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Ultrasensitive and Label-Free Detection of the Measles Virus Using an N-Heterocyclic Carbene-Based Electrochemical Biosensor.
- Source :
-
ACS sensors [ACS Sens] 2020 Sep 25; Vol. 5 (9), pp. 2747-2752. Date of Electronic Publication: 2020 Aug 31. - Publication Year :
- 2020
-
Abstract
- With the current intense need for rapid and accurate detection of viruses due to COVID-19, we report on a platform technology that is well suited for this purpose, using intact measles virus for a demonstration. Cases of infection due to the measles virus are rapidly increasing, yet current diagnostic tools used to monitor for the virus rely on slow (>1 h) technologies. Here, we demonstrate the first biosensor capable of detecting the measles virus in minutes with no preprocessing steps. The key sensing element is an electrode coated with a self-assembled monolayer containing the measles antibody, immobilized through an N-heterocyclic carbene (NHC). The intact virus is detected by changes in resistance, giving a linear response to 10-100 μg/mL of the intact measles virus without the need to label or process the sample. The limit of detection is 6 μg/mL, which is at the lower limit of concentrations that can cause infections in primates. The NHC-based biosensors are shown to be superior to thiol-based systems, producing an approximately 10× larger response and significantly greater stability toward repeated measurements and long-term storage. This NHC-based biosensor thus represents an important development for both the rapid detection of the measles virus and as a platform technology for the detection of other biological targets of interest.
- Subjects :
- Antibodies, Immobilized chemistry
Electrochemical Techniques instrumentation
Electrodes
Gold chemistry
Limit of Detection
Measles virus immunology
Antibodies, Immobilized immunology
Benzimidazoles chemistry
Biosensing Techniques methods
Electrochemical Techniques methods
Measles virus isolation & purification
Subjects
Details
- Language :
- English
- ISSN :
- 2379-3694
- Volume :
- 5
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- ACS sensors
- Publication Type :
- Academic Journal
- Accession number :
- 32820626
- Full Text :
- https://doi.org/10.1021/acssensors.0c01250