Rapid screening of bacteriostatic and bactericidal antimicrobial agents against <i>Escherichia coli</i> by combining machine learning (artificial intelligence) and UV-VIS spectroscopy-Reference-Cited by-同舟云学术

Rapid screening of bacteriostatic and bactericidal antimicrobial agents against Escherichia coli by combining machine learning (artificial intelligence) and UV-VIS spectroscopy

Published:2024 Issue:5 Volume:149 Page:1597-1608
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Orrell-Trigg R.¹^ORCID,Awad M.²^ORCID,Gangadoo S.¹,Cheeseman S.³,Shaw Z. L.⁴,Truong V. K.⁵^ORCID,Cozzolino D.⁶,Chapman J.⁷^ORCID

Affiliation:

1. School of Science, RMIT University, Melbourne, Australia

2. Peter MacCallum Cancer Centre, Melbourne, Australia

3. The Graeme Clark Institute, Faculty of Engineering and Information Technology and Faculty of Medicine, Dentistry and Health Services, The University of Melbourne, Melbourne 3010, Australia

4. School of Engineering, RMIT University, Melbourne, Australia

5. College of Medicine and Public Health, Flinders University, Adelaide, Australia

6. QAAFI, University of Queensland, Brisbane, Australia

7. The University of Queensland, Brisbane, Australia

Abstract

A standard UV-Vis spectrophotometer, chemometrics, and machine learning algorithms enables faster identification of bacteriostatic and bactericidal mechanisms. Compared to traditional methods, this approach accelerates the evaluation of tetracycline and amoxicillin on E. coli.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AN/D3AN01608K

Reference44 articles.

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