GOx MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbiqaaq7ajugiba baaaaaaaaapeGaam4raiaad+eacaWG4baaaa@39FC@

Glucose+  O 2 Gluconolactone+  H 2 O 2 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqcLbsaqaaaaa aaaaWdbiaabEeacaqGSbGaaeyDaiaabogacaqGVbGaae4Caiaabwga cqGHRaWkcaqGGcGaae4taKqba+aadaWgaaqaaKqzadWdbiaaikdaaK qba+aabeaajugib8qacqGHsgIRcaqGhbGaaeiBaiaabwhacaqGJbGa ae4Baiaab6gacaqGVbGaaeiBaiaabggacaqGJbGaaeiDaiaab+gaca qGUbGaaeyzaiabgUcaRiaabckacaqGibqcfa4damaaBaaabaqcLbma peGaaGOmaaqcfa4daeqaaKqzGeWdbiaab+eal8aadaWgaaqcfayaaK qzadWdbiaaikdaaKqba+aabeaaaaa@5DA2@

Glucose concentration is determined by monitoring either the consumption of O2 or the generation of H2O2 during this process. Oxygen measurement is usually limited by the error associated to dissolved oxygen. When there is oxygen deficiency in the body fluid, this method cannot be used. On the other hand, the amount of H2O2 produced is usually determined by amperometric method by oxidation at the working electrode. This method however utilizes high anodic potential which results in electroactive interference, thus affecting the response signals. Non-enzymatic glucose sensing is a direct approach of monitoring glucose level based on the oxidation or reduction of glucose without using enzymes. This method is rapid and cost-effective. Usually noble metals such as Pt and Au and their composites have been utilized to fabricate non-enzymatic biosensors.10,11 However, direction electrooxidation of glucose on noble metals leads to a number of issues such as sluggish glucose oxidation kinetics, poisoning of the electrodes due to adsorbed intermediate species and poor selectivity.12 Apart from Pt and Au, other materials such as graphene and carbon nanotubes have also been tested as electrode material for the development of non-enzymatic glucose biosensors13,14 (Table 1).

Electrode

Enzyme Immobilization

Selectivity

Detection Range

Detection

Reference

GOx/PANI

Entrapment of GOx in PANI matrix

Permeable to oxygen

0-5 mM

Oxygen

15

GOx/poly(p-phenylenediamine)

Entrapment

Interfering species such as Lactose, sucrose, urea

1-6 mM

Hydrogen peroxide

16

GOx/Poly-2-aminoaniline

Covalent

Interference from ascorbic acid

0.2-20 mM

Amperometry

17

GOx/PANI/polyisoprene

Entrapment

Limit ascorbic acid

0.01-12 mM

Hydrogen peroxide

18

Nafion/GOx/AuNPs/PANI

Cross-linking

Negligible interference from ascorbic acid

0.001-0.8 Mm/L

Hydrogen peroxide

19

GOx-PANI nanofibers

Covalent

No effect on the response with addition of ascorbic acid, uric acid and 4-acetamidophenol

0.01-1 mM

Direct electrochemistry

20

GOx-PANI nanotubes

Entrapment

No effect on the response with addition of ascorbic acid, uric acid and 4-acetamidophenol

0.01-5mM

Direct electrochemistry

21

GOx/dendrimer-encapsulated Pt nanoparticles/PANI/CNT

Cross-linking

Effective screening of uric acid, acetaminophen, ascorbic acid

0.001-12 mM

Hydrogen peroxide

22

GOx/PtNPs/MWCNT-PANI

Covalent and adsorption

Any interferences

0.003-8.2 mM

Amperometry

23

GOx/AuNPs/PANI nanowires

Covalent

Any interferneces

0.001-20 mM

Amperometry

24

GOx/TiO2/PANI/GC

Cross-linking

Negligible effect with addition of uric acid, ascorbic acid, and L-cysteine

0.02-6 mM

Direct electrocatalysis

25

GOx/PANI-TiO2 nanotubes

Immobilization via Nafion

Efficient elimination of interferences of uric acid, ascorbic acid, and acetaminophen

0.01-2.5 mM

Direct electrochemistry

26

Table 1 PANI and its composites for electrochemical glucose sensing

To improve the performance of glucose biosensors, efforts have been made to search out new materials with enhanced electrical and surface properties. Conducting polymers present unique class of materials with intriguing properties such as high electrical conductivity, low energy optical transitions, high election affinity, and low ionization potential. Because of these properties, they are considered as promising materials for the development of glucose biosensors.27,28 Various conducting polymers have been studied, including polypyrrole, polythiophene, polyacetylene, and PANI.29 In glucose biosensor, the function of these polymers is to provide a matrix for enzyme immobilization and facilitate the electron transfer in enzymatic or redox reaction. Among the conducting polymers, PANI has got recent attention due to its interesting characteristics such as high conductivity, good opto-electronic properties, environmental and electrochemical stability, biocompatibility, low cost, and easy doping de-doping chemistry.30

