Mechanistic modeling of cyclic voltammetry: A helpful tool for understanding biosensor principles and supporting design optimization
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| Název: | Mechanistic modeling of cyclic voltammetry: A helpful tool for understanding biosensor principles and supporting design optimization |
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| Autoři: | Semenova D., Zubov A., Silina Y. E., Micheli L., Koch M., Fernandes A. C., Gernaey K. V. |
| Přispěvatelé: | Semenova, D, Zubov, A, Silina, Ye, Micheli, L, Koch, M, Fernandes, Ac, Gernaey, Kv |
| Zdroj: | Semenova, D, Zubov, A, Silina, Y E, Micheli, L, Koch, M, Fernandes, A C & Gernaey, K V 2018, ' Mechanistic modeling of cyclic voltammetry: A helpful tool for understanding biosensor principles and supporting design optimization ', Sensors and Actuators B: Chemical, vol. 259, pp. 945–955 . https://doi.org/10.1016/j.snb.2017.12.088 |
| Informace o vydavateli: | Elsevier BV, 2018. |
| Rok vydání: | 2018 |
| Témata: | Settore CHIM/01 - CHIMICA ANALITICA, cyclic voltammogram, glucose biosensor, Cyclic Voltammograms, LC-ESI-MS/MS, SEM/EDXLC-ESI-MS/MS, Mechanistic Modeling, mechanistic modeling, Amperometric Biosensors, 01 natural sciences, 0104 chemical sciences, amperometric biosensor, Glucose Biosensors, SEM/EDX |
| Popis: | Design, optimization and integration of biosensors hold a great potential for the development of cost-effective screening and point-of-care technologies. However, significant progress in this field can still be obtained on condition that sufficiently accurate mathematical models will be developed. Herein, we present a novel approach for the improvement of mechanistic models which do not only combine the fundamental principles but readily incorporate the results of electrochemical and morphological studies. The first generation glucose biosensors were chosen as a case study for model development and to perform cyclic voltammetry (CV) measurements. As initial step in the model development we proposed the interpretation of experimental voltammograms obtained in the absence of substrate (glucose). The model equations describe dynamic diffusion and reaction of the involved species (oxygen, oxidized/reduced forms of the mediator - Prussian Blue/Prussian White). Furthermore, the developed model was applied under various operating conditions as a crucial tool for biosensor design optimization. The obtained qualitative and quantitative dependencies towards amperometric biosensors design optimization were independently supported by results of cyclic voltammetry and multi-analytical studies, such as scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX) and liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Remarkably, a linear response of the optimized biosensors tested at the applied voltage (−0.14 V) in the presence of the glucose was obtained from 10−3 to 10−5 M (relative standard deviation (RSD) |
| Druh dokumentu: | Article |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| ISSN: | 0925-4005 |
| DOI: | 10.1016/j.snb.2017.12.088 |
| Přístupová URL adresa: | https://backend.orbit.dtu.dk/ws/files/140923250/MARAC_1_s2.0_S0925400517324140_main.pdf https://www.sciencedirect.com/science/article/abs/pii/S0925400517324140 https://backend.orbit.dtu.dk/ws/files/140923250/MARAC_1_s2.0_S0925400517324140_main.pdf https://orbit.dtu.dk/en/publications/mechanistic-modeling-of-cyclic-voltammetry-a-helpful-tool-for-und https://art.torvergata.it/handle/2108/201006 https://orbit.dtu.dk/en/publications/mechanistic-modeling-of-cyclic-voltammetry-a-helpful-tool-for-understanding-biosensor-principles-and-supporting-design-optimization(1a120152-2117-4fd1-8a95-ad5e1b319d7d).html https://orbit.dtu.dk/en/publications/1a120152-2117-4fd1-8a95-ad5e1b319d7d |
| Rights: | Elsevier TDM |
| Přístupové číslo: | edsair.doi.dedup.....ff84a4d3c4dfab758c631303bcf54046 |
| Databáze: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Design, optimization and integration of biosensors hold a great potential for the development of cost-effective screening and point-of-care technologies. However, significant progress in this field can still be obtained on condition that sufficiently accurate mathematical models will be developed. Herein, we present a novel approach for the improvement of mechanistic models which do not only combine the fundamental principles but readily incorporate the results of electrochemical and morphological studies. The first generation glucose biosensors were chosen as a case study for model development and to perform cyclic voltammetry (CV) measurements. As initial step in the model development we proposed the interpretation of experimental voltammograms obtained in the absence of substrate (glucose). The model equations describe dynamic diffusion and reaction of the involved species (oxygen, oxidized/reduced forms of the mediator - Prussian Blue/Prussian White). Furthermore, the developed model was applied under various operating conditions as a crucial tool for biosensor design optimization. The obtained qualitative and quantitative dependencies towards amperometric biosensors design optimization were independently supported by results of cyclic voltammetry and multi-analytical studies, such as scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX) and liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Remarkably, a linear response of the optimized biosensors tested at the applied voltage (−0.14 V) in the presence of the glucose was obtained from 10−3 to 10−5 M (relative standard deviation (RSD) |
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| ISSN: | 09254005 |
| DOI: | 10.1016/j.snb.2017.12.088 |