Dopamin tayini için moleküler baskılanmış nanosensör hazırlanması
2022
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Advisor: Prof. Dr. Münire Nalan Demir
Abstract (EN)
Dopamine is a catecholamine class neurotransmitter found in the mammalian central nervous system and has a very important role in metabolic functions, cardiovascular, renal and hormonal systems. Rapid, easy, selective and low-cost analysis of dopamine can be achieved by the use of molecularly imprinted polymers, which are only dopamine-specific artificial receptors, in the preparation of nanobiosensors for dopamine determination for the early diagnosis of such diseases. Within the scope of this thesis, two separate sensitive, selective, inexpensive and miniaturizable sensor systems have been developed for dopamine determination by combining the advantages of nanotechnology with the selectivity of molecular imprinting technology and the sensitivity of biosensor systems. In the first system, an electrochemical impedance-based (EIS) sensor was designed by using molecularly imprinted fullerene modified pyrrole-pyrrole-3-carboxylic acid copolymers on a screen-printed carbon electrode. The performance parameters of the sensor system were determined by the calibration curve between 25- 250 ng/mL (R2= 0.9939) and the LOD and LOQ were found to be 8.77 ng/mL and 26.6 ng/mL, respectively. The results obtained with the developed sensor were compared with the ELISA method and good correlation with R2= 0.979 was observed between ELISA and developed sensor. In the second system, an EIS based sensor was prepared by using molecularly imprinted Cys-APBA-APBA modified Pyrrole-3-carboxylic acid copolymers on a screen-printed gold electrode. The performance parameters of the sensor system were determined by the calibration curve between 100- 600 pM (R2= 0.9517) and the LOD and LOQ were found to be 30.34 pM and 95.82 pM, respectively. In the third system, an EIS based sensor was prepared by using molecularly imprinted Cys-PAMAM modified Pyrrole-3-carboxylic acid polymer on a screen-printed gold electrode for A-42. The performance parameters of the sensor system were determined by the calibration curve between 0.5- 200 ng/ml (R2= 0.9837) and the LOD and LOQ were found to be 0.14 ng/ml and 0.42 ng/ml, respectively.
Author
Hilmiye Deniz Ertuğrul Uygun
Institution
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Hilmiye Deniz Ertuğrul Uygun (Doctorate thesis). Dopamin tayini için moleküler baskılanmış nanosensör hazırlanması, 2022, Dokuz Eylül University.
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