Shinohara et al. reported for the first time the use of PANI as a matrix for the immobilization of GOx in the fabrication of electrochemical biosensor.15 The quantity of glucose was determined by measuring the decrease in oxygen concentration due to the enzymatic reaction. Two approaches have been adapted for the GOx attachment to polyaniline. One, GOx is introduced during the synthesis of PANI which resulted the entrapping of GOx in the matrix of polymer. This method is simple and cost effective however leads to the inactivation of enzyme. Second approach accounts for the synthesis of PANI, followed by enzyme immobilization. With this, the reactivity of enzyme could be retained but the stability is affected, particularly when the size of the polymer particle is less than the enzyme molecule and enzyme just adsorb on the polymer surface. To increase the stability, Pan et al. introduced the template assisted immobilization of GOx on PANI. Their results showed good stability and improved glucose sensing performance of the designed sensor.31 In addition, PANI derivatives such as poly(p-phenylenediamine) and poly(o-amino benzoic acid)have been used for the construction of glucose biosensors.32,33 However, low stability and interference from cooxidizable substances such as ascorbic acid, uric acid etc., were the main bottlenecks in these systems.

In addition, PANI composites have been widely investigated for the design and development of glucose sensing devices. Polyaniline-benzoquinone and GOx-poly(o-aminobenzoic acid) mediated with tetrathiafulvalene and ferrocene carboxylic acid were employed for glucose sensing.33,34 The resultant structures showed better charge transport properties and overall enhanced glucose sensing performance. Hybrid structures of PANI and other materials such as carbon nanotubes (MWCNTs-PANI), Au nanoparticles (AuNPs/PANI), and Pt nanoparticles (PtNPs-PANI) have shown excellent performance with high stability, rapid response, and high selectivity.35–37 Besides, nanostructured PANI such as nanofibers, nanotubes, nanojunctions, and nanofibers have been tested for improving the performance of PANI-based glucose biosensors.20,21,28 They can be used as suitable matrix for enzyme immobilization and overall the development of stable and reliable glucose biosensors.

Moreover, carbon based-conducting materials such as graphene and carbon nanotubes have been largely exploited for glucose detection owing to their intriguing electrochemical and electrical properties. For instance, Hossain et al.38 combined glucose-treated graphene oxide-activated carbon (GRGO/AC) with Pt nanoparticle (PtNP)-glucose oxidase chitosan (Chit-GOx) and utilized it for glucose detection. The electrode exhibited a broad linear range from 0.002−10 mmol/L in urine sample. Other systems such as graphene/copper oxide nanocomposite,39 direct laser engraved graphene (DLEG) with pulse deposited copper nanotubes (CuNCs),40 zinc oxide (ZnO) nanorods on chemically reduced graphene (CRG),41 nickel oxide decorated graphene nanosheets (NiO/GNS),42 and copper nanowire decorated reduced graphene oxide (CuNWs/rGO)43 have been reported for electrochemical glucose sensing. Similarly, Single-walled carbon nanotubes (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) in its composite form have shown promising results in the detection of glucose as summarized in Table 2. Particularly, the sensor prepared by decorating silver nanoparticles on organic functionalized MWCNT glucose detection limit of as low as 0.03µM and a linear dynamic range of 1.3 to 1000µM.47

Electrode Composition

Sensitivity/µA mM-1 cm-2

Linear Range/mM

Limit of Detection/ µM

Reference

PtNP/GRGO-Chit-GOx

61.06

0.002-10

2

38

CuO/graphene

1065

0.001-8

1

39

CuNCs/DLEG

4532.2

0.025-4

0.25

40

ZnO/CRG

17.64

0.2-1.6

NA

41

NiO/GNS

NA

0.005-4.2

5

42

CuNWs/rGO

1625

Up to 11mM

0.2

43

Polyelectrolyte-SWCNTs

157

0.5-5

5

44

Nafion-SWCNH

15

0-6

6

45

MWCNTs-Chit nanowires

5.03 µA mM-1

10-Jan

NA

46

AgNPs/F-MWCNTs

1057.3 µA mM-1

0.0013-1.0

0.03

47

Table 2 Graphene and carbon nanotubes based materials for glucose biosensors

Conclusion

In summary, this review article highlights the recent research trend in the development of electrochemical glucose biosensors. Conducting polymer PANI, which is benefitted with many attractive properties such as high electrical conductivity, favorable storage ability, and biocompatibility, plays significant role in glucose sensing systems. It provides a favorable matrix for the immobilization of glucose oxidase enzymes thus reducing the loss of enzymes loss during reaction. In addition, it can act as electron mediator and therefore facilitates the charge transfer in enzymatic or redox reaction. Derivatives of PANI have shown promising results in glucose sensing devices. A lot of literature is dedicated to the use of PANI composites for electrochemical glucose sensing. Recently, the research focus is shifted to carbon-based conducting materials such as graphene and carbon nanotubes. Significant improvement in the sensitivity and performance has been achieved for electrochemical glucose sensing using graphene and CNT based nanostructured materials. These materials are expected to be ideal models for the fabrication of stable, sensitive, reliable glucose biosensors.

Acknowledgements

The authors acknowledge the support from Higher Education Commission Pakistan for financial support.

Conflict of interest

The author declares no conflict of interest.

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