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Properties of SWCNT-based sensors such as brightness and detection capabilities strongly depend on the characteristics of the wrapping used to suspend the nanotubes. In this study, we explore ways to modify the properties of DNA-SWCNT sensors by us- ing chemically modified DNA sequences, with the aim of creating sensors more suitable for use in in vivo and in vitro applications. We show that both the fluorescence intensity and sensor reactivity are strongly impacted not only by the chemical modification of the DNA but also by the method of preparation. In the absence of modifications, the sensors prepared using MeOH-assisted surfactant exchange exhibited higher overall fluorescence compared to those prepared by direct sonication. However, we demonstrate that the incorporation of chemical modifications in the DNA sequence could be used to enhance the fluorescence intensity of sonicated samples. We attribute these im- provements to both a change in dispersion efficiency as well as to a change in SWCNT chirality distribution. Furthermore, despite their higher intensities, the response capabilities of sensors prepared by MeOH-assisted surfactant exchange were shown to be significantly reduced compared to their sonicated counterparts. Sonicated sensors exhibited a globally higher turn-on response towards dopamine compared to the exchanged samples, with modified samples retaining their relative intensity enhancement. As the increases in fluorescence intensity were achieved without needing to alter the base sequence of the DNA wrap- ping or to add any exogenous compounds, these modifications can - in theory - be applied to nearly any DNA sequence to increase the brightness and penetration depths of a variety of DNA-SWCNT sensors without affecting biocompatibility or reducing the near-limitless sequence space available. This makes these sensors an attractive alternative for dopamine sensing in vitro and in vivo by enabling significantly higher penetration depths and shorter laser exposure times.
Ardemis Anoush Boghossian, Melania Reggente, Niloufar Sharif, Sayyed Hashem Sajjadi, Shang-Jung Wu
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