2d nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification

HIGHLIGHTS

• who: Zhijun Li from the Pharmaceutical Laboratory, Åbo Akademi, Turku, Finland have published the paper: 2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification, in the Journal: (JOURNAL)
• what: As a proof of concept the authors demonstrate that a six-sensing array enables rapid and pathogenic microbial taxonomic identification including the drug-resistant microorganisms under a data size of n = 288. The authors characterize the GO and W ­ S2 using DLS and zeta potential. The authors develop a ­WS2-loaded FAM-A20 sensing element and carry out the feasibility . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.