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Abstract

infection is a major global health concern, and its increasing antibiotic resistance poses significant challenges to eradication therapy. Traditional methods for detecting resistance are time-consuming and labour-intensive.

The limitations of traditional methods highlight a critical need for a rapid, accurate and comprehensive approach to detect resistance that can inform personalized treatment strategies and improve eradication outcomes.

This study aimed to explore the potential of Raman spectroscopy as a rapid and accurate method for detecting resistance to clarithromycin and levofloxacin.

We employed Raman spectroscopy to analyse the metabolic fingerprints of strains treated with different concentrations of antibiotics. Principal component analysis and deuterium oxide labelling techniques were used to differentiate between resistant and susceptible strains.

Our results demonstrated that Raman spectroscopy can accurately predict antibiotic resistance within 4–6 h, significantly reducing detection time compared with traditional methods.

This study provides a promising approach for rapid and accurate detection of antibiotic resistance, enabling personalized treatment strategies and improving eradication outcomes.

Funding
This study was supported by the:
  • the Shenzhen Key Medical Discipline (Award No. SZXK054)
    • Principal Award Recipient: DanXiong
  • the Science and Technology Planning Project of Shenzhen Municipality, China (Award JCYJ20230807142806014)
    • Principal Award Recipient: DanXiong
  • the Science and Technology Planning Project of Shenzhen Municipality, China (Award JCYJ20240813114808012)
    • Principal Award Recipient: DanXiong
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
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2025-12-05
2026-01-16

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