In this research, we developed a low-cost fingerprint nanoprobe, based on surface-enhanced Raman scattering, with favorable biocompatibility. Our probe enables label-free live cell bio-imaging and can detect two bacterial strains by providing molecular fingerprint information. We also conducted a principal component analysis of single living cells.
Researchers have recently focused on improving sensitivity, reproducibility, and developing new substrates and technique to provide reliable molecular information. This enables the simultaneous detection of multiple analyses, and it can be combined with machine learning data analyses for improved performance. Obtaining specific rhythmic signals from cells can be challenging, due to the presence of many other chemicals in the sample;which can interfere with the background signal.
Compared with the fluorescence detection, the level fluorescence had actual high surface sensitivity. And could realize the directional detection of spacing errors raising cells. More importantly, you can provide the intrinsic chemistry of the at a single cell level in or on the strategy manner under natural conditions.
In the future, our work will focus on the complete architecture of carbon-dot based system, including the structure verification and the source We also focus on the biomedical application of this search system such as cell research and the applications.
