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Abstract
An M13 bacteriophage-based Förster resonance energy transfer (FRET) system is developed to estimate intermolecular distance at the nanoscale using a complex of CdSSe/ZnS nanocrystal quantum dots, genetically engineered M13 bacteriophages labeled with fluorescein isothiocyanate and trinitrotoluene (TNT) as an inhibitor. In the absence of trinitrotoluene, it is observed that a significant spectral shift from blue to green occur, which represents efficient energy transfer through dipole-dipole coupling between donor and acceptor, or FRET-on mode. On the other hand, in the presence of trinitrotoluene, the energy transfer is suppressed, since the donor-to-acceptor intermolecular distance is detuned by the specific capturing of TNT by the M13 bacteriophage, denoted as FRET-off mode. These noble features are confirmed by changes in the fluorescence intensity and the fluorescence decay curve. TNT addition to our system results in reducing the total energy transfer efficiency considerably from 16.1% to 7.6% compared to that in the non-TNT condition, while the exciton decay rate is significantly enhanced. In particular, we confirm that the energy transfer efficiency satisfies the original intermolecular distance dependence of FRET. The relative donor-to-acceptor distance is changed from 70.03 Å to 80.61 Å by inclusion of TNT.
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1 Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Republic of Korea (GRID:grid.61221.36) (ISNI:0000 0001 1033 9831)
2 Pusan National University, Department of Cogno-Mechatronics Engineering, Busan, Republic of Korea (GRID:grid.262229.f) (ISNI:0000 0001 0719 8572)
3 Pusan National University, Department of Nano Fusion Technology, Busan, Republic of Korea (GRID:grid.262229.f) (ISNI:0000 0001 0719 8572)
4 Pusan National University, Department of Nano Fusion Technology, Busan, Republic of Korea (GRID:grid.262229.f) (ISNI:0000 0001 0719 8572); Pusan National University, Department of Nanoenergy Engineering, Busan, Republic of Korea (GRID:grid.262229.f) (ISNI:0000 0001 0719 8572)




