FRET-Based Single-Molecule Detection of Pathogens

Abstract The prevalence of foodborne diseases (FBDs) has been a big challenge in the food industry. Among several, Staphylococcus aureus is one of the most common foodborne pathogens, causing significant challenges to public health and food safety worldwide. While various detection strategies are currently availablefrom culture-based methods to modern biosensorsthese platforms still face notable drawbacks including long culture time and poor accuracy; there is a need for improved approaches that enhance detection efficiency. Here, we introduce a novel detection of S. aureus via a specific gene segment16SSAIII, a 16S ribosomal RNA domain containing a hypervariable region and species-specific sequence, making it the most suitable region for identification of pathogens. The detection is achieved via a change in the FRET (fluorescence resonance energy transfer) signal upon binding of the target to a custom-designed DNA platform containing multiple binding sites. The developed detection platform integrates three identical donor−acceptor FRET pairs to enable enhanced binding and improved sensitivity. This strategy enabled detection down to 1 pM without target amplification and labeling and 1 fM with increased incubation time and ionic strength. The FRET-based single-molecule detection of S. aureus that we reported here can be adapted for reliable and sensitive detection of a wide range of pathogens, ensuring food safety, and may find applications in clinical diagnostics, detection of viruses, environmental monitoring, and beyond.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-11-04
DOI
https://doi.org/10.1021/acs.analchem.6c03504
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FRET-Based Single-Molecule Detection of Pathogens

Mengdi Bao, Gemma Mendonsa, Soma Dhakal, Chamika Harshani Algama et al.
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
article

FRET-Based Single-Molecule Detection of Pathogens

Mengdi Bao, Gemma Mendonsa, Soma Dhakal, Chamika Harshani Algama, Kusal Sitoula
article en

Abstract

Abstract The prevalence of foodborne diseases (FBDs) has been a big challenge in the food industry. Among several, Staphylococcus aureus is one of the most common foodborne pathogens, causing significant challenges to public health and food safety worldwide. While various detection strategies are currently availablefrom culture-based methods to modern biosensorsthese platforms still face notable drawbacks including long culture time and poor accuracy; there is a need for improved approaches that enhance detection efficiency. Here, we introduce a novel detection of S. aureus via a specific gene segment16SSAIII, a 16S ribosomal RNA domain containing a hypervariable region and species-specific sequence, making it the most suitable region for identification of pathogens. The detection is achieved via a change in the FRET (fluorescence resonance energy transfer) signal upon binding of the target to a custom-designed DNA platform containing multiple binding sites. The developed detection platform integrates three identical donor−acceptor FRET pairs to enable enhanced binding and improved sensitivity. This strategy enabled detection down to 1 pM without target amplification and labeling and 1 fM with increased incubation time and ionic strength. The FRET-based single-molecule detection of S. aureus that we reported here can be adapted for reliable and sensitive detection of a wide range of pathogens, ensuring food safety, and may find applications in clinical diagnostics, detection of viruses, environmental monitoring, and beyond.

Analytical Chemistry
Seagate (United States) (US), Virginia Commonwealth University (US)
Openalex Percentile: Top 24%
Advanced biosensing and bioanalysis techniques
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.

Laika access coming soon
FRET-Based Single-Molecule Detection of Pathogens — Mengdi Bao, Gemma Mendonsa, et al. · Analytical Chemistry (2026) | TGRS Research Map | TGRS