Unraveling RNA contribution to the molecular origins of bacterial surface-enhanced Raman spectroscopy (SERS) signals-Reference-Cited by-同舟云学术

Unraveling RNA contribution to the molecular origins of bacterial surface-enhanced Raman spectroscopy (SERS) signals

Published:2024-08-22 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Chien Jun-Yi,Gu Yong-Chun,Chien Chia-Chen,Chang Chia-Ling,Cheng Ho-Wen,Chiu Shirley Wen-Yu,Nee Yeu-Jye,Tsai Hsin-Mei,Chu Fang-Yeh,Tang Hui-Fei,Wang Yuh-Lin,Lin Chi-Hung

Funder

National Science and Technology Council

Ministry of Education

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-70274-0.pdf

Reference45 articles.

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2. Premasiri, W. R. et al. Rapid urinary tract infection diagnostics by surface-enhanced Raman spectroscopy (SERS): Identification and antibiotic susceptibilities. Anal. Bioanal. Chem. 409, 3043–3054. https://doi.org/10.1007/s00216-017-0244-7 (2017).

3. Chiu, S. W. et al. Quantification of biomolecules responsible for biomarkers in the surface-enhanced Raman spectra of bacteria using liquid chromatography-mass spectrometry. Phys. Chem. Chem. Phys. 20, 8032–8041. https://doi.org/10.1039/C7CP07103E (2018).

4. Premasiri, W. R., Gebregziabher, Y. & Ziegler, L. D. On the difference between surface-enhanced Raman scattering (SERS) spectra of cell growth media and whole bacterial cells. Appl. Spectrosc. 65, 493–499. https://doi.org/10.1366/10-06173 (2011).

5. Ho, C.-S. et al. Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning. Nat. Commun. 10, 4927. https://doi.org/10.1038/s41467-019-12898-9 (2019).