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Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor

This work presents a rapid, selective and sensitive automated sequential injection flow system with a capacitive biosensor for detection of the mecA gene (the model chosen for this study), which emerges from methicillin-resistant Staphylococcus aureus. A DNA-based 25-mer capture probe was immobilize...

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Autores principales: Mahadhy, Ally, Ståhl-Wernersson, Eva, Mattiasson, Bo, Hedström, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724158/
https://www.ncbi.nlm.nih.gov/pubmed/33318966
http://dx.doi.org/10.1016/j.btre.2020.e00568
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author Mahadhy, Ally
Ståhl-Wernersson, Eva
Mattiasson, Bo
Hedström, Martin
author_facet Mahadhy, Ally
Ståhl-Wernersson, Eva
Mattiasson, Bo
Hedström, Martin
author_sort Mahadhy, Ally
collection PubMed
description This work presents a rapid, selective and sensitive automated sequential injection flow system with a capacitive biosensor for detection of the mecA gene (the model chosen for this study), which emerges from methicillin-resistant Staphylococcus aureus. A DNA-based 25-mer capture probe was immobilized on the surface of a gold electrode which was integrated in the capacitive sensor system. A constant current pulse was applied and the resulting capacitance was measured. Injection of the target DNA sample to the sensor surface induced hybridization to occur between the target and the complementary sequence, which resulted in a shift in the measured capacitance (ΔC). The ΔC was directly proportional to the concentrations of the applied target probe with linearity ranging from 10(−12) to 10(−7) M. The biosensor had a detection limit of 6.0 × 10(−13) M and a recovery of 95 % of the mecA gene when spiked in human saliva. The biosensor showed a promising selectivity. It could clearly discriminate single-base, two-base and twelve-base mismatch probes with a decrease in the signal strength by 13 %, 26 %, and 89 %, respectively relative to the signal strength of the complementary target probe. There was no significant signal observed for the non-complementary probe. The biosensor-chip could be re-used for more than 12 cycles with residual capacity of 94.5 ± 4.3 % and a RSD of 4.6 % by regenerating the biosensor-chip with a solution of 50 mM NaOH.
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spelling pubmed-77241582020-12-13 Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor Mahadhy, Ally Ståhl-Wernersson, Eva Mattiasson, Bo Hedström, Martin Biotechnol Rep (Amst) Research Article This work presents a rapid, selective and sensitive automated sequential injection flow system with a capacitive biosensor for detection of the mecA gene (the model chosen for this study), which emerges from methicillin-resistant Staphylococcus aureus. A DNA-based 25-mer capture probe was immobilized on the surface of a gold electrode which was integrated in the capacitive sensor system. A constant current pulse was applied and the resulting capacitance was measured. Injection of the target DNA sample to the sensor surface induced hybridization to occur between the target and the complementary sequence, which resulted in a shift in the measured capacitance (ΔC). The ΔC was directly proportional to the concentrations of the applied target probe with linearity ranging from 10(−12) to 10(−7) M. The biosensor had a detection limit of 6.0 × 10(−13) M and a recovery of 95 % of the mecA gene when spiked in human saliva. The biosensor showed a promising selectivity. It could clearly discriminate single-base, two-base and twelve-base mismatch probes with a decrease in the signal strength by 13 %, 26 %, and 89 %, respectively relative to the signal strength of the complementary target probe. There was no significant signal observed for the non-complementary probe. The biosensor-chip could be re-used for more than 12 cycles with residual capacity of 94.5 ± 4.3 % and a RSD of 4.6 % by regenerating the biosensor-chip with a solution of 50 mM NaOH. Elsevier 2020-11-30 /pmc/articles/PMC7724158/ /pubmed/33318966 http://dx.doi.org/10.1016/j.btre.2020.e00568 Text en © 2020 Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Mahadhy, Ally
Ståhl-Wernersson, Eva
Mattiasson, Bo
Hedström, Martin
Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor
title Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor
title_full Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor
title_fullStr Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor
title_full_unstemmed Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor
title_short Rapid detection of mecA gene of methicillin-resistant Staphylococcus aureus by a novel, label-free real-time capacitive biosensor
title_sort rapid detection of meca gene of methicillin-resistant staphylococcus aureus by a novel, label-free real-time capacitive biosensor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724158/
https://www.ncbi.nlm.nih.gov/pubmed/33318966
http://dx.doi.org/10.1016/j.btre.2020.e00568
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