Dengue diagnosis on laser printed microzones using smartphone-based detection and multivariate image analysis
| Autor: | Lucimeire Antonelli da Silveira, Karoliny Almeida Oliveira, Wendell K. T. Coltro, Deangelis Damasceno, Cristina Rodrigues de Oliveira, Anselmo E. de Oliveira |
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| Rok vydání: | 2016 |
| Předmět: |
Multivariate statistics
business.industry General Chemical Engineering 010401 analytical chemistry General Engineering Analytical chemistry 02 engineering and technology Dengue virus 021001 nanoscience & nanotechnology medicine.disease_cause Serum samples Laser medicine.disease 01 natural sciences Digital image data 0104 chemical sciences Analytical Chemistry law.invention Dengue fever law medicine 0210 nano-technology business Biomedical engineering |
| Zdroj: | Analytical Methods. 8:6506-6511 |
| ISSN: | 1759-9679 1759-9660 |
| DOI: | 10.1039/c6ay01262k |
| Popis: | This study describes the use of smartphone-based detection and multivariate image analysis (MIA) to perform dengue diagnosis on laser printed microzones. Toner-based microplates containing 96 microzones were fabricated on a transparency film surface through a single laser printing step. Enzyme-linked-immunosorbent assay (ELISA) experiments were then carried out to detect both immunoglobulin M (IgM) and G (IgG) antibodies in serum samples collected from patients infected and not infected with dengue virus. Principal component analysis (PCA) of ELISA digital image data acquired with a smartphone revealed good discrimination between samples from infected and non-infected patients. |
| Databáze: | OpenAIRE |
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