Abstract
This chapter presents two-dimensional and one-dimensional-in-space mathematical models of mediated and unmediated (mediatorless) amperometric biosensors based on an enzyme-loaded carbon nanotube (CNT) layer deposited on the perforated membrane. The models are based on nonlinear reaction–diffusion equations and involve four regions: the enzyme and the CNT regions where enzymatic reactions as well as the mass transport by diffusion take place, a diffusion limiting layer where only the mass transport by diffusion takes place and a convective region where the analyte concentration is maintained constant. By changing input parameters the output results are numerically analysed with an emphasis to the influence of the geometry and the catalytic activity of the biosensors to their response and sensitivity. The mediatorless transfer of the electrons in the region of enzyme-loaded carbon nanotubes is especially investigated. The numerical simulation at transient conditions was carried out using the finite difference technique. The mathematical models and the numerical solutions were validated by experimental data . The obtained agreement between the simulation results and the experimental data was admissible at different concentrations of the substrate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ahammad AJS, Lee JJ, Rahman MA (2009) Electrochemical sensors based on carbon nanotubes. Sensors 9(4):2289–2319
Bakhvalov N, Panasenko G (1989) Homogenization: averaging processes in periodic media. Kluwer Academic Publishers, Dordrecht
Balasubramanian K, Burghard M (2006) Biosensors based on carbon nanotubes. Anal Bioanal Chem 385(3):452–468
Baronas R, Ivanauskas F, Survila A (2000) Simulation of electrochemical behavior of partially blocked electrodes under linear potential sweep conditions. J Math Chem 27(4):267–278
Baronas R, Ivanauskas F, Kulys J (2003) The influence of the enzyme membrane thickness on the response of amperometric biosensors. Sensors 3(7):248–262
Baronas R, Kulys J, Ivanauskas F (2006) Computational modeling of biosensors with perforated and selective membranes. J Math Chem 39(2):345–362
Baronas R, Ivanauskas F, Kulys J (2010) Mathematical modeling of biosensors. Springer, Dordrecht
Baronas R, Kulys J, Petrauskas K, Razumienė J (2011) Modelling carbon nanotube based biosensor. J Math Chem 49(5):995–1010
Baronas R, Kulys J, Petrauskas K, Razumiene J (2012) Modelling carbon nanotubes-based mediatorless biosensor. Sensors 12(7):9146–9160
Bartlett P, Whitaker R (1987) Electrochemical immobilisation of enzymes: part 1. Theory. J Electroanal Chem 224:27–35
Bertram R, Pernarowski M (1998) Glucose diffusion in pancreatic islets of Langerhans. Biophys J 74:1722–1731
Britz D, Strutwolf J (2016) Digital simulation in electrochemistry. Monographs in Electrochemistry, 4th edn. Springer, Cham
Britz D, Baronas R, Gaidamauskaitė E, Ivanauskas F (2009) Further comparisons of finite difference schemes for computational modelling of biosensors. Nonlinear Anal Model Control 14(4):419–433
Chaubey A, Malhotra BD (2002) Mediated biosensors. Biosens Bioelectron 17(6):441–456
Deslous C, Gabrielli C, Keddam M, Khalil A, Rosset R, Trobollet B, Zidoune M (1997) Impedance techniques at partially blocked electrodes by scale deposition. Electrochim Acta 42(8):1219–1233
Dhand C, Das M, Datta M, Malhotra B (2011) Recent advances in polyaniline based biosensors. Biosens Bioelectron 26(6):2811–2821
Ferapontova EE, Shleev S, Ruzgas T, Stoica L, Christenson A, Tkac, J, Yaropolov A, Gorton L (2005) Direct electrochemistry of proteins and enzymes. Perspect Bioanalysis 1(6–7):517–598
Ghindilis AL, Atanasov P, Wilkins E (1997) Enzyme-catalyzed direct electron transfer: fundamentals and analytical applications. Electroanal 9(9):661–674
Gooding JJ, Chou A, Liu J, Losic D, Shapter JG, Hibbert DB (2007) The effects of the lengths and orientations of single-walled carbon nanotubes on the electrochemistry of nanotube-modified electrodes. Electrochem Commun 9(7):1677–1683
Goyal A, Bairagi PK, Verma N (2020) Mathematical modelling of a non-enzymatic amperometric electrochemical biosensor for cholesterol. Electroanalysis 32:1–13
Gutfreund H (1995) Kinetics for the life sciences. Cambridge University Press, Cambridge
Habermüller K, Mosbach M, Schuhmann W (2000) Electron-transfer mechanisms in amperometric biosensors. Fresenius J Anal Chem 366(6):560–568
Hickson RI, Barry SI, Mercer GN, Sidhu HS (2011) Finite difference schemes for multilayer diffusion. Math Comput Model 54(1–2):210–220
Huang Y, Sudibya HG, Fu D, Xue R, Dong X, Li LJ, Chen P (2009) Label-free detection of ATP release from living astrocytes with high temporal resolution using carbon nanotube network. Biosens Bioelectron 24:2716–2720
Iijima S (1991) Helical microtubules of graphitic carbon. Nature 354:56–58
Jiang HJ, Yang H, Akins D (2008) Direct electrochemistry and electrocatalysis of catalase immobilized on a SWNT-nanocomposite film. J Electroanal Chem 623:181–186
Kaoui B, Lauricella M, Pontrelli G (2018) Mechanistic modelling of drug release from multi-layer capsules. Comput Biol Med 93:149–157
Kulys J, Samalius A, Svirmickas G (1980) Electron exchange between the enzyme active center and organic metal. FEBS Lett 114(1):7–10
Levich V (1962) Physicochemical hydrodynamics. Prentice-Hall, London
