Coffee ring effect assisted improved S. aureus screening on a physically restrained gold nanoflower enriched SERS
Subhavna Juneja1, Jaydeep Bhattacharya1
1NanoBiotechnology Lab, School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India.
Colloids and Surfaces. B, Biointerfaces
|July 21, 2019
Summary
This study introduces a novel Surface-Enhanced Raman Scattering (SERS) method for rapid, sensitive pathogen detection in water. The technique uses spatial confinement and the coffee ring effect to identify even single molecules of contaminants like S. aureus.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Environmental Science
Background:
- Conventional water pathogen identification is challenging due to low concentrations and multi-step processes.
- Increasing bioterrorism threats and the need for safe water supplies necessitate advanced detection methods.
- Surface-Enhanced Raman Scattering (SERS) offers high specificity and sensitivity for molecular detection.
Purpose of the Study:
- To develop a highly sensitive and reproducible SERS-based assay for identifying low concentrations of waterborne pathogens.
- To improve SERS analysis by employing a two-level confinement strategy combined with the coffee ring effect.
- To establish a cost-effective and robust method for proactive water pathogen surveillance.
Main Methods:
- Utilized a two-level confinement technique, restricting nanostructure deposition to a small area.
- Leveraged the coffee ring effect for analyte pre-concentration on nanostructures.
- Applied SERS to detect Staphylococcus aureus (S. aureus) and R6G in spiked drinking water samples.
Main Results:
- Achieved a Limit of Detection (LOD) of 10^3 CFU/ml for S. aureus and 10^-12 M for R6G.
- Demonstrated a linear relationship between signal intensity and analyte concentration.
- Exhibited reproducible and non-degenerate signals with low Relative Standard Deviation (RSD) values (8.37% for coffee ring effect).
Conclusions:
- The developed SERS method offers a simple, low-cost, and robust approach for sensitive pathogen detection in water.
- The technique enhances SERS detection sensitivity and has potential for development into a micro total analysis system (μTAS).
- This method provides a significant advancement for proactive water quality monitoring and bioterrorism preparedness.
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