Microfluidic paper-based analytical device (μPAD) for rapid detection of cadmium in river water
Year: 2020
Type: dissertation
Abstract: In recent years, the issue of contamination of water with heavy metal ion is \nnever-ending, thus seeking extensive attention from all over the world. Heavy metal \nabove a threshold limit is toxic to humans as well as the environment. Therefore, a \nvery promising method using μPAD is presented for the rapid determination of Cd at \nan ultra-trace level using 1,5-diphenylthiocarbazone (dithizone) as colorimetric \nreagent (λ=500 nm) in aqueous solution. The mixture turns from brownish-red to \norange colour in the presence of Cd. The use of paraffin wax with the handheld rubber \nstamp was demonstrated for the detection of Cd using colorimetric detection. The \nparaffin wax was used onto the filter paper to create a hydrophobic barrier for fluidic \nchannels. The μPAD was fabricated within 10 min and provided high reproducibility \nand stability. The rubber stamping method provides a simple, rapid and cost-effective \nin fabrication of uPAD. The calibration curves were constructed for developed method \nof μPAD. The linear coefficient (R2) was 0.9538 and the detection limits of Cd ion \nusing μPAD was 3.87 ppm. The results demonstrate that the detection limits obtained \nfor both methods were higher than the permissible limit of Cd which is 0.005 ppm. \nThese methods were reported to be less sensitive for ultra-trace metal such as Cd. \nHowever, for real sample analysis, the recovery of Cd in the water samples was \nmeasured as 82.5% using μPAD. It has good recovery value. To conclude, the \nfabricated μPAD can be used as screening test which one of the most vital steps in \npaper-based assays to identify the presence of analyte but confirmation step is required \nfor further analysis using the sophisticated instruments.
Author: Nor Izati Che Ab Aziz
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3181758967
