Monitoring the Bacterial Response to Antibiotic and Time Growth Using Near-infrared Spectroscopy Combined with Machine Learning

  25 February 2021

In this study, Escherichia coli was chosen as the model microorganism to evaluate its response (e.g., growth) to a commercial antibiotic—tetracycline. Thus, the objective of this work was to explore the ability of NIR data combined with machine learning tools (e.g., partial least squares discriminant analysis) to monitor the response and growth of Escherichia coli cultured with different concentrations of tetracycline (ranging from 0 to 50 μg/mL). This study demonstrated a novel method capable of analyzing samples of a complex matrix, while still contained in a 96-well plate.

Further reading: Food Analytical Methods
Author(s): Vi Khanh Truong, James Chapman & Daniel Cozzolino
Smart Innovations  
Back

OUR UNDERWRITERS

Unrestricted financial support kindly provided by

Antimicrobial Resistance Fighter Coalition

CDD VAULT Complexity Simplified





Technology Database

Display your AMR Technology, Product and Service

 

Suppliers and Users of Technologies, Products and Services benefit from CAPI.
CAPI (Continuous AMR Partnering Initiative) unites Suppliers and Users worldwide with the aim to add to the curbing of AMR.

 

Read more and make your own Technology Page >>
What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!