Rapid and highly sensitive detection of Enterovirus 71 by using nanogold-enhanced electrochemical impedance spectroscopy
| Autor: | Shing Hua Tseng, Tsai Mu Cheng, Juo Yu Shieh, Chia-Ching Chang, Fang Yu Wang, Hsing Yuan Li, Li Yun Tsai, Chien Chang Juan, Yu Ning Lu, Lung Chen Tu, Jyh Yuan Yang, Hsueh Liang Chu |
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| Rok vydání: | 2013 |
| Předmět: |
Materials science
Working electrode Metal Nanoparticles Bioengineering Nanotechnology Biosensing Techniques medicine.disease_cause Sensitivity and Specificity Virus medicine Enterovirus 71 Humans General Materials Science Sample preparation Electrical and Electronic Engineering biology Mechanical Engineering General Chemistry biology.organism_classification Virology Highly sensitive Dielectric spectroscopy Enterovirus A Human Herpes simplex virus Nanomedicine Mechanics of Materials Dielectric Spectroscopy Gold Viral load Antibodies Immobilized |
| Zdroj: | Nanotechnology. 24(28) |
| ISSN: | 1361-6528 |
| Popis: | Enterovirus 71 (EV71) infection is an emerging infectious disease causing neurological complications and/or death within two to three days after the development of fever and rash. A low viral titre in clinical specimens makes the detection of EV71 difficult. Conventional approaches for detecting EV71 are time consuming, poorly sensitive, or complicated, and cannot be used effectively for clinical diagnosis. Furthermore, EV71 and Coxsackie virus A16 (CA16) may cross react in conventional assays. Therefore, a rapid, highly sensitive, specific, and user-friendly test is needed. We developed an EV71-specific nanogold-modified working electrode for electrochemical impedance spectroscopy in the detection of EV71. Our results show that EV71 can be distinguished from CA16, Herpes simplex virus, and lysozyme, with the modified nanogold electrode being able to detect EV71 in concentrations as low as 1 copy number/50 μl reaction volume, and the duration between sample preparation and detection being 11 min. This detection platform may have the potential for use in point-of-care diagnostics. |
| Databáze: | OpenAIRE |
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