Chemistry-Informed Machine Learning Enables Discovery of DNA-Stabilized Silver Nanoclusters with Near-Infrared Fluorescence.

ABSTRACT: DNA can stabilize silver nanoclusters (Ag_N-DNAs) whose atomic sizes and diverse fluorescence colors are selected by nucleobase sequence. These programmable nanoclusters hold promise for sensing, bioimaging, and nanophononics. However, DNA's vast sequence space challenges the design and discovery of Ag_N-DNAs with tailored properties. In particular, Ag_N-DNAs with bright near-infrared luminescence above 800 nm remain rare, placing limits on their applications for bioimaging in the tissue transparency windows. Here, we present a design method for near-infrared emissive Ag_N-DNAs. By combining high-throughput experimentation and machine learning with fundamental information from Ag_N-DNA crystal structures,

SUBMITTER: Mastracco P 

PROVIDER: S-EPMC9620400 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature