posted on 2024-02-25, 13:03authored byLing Zhang, Zhengnan Qi, Yichi Yang, Na Lu, Zisheng Tang
Bacterial infections are the second
leading cause of death around
the world, especially those caused by delayed treatment and misdiagnosis.
Therefore, rapid discrimination and effective elimination of multiple
bacteria are of great importance for improving the survival rate in
clinic. Herein, a novel colorimetric sensor array for bacterial discrimination
and elimination is constructed using programmable DNA-encoded iron
oxide nanoparticles (IONPs) as sensing elements. Utilizing differential
interactions of bacteria on DNA-encoded IONPs, 11 kinds of dental
bacteria and 6 kinds of proteins have been successfully identified
by linear discriminant analysis (LDA). Moreover, the developed sensing
system also performs well in the quantitative determination of individual
bacteria and identification of bacterial mixtures. More importantly,
the practicability of this sensing strategy is further verified by
precise differentiation of blind and artificial saliva samples. Furthermore,
the sensor array is used for efficiently killing multiple bacteria,
demonstrating great potential in clinical prophylaxis and therapy.