부산대학교 도서관

Bioelectronic devices, which integrate electronic techniques with biological researches, have been widespread applied in developing bio-inspired materials and bio-inspired architectures. A key aspect in bioelectronics is the interface between biological materials and micro- and nano-electronics. In this dissertation, ssDNA was conjugated with metalloprotein azurin for a hetero bio-assay on Au to implement memory functions based on the generation of two redox signals. A two-bit biomemory device was obtained, demonstrating enhanced computational ability and sensitivity. G-rich sequences were further directly used to develop a DNA-based biomemory device by complexing with ferric-containing hemin. A novel biochip was designed to contain two electrochemical systems, termed ‘controller’ and ‘operator’. The potential signal in controller was transduced by the G-quadruplex/hemin into current signal in operator. In this method, the memory functions, namely ‘write’, ‘erase’ and ’read’, were implemented with an electrical control, manifesting high stability, durability and reliability. The pH-sensitive G-rich DNA was further conjugated with organic capped quantum dots to revolute our bioelectronic studies. Two logic units of G-rich DNA/QDs/organic materials (G/Q/O) were used to modulate signals upon pH inputs and facilitate an analog-type logic gate. Finally, given to the hybridization between mismatched DNA bases with heavy metals, a multiple-bit system was proposed as a bio-logic device with high coding ability. Metal ions of Pb2+ and Hg2+ have different electrochemical properties. The levels of the signals were in coincidence with the number of cations which were captured by a single DNA sequence, manifesting a 16-bit bio-logic system. These researches simply employing complex comprised of ssDNA based hybrid materials, provided a feasible way to develop diverse biocomputing devices. These devices based on the generated electrochemical signals from the metallic centers in the hybrid complexes, were considered as a promising way to develop devices having higher computational ability.