Machine-Learning Single-Stranded DNA Nanoparticles for Bacterial Analysis

Autor: Yu-Sheng Chen, Taha Bilal Uyar, Mehmet V. Yigit, Mahera J Kachwala, Nidhi Nandu, Christopher W. Smith, Muhan He
Rok vydání: 2020
Předmět:
Zdroj: ACS Appl Nano Mater
ISSN: 2574-0970
DOI: 10.1021/acsanm.0c03001
Popis: A two-dimensional nanoparticle–single-stranded DNA (ssDNA) array has been assembled for the detection of bacterial species using machine-learning (ML) algorithms. Out of 60 unknowns prepared from bacterial lysates, 54 unknowns were predicted correctly. Furthermore, the nanosensor array, supported by ML algorithms, was able to distinguish wild-type Escherichia coli from its mutant by a single gene difference. In addition, the nanosensor array was able to distinguish untreated wild-type E. coli from those treated with antimicrobial drugs. This work demonstrates the potential of nanoparticle–ssDNA arrays and ML algorithms for the discrimination and identification of complex biological matrixes.
Databáze: OpenAIRE