Lide DR (2004) Handbook of chemistry and physics, 85th edn. CRC Press, London
Lyons MEG (2009) Transport and kinetics at carbon nanotube-redox enzyme composite modified electrode biosensors. Int J Electrochem Sci 4(1):77–103
Lyons MEG (2009) Transport and kinetics at carbon nanotube-redox enzyme composite modified electrode biosensors part 2. Redox enzyme dispersed in nanotube mesh of finite thickness. Int J Electrochem Sci 4(9):1196–1236
Lyons M, Bannon T, Hinds G, Rebouillat S (1998) Reaction/diffusion with Michaelis-Menten kinetics in electroactive polymer films. Part 2. The transient amperometric response. Analyst 123(10):1947–1959
Mell L, Maloy T (1975) A model for the amperometric enzyme electrode obtained through digital simulation and applied to the immobilized glucose oxidase system. Anal Chem 47(2):299–307
Mello LD, Kubota LT (2002) Review of the use of biosensors as analytical tools in the food and drink industries. Food Chem 77(2):237–256
Mitchell A, Griffits D (1980) The finite difference methods in partial differential equations. Wiley, New York
Mu M, Clarke N, Composto RJ, Winey KI (2009) Polymer diffusion exhibits a minimum with increasing single-walled carbon nanotube concentration. Macromolecules 42(18):7091–7097
Petrauskas K, Baronas R (2009) Computational modelling of biosensors with an outer perforated membrane. Nonlinear Anal Model Control 14(1):85–102
Petrauskas K, Baronas R (2012) One-dimensional modelling of a carbon nanotube-based biosensor. In: Troitzsch KG, Möhring M, Lotzmann U (eds) Proceedings, 26th European conference on modelling and simulation ECMS 2012. Koblenz, Germany, pp 121–127
Press WH, Teukolsky SA, Vetterling WT, Flannery BP (2007) Numerical recipes: the art of scientific computing, 3rd edn. Cambridge University Press, Cambridge
Ratautas D, Marcinkevičienė L, Meškys R, Kulys J (2015) Mediatorless electron transfer in glucose dehydrogenase/laccase system adsorbed on carbon nanotubes. Electrochim Acta 174:940–944
Ratautas D, Ramonas E, Marcinkevičienė L, Meškys R, Kulys, J (2018) Wiring gold nanoparticles and redox enzymes: a self-sufficient nanocatalyst for the direct oxidation of carbohydrates with molecular oxygen. ChemCatChem 10(5):971–974
Razumienė J, Gurevičienė V, Barkauskas J, Bukauskas V, Šetkus A (2009) Novel combined template for amperometric biosensors with changeable selectivity. In: Biodevices 2009: Proceedings of the international conference on biomedical electronics and devices. SciTePress, Setúbal, pp 448–452
Razumienė J, Gurevičienė V, Voitechovic E, Barkauskas J, Bukauskas V, Šetkus A (2011) Fine structure and related properties of the assembleable carbon nanotubes based electrode for new family of biosensors with chooseable selectivity. J Nanosci Nanotechnol 11(2):9003–9011
Razumiene J, Gureviciene V, Sakinyte I, Barkauskas J, Petrauskas K, Baronas R (2013) Modified SWCNTs for reagentless glucose biosensor: electrochemical and mathematical characterization. Electroanal 25(1):166–173
Razumiene J, Sakinyte I, Barkauskas J, Baronas R (2015) Nano-structured carbon materials for improved biosensing applications. Appl Surf Sci 334:185–191
Samarskii A (2001) The theory of difference schemes. Marcel Dekker, New York-Basel
Scheller FW, Schubert F (1992) Biosensors. Elsevier Science, Amsterdam
Schulmeister T (1990) Mathematical modelling of the dynamic behaviour of amperometric enzyme electrodes. Sel Electrode Rev 12(2):203–260
Thévenot DR, Toth K, Durst RA, Wilson GS (2001) Electrochemical biosensors: recommended definitions and classification. Biosens Bioelectron 16(1–2):121–131
Turner APF, Karube I, Wilson GS (eds) (1990) Biosensors: fundamentals and applications. Oxford University Press, Oxford
Velkovsky M, Snider R, Cliffel DE, Wikswo JP (2011) Modeling the measurements of cellular fluxes in microbioreactor devices using thin enzyme electrodes. J Math Chem 49(1):251–275
Wang S, Zhang Q, Wang R, Yoona S (2003) A novel multi-walled carbon nanotube-based biosensor for glucose detection. Biochem Biophys Res Commun 311(3):572–576
Whitaker S (1999) The method of volume averaging. Theory and Applications of Transport in Porous Media. Kluwer, Boston
Wittmaack BK, HorairaBanna A, Volkov A, Zhigilei LV (2018) Boundedness in the higher-dimensional parabolic-parabolic chemotaxis system with logistic source. Carbon 130(8):69–86
Yang N, Chen X, Ren T, Zhang P, Yang D (2015) Carbon nanotube based biosensors. Sens Actuator B Chem 207(A):690–715
Yankov D (2004) Diffusion of glucose and maltose in polyacrylamide gel. Enzyme Microb Technol 34(6):603–610
Zhang W, Li G (2004) Third-generation biosensors based on the direct electron transfer of proteins. Anal Sci 20(4):603–609
Zhou Y, Fang Y, Ramasamy R (2019) Non-covalent functionalization of carbon nanotubes for electrochemical biosensor development. Sensors 19(2):392
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Baronas, R., Ivanauskas, F., Kulys, J. (2021). Modeling Carbon Nanotube Based Biosensors. In: Mathematical Modeling of Biosensors. Springer Series on Chemical Sensors and Biosensors, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-65505-1_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-65505-1_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-65504-4
Online ISBN: 978-3-030-65505-1
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)