Quantitative Point-of-Care Colorimetric Assay Modeling Using a Handheld Colorimeter
| Autor: | Mariam Sidawi, Elizabeth M. Salvo-Halloran, Dawn White, Carlos D. M. Filipe, Muntakim Ali, Jake Nease, Kristen Abels, Nisha Rani Agarwal, John D. Brennan, Vincent Leung, Alfredo Capretta, M. Monsur Ali |
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| Rok vydání: | 2021 |
| Předmět: |
Analyte
Chromatography Computer science General Chemical Engineering 010401 analytical chemistry Colorimeter Initial sample 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology 01 natural sciences Article 6. Clean water 0104 chemical sciences Chemistry Universal indicator Ambient lighting 0210 nano-technology QD1-999 Point of care |
| Zdroj: | ACS Omega, Vol 6, Iss 34, Pp 22439-22446 (2021) ACS Omega |
| ISSN: | 2470-1343 |
| Popis: | Colorimetric assays typically offer a rapid and convenient method to assess analytes that span healthcare monitoring to water quality testing. However, such tests can only provide qualitative results when employed in resource-limited settings or require bulky and expensive equipment such as lab spectrophotometers to allow quantitative measurements. In this paper, we report on the use of a handheld colorimeter to quantitatively determine the concentration of analytes in a manner that is independent of ambient lighting or initial sample color. The method combines the response of the sensor with first-principles modeling that better describes the nature of the assay compared to linear-in-parameters regression modeling that is typically performed in other studies. This method was successfully demonstrated using a number of colorimetric assays: (1) determination of solution pH using a universal indicator, (2) quantification of the DNase presence using a DNA-gold nanoparticle assay, and (3) quantification of the concentration of the antibiotic tetracycline using a cell-based assay. |
| Databáze: | OpenAIRE |
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