Label-free sensing technology of two Staphylococcus species based on a terahertz metasurface

Staphylococcus epidermidis (SE) and Staphylococcus aureus (SAU), comprising 50% of pathogenic bacteria in clinical blood isolates, demand precise detection for infection control. We present a label-free terahertz (THz) metasurface biosensor enabling simultaneous quantification and speciation of these Gram-positive pathogens. A tailored metasurface enhances THz wave-bacteria interaction through sharp resonance, creating quantitative correlations between resonance shifts and bacterial fluid dosage. Distinct linear regression slopes (SAU: 105.90 GHz/μL, SE: 45.14 GHz/μL) permit species differentiation, achieving specificity without biochemical labeling. This platform eliminates complex surface functionalization, reducing preparation time compared to ELISA-based methods while maintaining high sensitivity (theoretically 135.1 GHz/RIU, at a thickness of 3 μm, and experimentally 556 GHz/cell μm<sup>-2</sup> (SAU) and 237 GHz/cell μm<sup>-2</sup> (SE)). The technology's dual detection-differentiation capability, combined with its operational simplicity and cost-effectiveness, demonstrates transformative potential for clinical diagnostics and food safety monitoring, particularly in resource-limited settings requiring rapid pathogen screening.

Authors

Institutions

Publication Details

Journal
Biomedical Optics Express
Published
2025-04-28
DOI
https://doi.org/10.1364/boe.560412
Citations
7
Primary Topic
Terahertz technology and applications
Type
article
Field-Weighted Citation Impact
5.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Label-free sensing technology of two Staphylococcus species based on a terahertz metasurface

hui zhong, Ye Tian, Liwei Song, Jingle Li et al.
7 citations
Biomedical Optics Express
Terahertz technology and applications
5.11
article

Label-free sensing technology of two Staphylococcus species based on a terahertz metasurface

hui zhong, Ye Tian, Liwei Song, Jingle Li, Rui Gao, Dongdong Zhang, Jiabin Jiang, Xunpei Xu
article en
7 citations

Abstract

Staphylococcus epidermidis (SE) and Staphylococcus aureus (SAU), comprising 50% of pathogenic bacteria in clinical blood isolates, demand precise detection for infection control. We present a label-free terahertz (THz) metasurface biosensor enabling simultaneous quantification and speciation of these Gram-positive pathogens. A tailored metasurface enhances THz wave-bacteria interaction through sharp resonance, creating quantitative correlations between resonance shifts and bacterial fluid dosage. Distinct linear regression slopes (SAU: 105.90 GHz/μL, SE: 45.14 GHz/μL) permit species differentiation, achieving specificity without biochemical labeling. This platform eliminates complex surface functionalization, reducing preparation time compared to ELISA-based methods while maintaining high sensitivity (theoretically 135.1 GHz/RIU, at a thickness of 3 μm, and experimentally 556 GHz/cell μm<sup>-2</sup> (SAU) and 237 GHz/cell μm<sup>-2</sup> (SE)). The technology's dual detection-differentiation capability, combined with its operational simplicity and cost-effectiveness, demonstrates transformative potential for clinical diagnostics and food safety monitoring, particularly in resource-limited settings requiring rapid pathogen screening.

Biomedical Optics ExpressVol. 16(6)
Acxiom (United States) (US), University of Shanghai for Science and Technology (CN), Shanghai Changzheng Hospital (CN), Shanghai Institute of Optics and Fine Mechanics (CN), Gansu Great Wall Electrical and Electronics Engineering Research Institute (CN), University of Chinese Academy of Sciences (CN), Université de Lorraine (FR)
Openalex Percentile: Top 5%
Terahertz technology and applications
5.11
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.