چكيده به لاتين
With the ever-increasing growth of the population and the emergence of various diseases, continuous monitoring of human health, non-invasive medical diagnoses and health care have become the necessity of governments. Therefore, it is very important to monitor and track people's health to prevent the progression of diseases and the creation of irreparable consequences and costs. For this purpose, the development of on-site non-invasive sensors for disease monitoring is of great importance. Therefore, in this thesis, a portable microfluidic wearable sweat fluorometric solid-state sensor with an on-off-on mechanism based on polymer quantum dots (derived from dopamine, catechol and o-phenylenediamine monomers) embedded in gelatin hydrogels for the detection of L-tyrosine, L-tryptophan, creatinine and ammonia biomarkers for kidney disease monitoring and a portable wearable microfluidic fluorometric solid-state sensor with resonance energy transfer mechanism Forster (FRET) based on the integration of polymer quantum dots (derived from resorcinol, hydroquinone and o-phenylenediamine monomers) and carbon quantum dots (derived from citric acid) and the fluorescent eosin yellow dye and successful loading into polyvinyl alcohol and immobilized on cellulose filter paper has been developed to detect the acetone and ammonia biomarkers evaporated from sweat for diabetes monitoring. The physicochemical characterizations fully investigated by FTIR, EDS, TEM, DLS, HNMR, XRD, UV-Vis, CIE-1931, zeta potential and fluorescence methods were confirmed. As-proposed sensors in the linear ranges of the 5-275, 6-170, 4-220 and 5-170 uM with detection limits of 1.5, 1.6, 1.3 and 1.4 μM and RSD of 3.9%, 2.3%, 2.4% and 2.8% for L-tyrosine, L-tryptophan, creatinine and ammonia biosensors, respectively. Also, designed sensors were applied in the linear ranges of 5-335 and 4-275 with detection limits of 1.4 and 1.6 μM and RSD 2.1% and 3.1%, respectively, for acetone and ammonia biomarkers detection. The effect of operational variables such as temperature, volume and interaction time was optimized to achieve the best results. As-prepared sensors revealed a desirable selectivity in the presence of biologically similar species of cytosine, glycine, L-histamine, L-arginine, L-cysteine, L-phenylalanine and some other possible important biological species present in sweat. Colorimetric results and color difference maps were successfully investigated by a smartphone. These results revealed the potential of using microfluidic sweat sensors array as a low-cost and multi-diagnostic device for human health monitoring.
