Part II: Impedance-based DNA biosensor for detection of isolated strains of phytopathogen Ralstonia solanacearum
•A novel DNA-based impedimetric biosensor for the detection of Ralstonia solanacearum.•Enhanced sensor response with a limit of detection of 0.1 ng / μL.•Highly specific towards various locally isolated R. solanacearum targets.•Detailed complex modelling and analysis of impedance spectra. In Part I,...
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Veröffentlicht in: | Bioelectrochemistry (Amsterdam, Netherlands) Netherlands), 2023-10, Vol.153, p.108500-108500, Article 108500 |
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Sprache: | eng |
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Zusammenfassung: | •A novel DNA-based impedimetric biosensor for the detection of Ralstonia solanacearum.•Enhanced sensor response with a limit of detection of 0.1 ng / μL.•Highly specific towards various locally isolated R. solanacearum targets.•Detailed complex modelling and analysis of impedance spectra.
In Part I, we demonstrated the complete development of a label-free, ultra-low sample volume requiring DNA-based biosensor to detect Ralstonia solanacearum, an aerobic non-spore-forming, Gram-negative, plant pathogenic bacterium, using non-faradaic electrochemical impedance spectroscopy (nf-EIS). We also presented the sensor's sensitivity, specificity, and electrochemical stability. In this article, we highlight the specificity study of the developed DNA-based impedimetric biosensor to detect various strains of R. solanacearum. We have collected seven isolates of R. solanacearum isolated from locally infected host plants (eggplant, potato, tomato, chilli, and ginger) from different parts of Goa, India. The pathogenicity of these isolates was tested on the eggplant, and the pathogen was confirmed by microbiological plating and polymerase chain reaction (PCR). We further report the insight into the DNA hybridization on the surface of Interdigitated Electrodes (IDEs) and the expansion of the Randles model for more accurate analysis. The interpretation of the sensor specificity is clearly demonstrated by the capacitance change observed at the electrode–electrolyte interface. |
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ISSN: | 1567-5394 1878-562X |
DOI: | 10.1016/j.bioelechem.2023.108500 |