Differentiation of closely-related species within Acinetobacter baumannii-calcoaceticus complex via Raman spectroscopy: a comparative machine learning analysis-Reference-Cited by-同舟云学术

Differentiation of closely-related species within Acinetobacter baumannii-calcoaceticus complex via Raman spectroscopy: a comparative machine learning analysis

Published:2024-03-28 Issue:5 Volume:40 Page:
ISSN:0959-3993
Container-title:World Journal of Microbiology and Biotechnology
language:en
Short-container-title:World J Microbiol Biotechnol

Author:

Xiong Xue-Song,Yao Lin-Fei,Luo Yan-Fei,Yuan Quan,Si Yu-Ting,Chen Jie,Wen Xin-Ru,Tang Jia-Wei,Liu Su-Ling,Wang Liang

Funder

Research Funding for Guangdong Provincial Medical Technology

Basic and Applied Basic Research Foundation of Guangdong Province

Talent Start-Up Funding of Guangdong Provincial People’s Hospital

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11274-024-03948-6.pdf

Reference36 articles.

1. Ahuja T, Ghosh A, Mondal S, Basuri P, Jenifer SK, Srikrishnarka P et al (2019) Ambient electrospray deposition Raman spectroscopy (AESD RS) using soft landed preformed silver nanoparticles for rapid and sensitive analysis. Analyst 144(24):7412–7420

2. Bagudo AI, Obande GA, Harun A, Singh KKB (2020) Advances in automated techniques to identify Acinetobacter calcoaceticus–Acinetobacter baumannii complex. Asian Biomed 14(5):177–186

3. Bernards AT, Toorn J, Boven CPA, Dijkshoorn L (1996) Evaluation of the ability of a commercial system to identify Acinetobacter genomic species. Eur J Clin Microbiol Infect Dis 15(4):303–308

4. Britton K, Dalterio R, Nelson W, Britt D, Sperry JF (1988) Ultraviolet resonance Raman spectra of Escherichia coli with 222.5–251.0 nm pulsed laser excitation. Appl Spectrosc 42(5):782–788

5. Ho C-S, Jean N, Hogan CA, Blackmon L, Jeffrey SS, Holodniy M et al (2019) Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning. Nat Commun 10(1):4927