GCRIS

Sensitive and selective detection of biomolecules and cells is essential for early diagnosis of diseases, prognosis monitoring, and effective therapy. This thesis aimed to develop a novel fluorescence ‘‘turn-on/off’’ biosensor for biomolecules and cells detection. In this study, cationic polythiophene derivative poly(1,4-dimethyl-1-(3-((4- methylthiophen-3-yl)oxy)propyl)piperazin-1-ium bromide) (PT–Pip) was used as an efficient fluorescence transduction element to discriminate proteins, mammalian cells, and amino acids for the first time. Initially, pH–dependent spectroscopic characterization of the PT–Pip was performed to monitor the conformational and optical changes. The pH sensitivity of the PT–Pip was demonstrated for the first time. Afterwards, the fluorescence ‘‘turn–off’’ phenomena were investigated in detail using citrate–capped gold nanoparticles as an efficient fluorescence quencher. Further, the interaction of target analytes such as proteins, mammalian cells, and amino acids with pre–quenched non–covalent PT–Pip–AuNP complexes was examined. Disruption of the binding equilibrium between PT–Pip and AuNP by analytes resulted in the selective displacement of PT–Pip, which generated signal output as a fluorescence ‘‘turn–on’’ mode. Consequently, for the sensitive detection of biomolecules and cells, chemical tongue sensor arrays were developed utilizing differential sensing approaches. PCA was used for the statistical evaluation of the multi–dimentional fluorescence response patterns. As a result, unique fingerprints were rapidly obtained by the direct sensing of proteins, ratiometric sensing of mammalian cells, and indirect sensing of amino acids. The combination of a differential sensing strategy with an appropriate multivariate statistical technique enabled the selective and sensitive detection and identification of proteins, mammalian cells, and amino acids.

Phd Degree / Doktora

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