Quantification of Antibiotic Diffusion in Biofilms Using Gold Nanostar Surface‐enhanced Raman Spectroscopy

The increased resistance to antibiotics shown by bacteria in biofilms is believed to be partly the result of the limited penetration of antibiotics. However, there are no well-established techniques which allow quantitative, label-free monitoring of antibiotic transport in biofilms. Here, it is shown that surface-enhanced Raman spectroscopy (SERS) with gold nanostars (NS) can be used for the detection of levofloxacin (Levo) in Staphylococcus aureus biofilms at clinically relevant concentrations. Ex situ studies showed that although matrix interference reduced the sensitivity compared to aqueous solutions, quantitative detection remained possible. With intact biofilms, monitoring the SERS signals from layers of NS embedded at specific depths allowed the time-dependence of the penetration of Levo from the surface to the embedded layer to be measured and the diffusion coefficient of Levo to be calculated. The measured value of D = 2.79 ± 0.79 × 10<sup>-9</sup> cm<sup>2</sup> s<sup>-1</sup> is over three orders of magnitude lower than in aqueous solutions. This work is the first demonstration that SERS can be a powerful method for investigating antibiotic transport in biofilms, offering new insights into resistance mechanisms and supporting the development of more effective antimicrobial strategies.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-10-21
DOI
https://doi.org/10.1002/advs.202510346
Citations
1
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantification of Antibiotic Diffusion in Biofilms Using Gold Nanostar Surface‐enhanced Raman Spectroscopy

Matthew P. Wylie, Colin P. McCoy, Yingrui Zhang, Wafaa Aljuhani et al.
1 citations
Advanced Science
Gold and Silver Nanoparticles Synthesis and Applications
0.43
article

Quantification of Antibiotic Diffusion in Biofilms Using Gold Nanostar Surface‐enhanced Raman Spectroscopy

Matthew P. Wylie, Colin P. McCoy, Yingrui Zhang, Wafaa Aljuhani, Steven E. J. Bell
article en
1 citations

Abstract

The increased resistance to antibiotics shown by bacteria in biofilms is believed to be partly the result of the limited penetration of antibiotics. However, there are no well-established techniques which allow quantitative, label-free monitoring of antibiotic transport in biofilms. Here, it is shown that surface-enhanced Raman spectroscopy (SERS) with gold nanostars (NS) can be used for the detection of levofloxacin (Levo) in Staphylococcus aureus biofilms at clinically relevant concentrations. Ex situ studies showed that although matrix interference reduced the sensitivity compared to aqueous solutions, quantitative detection remained possible. With intact biofilms, monitoring the SERS signals from layers of NS embedded at specific depths allowed the time-dependence of the penetration of Levo from the surface to the embedded layer to be measured and the diffusion coefficient of Levo to be calculated. The measured value of D = 2.79 ± 0.79 × 10<sup>-9</sup> cm<sup>2</sup> s<sup>-1</sup> is over three orders of magnitude lower than in aqueous solutions. This work is the first demonstration that SERS can be a powerful method for investigating antibiotic transport in biofilms, offering new insights into resistance mechanisms and supporting the development of more effective antimicrobial strategies.

Advanced ScienceVol. 13(2)
Queen's University Belfast (GB)
Openalex Percentile: Top 35%
Gold and Silver Nanoparticles Synthesis and Applications
0.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.