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Digital plasmonic nanobubble detection for rapid and ultrasensitive virus diagnostics
Yaning Liu1, Haihang Ye2, HoangDinh Huynh3
1Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, 75080, USA.
Nature Communications
|March 31, 2022
Summary
A new diagnostic method, Digital Plasmonic Nanobubble Detection (DIAMOND), offers rapid and sensitive detection of infectious diseases. This single-step, room-temperature technique enables ultrasensitive virus detection without complex sample preparation.
Area of Science:
- Nanotechnology
- Biomedical Diagnostics
- Optofluidics
Background:
- Rapid and sensitive infectious disease diagnostics are crucial, highlighted by the COVID-19 pandemic.
- Current diagnostic methods often require complex steps like separation and amplification.
Purpose of the Study:
- To introduce a novel diagnostic strategy, DIgitAl plasMONic nanobubble Detection (DIAMOND), for rapid and ultrasensitive detection of infectious diseases.
- To demonstrate DIAMOND's capability for compartment-free digital counting and homogeneous immunoassays.
Main Methods:
- Utilizing plasmonic nanobubbles generated by laser-heated gold nanoparticles (NPs) for single-NP detection.
- Employing an optofluidic setup for compartment-free digital counting in homogeneous immunoassays.
- Applying the DIAMOND strategy to detect respiratory syncytial virus (RSV) in nasal swab samples.
Main Results:
- DIAMOND achieved a detection limit of approximately 100 PFU/mL (1 RNA copy/µL) for RSV.
- The method demonstrated compartment-free digital counting without separation or amplification steps.
- Successful specific detection of RSV spiked in nasal swab samples was achieved.
Conclusions:
- DIAMOND is a one-step, single-NP detection platform for direct sensing of intact viruses at room temperature.
- The technology offers advantages such as no complex liquid handling, making it suitable for rapid and ultrasensitive diagnostics.
- DIAMOND presents a promising platform technology for addressing the unmet need for efficient infectious disease diagnostics.

