| Autor: |
Enock Bonyi, Edward Constance, Zeenat Kukoyi, Sanjeeda Jafar, Kadir Aslan |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Nano Biomedicine and Engineering, Vol 11, Iss 2, Pp 111-123 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2150-5578 |
| DOI: |
10.5101/nbe.v11i2.p111-123 |
| Popis: |
We report a method for rapid detection and analysis of biological and environmental analytes by microwave-accelerated bioassays (MABs) and a novel MATLAB-based image processing of colorimetric signals. In this regard, colorimetric bioassays for histidine-rich protein 2 (HRP-2) and microcystin-leucine arginine (MC-LR) toxin were carried out using MABs and without microwave heating (i.e, gold standard bioassays). Our MATLAB-based detection method is based on the direct correlation of color intensity of a solution calculated from images captured with a smartphone with the concentration of the biomolecule of interest using a MATLAB code developed in-house. We demonstrated that our MATLAB-based detection method can yield bioassay sensitivity comparable to the colorimetric gold standard tool, i.e., UV-Visible spectroscopy. In addition, colorimetric bioassay time for the HRP-2 assay (used in malaria diagnosis) and colorimetric MC-LR bioassay (used in MC-LR toxin diagnosis) was reduced from up to 2 hours at room temperature without microwave heating to 15 minutes using the MABs technique. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
