Precision classification and quantitative analysis of bacteria biomarkers via surface-enhanced Raman spectroscopy and machine learning-Reference-Cited by-同舟云学术

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Precision classification and quantitative analysis of bacteria biomarkers via surface-enhanced Raman spectroscopy and machine learning

Published:2024-11 Issue: Volume:320 Page:124627
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Kumar Amit^ORCID,Islam Md Redwan,Zughaier Susu M.^ORCID,Chen Xianyan,Zhao Yiping

Funder

Qatar National Research Fund

USDA NIFA

Publisher

Elsevier BV

Reference75 articles.

1. AIEgen-Based fluorescent nanomaterials for bacterial detection and its inhibition;Roy;ChemistrySelect,2020

2. Application of aptamer-based biosensor for rapid detection of pathogenic Escherichia coli;Zhao;Sensors,2018

3. How to manage Pseudomonas aeruginosa infections;Bassetti;Drugs Context,2018

4. The role of Pseudomonas aeruginosa in infections;Neu;J. Antimicrob. Chemother.,1983

5. Infections caused by Pseudomonas aeruginosa;Bodey;Rev. Infect. Dis.,1983

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing SERS as a quantitative technique: challenges, considerations, and correlative approaches to aid validation;Nano Convergence;2024-08-17

2. Recent Advances in Bacterial Detection Using Surface-Enhanced Raman Scattering;Biosensors;2024-08-01

3. Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications;Chemosensors;2024-07-15

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